2024/01/01 22:38:49 - mmengine - INFO - Iter(train) [   500/640000]  base_lr: 2.0000e-04 lr: 2.0000e-05  eta: 11 days, 5:24:02  time: 1.5166  data_time: 0.0114  memory: 25685  grad_norm: 33.0434  loss: 6.2737  caption_loss_cls: 12.5696  detection_loss_cls: 1.6176  detection_loss_reg: 0.9343  semantic_segmentation_loss_cls: 0.2450  grounding_loss_reg: 11.4400  instance_segmentation_loss_cls: 1.0438  instance_segmentation_loss_reg: 0.9658  instance_segmentation_loss_poly: 3.9015
2024/01/01 22:51:19 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/01 22:51:19 - mmengine - INFO - Iter(train) [  1000/640000]  base_lr: 2.0000e-04 lr: 2.0000e-05  eta: 11 days, 3:37:28  time: 1.5077  data_time: 0.0109  memory: 25685  grad_norm: 23.1533  loss: 5.0888  caption_loss_cls: 9.4701  detection_loss_cls: 0.9446  detection_loss_reg: 0.7794  semantic_segmentation_loss_cls: 0.1739  grounding_loss_reg: 9.5128  instance_segmentation_loss_cls: 0.7035  instance_segmentation_loss_reg: 0.7910  instance_segmentation_loss_poly: 3.0479
2024/01/01 23:03:54 - mmengine - INFO - Iter(train) [  1500/640000]  base_lr: 2.0000e-04 lr: 2.0000e-05  eta: 11 days, 3:34:26  time: 1.5086  data_time: 0.0108  memory: 25685  grad_norm: 17.6954  loss: 4.4624  caption_loss_cls: 8.0333  detection_loss_cls: 0.6946  detection_loss_reg: 0.7212  semantic_segmentation_loss_cls: 0.1363  grounding_loss_reg: 8.6129  instance_segmentation_loss_cls: 0.5395  instance_segmentation_loss_reg: 0.7208  instance_segmentation_loss_poly: 2.6850
2024/01/01 23:16:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/01 23:16:53 - mmengine - INFO - Iter(train) [  2000/640000]  base_lr: 2.0000e-04 lr: 2.0000e-05  eta: 11 days, 5:34:12  time: 1.5211  data_time: 0.0109  memory: 25685  grad_norm: 14.6185  loss: 4.0903  caption_loss_cls: 7.1540  detection_loss_cls: 0.5592  detection_loss_reg: 0.6734  semantic_segmentation_loss_cls: 0.1155  grounding_loss_reg: 8.0990  instance_segmentation_loss_cls: 0.4318  instance_segmentation_loss_reg: 0.6744  instance_segmentation_loss_poly: 2.4185
2024/01/01 23:16:53 - mmengine - INFO - Saving checkpoint at 2000 iterations
2024/01/01 23:30:09 - mmengine - INFO - Iter(train) [  2500/640000]  base_lr: 1.9999e-04 lr: 1.9999e-05  eta: 11 days, 7:51:16  time: 1.5352  data_time: 0.0211  memory: 25685  grad_norm: 12.5598  loss: 3.8558  caption_loss_cls: 6.6163  detection_loss_cls: 0.4667  detection_loss_reg: 0.6441  semantic_segmentation_loss_cls: 0.1012  grounding_loss_reg: 7.7361  instance_segmentation_loss_cls: 0.3723  instance_segmentation_loss_reg: 0.6402  instance_segmentation_loss_poly: 2.2595
2024/01/01 23:43:06 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/01 23:43:06 - mmengine - INFO - Iter(train) [  3000/640000]  base_lr: 1.9999e-04 lr: 1.9999e-05  eta: 11 days, 8:13:25  time: 1.5385  data_time: 0.0195  memory: 25685  grad_norm: 11.0927  loss: 3.6406  caption_loss_cls: 6.2271  detection_loss_cls: 0.3971  detection_loss_reg: 0.6141  semantic_segmentation_loss_cls: 0.0899  grounding_loss_reg: 7.4892  instance_segmentation_loss_cls: 0.3317  instance_segmentation_loss_reg: 0.6187  instance_segmentation_loss_poly: 2.1436
2024/01/01 23:55:54 - mmengine - INFO - Iter(train) [  3500/640000]  base_lr: 1.9999e-04 lr: 1.9999e-05  eta: 11 days, 7:57:26  time: 1.5382  data_time: 0.0182  memory: 25685  grad_norm: 9.9919  loss: 3.4821  caption_loss_cls: 5.9094  detection_loss_cls: 0.3506  detection_loss_reg: 0.5930  semantic_segmentation_loss_cls: 0.0806  grounding_loss_reg: 7.2719  instance_segmentation_loss_cls: 0.3003  instance_segmentation_loss_reg: 0.5994  instance_segmentation_loss_poly: 2.0556
2024/01/02 00:08:55 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 00:08:55 - mmengine - INFO - Iter(train) [  4000/640000]  base_lr: 1.9998e-04 lr: 1.9998e-05  eta: 11 days, 8:14:24  time: 1.5410  data_time: 0.0173  memory: 25685  grad_norm: 9.1000  loss: 3.3253  caption_loss_cls: 5.6507  detection_loss_cls: 0.3172  detection_loss_reg: 0.5730  semantic_segmentation_loss_cls: 0.0723  grounding_loss_reg: 7.1102  instance_segmentation_loss_cls: 0.2751  instance_segmentation_loss_reg: 0.5886  instance_segmentation_loss_poly: 1.9959
2024/01/02 00:08:55 - mmengine - INFO - Saving checkpoint at 4000 iterations
2024/01/02 00:21:53 - mmengine - INFO - Iter(train) [  4500/640000]  base_lr: 1.9998e-04 lr: 1.9998e-05  eta: 11 days, 8:18:33  time: 1.5458  data_time: 0.0234  memory: 25685  grad_norm: 5.3651  loss: 2.8592  caption_loss_cls: 5.4213  detection_loss_cls: 0.2880  detection_loss_reg: 0.5596  semantic_segmentation_loss_cls: 0.0673  grounding_loss_reg: 6.9553  instance_segmentation_loss_cls: 0.2568  instance_segmentation_loss_reg: 0.5855  instance_segmentation_loss_poly: 1.9652
2024/01/02 00:35:04 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 00:35:04 - mmengine - INFO - Iter(train) [  5000/640000]  base_lr: 1.9997e-04 lr: 1.9997e-05  eta: 11 days, 8:47:36  time: 1.5562  data_time: 0.0234  memory: 25685  grad_norm: 4.0557  loss: 2.6573  caption_loss_cls: 5.2657  detection_loss_cls: 0.2647  detection_loss_reg: 0.5519  semantic_segmentation_loss_cls: 0.0629  grounding_loss_reg: 6.8333  instance_segmentation_loss_cls: 0.2395  instance_segmentation_loss_reg: 0.5718  instance_segmentation_loss_poly: 1.9069
2024/01/02 00:48:47 - mmengine - INFO - Iter(train) [  5500/640000]  base_lr: 1.9996e-04 lr: 1.9996e-05  eta: 11 days, 10:11:42  time: 1.5734  data_time: 0.0237  memory: 25685  grad_norm: 3.5501  loss: 2.5471  caption_loss_cls: 5.1347  detection_loss_cls: 0.2488  detection_loss_reg: 0.5443  semantic_segmentation_loss_cls: 0.0596  grounding_loss_reg: 6.7323  instance_segmentation_loss_cls: 0.2202  instance_segmentation_loss_reg: 0.5538  instance_segmentation_loss_poly: 1.8377
2024/01/02 01:01:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 01:01:39 - mmengine - INFO - Iter(train) [  6000/640000]  base_lr: 1.9996e-04 lr: 1.9996e-05  eta: 11 days, 9:48:27  time: 1.5716  data_time: 0.0236  memory: 25685  grad_norm: 3.2403  loss: 2.4700  caption_loss_cls: 4.9812  detection_loss_cls: 0.2342  detection_loss_reg: 0.5422  semantic_segmentation_loss_cls: 0.0566  grounding_loss_reg: 6.6311  instance_segmentation_loss_cls: 0.2092  instance_segmentation_loss_reg: 0.5491  instance_segmentation_loss_poly: 1.8086
2024/01/02 01:01:39 - mmengine - INFO - Saving checkpoint at 6000 iterations
2024/01/02 01:14:56 - mmengine - INFO - Iter(train) [  6500/640000]  base_lr: 1.9995e-04 lr: 1.9995e-05  eta: 11 days, 10:06:21  time: 1.5717  data_time: 0.0233  memory: 25685  grad_norm: 3.0500  loss: 2.3861  caption_loss_cls: 4.8710  detection_loss_cls: 0.2199  detection_loss_reg: 0.5281  semantic_segmentation_loss_cls: 0.0540  grounding_loss_reg: 6.5381  instance_segmentation_loss_cls: 0.1993  instance_segmentation_loss_reg: 0.5403  instance_segmentation_loss_poly: 1.7710
2024/01/02 01:28:04 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 01:28:04 - mmengine - INFO - Iter(train) [  7000/640000]  base_lr: 1.9994e-04 lr: 1.9994e-05  eta: 11 days, 10:08:13  time: 1.5745  data_time: 0.0234  memory: 25685  grad_norm: 2.9244  loss: 2.3349  caption_loss_cls: 4.7694  detection_loss_cls: 0.2083  detection_loss_reg: 0.5228  semantic_segmentation_loss_cls: 0.0518  grounding_loss_reg: 6.4398  instance_segmentation_loss_cls: 0.1897  instance_segmentation_loss_reg: 0.5305  instance_segmentation_loss_poly: 1.7287
2024/01/02 01:40:36 - mmengine - INFO - Iter(train) [  7500/640000]  base_lr: 1.9993e-04 lr: 1.9993e-05  eta: 11 days, 9:15:13  time: 1.5702  data_time: 0.0234  memory: 25685  grad_norm: 2.8625  loss: 2.3061  caption_loss_cls: 4.6567  detection_loss_cls: 0.1997  detection_loss_reg: 0.5203  semantic_segmentation_loss_cls: 0.0499  grounding_loss_reg: 6.3569  instance_segmentation_loss_cls: 0.1828  instance_segmentation_loss_reg: 0.5266  instance_segmentation_loss_poly: 1.7111
2024/01/02 01:53:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 01:53:49 - mmengine - INFO - Iter(train) [  8000/640000]  base_lr: 1.9992e-04 lr: 1.9992e-05  eta: 11 days, 9:23:22  time: 1.5736  data_time: 0.0234  memory: 25685  grad_norm: 2.8339  loss: 2.2754  caption_loss_cls: 4.5615  detection_loss_cls: 0.1904  detection_loss_reg: 0.5112  semantic_segmentation_loss_cls: 0.0480  grounding_loss_reg: 6.2871  instance_segmentation_loss_cls: 0.1751  instance_segmentation_loss_reg: 0.5179  instance_segmentation_loss_poly: 1.6790
2024/01/02 01:53:49 - mmengine - INFO - Saving checkpoint at 8000 iterations
2024/01/02 02:07:14 - mmengine - INFO - Iter(train) [  8500/640000]  base_lr: 1.9991e-04 lr: 1.9991e-05  eta: 11 days, 9:42:42  time: 1.5803  data_time: 0.0235  memory: 25685  grad_norm: 2.8029  loss: 2.2441  caption_loss_cls: 4.5020  detection_loss_cls: 0.1833  detection_loss_reg: 0.5096  semantic_segmentation_loss_cls: 0.0465  grounding_loss_reg: 6.2036  instance_segmentation_loss_cls: 0.1689  instance_segmentation_loss_reg: 0.5148  instance_segmentation_loss_poly: 1.6613
2024/01/02 02:20:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 02:20:11 - mmengine - INFO - Iter(train) [  9000/640000]  base_lr: 1.9990e-04 lr: 1.9990e-05  eta: 11 days, 9:25:40  time: 1.5767  data_time: 0.0236  memory: 25685  grad_norm: 2.8035  loss: 2.2228  caption_loss_cls: 4.4150  detection_loss_cls: 0.1772  detection_loss_reg: 0.5058  semantic_segmentation_loss_cls: 0.0453  grounding_loss_reg: 6.1349  instance_segmentation_loss_cls: 0.1630  instance_segmentation_loss_reg: 0.5116  instance_segmentation_loss_poly: 1.6408
2024/01/02 02:33:11 - mmengine - INFO - Iter(train) [  9500/640000]  base_lr: 1.9989e-04 lr: 1.9989e-05  eta: 11 days, 9:12:41  time: 1.5658  data_time: 0.0234  memory: 25685  grad_norm: 2.8062  loss: 2.1915  caption_loss_cls: 4.3586  detection_loss_cls: 0.1717  detection_loss_reg: 0.5069  semantic_segmentation_loss_cls: 0.0441  grounding_loss_reg: 6.0706  instance_segmentation_loss_cls: 0.1578  instance_segmentation_loss_reg: 0.5077  instance_segmentation_loss_poly: 1.6251
2024/01/02 02:46:04 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 02:46:04 - mmengine - INFO - Iter(train) [ 10000/640000]  base_lr: 1.9988e-04 lr: 1.9988e-05  eta: 11 days, 8:52:16  time: 1.5660  data_time: 0.0234  memory: 25685  grad_norm: 2.8024  loss: 2.1573  caption_loss_cls: 4.3004  detection_loss_cls: 0.1662  detection_loss_reg: 0.5013  semantic_segmentation_loss_cls: 0.0429  grounding_loss_reg: 5.9928  instance_segmentation_loss_cls: 0.1524  instance_segmentation_loss_reg: 0.5018  instance_segmentation_loss_poly: 1.6009
2024/01/02 02:46:04 - mmengine - INFO - Saving checkpoint at 10000 iterations
2024/01/02 02:59:29 - mmengine - INFO - Iter(train) [ 10500/640000]  base_lr: 1.9987e-04 lr: 1.9987e-05  eta: 11 days, 9:04:36  time: 1.5682  data_time: 0.0235  memory: 25685  grad_norm: 2.7639  loss: 2.1169  caption_loss_cls: 4.2461  detection_loss_cls: 0.1618  detection_loss_reg: 0.5024  semantic_segmentation_loss_cls: 0.0414  grounding_loss_reg: 5.9452  instance_segmentation_loss_cls: 0.1480  instance_segmentation_loss_reg: 0.4978  instance_segmentation_loss_poly: 1.5823
2024/01/02 03:12:25 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 03:12:25 - mmengine - INFO - Iter(train) [ 11000/640000]  base_lr: 1.9985e-04 lr: 1.9985e-05  eta: 11 days, 8:47:02  time: 1.5650  data_time: 0.0244  memory: 25685  grad_norm: 2.7669  loss: 2.1001  caption_loss_cls: 4.2006  detection_loss_cls: 0.1575  detection_loss_reg: 0.4985  semantic_segmentation_loss_cls: 0.0402  grounding_loss_reg: 5.8884  instance_segmentation_loss_cls: 0.1447  instance_segmentation_loss_reg: 0.4976  instance_segmentation_loss_poly: 1.5757
2024/01/02 03:24:59 - mmengine - INFO - Iter(train) [ 11500/640000]  base_lr: 1.9984e-04 lr: 1.9984e-05  eta: 11 days, 8:09:32  time: 1.5657  data_time: 0.0244  memory: 25685  grad_norm: 2.7860  loss: 2.0791  caption_loss_cls: 4.1493  detection_loss_cls: 0.1535  detection_loss_reg: 0.4969  semantic_segmentation_loss_cls: 0.0393  grounding_loss_reg: 5.8287  instance_segmentation_loss_cls: 0.1416  instance_segmentation_loss_reg: 0.4965  instance_segmentation_loss_poly: 1.5665
2024/01/02 03:38:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 03:38:03 - mmengine - INFO - Iter(train) [ 12000/640000]  base_lr: 1.9983e-04 lr: 1.9983e-05  eta: 11 days, 8:01:05  time: 1.5635  data_time: 0.0245  memory: 25685  grad_norm: 2.8107  loss: 2.0797  caption_loss_cls: 4.1074  detection_loss_cls: 0.1499  detection_loss_reg: 0.4944  semantic_segmentation_loss_cls: 0.0384  grounding_loss_reg: 5.7714  instance_segmentation_loss_cls: 0.1381  instance_segmentation_loss_reg: 0.4957  instance_segmentation_loss_poly: 1.5577
2024/01/02 03:38:03 - mmengine - INFO - Saving checkpoint at 12000 iterations
2024/01/02 03:50:56 - mmengine - INFO - Iter(train) [ 12500/640000]  base_lr: 1.9981e-04 lr: 1.9981e-05  eta: 11 days, 7:42:10  time: 1.5554  data_time: 0.0244  memory: 25685  grad_norm: 2.8161  loss: 2.0580  caption_loss_cls: 4.0755  detection_loss_cls: 0.1461  detection_loss_reg: 0.4919  semantic_segmentation_loss_cls: 0.0376  grounding_loss_reg: 5.7236  instance_segmentation_loss_cls: 0.1357  instance_segmentation_loss_reg: 0.4938  instance_segmentation_loss_poly: 1.5482
2024/01/02 04:04:01 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 04:04:01 - mmengine - INFO - Iter(train) [ 13000/640000]  base_lr: 1.9980e-04 lr: 1.9980e-05  eta: 11 days, 7:34:10  time: 1.5576  data_time: 0.0244  memory: 25685  grad_norm: 2.7797  loss: 2.0305  caption_loss_cls: 4.0433  detection_loss_cls: 0.1418  detection_loss_reg: 0.4908  semantic_segmentation_loss_cls: 0.0368  grounding_loss_reg: 5.6830  instance_segmentation_loss_cls: 0.1336  instance_segmentation_loss_reg: 0.4950  instance_segmentation_loss_poly: 1.5449
2024/01/02 04:16:39 - mmengine - INFO - Iter(train) [ 13500/640000]  base_lr: 1.9978e-04 lr: 1.9978e-05  eta: 11 days, 7:04:06  time: 1.5520  data_time: 0.0244  memory: 25685  grad_norm: 2.7891  loss: 2.0227  caption_loss_cls: 4.0018  detection_loss_cls: 0.1390  detection_loss_reg: 0.4882  semantic_segmentation_loss_cls: 0.0360  grounding_loss_reg: 5.6347  instance_segmentation_loss_cls: 0.1316  instance_segmentation_loss_reg: 0.4963  instance_segmentation_loss_poly: 1.5454
2024/01/02 04:29:19 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 04:29:19 - mmengine - INFO - Iter(train) [ 14000/640000]  base_lr: 1.9976e-04 lr: 1.9976e-05  eta: 11 days, 6:36:55  time: 1.5487  data_time: 0.0244  memory: 25685  grad_norm: 2.7944  loss: 2.0063  caption_loss_cls: 3.9520  detection_loss_cls: 0.1363  detection_loss_reg: 0.4855  semantic_segmentation_loss_cls: 0.0357  grounding_loss_reg: 5.5892  instance_segmentation_loss_cls: 0.1287  instance_segmentation_loss_reg: 0.4925  instance_segmentation_loss_poly: 1.5310
2024/01/02 04:29:19 - mmengine - INFO - Saving checkpoint at 14000 iterations
2024/01/02 04:42:39 - mmengine - INFO - Iter(train) [ 14500/640000]  base_lr: 1.9975e-04 lr: 1.9975e-05  eta: 11 days, 6:39:31  time: 1.5474  data_time: 0.0245  memory: 25685  grad_norm: 2.8188  loss: 2.0091  caption_loss_cls: 3.9194  detection_loss_cls: 0.1337  detection_loss_reg: 0.4841  semantic_segmentation_loss_cls: 0.0350  grounding_loss_reg: 5.5552  instance_segmentation_loss_cls: 0.1263  instance_segmentation_loss_reg: 0.4920  instance_segmentation_loss_poly: 1.5242
2024/01/02 04:55:54 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 04:55:54 - mmengine - INFO - Iter(train) [ 15000/640000]  base_lr: 1.9973e-04 lr: 1.9973e-05  eta: 11 days, 6:38:18  time: 1.5524  data_time: 0.0237  memory: 25685  grad_norm: 2.8160  loss: 2.0085  caption_loss_cls: 3.8891  detection_loss_cls: 0.1314  detection_loss_reg: 0.4837  semantic_segmentation_loss_cls: 0.0344  grounding_loss_reg: 5.5243  instance_segmentation_loss_cls: 0.1240  instance_segmentation_loss_reg: 0.4909  instance_segmentation_loss_poly: 1.5153
2024/01/02 05:08:33 - mmengine - INFO - Iter(train) [ 15500/640000]  base_lr: 1.9971e-04 lr: 1.9971e-05  eta: 11 days, 6:11:04  time: 1.5535  data_time: 0.0236  memory: 25685  grad_norm: 2.7792  loss: 1.9651  caption_loss_cls: 3.8518  detection_loss_cls: 0.1292  detection_loss_reg: 0.4813  semantic_segmentation_loss_cls: 0.0338  grounding_loss_reg: 5.4842  instance_segmentation_loss_cls: 0.1217  instance_segmentation_loss_reg: 0.4863  instance_segmentation_loss_poly: 1.5015
2024/01/02 05:21:35 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 05:21:35 - mmengine - INFO - Iter(train) [ 16000/640000]  base_lr: 1.9969e-04 lr: 1.9969e-05  eta: 11 days, 6:00:43  time: 1.5530  data_time: 0.0236  memory: 25685  grad_norm: 2.7389  loss: 1.9467  caption_loss_cls: 3.8260  detection_loss_cls: 0.1272  detection_loss_reg: 0.4817  semantic_segmentation_loss_cls: 0.0331  grounding_loss_reg: 5.4539  instance_segmentation_loss_cls: 0.1198  instance_segmentation_loss_reg: 0.4863  instance_segmentation_loss_poly: 1.4951
2024/01/02 05:21:35 - mmengine - INFO - Saving checkpoint at 16000 iterations
2024/01/02 05:34:56 - mmengine - INFO - Iter(train) [ 16500/640000]  base_lr: 1.9967e-04 lr: 1.9967e-05  eta: 11 days, 6:01:25  time: 1.5600  data_time: 0.0237  memory: 25685  grad_norm: 2.7474  loss: 1.9286  caption_loss_cls: 3.8002  detection_loss_cls: 0.1248  detection_loss_reg: 0.4808  semantic_segmentation_loss_cls: 0.0327  grounding_loss_reg: 5.4149  instance_segmentation_loss_cls: 0.1183  instance_segmentation_loss_reg: 0.4877  instance_segmentation_loss_poly: 1.4954
2024/01/02 05:47:27 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 05:47:27 - mmengine - INFO - Iter(train) [ 17000/640000]  base_lr: 1.9965e-04 lr: 1.9965e-05  eta: 11 days, 5:30:57  time: 1.5514  data_time: 0.0236  memory: 25685  grad_norm: 2.7813  loss: 1.9122  caption_loss_cls: 3.7758  detection_loss_cls: 0.1228  detection_loss_reg: 0.4792  semantic_segmentation_loss_cls: 0.0321  grounding_loss_reg: 5.3838  instance_segmentation_loss_cls: 0.1166  instance_segmentation_loss_reg: 0.4847  instance_segmentation_loss_poly: 1.4846
2024/01/02 06:00:03 - mmengine - INFO - Iter(train) [ 17500/640000]  base_lr: 1.9963e-04 lr: 1.9963e-05  eta: 11 days, 5:04:27  time: 1.5510  data_time: 0.0236  memory: 25685  grad_norm: 2.7766  loss: 1.9020  caption_loss_cls: 3.7514  detection_loss_cls: 0.1214  detection_loss_reg: 0.4792  semantic_segmentation_loss_cls: 0.0316  grounding_loss_reg: 5.3555  instance_segmentation_loss_cls: 0.1148  instance_segmentation_loss_reg: 0.4819  instance_segmentation_loss_poly: 1.4747
2024/01/02 06:12:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 06:12:56 - mmengine - INFO - Iter(train) [ 18000/640000]  base_lr: 1.9961e-04 lr: 1.9961e-05  eta: 11 days, 4:48:23  time: 1.5542  data_time: 0.0236  memory: 25685  grad_norm: 2.7451  loss: 1.8886  caption_loss_cls: 3.7229  detection_loss_cls: 0.1198  detection_loss_reg: 0.4778  semantic_segmentation_loss_cls: 0.0312  grounding_loss_reg: 5.3274  instance_segmentation_loss_cls: 0.1133  instance_segmentation_loss_reg: 0.4817  instance_segmentation_loss_poly: 1.4721
2024/01/02 06:12:56 - mmengine - INFO - Saving checkpoint at 18000 iterations
2024/01/02 06:26:07 - mmengine - INFO - Iter(train) [ 18500/640000]  base_lr: 1.9959e-04 lr: 1.9959e-05  eta: 11 days, 4:42:40  time: 1.5519  data_time: 0.0236  memory: 25685  grad_norm: 2.7961  loss: 1.8855  caption_loss_cls: 3.7058  detection_loss_cls: 0.1182  detection_loss_reg: 0.4775  semantic_segmentation_loss_cls: 0.0307  grounding_loss_reg: 5.2936  instance_segmentation_loss_cls: 0.1118  instance_segmentation_loss_reg: 0.4805  instance_segmentation_loss_poly: 1.4642
2024/01/02 06:38:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 06:38:39 - mmengine - INFO - Iter(train) [ 19000/640000]  base_lr: 1.9957e-04 lr: 1.9957e-05  eta: 11 days, 4:15:49  time: 1.5412  data_time: 0.0235  memory: 25685  grad_norm: 2.8273  loss: 1.8748  caption_loss_cls: 3.6794  detection_loss_cls: 0.1170  detection_loss_reg: 0.4775  semantic_segmentation_loss_cls: 0.0303  grounding_loss_reg: 5.2621  instance_segmentation_loss_cls: 0.1106  instance_segmentation_loss_reg: 0.4806  instance_segmentation_loss_poly: 1.4622
2024/01/02 06:52:01 - mmengine - INFO - Iter(train) [ 19500/640000]  base_lr: 1.9954e-04 lr: 1.9954e-05  eta: 11 days, 4:15:43  time: 1.5521  data_time: 0.0237  memory: 25685  grad_norm: 2.8052  loss: 1.8775  caption_loss_cls: 3.6660  detection_loss_cls: 0.1154  detection_loss_reg: 0.4755  semantic_segmentation_loss_cls: 0.0299  grounding_loss_reg: 5.2409  instance_segmentation_loss_cls: 0.1087  instance_segmentation_loss_reg: 0.4776  instance_segmentation_loss_poly: 1.4524
2024/01/02 07:04:37 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 07:04:37 - mmengine - INFO - Iter(train) [ 20000/640000]  base_lr: 1.9952e-04 lr: 1.9952e-05  eta: 11 days, 3:51:15  time: 1.5454  data_time: 0.0236  memory: 25685  grad_norm: 2.8638  loss: 1.8835  caption_loss_cls: 3.4349  detection_loss_cls: 0.1139  detection_loss_reg: 0.4741  semantic_segmentation_loss_cls: 0.0243  grounding_loss_reg: 5.2132  instance_segmentation_loss_cls: 0.1076  instance_segmentation_loss_reg: 0.4772  instance_segmentation_loss_poly: 1.4492
2024/01/02 07:04:37 - mmengine - INFO - Saving checkpoint at 20000 iterations
2024/01/02 07:16:07 - mmengine - INFO - Evaluating bbox...
2024/01/02 07:17:02 - mmengine - INFO - bbox_mAP_copypaste: 0.327 0.512 0.360 0.216 0.390 0.407
2024/01/02 07:17:02 - mmengine - INFO - Evaluating segm...
2024/01/02 07:18:13 - mmengine - INFO - segm_mAP_copypaste: 0.174 0.379 0.141 0.075 0.224 0.301
2024/01/02 07:20:22 - mmengine - INFO - Evaluating bbox...
2024/01/02 07:21:19 - mmengine - INFO - bbox_mAP_copypaste: 0.328 0.513 0.361 0.216 0.390 0.411
2024/01/02 07:26:37 - mmengine - INFO - per class results:
2024/01/02 07:26:37 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 73.48 | 84.41 |
|       building      | 78.91 | 93.96 |
|         sky         |  92.3 | 96.21 |
|        floor        |  79.8 | 86.49 |
|         tree        | 70.09 | 85.94 |
|       ceiling       | 82.44 | 93.52 |
|         road        | 79.51 | 88.16 |
|         bed         | 85.51 | 93.36 |
|      windowpane     | 59.54 | 77.05 |
|        grass        | 64.88 | 76.73 |
|       cabinet       | 51.14 | 79.39 |
|       sidewalk      | 60.18 | 82.68 |
|        person       | 77.03 | 84.45 |
|        earth        | 37.62 | 55.93 |
|         door        | 40.66 | 54.35 |
|        table        | 52.06 | 69.25 |
|       mountain      | 52.89 |  79.0 |
|        plant        | 46.15 | 53.86 |
|       curtain       | 69.94 | 89.35 |
|        chair        | 52.61 | 67.49 |
|         car         | 79.89 | 90.65 |
|        water        |  45.8 |  56.7 |
|       painting      | 59.65 | 90.05 |
|         sofa        | 54.21 | 86.78 |
|        shelf        | 23.34 | 28.32 |
|        house        | 37.11 |  52.3 |
|         sea         | 48.16 | 90.75 |
|        mirror       | 45.61 | 80.05 |
|         rug         | 65.35 | 81.49 |
|        field        | 21.49 | 29.07 |
|       armchair      | 10.79 | 11.84 |
|         seat        | 62.93 | 76.49 |
|        fence        | 37.24 |  48.3 |
|         desk        | 30.27 | 43.49 |
|         rock        | 28.57 | 33.31 |
|       wardrobe      | 30.79 | 33.41 |
|         lamp        | 52.89 | 67.63 |
|       bathtub       |  61.5 | 86.75 |
|       railing       | 33.85 | 42.17 |
|       cushion       | 44.86 | 54.72 |
|         base        | 14.46 | 15.79 |
|         box         | 17.74 | 21.08 |
|        column       | 43.01 | 48.34 |
|      signboard      | 24.96 |  29.3 |
|   chest of drawers  | 19.61 | 29.06 |
|       counter       | 22.89 | 31.71 |
|         sand        | 33.86 | 38.88 |
|         sink        | 56.68 | 63.72 |
|      skyscraper     | 56.54 |  76.6 |
|      fireplace      | 62.95 |  76.4 |
|     refrigerator    | 63.36 | 72.03 |
|      grandstand     | 46.29 |  54.0 |
|         path        | 13.84 | 15.63 |
|        stairs       | 25.83 | 28.75 |
|        runway       | 67.18 | 76.45 |
|         case        | 31.68 | 53.47 |
|      pool table     | 85.64 | 95.78 |
|        pillow       | 50.02 | 61.96 |
|     screen door     | 24.67 | 25.33 |
|       stairway      | 28.97 | 55.19 |
|        river        | 21.08 | 26.35 |
|        bridge       | 56.75 | 87.01 |
|       bookcase      | 24.37 | 63.25 |
|        blind        | 36.67 | 41.58 |
|     coffee table    |  46.8 | 59.17 |
|        toilet       | 78.77 | 85.26 |
|        flower       | 28.96 |  40.0 |
|         book        | 34.83 | 56.92 |
|         hill        |  0.0  |  0.0  |
|        bench        | 51.29 | 61.22 |
|      countertop     | 24.98 | 25.93 |
|        stove        | 57.73 | 66.92 |
|         palm        | 47.01 | 68.47 |
|    kitchen island   | 27.21 | 78.16 |
|       computer      | 65.08 | 85.85 |
|     swivel chair    | 34.57 | 58.95 |
|         boat        | 39.17 | 41.09 |
|         bar         | 21.16 | 31.54 |
|    arcade machine   | 36.75 | 96.52 |
|        hovel        |  0.0  |  0.0  |
|         bus         | 84.63 | 87.99 |
|        towel        | 51.26 | 60.74 |
|        light        |  46.4 | 59.76 |
|        truck        | 29.49 | 45.71 |
|        tower        |  0.61 |  0.64 |
|      chandelier     | 52.17 | 59.09 |
|        awning       | 17.73 | 19.09 |
|     streetlight     | 16.74 | 19.41 |
|        booth        | 28.21 | 29.33 |
| television receiver | 55.28 | 64.97 |
|       airplane      | 53.74 | 62.91 |
|      dirt track     |  0.0  |  0.0  |
|       apparel       | 20.65 | 38.29 |
|         pole        |  18.3 | 26.96 |
|         land        |  0.0  |  0.0  |
|      bannister      |  5.44 |  6.24 |
|      escalator      | 48.67 | 71.45 |
|       ottoman       | 37.36 | 59.67 |
|        bottle       | 19.51 | 24.36 |
|        buffet       |  22.7 | 24.38 |
|        poster       | 15.32 | 21.95 |
|        stage        |  3.06 |  3.8  |
|         van         | 26.62 | 31.27 |
|         ship        |  4.09 |  5.69 |
|       fountain      | 31.65 | 35.85 |
|    conveyer belt    | 55.86 | 62.71 |
|        canopy       |  9.31 |  9.55 |
|        washer       | 55.31 | 63.85 |
|      plaything      | 17.06 | 18.73 |
|    swimming pool    | 43.58 | 73.43 |
|        stool        | 27.54 | 39.12 |
|        barrel       | 49.05 | 50.87 |
|        basket       | 20.76 |  22.4 |
|      waterfall      | 61.41 | 84.95 |
|         tent        | 60.32 |  98.6 |
|         bag         | 17.37 | 21.04 |
|       minibike      | 67.46 |  77.2 |
|        cradle       | 55.82 | 97.83 |
|         oven        | 23.12 | 40.28 |
|         ball        | 38.58 | 66.66 |
|         food        | 44.51 | 48.95 |
|         step        |  1.85 |  2.11 |
|         tank        | 30.33 | 35.73 |
|      trade name     |  1.99 |  2.03 |
|      microwave      | 73.37 | 81.61 |
|         pot         | 38.91 | 51.06 |
|        animal       | 55.01 | 60.14 |
|       bicycle       | 50.82 | 64.02 |
|         lake        |  0.0  |  0.0  |
|      dishwasher     | 37.33 | 47.12 |
|        screen       | 48.54 | 88.01 |
|       blanket       |  6.72 |  7.55 |
|      sculpture      | 38.32 | 47.05 |
|         hood        | 39.59 | 43.28 |
|        sconce       |  5.17 |  5.43 |
|         vase        | 28.77 | 38.82 |
|    traffic light    | 12.33 | 13.71 |
|         tray        |  6.1  | 20.48 |
|        ashcan       |  8.82 |  9.18 |
|         fan         | 42.29 | 48.84 |
|         pier        | 27.28 | 30.44 |
|      crt screen     |  4.66 |  5.83 |
|        plate        | 35.54 | 44.84 |
|       monitor       | 58.42 | 76.69 |
|    bulletin board   |  3.86 |  5.1  |
|        shower       |  0.31 |  7.78 |
|       radiator      | 26.44 | 27.27 |
|        glass        |  10.0 | 10.93 |
|        clock        | 28.86 | 48.04 |
|         flag        | 41.33 | 61.65 |
+---------------------+-------+-------+
2024/01/02 07:26:50 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.3280  coco/bbox_mAP_50: 0.5130  coco/bbox_mAP_75: 0.3610  coco/bbox_mAP_s: 0.2160  coco/bbox_mAP_m: 0.3900  coco/bbox_mAP_l: 0.4110  coco/segm_mAP: 0.1740  coco/segm_mAP_50: 0.3790  coco/segm_mAP_75: 0.1410  coco/segm_mAP_s: 0.0750  coco/segm_mAP_m: 0.2240  coco/segm_mAP_l: 0.3010  Bleu_1: 0.6737  Bleu_2: 0.5005  Bleu_3: 0.3588  Bleu_4: 0.2527  METEOR: 0.2242  ROUGE_L: 0.5023  CIDEr: 0.7641  SPICE: 0.1627  aAcc: 79.5400  mIoU: 38.6900  mAcc: 50.2700  visual-grounding/miou: 0.5134  visual-grounding/acc: 0.5713  data_time: 0.0249  time: 1.9202
2024/01/02 07:39:38 - mmengine - INFO - Iter(train) [ 20500/640000]  base_lr: 1.9949e-04 lr: 1.9949e-05  eta: 11 days, 3:34:30  time: 1.5377  data_time: 0.0182  memory: 34776  grad_norm: 2.8228  loss: 1.8687  caption_loss_cls: 3.3218  detection_loss_cls: 0.0878  detection_loss_reg: 0.4647  semantic_segmentation_loss_cls: 0.0227  grounding_loss_reg: 5.0837  instance_segmentation_loss_cls: 0.0882  instance_segmentation_loss_reg: 0.4661  instance_segmentation_loss_poly: 1.3933
2024/01/02 07:51:54 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 07:51:54 - mmengine - INFO - Iter(train) [ 21000/640000]  base_lr: 1.9947e-04 lr: 1.9947e-05  eta: 11 days, 3:01:30  time: 1.5342  data_time: 0.0184  memory: 25684  grad_norm: 2.8486  loss: 1.8879  caption_loss_cls: 3.2689  detection_loss_cls: 0.0745  detection_loss_reg: 0.4562  semantic_segmentation_loss_cls: 0.0210  grounding_loss_reg: 4.9640  instance_segmentation_loss_cls: 0.0768  instance_segmentation_loss_reg: 0.4611  instance_segmentation_loss_poly: 1.3665
2024/01/02 08:04:37 - mmengine - INFO - Iter(train) [ 21500/640000]  base_lr: 1.9944e-04 lr: 1.9944e-05  eta: 11 days, 2:42:01  time: 1.5359  data_time: 0.0186  memory: 25684  grad_norm: 2.8566  loss: 1.8681  caption_loss_cls: 3.2300  detection_loss_cls: 0.0701  detection_loss_reg: 0.4524  semantic_segmentation_loss_cls: 0.0202  grounding_loss_reg: 4.8828  instance_segmentation_loss_cls: 0.0719  instance_segmentation_loss_reg: 0.4548  instance_segmentation_loss_poly: 1.3411
2024/01/02 08:17:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 08:17:36 - mmengine - INFO - Iter(train) [ 22000/640000]  base_lr: 1.9942e-04 lr: 1.9942e-05  eta: 11 days, 2:30:14  time: 1.5374  data_time: 0.0188  memory: 25684  grad_norm: 2.8446  loss: 1.8552  caption_loss_cls: 3.1883  detection_loss_cls: 0.0678  detection_loss_reg: 0.4500  semantic_segmentation_loss_cls: 0.0194  grounding_loss_reg: 4.8256  instance_segmentation_loss_cls: 0.0692  instance_segmentation_loss_reg: 0.4520  instance_segmentation_loss_poly: 1.3267
2024/01/02 08:17:36 - mmengine - INFO - Saving checkpoint at 22000 iterations
2024/01/02 08:30:48 - mmengine - INFO - Iter(train) [ 22500/640000]  base_lr: 1.9939e-04 lr: 1.9939e-05  eta: 11 days, 2:24:39  time: 1.5378  data_time: 0.0201  memory: 25684  grad_norm: 2.7917  loss: 1.8286  caption_loss_cls: 3.1534  detection_loss_cls: 0.0662  detection_loss_reg: 0.4473  semantic_segmentation_loss_cls: 0.0190  grounding_loss_reg: 4.7690  instance_segmentation_loss_cls: 0.0675  instance_segmentation_loss_reg: 0.4497  instance_segmentation_loss_poly: 1.3180
2024/01/02 08:43:01 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 08:43:01 - mmengine - INFO - Iter(train) [ 23000/640000]  base_lr: 1.9936e-04 lr: 1.9936e-05  eta: 11 days, 1:52:02  time: 1.5327  data_time: 0.0202  memory: 25684  grad_norm: 2.7917  loss: 1.8222  caption_loss_cls: 3.1186  detection_loss_cls: 0.0649  detection_loss_reg: 0.4456  semantic_segmentation_loss_cls: 0.0185  grounding_loss_reg: 4.7131  instance_segmentation_loss_cls: 0.0656  instance_segmentation_loss_reg: 0.4469  instance_segmentation_loss_poly: 1.3076
2024/01/02 08:55:21 - mmengine - INFO - Iter(train) [ 23500/640000]  base_lr: 1.9934e-04 lr: 1.9934e-05  eta: 11 days, 1:23:40  time: 1.5173  data_time: 0.0202  memory: 25684  grad_norm: 2.9251  loss: 1.8218  caption_loss_cls: 3.0913  detection_loss_cls: 0.0642  detection_loss_reg: 0.4450  semantic_segmentation_loss_cls: 0.0183  grounding_loss_reg: 4.6579  instance_segmentation_loss_cls: 0.0641  instance_segmentation_loss_reg: 0.4443  instance_segmentation_loss_poly: 1.2982
2024/01/02 09:07:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 09:07:53 - mmengine - INFO - Iter(train) [ 24000/640000]  base_lr: 1.9931e-04 lr: 1.9931e-05  eta: 11 days, 1:00:49  time: 1.5163  data_time: 0.0204  memory: 25684  grad_norm: 2.9329  loss: 1.8108  caption_loss_cls: 3.0670  detection_loss_cls: 0.0635  detection_loss_reg: 0.4437  semantic_segmentation_loss_cls: 0.0180  grounding_loss_reg: 4.6070  instance_segmentation_loss_cls: 0.0630  instance_segmentation_loss_reg: 0.4416  instance_segmentation_loss_poly: 1.2872
2024/01/02 09:07:53 - mmengine - INFO - Saving checkpoint at 24000 iterations
2024/01/02 09:21:03 - mmengine - INFO - Iter(train) [ 24500/640000]  base_lr: 1.9928e-04 lr: 1.9928e-05  eta: 11 days, 0:54:40  time: 1.5214  data_time: 0.0267  memory: 25684  grad_norm: 2.9643  loss: 1.7847  caption_loss_cls: 3.0378  detection_loss_cls: 0.0625  detection_loss_reg: 0.4410  semantic_segmentation_loss_cls: 0.0178  grounding_loss_reg: 4.5605  instance_segmentation_loss_cls: 0.0621  instance_segmentation_loss_reg: 0.4382  instance_segmentation_loss_poly: 1.2769
2024/01/02 09:34:08 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 09:34:08 - mmengine - INFO - Iter(train) [ 25000/640000]  base_lr: 1.9925e-04 lr: 1.9925e-05  eta: 11 days, 0:45:50  time: 1.5334  data_time: 0.0268  memory: 25684  grad_norm: 2.9549  loss: 1.7558  caption_loss_cls: 3.0108  detection_loss_cls: 0.0616  detection_loss_reg: 0.4396  semantic_segmentation_loss_cls: 0.0176  grounding_loss_reg: 4.5215  instance_segmentation_loss_cls: 0.0610  instance_segmentation_loss_reg: 0.4354  instance_segmentation_loss_poly: 1.2650
2024/01/02 09:46:21 - mmengine - INFO - Iter(train) [ 25500/640000]  base_lr: 1.9922e-04 lr: 1.9922e-05  eta: 11 days, 0:16:09  time: 1.5260  data_time: 0.0269  memory: 25684  grad_norm: 3.0117  loss: 1.7755  caption_loss_cls: 2.9943  detection_loss_cls: 0.0607  detection_loss_reg: 0.4374  semantic_segmentation_loss_cls: 0.0176  grounding_loss_reg: 4.4772  instance_segmentation_loss_cls: 0.0606  instance_segmentation_loss_reg: 0.4369  instance_segmentation_loss_poly: 1.2658
2024/01/02 09:58:24 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 09:58:24 - mmengine - INFO - Iter(train) [ 26000/640000]  base_lr: 1.9919e-04 lr: 1.9919e-05  eta: 10 days, 23:42:49  time: 1.5119  data_time: 0.0267  memory: 25684  grad_norm: 3.0935  loss: 1.7891  caption_loss_cls: 2.9728  detection_loss_cls: 0.0600  detection_loss_reg: 0.4337  semantic_segmentation_loss_cls: 0.0174  grounding_loss_reg: 4.4337  instance_segmentation_loss_cls: 0.0599  instance_segmentation_loss_reg: 0.4361  instance_segmentation_loss_poly: 1.2602
2024/01/02 09:58:24 - mmengine - INFO - Saving checkpoint at 26000 iterations
2024/01/02 10:11:05 - mmengine - INFO - Iter(train) [ 26500/640000]  base_lr: 1.9916e-04 lr: 1.9916e-05  eta: 10 days, 23:25:37  time: 1.5043  data_time: 0.0261  memory: 25684  grad_norm: 3.1549  loss: 1.8022  caption_loss_cls: 2.9578  detection_loss_cls: 0.0597  detection_loss_reg: 0.4350  semantic_segmentation_loss_cls: 0.0172  grounding_loss_reg: 4.3914  instance_segmentation_loss_cls: 0.0595  instance_segmentation_loss_reg: 0.4347  instance_segmentation_loss_poly: 1.2562
2024/01/02 10:23:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 10:23:53 - mmengine - INFO - Iter(train) [ 27000/640000]  base_lr: 1.9912e-04 lr: 1.9912e-05  eta: 10 days, 23:10:39  time: 1.5130  data_time: 0.0262  memory: 25684  grad_norm: 3.1466  loss: 1.7834  caption_loss_cls: 2.9470  detection_loss_cls: 0.0591  detection_loss_reg: 0.4328  semantic_segmentation_loss_cls: 0.0171  grounding_loss_reg: 4.3571  instance_segmentation_loss_cls: 0.0587  instance_segmentation_loss_reg: 0.4316  instance_segmentation_loss_poly: 1.2474
2024/01/02 10:37:13 - mmengine - INFO - Iter(train) [ 27500/640000]  base_lr: 1.9909e-04 lr: 1.9909e-05  eta: 10 days, 23:08:02  time: 1.5280  data_time: 0.0261  memory: 25684  grad_norm: 3.0784  loss: 1.7816  caption_loss_cls: 2.9258  detection_loss_cls: 0.0587  detection_loss_reg: 0.4327  semantic_segmentation_loss_cls: 0.0170  grounding_loss_reg: 4.3261  instance_segmentation_loss_cls: 0.0580  instance_segmentation_loss_reg: 0.4290  instance_segmentation_loss_poly: 1.2404
2024/01/02 10:49:58 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 10:49:58 - mmengine - INFO - Iter(train) [ 28000/640000]  base_lr: 1.9906e-04 lr: 1.9906e-05  eta: 10 days, 22:52:09  time: 1.5313  data_time: 0.0262  memory: 25684  grad_norm: 3.0647  loss: 1.7744  caption_loss_cls: 2.9113  detection_loss_cls: 0.0580  detection_loss_reg: 0.4318  semantic_segmentation_loss_cls: 0.0169  grounding_loss_reg: 4.2988  instance_segmentation_loss_cls: 0.0573  instance_segmentation_loss_reg: 0.4273  instance_segmentation_loss_poly: 1.2326
2024/01/02 10:49:58 - mmengine - INFO - Saving checkpoint at 28000 iterations
2024/01/02 11:03:24 - mmengine - INFO - Iter(train) [ 28500/640000]  base_lr: 1.9902e-04 lr: 1.9902e-05  eta: 10 days, 22:50:57  time: 1.5352  data_time: 0.0264  memory: 25684  grad_norm: 3.0814  loss: 1.7787  caption_loss_cls: 2.9009  detection_loss_cls: 0.0574  detection_loss_reg: 0.4303  semantic_segmentation_loss_cls: 0.0167  grounding_loss_reg: 4.2764  instance_segmentation_loss_cls: 0.0572  instance_segmentation_loss_reg: 0.4298  instance_segmentation_loss_poly: 1.2346
2024/01/02 11:16:01 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 11:16:01 - mmengine - INFO - Iter(train) [ 29000/640000]  base_lr: 1.9899e-04 lr: 1.9899e-05  eta: 10 days, 22:32:10  time: 1.5282  data_time: 0.0263  memory: 25684  grad_norm: 3.1369  loss: 1.7761  caption_loss_cls: 2.8862  detection_loss_cls: 0.0566  detection_loss_reg: 0.4268  semantic_segmentation_loss_cls: 0.0164  grounding_loss_reg: 4.2507  instance_segmentation_loss_cls: 0.0566  instance_segmentation_loss_reg: 0.4275  instance_segmentation_loss_poly: 1.2268
2024/01/02 11:28:42 - mmengine - INFO - Iter(train) [ 29500/640000]  base_lr: 1.9895e-04 lr: 1.9895e-05  eta: 10 days, 22:15:01  time: 1.5352  data_time: 0.0263  memory: 25684  grad_norm: 3.1037  loss: 1.7538  caption_loss_cls: 2.8778  detection_loss_cls: 0.0562  detection_loss_reg: 0.4259  semantic_segmentation_loss_cls: 0.0163  grounding_loss_reg: 4.2234  instance_segmentation_loss_cls: 0.0561  instance_segmentation_loss_reg: 0.4253  instance_segmentation_loss_poly: 1.2203
2024/01/02 11:42:10 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 11:42:10 - mmengine - INFO - Iter(train) [ 30000/640000]  base_lr: 1.9892e-04 lr: 1.9892e-05  eta: 10 days, 22:13:40  time: 1.5565  data_time: 0.0266  memory: 25684  grad_norm: 3.2057  loss: 1.7310  caption_loss_cls: 2.8630  detection_loss_cls: 0.0558  detection_loss_reg: 0.4244  semantic_segmentation_loss_cls: 0.0162  grounding_loss_reg: 4.2038  instance_segmentation_loss_cls: 0.0558  instance_segmentation_loss_reg: 0.4235  instance_segmentation_loss_poly: 1.2131
2024/01/02 11:42:10 - mmengine - INFO - Saving checkpoint at 30000 iterations
2024/01/02 11:54:58 - mmengine - INFO - Iter(train) [ 30500/640000]  base_lr: 1.9888e-04 lr: 1.9888e-05  eta: 10 days, 21:59:01  time: 1.5581  data_time: 0.0266  memory: 25684  grad_norm: 3.3371  loss: 1.7183  caption_loss_cls: 2.8455  detection_loss_cls: 0.0555  detection_loss_reg: 0.4231  semantic_segmentation_loss_cls: 0.0162  grounding_loss_reg: 4.1795  instance_segmentation_loss_cls: 0.0555  instance_segmentation_loss_reg: 0.4234  instance_segmentation_loss_poly: 1.2113
2024/01/02 12:07:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 12:07:53 - mmengine - INFO - Iter(train) [ 31000/640000]  base_lr: 1.9884e-04 lr: 1.9884e-05  eta: 10 days, 21:46:27  time: 1.5600  data_time: 0.0267  memory: 25684  grad_norm: 3.4716  loss: 1.7161  caption_loss_cls: 2.8374  detection_loss_cls: 0.0554  detection_loss_reg: 0.4236  semantic_segmentation_loss_cls: 0.0161  grounding_loss_reg: 4.1559  instance_segmentation_loss_cls: 0.0551  instance_segmentation_loss_reg: 0.4221  instance_segmentation_loss_poly: 1.2069
2024/01/02 12:20:01 - mmengine - INFO - Iter(train) [ 31500/640000]  base_lr: 1.9881e-04 lr: 1.9881e-05  eta: 10 days, 21:18:46  time: 1.5418  data_time: 0.0267  memory: 25684  grad_norm: 3.5161  loss: 1.7277  caption_loss_cls: 2.8286  detection_loss_cls: 0.0550  detection_loss_reg: 0.4223  semantic_segmentation_loss_cls: 0.0159  grounding_loss_reg: 4.1352  instance_segmentation_loss_cls: 0.0548  instance_segmentation_loss_reg: 0.4217  instance_segmentation_loss_poly: 1.2039
2024/01/02 12:33:18 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 12:33:18 - mmengine - INFO - Iter(train) [ 32000/640000]  base_lr: 1.9877e-04 lr: 1.9877e-05  eta: 10 days, 21:13:36  time: 1.5499  data_time: 0.0267  memory: 25684  grad_norm: 3.4883  loss: 1.7009  caption_loss_cls: 2.8153  detection_loss_cls: 0.0548  detection_loss_reg: 0.4200  semantic_segmentation_loss_cls: 0.0159  grounding_loss_reg: 4.1163  instance_segmentation_loss_cls: 0.0540  instance_segmentation_loss_reg: 0.4179  instance_segmentation_loss_poly: 1.1928
2024/01/02 12:33:18 - mmengine - INFO - Saving checkpoint at 32000 iterations
2024/01/02 12:46:12 - mmengine - INFO - Iter(train) [ 32500/640000]  base_lr: 1.9873e-04 lr: 1.9873e-05  eta: 10 days, 21:00:42  time: 1.5418  data_time: 0.0265  memory: 25684  grad_norm: 3.4832  loss: 1.7062  caption_loss_cls: 2.7962  detection_loss_cls: 0.0545  detection_loss_reg: 0.4193  semantic_segmentation_loss_cls: 0.0158  grounding_loss_reg: 4.0969  instance_segmentation_loss_cls: 0.0540  instance_segmentation_loss_reg: 0.4178  instance_segmentation_loss_poly: 1.1916
2024/01/02 12:58:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 12:58:45 - mmengine - INFO - Iter(train) [ 33000/640000]  base_lr: 1.9869e-04 lr: 1.9869e-05  eta: 10 days, 20:41:33  time: 1.5407  data_time: 0.0266  memory: 25684  grad_norm: 3.4334  loss: 1.7222  caption_loss_cls: 2.7875  detection_loss_cls: 0.0541  detection_loss_reg: 0.4177  semantic_segmentation_loss_cls: 0.0157  grounding_loss_reg: 4.0816  instance_segmentation_loss_cls: 0.0535  instance_segmentation_loss_reg: 0.4160  instance_segmentation_loss_poly: 1.1864
2024/01/02 13:11:24 - mmengine - INFO - Iter(train) [ 33500/640000]  base_lr: 1.9865e-04 lr: 1.9865e-05  eta: 10 days, 20:24:26  time: 1.5402  data_time: 0.0267  memory: 25684  grad_norm: 3.4067  loss: 1.7251  caption_loss_cls: 2.7899  detection_loss_cls: 0.0539  detection_loss_reg: 0.4158  semantic_segmentation_loss_cls: 0.0155  grounding_loss_reg: 4.0670  instance_segmentation_loss_cls: 0.0529  instance_segmentation_loss_reg: 0.4139  instance_segmentation_loss_poly: 1.1789
2024/01/02 13:23:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 13:23:53 - mmengine - INFO - Iter(train) [ 34000/640000]  base_lr: 1.9861e-04 lr: 1.9861e-05  eta: 10 days, 20:04:26  time: 1.5256  data_time: 0.0266  memory: 25684  grad_norm: 3.2784  loss: 1.7320  caption_loss_cls: 2.7811  detection_loss_cls: 0.0538  detection_loss_reg: 0.4151  semantic_segmentation_loss_cls: 0.0154  grounding_loss_reg: 4.0496  instance_segmentation_loss_cls: 0.0527  instance_segmentation_loss_reg: 0.4143  instance_segmentation_loss_poly: 1.1777
2024/01/02 13:23:53 - mmengine - INFO - Saving checkpoint at 34000 iterations
2024/01/02 13:36:46 - mmengine - INFO - Iter(train) [ 34500/640000]  base_lr: 1.9857e-04 lr: 1.9857e-05  eta: 10 days, 19:51:50  time: 1.5269  data_time: 0.0265  memory: 25684  grad_norm: 3.1385  loss: 1.7302  caption_loss_cls: 2.7731  detection_loss_cls: 0.0532  detection_loss_reg: 0.4124  semantic_segmentation_loss_cls: 0.0154  grounding_loss_reg: 4.0257  instance_segmentation_loss_cls: 0.0525  instance_segmentation_loss_reg: 0.4134  instance_segmentation_loss_poly: 1.1749
2024/01/02 13:49:16 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 13:49:16 - mmengine - INFO - Iter(train) [ 35000/640000]  base_lr: 1.9853e-04 lr: 1.9853e-05  eta: 10 days, 19:32:31  time: 1.5207  data_time: 0.0264  memory: 25684  grad_norm: 3.0161  loss: 1.7235  caption_loss_cls: 2.7736  detection_loss_cls: 0.0530  detection_loss_reg: 0.4121  semantic_segmentation_loss_cls: 0.0153  grounding_loss_reg: 4.0079  instance_segmentation_loss_cls: 0.0521  instance_segmentation_loss_reg: 0.4112  instance_segmentation_loss_poly: 1.1707
2024/01/02 14:01:54 - mmengine - INFO - Iter(train) [ 35500/640000]  base_lr: 1.9849e-04 lr: 1.9849e-05  eta: 10 days, 19:15:36  time: 1.5283  data_time: 0.0265  memory: 25684  grad_norm: 2.9516  loss: 1.6997  caption_loss_cls: 2.7652  detection_loss_cls: 0.0526  detection_loss_reg: 0.4121  semantic_segmentation_loss_cls: 0.0152  grounding_loss_reg: 3.9912  instance_segmentation_loss_cls: 0.0521  instance_segmentation_loss_reg: 0.4117  instance_segmentation_loss_poly: 1.1714
2024/01/02 14:14:27 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 14:14:27 - mmengine - INFO - Iter(train) [ 36000/640000]  base_lr: 1.9844e-04 lr: 1.9844e-05  eta: 10 days, 18:57:17  time: 1.5170  data_time: 0.0265  memory: 25684  grad_norm: 2.9732  loss: 1.7217  caption_loss_cls: 2.7567  detection_loss_cls: 0.0523  detection_loss_reg: 0.4095  semantic_segmentation_loss_cls: 0.0152  grounding_loss_reg: 3.9722  instance_segmentation_loss_cls: 0.0523  instance_segmentation_loss_reg: 0.4145  instance_segmentation_loss_poly: 1.1776
2024/01/02 14:14:27 - mmengine - INFO - Saving checkpoint at 36000 iterations
2024/01/02 14:27:36 - mmengine - INFO - Iter(train) [ 36500/640000]  base_lr: 1.9840e-04 lr: 1.9840e-05  eta: 10 days, 18:49:12  time: 1.5210  data_time: 0.0266  memory: 25684  grad_norm: 2.9517  loss: 1.7134  caption_loss_cls: 2.7545  detection_loss_cls: 0.0520  detection_loss_reg: 0.4053  semantic_segmentation_loss_cls: 0.0152  grounding_loss_reg: 3.9562  instance_segmentation_loss_cls: 0.0517  instance_segmentation_loss_reg: 0.4091  instance_segmentation_loss_poly: 1.1656
2024/01/02 14:40:34 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 14:40:34 - mmengine - INFO - Iter(train) [ 37000/640000]  base_lr: 1.9836e-04 lr: 1.9836e-05  eta: 10 days, 18:38:05  time: 1.5273  data_time: 0.0266  memory: 25684  grad_norm: 2.9346  loss: 1.6926  caption_loss_cls: 2.7512  detection_loss_cls: 0.0516  detection_loss_reg: 0.4031  semantic_segmentation_loss_cls: 0.0151  grounding_loss_reg: 3.9427  instance_segmentation_loss_cls: 0.0514  instance_segmentation_loss_reg: 0.4080  instance_segmentation_loss_poly: 1.1599
2024/01/02 14:53:03 - mmengine - INFO - Iter(train) [ 37500/640000]  base_lr: 1.9831e-04 lr: 1.9831e-05  eta: 10 days, 18:19:01  time: 1.5248  data_time: 0.0266  memory: 25684  grad_norm: 2.9413  loss: 1.6903  caption_loss_cls: 2.7439  detection_loss_cls: 0.0513  detection_loss_reg: 0.4023  semantic_segmentation_loss_cls: 0.0151  grounding_loss_reg: 3.9312  instance_segmentation_loss_cls: 0.0514  instance_segmentation_loss_reg: 0.4091  instance_segmentation_loss_poly: 1.1617
2024/01/02 15:05:26 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 15:05:26 - mmengine - INFO - Iter(train) [ 38000/640000]  base_lr: 1.9827e-04 lr: 1.9827e-05  eta: 10 days, 17:58:22  time: 1.5232  data_time: 0.0264  memory: 25684  grad_norm: 2.9234  loss: 1.6810  caption_loss_cls: 2.7404  detection_loss_cls: 0.0509  detection_loss_reg: 0.4007  semantic_segmentation_loss_cls: 0.0150  grounding_loss_reg: 3.9205  instance_segmentation_loss_cls: 0.0514  instance_segmentation_loss_reg: 0.4093  instance_segmentation_loss_poly: 1.1604
2024/01/02 15:05:26 - mmengine - INFO - Saving checkpoint at 38000 iterations
2024/01/02 15:18:49 - mmengine - INFO - Iter(train) [ 38500/640000]  base_lr: 1.9822e-04 lr: 1.9822e-05  eta: 10 days, 17:53:55  time: 1.5307  data_time: 0.0266  memory: 25684  grad_norm: 2.8902  loss: 1.6686  caption_loss_cls: 2.7313  detection_loss_cls: 0.0508  detection_loss_reg: 0.4005  semantic_segmentation_loss_cls: 0.0150  grounding_loss_reg: 3.9047  instance_segmentation_loss_cls: 0.0510  instance_segmentation_loss_reg: 0.4077  instance_segmentation_loss_poly: 1.1553
2024/01/02 15:31:05 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 15:31:05 - mmengine - INFO - Iter(train) [ 39000/640000]  base_lr: 1.9817e-04 lr: 1.9817e-05  eta: 10 days, 17:31:49  time: 1.5271  data_time: 0.0266  memory: 25684  grad_norm: 2.8814  loss: 1.6811  caption_loss_cls: 2.7221  detection_loss_cls: 0.0504  detection_loss_reg: 0.3987  semantic_segmentation_loss_cls: 0.0149  grounding_loss_reg: 3.8896  instance_segmentation_loss_cls: 0.0508  instance_segmentation_loss_reg: 0.4062  instance_segmentation_loss_poly: 1.1520
2024/01/02 15:43:56 - mmengine - INFO - Iter(train) [ 39500/640000]  base_lr: 1.9813e-04 lr: 1.9813e-05  eta: 10 days, 17:18:55  time: 1.5304  data_time: 0.0266  memory: 25684  grad_norm: 2.8458  loss: 1.6726  caption_loss_cls: 2.7168  detection_loss_cls: 0.0502  detection_loss_reg: 0.3998  semantic_segmentation_loss_cls: 0.0149  grounding_loss_reg: 3.8742  instance_segmentation_loss_cls: 0.0508  instance_segmentation_loss_reg: 0.4063  instance_segmentation_loss_poly: 1.1492
2024/01/02 15:56:43 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 15:56:43 - mmengine - INFO - Iter(train) [ 40000/640000]  base_lr: 1.9808e-04 lr: 1.9808e-05  eta: 10 days, 17:04:54  time: 1.5339  data_time: 0.0266  memory: 25684  grad_norm: 2.8333  loss: 1.6668  caption_loss_cls: 2.7112  detection_loss_cls: 0.0500  detection_loss_reg: 0.3997  semantic_segmentation_loss_cls: 0.0149  grounding_loss_reg: 3.8628  instance_segmentation_loss_cls: 0.0510  instance_segmentation_loss_reg: 0.4061  instance_segmentation_loss_poly: 1.1478
2024/01/02 15:56:43 - mmengine - INFO - Saving checkpoint at 40000 iterations
2024/01/02 16:08:23 - mmengine - INFO - Evaluating bbox...
2024/01/02 16:09:19 - mmengine - INFO - bbox_mAP_copypaste: 0.394 0.577 0.437 0.267 0.452 0.493
2024/01/02 16:09:19 - mmengine - INFO - Evaluating segm...
2024/01/02 16:10:30 - mmengine - INFO - segm_mAP_copypaste: 0.231 0.447 0.217 0.108 0.281 0.368
2024/01/02 16:12:39 - mmengine - INFO - Evaluating bbox...
2024/01/02 16:13:36 - mmengine - INFO - bbox_mAP_copypaste: 0.394 0.577 0.437 0.267 0.451 0.492
2024/01/02 16:19:13 - mmengine - INFO - per class results:
2024/01/02 16:19:13 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 76.57 |  88.3 |
|       building      | 80.47 | 90.85 |
|         sky         | 92.45 |  95.3 |
|        floor        | 79.99 | 88.23 |
|         tree        | 70.28 | 90.53 |
|       ceiling       | 83.81 | 91.73 |
|         road        | 79.22 | 88.69 |
|         bed         |  86.4 | 94.11 |
|      windowpane     | 62.48 | 79.71 |
|        grass        | 61.17 |  68.1 |
|       cabinet       | 58.01 | 73.32 |
|       sidewalk      | 59.29 | 74.08 |
|        person       | 78.64 | 88.37 |
|        earth        | 39.68 |  54.5 |
|         door        | 46.05 | 56.25 |
|        table        |  56.1 | 79.76 |
|       mountain      | 50.74 | 57.37 |
|        plant        | 43.31 |  49.0 |
|       curtain       | 71.45 | 86.17 |
|        chair        | 51.13 | 63.34 |
|         car         |  79.9 |  92.4 |
|        water        | 58.73 | 77.11 |
|       painting      | 70.12 | 83.15 |
|         sofa        | 64.57 | 85.41 |
|        shelf        | 38.02 | 51.86 |
|        house        | 45.96 | 63.27 |
|         sea         | 68.12 | 90.25 |
|        mirror       | 63.56 | 71.01 |
|         rug         | 63.75 | 68.95 |
|        field        | 29.96 | 64.76 |
|       armchair      |  36.1 | 47.49 |
|         seat        | 63.76 | 80.35 |
|        fence        | 35.59 | 75.45 |
|         desk        | 36.65 |  58.9 |
|         rock        | 37.67 | 84.83 |
|       wardrobe      | 38.79 | 43.76 |
|         lamp        | 56.87 | 72.16 |
|       bathtub       | 61.75 | 87.78 |
|       railing       |  27.5 | 38.45 |
|       cushion       |  51.9 | 59.72 |
|         base        | 25.43 | 35.62 |
|         box         |  26.0 | 41.17 |
|        column       | 49.87 | 66.21 |
|      signboard      | 30.42 | 38.57 |
|   chest of drawers  | 33.94 | 67.81 |
|       counter       | 27.73 | 41.83 |
|         sand        | 37.65 |  50.3 |
|         sink        | 63.43 | 73.82 |
|      skyscraper     |  49.5 |  60.5 |
|      fireplace      |  67.5 | 84.04 |
|     refrigerator    |  66.7 | 77.98 |
|      grandstand     | 49.25 |  53.0 |
|         path        | 18.68 | 23.26 |
|        stairs       | 33.67 |  50.3 |
|        runway       | 73.11 |  80.3 |
|         case        | 40.15 | 66.25 |
|      pool table     |  87.6 | 95.29 |
|        pillow       | 50.19 | 62.31 |
|     screen door     | 67.21 | 84.12 |
|       stairway      | 38.49 | 55.07 |
|        river        | 18.53 | 24.23 |
|        bridge       | 54.72 | 89.77 |
|       bookcase      | 27.62 | 44.42 |
|        blind        | 34.58 | 36.52 |
|     coffee table    | 41.82 |  46.7 |
|        toilet       | 74.77 | 86.12 |
|        flower       | 29.79 | 35.29 |
|         book        | 41.22 | 59.07 |
|         hill        |  1.09 |  1.11 |
|        bench        |  44.1 | 61.76 |
|      countertop     | 52.99 | 70.18 |
|        stove        | 69.86 | 76.28 |
|         palm        | 42.02 | 57.85 |
|    kitchen island   | 29.07 | 47.08 |
|       computer      | 55.64 |  61.3 |
|     swivel chair    | 33.66 | 70.67 |
|         boat        | 55.11 | 87.73 |
|         bar         | 33.26 | 45.56 |
|    arcade machine   | 61.74 | 66.77 |
|        hovel        | 51.22 | 67.29 |
|         bus         | 88.41 | 92.42 |
|        towel        | 52.41 | 58.17 |
|        light        | 38.97 |  45.5 |
|        truck        | 38.33 | 57.69 |
|        tower        |  2.45 |  2.82 |
|      chandelier     | 59.11 | 71.12 |
|        awning       | 26.89 | 34.74 |
|     streetlight     | 21.85 | 46.76 |
|        booth        | 33.63 | 36.55 |
| television receiver | 59.02 | 73.76 |
|       airplane      | 59.83 | 71.61 |
|      dirt track     |  9.8  | 18.18 |
|       apparel       | 24.14 | 42.94 |
|         pole        | 18.94 | 29.02 |
|         land        |  0.69 |  1.11 |
|      bannister      |  8.33 | 26.91 |
|      escalator      | 22.78 | 29.81 |
|       ottoman       | 42.42 | 53.11 |
|        bottle       | 22.86 | 29.73 |
|        buffet       | 34.96 | 42.85 |
|        poster       | 23.68 | 24.96 |
|        stage        |  6.85 | 16.02 |
|         van         | 26.87 | 29.11 |
|         ship        |  3.1  |  3.16 |
|       fountain      | 24.64 | 29.38 |
|    conveyer belt    | 59.36 | 89.96 |
|        canopy       | 44.55 | 54.74 |
|        washer       | 61.62 | 73.71 |
|      plaything      | 23.24 | 34.52 |
|    swimming pool    | 41.65 | 43.81 |
|        stool        | 25.51 | 28.34 |
|        barrel       | 38.43 | 52.57 |
|        basket       | 26.87 | 34.45 |
|      waterfall      | 56.33 | 79.18 |
|         tent        | 87.07 | 98.07 |
|         bag         | 15.97 | 17.11 |
|       minibike      | 71.28 |  81.2 |
|        cradle       | 77.39 | 94.69 |
|         oven        | 22.19 | 56.65 |
|         ball        | 48.95 | 72.44 |
|         food        | 52.29 | 64.05 |
|         step        |  6.01 |  6.43 |
|         tank        | 39.73 | 49.09 |
|      trade name     |  3.34 |  3.38 |
|      microwave      | 44.18 | 48.54 |
|         pot         | 43.81 | 57.57 |
|        animal       | 61.76 | 67.76 |
|       bicycle       | 50.36 | 72.04 |
|         lake        |  1.15 |  1.46 |
|      dishwasher     |  49.4 |  63.4 |
|        screen       | 62.58 | 69.73 |
|       blanket       | 20.11 | 27.57 |
|      sculpture      | 40.12 | 76.76 |
|         hood        | 57.65 | 63.68 |
|        sconce       |  29.2 | 46.29 |
|         vase        | 31.24 | 44.65 |
|    traffic light    | 26.34 | 39.36 |
|         tray        |  5.11 |  9.46 |
|        ashcan       | 32.43 | 49.42 |
|         fan         | 47.08 | 54.61 |
|         pier        | 28.57 | 40.58 |
|      crt screen     |  2.05 |  6.86 |
|        plate        | 42.45 | 54.24 |
|       monitor       |  48.4 | 56.98 |
|    bulletin board   | 32.25 | 37.21 |
|        shower       |  0.0  |  0.0  |
|       radiator      | 37.11 | 74.27 |
|        glass        | 11.14 | 12.27 |
|        clock        | 18.78 | 22.13 |
|         flag        | 29.61 | 32.18 |
+---------------------+-------+-------+
2024/01/02 16:19:26 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.3940  coco/bbox_mAP_50: 0.5770  coco/bbox_mAP_75: 0.4370  coco/bbox_mAP_s: 0.2670  coco/bbox_mAP_m: 0.4510  coco/bbox_mAP_l: 0.4920  coco/segm_mAP: 0.2310  coco/segm_mAP_50: 0.4470  coco/segm_mAP_75: 0.2170  coco/segm_mAP_s: 0.1080  coco/segm_mAP_m: 0.2810  coco/segm_mAP_l: 0.3680  Bleu_1: 0.6881  Bleu_2: 0.5112  Bleu_3: 0.3654  Bleu_4: 0.2571  METEOR: 0.2357  ROUGE_L: 0.5068  CIDEr: 0.8330  SPICE: 0.1697  aAcc: 81.0700  mIoU: 43.6800  mAcc: 56.1900  visual-grounding/miou: 0.6080  visual-grounding/acc: 0.6657  data_time: 0.0121  time: 1.9114
2024/01/02 16:31:49 - mmengine - INFO - Iter(train) [ 40500/640000]  base_lr: 1.9803e-04 lr: 1.9803e-05  eta: 10 days, 16:45:51  time: 1.5232  data_time: 0.0204  memory: 34774  grad_norm: 2.8424  loss: 1.6694  caption_loss_cls: 2.7083  detection_loss_cls: 0.0500  detection_loss_reg: 0.3994  semantic_segmentation_loss_cls: 0.0146  grounding_loss_reg: 3.8458  instance_segmentation_loss_cls: 0.0507  instance_segmentation_loss_reg: 0.4038  instance_segmentation_loss_poly: 1.1404
2024/01/02 16:44:14 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 16:44:14 - mmengine - INFO - Iter(train) [ 41000/640000]  base_lr: 1.9798e-04 lr: 1.9798e-05  eta: 10 days, 16:26:40  time: 1.5149  data_time: 0.0203  memory: 25682  grad_norm: 2.8608  loss: 1.6718  caption_loss_cls: 2.7040  detection_loss_cls: 0.0498  detection_loss_reg: 0.3988  semantic_segmentation_loss_cls: 0.0146  grounding_loss_reg: 3.8299  instance_segmentation_loss_cls: 0.0507  instance_segmentation_loss_reg: 0.4027  instance_segmentation_loss_poly: 1.1392
2024/01/02 16:56:42 - mmengine - INFO - Iter(train) [ 41500/640000]  base_lr: 1.9793e-04 lr: 1.9793e-05  eta: 10 days, 16:08:22  time: 1.5146  data_time: 0.0202  memory: 25682  grad_norm: 2.8760  loss: 1.6566  caption_loss_cls: 2.6998  detection_loss_cls: 0.0498  detection_loss_reg: 0.3987  semantic_segmentation_loss_cls: 0.0146  grounding_loss_reg: 3.8172  instance_segmentation_loss_cls: 0.0505  instance_segmentation_loss_reg: 0.4018  instance_segmentation_loss_poly: 1.1362
2024/01/02 17:09:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 17:09:03 - mmengine - INFO - Iter(train) [ 42000/640000]  base_lr: 1.9788e-04 lr: 1.9788e-05  eta: 10 days, 15:48:43  time: 1.5144  data_time: 0.0203  memory: 25682  grad_norm: 2.8684  loss: 1.6686  caption_loss_cls: 2.6992  detection_loss_cls: 0.0495  detection_loss_reg: 0.3950  semantic_segmentation_loss_cls: 0.0145  grounding_loss_reg: 3.8086  instance_segmentation_loss_cls: 0.0504  instance_segmentation_loss_reg: 0.4017  instance_segmentation_loss_poly: 1.1339
2024/01/02 17:09:03 - mmengine - INFO - Saving checkpoint at 42000 iterations
2024/01/02 17:22:14 - mmengine - INFO - Iter(train) [ 42500/640000]  base_lr: 1.9783e-04 lr: 1.9783e-05  eta: 10 days, 15:40:40  time: 1.5112  data_time: 0.0204  memory: 25682  grad_norm: 2.8788  loss: 1.6769  caption_loss_cls: 2.6962  detection_loss_cls: 0.0492  detection_loss_reg: 0.3934  semantic_segmentation_loss_cls: 0.0144  grounding_loss_reg: 3.7946  instance_segmentation_loss_cls: 0.0503  instance_segmentation_loss_reg: 0.4015  instance_segmentation_loss_poly: 1.1334
2024/01/02 17:35:01 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 17:35:01 - mmengine - INFO - Iter(train) [ 43000/640000]  base_lr: 1.9778e-04 lr: 1.9778e-05  eta: 10 days, 15:27:11  time: 1.5191  data_time: 0.0205  memory: 25682  grad_norm: 2.9036  loss: 1.6743  caption_loss_cls: 2.6928  detection_loss_cls: 0.0487  detection_loss_reg: 0.3906  semantic_segmentation_loss_cls: 0.0144  grounding_loss_reg: 3.7830  instance_segmentation_loss_cls: 0.0499  instance_segmentation_loss_reg: 0.3996  instance_segmentation_loss_poly: 1.1298
2024/01/02 17:47:47 - mmengine - INFO - Iter(train) [ 43500/640000]  base_lr: 1.9773e-04 lr: 1.9773e-05  eta: 10 days, 15:13:20  time: 1.5177  data_time: 0.0204  memory: 25682  grad_norm: 2.9076  loss: 1.6737  caption_loss_cls: 2.6956  detection_loss_cls: 0.0487  detection_loss_reg: 0.3931  semantic_segmentation_loss_cls: 0.0143  grounding_loss_reg: 3.7769  instance_segmentation_loss_cls: 0.0500  instance_segmentation_loss_reg: 0.3993  instance_segmentation_loss_poly: 1.1271
2024/01/02 18:00:41 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 18:00:41 - mmengine - INFO - Iter(train) [ 44000/640000]  base_lr: 1.9768e-04 lr: 1.9768e-05  eta: 10 days, 15:01:20  time: 1.5195  data_time: 0.0204  memory: 25682  grad_norm: 2.9195  loss: 1.6702  caption_loss_cls: 2.7015  detection_loss_cls: 0.0484  detection_loss_reg: 0.3910  semantic_segmentation_loss_cls: 0.0142  grounding_loss_reg: 3.7703  instance_segmentation_loss_cls: 0.0500  instance_segmentation_loss_reg: 0.4003  instance_segmentation_loss_poly: 1.1289
2024/01/02 18:00:41 - mmengine - INFO - Saving checkpoint at 44000 iterations
2024/01/02 18:13:59 - mmengine - INFO - Iter(train) [ 44500/640000]  base_lr: 1.9762e-04 lr: 1.9762e-05  eta: 10 days, 14:54:39  time: 1.5324  data_time: 0.0266  memory: 25682  grad_norm: 2.9446  loss: 1.6543  caption_loss_cls: 2.7008  detection_loss_cls: 0.0483  detection_loss_reg: 0.3914  semantic_segmentation_loss_cls: 0.0142  grounding_loss_reg: 3.7663  instance_segmentation_loss_cls: 0.0501  instance_segmentation_loss_reg: 0.4002  instance_segmentation_loss_poly: 1.1279
2024/01/02 18:26:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 18:26:36 - mmengine - INFO - Iter(train) [ 45000/640000]  base_lr: 1.9757e-04 lr: 1.9757e-05  eta: 10 days, 14:38:46  time: 1.5354  data_time: 0.0266  memory: 25682  grad_norm: 2.9758  loss: 1.6637  caption_loss_cls: 2.6976  detection_loss_cls: 0.0484  detection_loss_reg: 0.3923  semantic_segmentation_loss_cls: 0.0142  grounding_loss_reg: 3.7561  instance_segmentation_loss_cls: 0.0503  instance_segmentation_loss_reg: 0.4005  instance_segmentation_loss_poly: 1.1273
2024/01/02 18:39:36 - mmengine - INFO - Iter(train) [ 45500/640000]  base_lr: 1.9752e-04 lr: 1.9752e-05  eta: 10 days, 14:28:04  time: 1.5435  data_time: 0.0268  memory: 25682  grad_norm: 2.9615  loss: 1.6654  caption_loss_cls: 2.6944  detection_loss_cls: 0.0482  detection_loss_reg: 0.3908  semantic_segmentation_loss_cls: 0.0140  grounding_loss_reg: 3.7445  instance_segmentation_loss_cls: 0.0502  instance_segmentation_loss_reg: 0.3995  instance_segmentation_loss_poly: 1.1242
2024/01/02 18:52:09 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 18:52:09 - mmengine - INFO - Iter(train) [ 46000/640000]  base_lr: 1.9746e-04 lr: 1.9746e-05  eta: 10 days, 14:11:22  time: 1.5462  data_time: 0.0268  memory: 25682  grad_norm: 2.9676  loss: 1.6462  caption_loss_cls: 2.6927  detection_loss_cls: 0.0482  detection_loss_reg: 0.3900  semantic_segmentation_loss_cls: 0.0140  grounding_loss_reg: 3.7341  instance_segmentation_loss_cls: 0.0501  instance_segmentation_loss_reg: 0.3984  instance_segmentation_loss_poly: 1.1220
2024/01/02 18:52:09 - mmengine - INFO - Saving checkpoint at 46000 iterations
2024/01/02 19:05:29 - mmengine - INFO - Iter(train) [ 46500/640000]  base_lr: 1.9741e-04 lr: 1.9741e-05  eta: 10 days, 14:05:02  time: 1.5488  data_time: 0.0266  memory: 25682  grad_norm: 2.9264  loss: 1.6333  caption_loss_cls: 2.6948  detection_loss_cls: 0.0481  detection_loss_reg: 0.3917  semantic_segmentation_loss_cls: 0.0139  grounding_loss_reg: 3.7222  instance_segmentation_loss_cls: 0.0500  instance_segmentation_loss_reg: 0.3968  instance_segmentation_loss_poly: 1.1172
2024/01/02 19:18:18 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 19:18:18 - mmengine - INFO - Iter(train) [ 47000/640000]  base_lr: 1.9735e-04 lr: 1.9735e-05  eta: 10 days, 13:51:40  time: 1.5490  data_time: 0.0266  memory: 25682  grad_norm: 2.8671  loss: 1.6203  caption_loss_cls: 2.6913  detection_loss_cls: 0.0483  detection_loss_reg: 0.3939  semantic_segmentation_loss_cls: 0.0138  grounding_loss_reg: 3.7100  instance_segmentation_loss_cls: 0.0501  instance_segmentation_loss_reg: 0.3991  instance_segmentation_loss_poly: 1.1201
2024/01/02 19:30:56 - mmengine - INFO - Iter(train) [ 47500/640000]  base_lr: 1.9729e-04 lr: 1.9729e-05  eta: 10 days, 13:36:14  time: 1.5470  data_time: 0.0267  memory: 25682  grad_norm: 2.8887  loss: 1.6353  caption_loss_cls: 2.6950  detection_loss_cls: 0.0485  detection_loss_reg: 0.3949  semantic_segmentation_loss_cls: 0.0138  grounding_loss_reg: 3.6962  instance_segmentation_loss_cls: 0.0502  instance_segmentation_loss_reg: 0.3999  instance_segmentation_loss_poly: 1.1229
2024/01/02 19:44:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 19:44:11 - mmengine - INFO - Iter(train) [ 48000/640000]  base_lr: 1.9724e-04 lr: 1.9724e-05  eta: 10 days, 13:28:27  time: 1.5523  data_time: 0.0268  memory: 25682  grad_norm: 2.8689  loss: 1.6395  caption_loss_cls: 2.6906  detection_loss_cls: 0.0482  detection_loss_reg: 0.3916  semantic_segmentation_loss_cls: 0.0137  grounding_loss_reg: 3.6876  instance_segmentation_loss_cls: 0.0503  instance_segmentation_loss_reg: 0.4011  instance_segmentation_loss_poly: 1.1239
2024/01/02 19:44:11 - mmengine - INFO - Saving checkpoint at 48000 iterations
2024/01/02 19:57:25 - mmengine - INFO - Iter(train) [ 48500/640000]  base_lr: 1.9718e-04 lr: 1.9718e-05  eta: 10 days, 13:20:21  time: 1.5514  data_time: 0.0268  memory: 25682  grad_norm: 2.8386  loss: 1.6605  caption_loss_cls: 2.6986  detection_loss_cls: 0.0481  detection_loss_reg: 0.3902  semantic_segmentation_loss_cls: 0.0137  grounding_loss_reg: 3.6752  instance_segmentation_loss_cls: 0.0502  instance_segmentation_loss_reg: 0.4003  instance_segmentation_loss_poly: 1.1210
2024/01/02 20:10:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 20:10:31 - mmengine - INFO - Iter(train) [ 49000/640000]  base_lr: 1.9712e-04 lr: 1.9712e-05  eta: 10 days, 13:10:37  time: 1.5588  data_time: 0.0268  memory: 25682  grad_norm: 2.7675  loss: 1.6346  caption_loss_cls: 2.7005  detection_loss_cls: 0.0481  detection_loss_reg: 0.3902  semantic_segmentation_loss_cls: 0.0137  grounding_loss_reg: 3.6695  instance_segmentation_loss_cls: 0.0501  instance_segmentation_loss_reg: 0.3998  instance_segmentation_loss_poly: 1.1186
2024/01/02 20:23:27 - mmengine - INFO - Iter(train) [ 49500/640000]  base_lr: 1.9706e-04 lr: 1.9706e-05  eta: 10 days, 12:58:34  time: 1.5576  data_time: 0.0266  memory: 25682  grad_norm: 2.7352  loss: 1.6120  caption_loss_cls: 2.6968  detection_loss_cls: 0.0482  detection_loss_reg: 0.3912  semantic_segmentation_loss_cls: 0.0137  grounding_loss_reg: 3.6606  instance_segmentation_loss_cls: 0.0499  instance_segmentation_loss_reg: 0.3989  instance_segmentation_loss_poly: 1.1187
2024/01/02 20:36:24 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 20:36:24 - mmengine - INFO - Iter(train) [ 50000/640000]  base_lr: 1.9700e-04 lr: 1.9700e-05  eta: 10 days, 12:46:55  time: 1.5637  data_time: 0.0268  memory: 25682  grad_norm: 2.7663  loss: 1.6113  caption_loss_cls: 2.6923  detection_loss_cls: 0.0480  detection_loss_reg: 0.3895  semantic_segmentation_loss_cls: 0.0137  grounding_loss_reg: 3.6490  instance_segmentation_loss_cls: 0.0500  instance_segmentation_loss_reg: 0.4008  instance_segmentation_loss_poly: 1.1227
2024/01/02 20:36:24 - mmengine - INFO - Saving checkpoint at 50000 iterations
2024/01/02 20:49:44 - mmengine - INFO - Iter(train) [ 50500/640000]  base_lr: 1.9694e-04 lr: 1.9694e-05  eta: 10 days, 12:39:42  time: 1.5636  data_time: 0.0268  memory: 25682  grad_norm: 2.7800  loss: 1.6181  caption_loss_cls: 2.6987  detection_loss_cls: 0.0480  detection_loss_reg: 0.3895  semantic_segmentation_loss_cls: 0.0136  grounding_loss_reg: 3.6428  instance_segmentation_loss_cls: 0.0499  instance_segmentation_loss_reg: 0.4001  instance_segmentation_loss_poly: 1.1204
2024/01/02 21:01:57 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 21:01:57 - mmengine - INFO - Iter(train) [ 51000/640000]  base_lr: 1.9688e-04 lr: 1.9688e-05  eta: 10 days, 12:19:19  time: 1.5546  data_time: 0.0268  memory: 25682  grad_norm: 2.8429  loss: 1.6179  caption_loss_cls: 2.6860  detection_loss_cls: 0.0476  detection_loss_reg: 0.3869  semantic_segmentation_loss_cls: 0.0135  grounding_loss_reg: 3.6321  instance_segmentation_loss_cls: 0.0499  instance_segmentation_loss_reg: 0.4009  instance_segmentation_loss_poly: 1.1202
2024/01/02 21:14:40 - mmengine - INFO - Iter(train) [ 51500/640000]  base_lr: 1.9682e-04 lr: 1.9682e-05  eta: 10 days, 12:04:54  time: 1.5558  data_time: 0.0268  memory: 25682  grad_norm: 2.8464  loss: 1.6030  caption_loss_cls: 2.6805  detection_loss_cls: 0.0473  detection_loss_reg: 0.3850  semantic_segmentation_loss_cls: 0.0135  grounding_loss_reg: 3.6325  instance_segmentation_loss_cls: 0.0497  instance_segmentation_loss_reg: 0.4005  instance_segmentation_loss_poly: 1.1165
2024/01/02 21:27:24 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 21:27:24 - mmengine - INFO - Iter(train) [ 52000/640000]  base_lr: 1.9676e-04 lr: 1.9676e-05  eta: 10 days, 11:50:53  time: 1.5483  data_time: 0.0266  memory: 25682  grad_norm: 2.8567  loss: 1.5927  caption_loss_cls: 2.6778  detection_loss_cls: 0.0471  detection_loss_reg: 0.3848  semantic_segmentation_loss_cls: 0.0135  grounding_loss_reg: 3.6225  instance_segmentation_loss_cls: 0.0496  instance_segmentation_loss_reg: 0.4009  instance_segmentation_loss_poly: 1.1175
2024/01/02 21:27:25 - mmengine - INFO - Saving checkpoint at 52000 iterations
2024/01/02 21:40:16 - mmengine - INFO - Iter(train) [ 52500/640000]  base_lr: 1.9670e-04 lr: 1.9670e-05  eta: 10 days, 11:38:05  time: 1.5426  data_time: 0.0266  memory: 25682  grad_norm: 2.8431  loss: 1.5722  caption_loss_cls: 2.6750  detection_loss_cls: 0.0471  detection_loss_reg: 0.3858  semantic_segmentation_loss_cls: 0.0135  grounding_loss_reg: 3.6143  instance_segmentation_loss_cls: 0.0493  instance_segmentation_loss_reg: 0.3995  instance_segmentation_loss_poly: 1.1137
2024/01/02 21:53:15 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 21:53:15 - mmengine - INFO - Iter(train) [ 53000/640000]  base_lr: 1.9663e-04 lr: 1.9663e-05  eta: 10 days, 11:26:44  time: 1.5407  data_time: 0.0266  memory: 25682  grad_norm: 2.8564  loss: 1.5810  caption_loss_cls: 2.6718  detection_loss_cls: 0.0471  detection_loss_reg: 0.3861  semantic_segmentation_loss_cls: 0.0134  grounding_loss_reg: 3.6037  instance_segmentation_loss_cls: 0.0492  instance_segmentation_loss_reg: 0.3986  instance_segmentation_loss_poly: 1.1113
2024/01/02 22:05:53 - mmengine - INFO - Iter(train) [ 53500/640000]  base_lr: 1.9657e-04 lr: 1.9657e-05  eta: 10 days, 11:11:29  time: 1.5364  data_time: 0.0267  memory: 25682  grad_norm: 2.8751  loss: 1.5963  caption_loss_cls: 2.6657  detection_loss_cls: 0.0467  detection_loss_reg: 0.3839  semantic_segmentation_loss_cls: 0.0134  grounding_loss_reg: 3.5957  instance_segmentation_loss_cls: 0.0488  instance_segmentation_loss_reg: 0.3965  instance_segmentation_loss_poly: 1.1062
2024/01/02 22:18:41 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240101_222309
2024/01/02 22:18:41 - mmengine - INFO - Iter(train) [ 54000/640000]  base_lr: 1.9651e-04 lr: 1.9651e-05  eta: 10 days, 10:58:05  time: 1.5341  data_time: 0.0265  memory: 25682  grad_norm: 2.8082  loss: 1.5804  caption_loss_cls: 2.6655  detection_loss_cls: 0.0467  detection_loss_reg: 0.3845  semantic_segmentation_loss_cls: 0.0133  grounding_loss_reg: 3.5835  instance_segmentation_loss_cls: 0.0485  instance_segmentation_loss_reg: 0.3934  instance_segmentation_loss_poly: 1.0992
2024/01/02 22:18:41 - mmengine - INFO - Saving checkpoint at 54000 iterations
2024/01/03 01:23:05 - mmengine - INFO - Iter(train) [ 54500/640000]  base_lr: 1.9644e-04 lr: 1.9644e-05  eta: 9 days, 8:02:48  time: 1.5062  data_time: 0.0191  memory: 25630  grad_norm: 2.7826  loss: 1.5564  caption_loss_cls: 2.6667  detection_loss_cls: 0.0467  detection_loss_reg: 0.3854  semantic_segmentation_loss_cls: 0.0133  grounding_loss_reg: 3.5696  instance_segmentation_loss_cls: 0.0483  instance_segmentation_loss_reg: 0.3921  instance_segmentation_loss_poly: 1.0953
2024/01/03 01:34:20 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 01:34:20 - mmengine - INFO - Iter(train) [ 55000/640000]  base_lr: 1.9638e-04 lr: 1.9638e-05  eta: 9 days, 5:38:37  time: 1.4920  data_time: 0.0187  memory: 25630  grad_norm: 2.7377  loss: 1.5690  caption_loss_cls: 2.6603  detection_loss_cls: 0.0468  detection_loss_reg: 0.3878  semantic_segmentation_loss_cls: 0.0132  grounding_loss_reg: 3.5647  instance_segmentation_loss_cls: 0.0483  instance_segmentation_loss_reg: 0.3930  instance_segmentation_loss_poly: 1.0961
2024/01/03 01:45:41 - mmengine - INFO - Iter(train) [ 55500/640000]  base_lr: 1.9631e-04 lr: 1.9631e-05  eta: 9 days, 5:20:49  time: 1.4715  data_time: 0.0182  memory: 25630  grad_norm: 2.7205  loss: 1.5606  caption_loss_cls: 2.6527  detection_loss_cls: 0.0466  detection_loss_reg: 0.3871  semantic_segmentation_loss_cls: 0.0132  grounding_loss_reg: 3.5565  instance_segmentation_loss_cls: 0.0477  instance_segmentation_loss_reg: 0.3889  instance_segmentation_loss_poly: 1.0863
2024/01/03 01:57:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 01:57:29 - mmengine - INFO - Iter(train) [ 56000/640000]  base_lr: 1.9625e-04 lr: 1.9625e-05  eta: 9 days, 7:16:50  time: 1.4572  data_time: 0.0178  memory: 25630  grad_norm: 2.7216  loss: 1.5637  caption_loss_cls: 2.6482  detection_loss_cls: 0.0465  detection_loss_reg: 0.3852  semantic_segmentation_loss_cls: 0.0131  grounding_loss_reg: 3.5488  instance_segmentation_loss_cls: 0.0476  instance_segmentation_loss_reg: 0.3884  instance_segmentation_loss_poly: 1.0849
2024/01/03 01:57:29 - mmengine - INFO - Saving checkpoint at 56000 iterations
2024/01/03 02:09:30 - mmengine - INFO - Iter(train) [ 56500/640000]  base_lr: 1.9618e-04 lr: 1.9618e-05  eta: 9 days, 9:11:37  time: 1.4446  data_time: 0.0169  memory: 25630  grad_norm: 2.7187  loss: 1.5675  caption_loss_cls: 2.6423  detection_loss_cls: 0.0465  detection_loss_reg: 0.3852  semantic_segmentation_loss_cls: 0.0130  grounding_loss_reg: 3.5391  instance_segmentation_loss_cls: 0.0472  instance_segmentation_loss_reg: 0.3863  instance_segmentation_loss_poly: 1.0813
2024/01/03 02:21:21 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 02:21:21 - mmengine - INFO - Iter(train) [ 57000/640000]  base_lr: 1.9611e-04 lr: 1.9611e-05  eta: 9 days, 9:52:01  time: 1.4275  data_time: 0.0164  memory: 25630  grad_norm: 2.6836  loss: 1.5598  caption_loss_cls: 2.6349  detection_loss_cls: 0.0465  detection_loss_reg: 0.3859  semantic_segmentation_loss_cls: 0.0130  grounding_loss_reg: 3.5339  instance_segmentation_loss_cls: 0.0470  instance_segmentation_loss_reg: 0.3857  instance_segmentation_loss_poly: 1.0809
2024/01/03 02:32:57 - mmengine - INFO - Iter(train) [ 57500/640000]  base_lr: 1.9604e-04 lr: 1.9604e-05  eta: 9 days, 9:36:51  time: 1.4120  data_time: 0.0160  memory: 25630  grad_norm: 2.6667  loss: 1.5594  caption_loss_cls: 2.6313  detection_loss_cls: 0.0468  detection_loss_reg: 0.3867  semantic_segmentation_loss_cls: 0.0129  grounding_loss_reg: 3.5227  instance_segmentation_loss_cls: 0.0469  instance_segmentation_loss_reg: 0.3852  instance_segmentation_loss_poly: 1.0796
2024/01/03 02:44:55 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 02:44:55 - mmengine - INFO - Iter(train) [ 58000/640000]  base_lr: 1.9597e-04 lr: 1.9597e-05  eta: 9 days, 10:16:14  time: 1.3996  data_time: 0.0156  memory: 25630  grad_norm: 2.6569  loss: 1.5496  caption_loss_cls: 2.6251  detection_loss_cls: 0.0467  detection_loss_reg: 0.3871  semantic_segmentation_loss_cls: 0.0129  grounding_loss_reg: 3.5150  instance_segmentation_loss_cls: 0.0466  instance_segmentation_loss_reg: 0.3839  instance_segmentation_loss_poly: 1.0766
2024/01/03 02:44:55 - mmengine - INFO - Saving checkpoint at 58000 iterations
2024/01/03 02:56:47 - mmengine - INFO - Iter(train) [ 58500/640000]  base_lr: 1.9591e-04 lr: 1.9591e-05  eta: 9 days, 10:31:10  time: 1.4055  data_time: 0.0218  memory: 25630  grad_norm: 2.6876  loss: 1.5748  caption_loss_cls: 2.6238  detection_loss_cls: 0.0467  detection_loss_reg: 0.3878  semantic_segmentation_loss_cls: 0.0128  grounding_loss_reg: 3.5115  instance_segmentation_loss_cls: 0.0465  instance_segmentation_loss_reg: 0.3835  instance_segmentation_loss_poly: 1.0750
2024/01/03 03:08:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 03:08:50 - mmengine - INFO - Iter(train) [ 59000/640000]  base_lr: 1.9584e-04 lr: 1.9584e-05  eta: 9 days, 11:00:08  time: 1.4172  data_time: 0.0218  memory: 25630  grad_norm: 2.6400  loss: 1.5446  caption_loss_cls: 2.6209  detection_loss_cls: 0.0465  detection_loss_reg: 0.3865  semantic_segmentation_loss_cls: 0.0128  grounding_loss_reg: 3.5050  instance_segmentation_loss_cls: 0.0463  instance_segmentation_loss_reg: 0.3821  instance_segmentation_loss_poly: 1.0714
2024/01/03 03:21:34 - mmengine - INFO - Iter(train) [ 59500/640000]  base_lr: 1.9577e-04 lr: 1.9577e-05  eta: 9 days, 12:36:26  time: 1.4381  data_time: 0.0220  memory: 25630  grad_norm: 2.6129  loss: 1.5433  caption_loss_cls: 2.6172  detection_loss_cls: 0.0465  detection_loss_reg: 0.3863  semantic_segmentation_loss_cls: 0.0127  grounding_loss_reg: 3.4957  instance_segmentation_loss_cls: 0.0457  instance_segmentation_loss_reg: 0.3791  instance_segmentation_loss_poly: 1.0666
2024/01/03 03:33:14 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 03:33:14 - mmengine - INFO - Iter(train) [ 60000/640000]  base_lr: 1.9569e-04 lr: 1.9569e-05  eta: 9 days, 12:09:38  time: 1.4361  data_time: 0.0219  memory: 25630  grad_norm: 2.6162  loss: 1.5354  caption_loss_cls: 2.6198  detection_loss_cls: 0.0462  detection_loss_reg: 0.3830  semantic_segmentation_loss_cls: 0.0126  grounding_loss_reg: 3.4866  instance_segmentation_loss_cls: 0.0453  instance_segmentation_loss_reg: 0.3768  instance_segmentation_loss_poly: 1.0617
2024/01/03 03:33:14 - mmengine - INFO - Saving checkpoint at 60000 iterations
2024/01/03 03:44:40 - mmengine - INFO - Evaluating bbox...
2024/01/03 03:45:37 - mmengine - INFO - bbox_mAP_copypaste: 0.424 0.609 0.471 0.276 0.480 0.537
2024/01/03 03:45:37 - mmengine - INFO - Evaluating segm...
2024/01/03 03:46:50 - mmengine - INFO - segm_mAP_copypaste: 0.260 0.504 0.244 0.128 0.306 0.409
2024/01/03 03:49:00 - mmengine - INFO - Evaluating bbox...
2024/01/03 03:49:57 - mmengine - INFO - bbox_mAP_copypaste: 0.424 0.609 0.472 0.276 0.480 0.536
2024/01/03 03:55:36 - mmengine - INFO - per class results:
2024/01/03 03:55:36 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        |  77.3 | 87.99 |
|       building      | 79.36 | 91.26 |
|         sky         | 92.69 |  97.7 |
|        floor        | 81.45 | 88.13 |
|         tree        | 69.32 | 81.16 |
|       ceiling       | 83.98 | 89.43 |
|         road        | 83.01 | 87.22 |
|         bed         | 87.22 | 95.16 |
|      windowpane     | 61.38 | 82.89 |
|        grass        | 67.36 | 77.87 |
|       cabinet       | 59.68 | 74.18 |
|       sidewalk      | 64.63 |  78.6 |
|        person       | 80.61 | 93.25 |
|        earth        | 38.38 | 61.32 |
|         door        | 49.85 | 67.98 |
|        table        |  55.1 | 78.52 |
|       mountain      |  55.2 | 81.97 |
|        plant        | 47.91 | 54.94 |
|       curtain       | 74.17 | 85.94 |
|        chair        | 55.46 | 75.37 |
|         car         | 80.22 |  93.8 |
|        water        | 49.86 | 57.31 |
|       painting      | 66.99 | 88.62 |
|         sofa        | 62.14 | 90.76 |
|        shelf        | 41.24 | 61.44 |
|        house        | 40.46 | 72.07 |
|         sea         | 61.37 | 93.94 |
|        mirror       | 64.13 | 70.58 |
|         rug         | 68.98 | 82.94 |
|        field        | 22.14 |  25.3 |
|       armchair      | 34.64 | 44.96 |
|         seat        | 56.63 | 62.02 |
|        fence        | 42.14 | 59.51 |
|         desk        | 36.64 | 55.01 |
|         rock        | 28.61 | 34.81 |
|       wardrobe      | 42.92 | 55.81 |
|         lamp        |  58.6 | 82.38 |
|       bathtub       | 77.73 | 89.97 |
|       railing       | 32.88 | 50.37 |
|       cushion       | 51.78 | 59.43 |
|         base        | 21.42 | 34.47 |
|         box         | 18.07 | 20.36 |
|        column       | 49.93 | 52.55 |
|      signboard      | 30.72 | 36.94 |
|   chest of drawers  | 44.67 | 52.25 |
|       counter       | 23.72 |  40.4 |
|         sand        |  37.6 |  50.4 |
|         sink        | 67.25 | 81.12 |
|      skyscraper     | 47.78 | 58.33 |
|      fireplace      | 68.82 | 90.85 |
|     refrigerator    | 70.44 | 80.26 |
|      grandstand     | 43.83 | 73.89 |
|         path        | 22.62 | 35.34 |
|        stairs       | 24.74 | 27.28 |
|        runway       | 73.56 | 86.76 |
|         case        | 38.25 | 61.69 |
|      pool table     | 91.73 | 94.24 |
|        pillow       | 53.44 | 64.16 |
|     screen door     | 57.02 | 83.47 |
|       stairway      | 28.99 | 52.92 |
|        river        | 27.45 | 48.84 |
|        bridge       | 41.89 | 45.69 |
|       bookcase      | 33.38 | 50.71 |
|        blind        | 35.89 | 38.45 |
|     coffee table    | 60.15 | 74.15 |
|        toilet       | 79.65 | 89.03 |
|        flower       | 31.61 | 46.24 |
|         book        |  42.5 | 74.66 |
|         hill        |  2.54 |  2.82 |
|        bench        | 56.38 | 66.66 |
|      countertop     | 51.69 | 77.39 |
|        stove        | 64.38 | 86.62 |
|         palm        | 50.24 | 71.73 |
|    kitchen island   | 28.13 | 42.48 |
|       computer      | 71.62 |  85.1 |
|     swivel chair    | 13.83 | 14.31 |
|         boat        | 74.61 | 88.14 |
|         bar         | 29.42 | 34.25 |
|    arcade machine   | 36.41 | 36.96 |
|        hovel        |  8.04 |  8.29 |
|         bus         | 91.44 | 93.99 |
|        towel        | 55.92 | 66.91 |
|        light        | 51.13 | 60.13 |
|        truck        | 36.75 | 57.39 |
|        tower        | 13.64 | 19.05 |
|      chandelier     | 56.91 | 66.01 |
|        awning       | 31.95 | 52.78 |
|     streetlight     | 27.79 | 50.79 |
|        booth        | 31.62 | 32.37 |
| television receiver | 65.55 | 78.58 |
|       airplane      | 59.49 | 65.44 |
|      dirt track     |  0.78 |  0.86 |
|       apparel       | 27.44 |  41.8 |
|         pole        | 17.39 | 22.59 |
|         land        |  7.52 | 16.59 |
|      bannister      |  9.48 | 22.59 |
|      escalator      |  4.66 |  4.68 |
|       ottoman       | 42.29 | 79.15 |
|        bottle       | 25.37 | 34.32 |
|        buffet       |  42.3 | 64.86 |
|        poster       | 11.66 | 14.61 |
|        stage        |  7.03 |  7.93 |
|         van         |  5.45 |  5.73 |
|         ship        |  7.57 |  8.2  |
|       fountain      | 30.33 | 30.95 |
|    conveyer belt    | 55.94 | 57.54 |
|        canopy       | 37.17 | 44.91 |
|        washer       | 61.93 | 65.27 |
|      plaything      | 36.35 | 54.17 |
|    swimming pool    | 44.51 | 75.38 |
|        stool        | 42.18 | 52.53 |
|        barrel       | 12.93 | 22.64 |
|        basket       | 33.23 | 51.69 |
|      waterfall      |  62.7 | 68.76 |
|         tent        |  89.0 | 97.51 |
|         bag         | 22.68 | 27.87 |
|       minibike      | 72.64 |  84.3 |
|        cradle       | 73.73 | 97.06 |
|         oven        |  5.61 |  5.93 |
|         ball        | 41.97 | 68.55 |
|         food        | 49.39 | 54.72 |
|         step        |  0.94 |  1.03 |
|         tank        |  45.2 | 48.33 |
|      trade name     | 30.18 | 62.72 |
|      microwave      | 80.81 | 96.04 |
|         pot         | 40.09 | 47.66 |
|        animal       | 65.45 | 72.97 |
|       bicycle       | 57.64 | 83.48 |
|         lake        |  3.1  |  4.15 |
|      dishwasher     | 57.36 | 65.28 |
|        screen       | 64.92 | 75.43 |
|       blanket       | 10.08 | 11.69 |
|      sculpture      | 51.98 | 58.53 |
|         hood        | 56.45 | 68.06 |
|        sconce       | 34.12 | 42.88 |
|         vase        | 40.56 | 50.19 |
|    traffic light    | 28.38 | 40.54 |
|         tray        |  2.36 |  3.15 |
|        ashcan       | 29.95 |  38.5 |
|         fan         | 49.34 | 55.04 |
|         pier        | 34.68 | 43.42 |
|      crt screen     |  3.84 |  9.83 |
|        plate        | 45.61 |  66.1 |
|       monitor       |  9.29 |  9.61 |
|    bulletin board   | 30.37 | 47.84 |
|        shower       |  1.05 |  1.1  |
|       radiator      | 47.74 | 49.77 |
|        glass        | 14.54 | 15.37 |
|        clock        | 21.43 | 28.27 |
|         flag        | 40.72 | 44.86 |
+---------------------+-------+-------+
2024/01/03 03:55:58 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4240  coco/bbox_mAP_50: 0.6090  coco/bbox_mAP_75: 0.4720  coco/bbox_mAP_s: 0.2760  coco/bbox_mAP_m: 0.4800  coco/bbox_mAP_l: 0.5360  coco/segm_mAP: 0.2600  coco/segm_mAP_50: 0.5040  coco/segm_mAP_75: 0.2440  coco/segm_mAP_s: 0.1280  coco/segm_mAP_m: 0.3060  coco/segm_mAP_l: 0.4090  Bleu_1: 0.7104  Bleu_2: 0.5347  Bleu_3: 0.3888  Bleu_4: 0.2786  METEOR: 0.2413  ROUGE_L: 0.5187  CIDEr: 0.8896  SPICE: 0.1767  aAcc: 81.6600  mIoU: 44.2700  mAcc: 55.9400  visual-grounding/miou: 0.6695  visual-grounding/acc: 0.7402  data_time: 0.0289  time: 1.9266
2024/01/03 04:07:19 - mmengine - INFO - Iter(train) [ 60500/640000]  base_lr: 1.9562e-04 lr: 1.9562e-05  eta: 9 days, 11:30:44  time: 1.4284  data_time: 0.0178  memory: 34723  grad_norm: 2.6205  loss: 1.5363  caption_loss_cls: 2.6175  detection_loss_cls: 0.0459  detection_loss_reg: 0.3819  semantic_segmentation_loss_cls: 0.0126  grounding_loss_reg: 3.4783  instance_segmentation_loss_cls: 0.0453  instance_segmentation_loss_reg: 0.3768  instance_segmentation_loss_poly: 1.0614
2024/01/03 04:19:02 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 04:19:02 - mmengine - INFO - Iter(train) [ 61000/640000]  base_lr: 1.9555e-04 lr: 1.9555e-05  eta: 9 days, 11:12:55  time: 1.4263  data_time: 0.0180  memory: 25631  grad_norm: 2.6434  loss: 1.5329  caption_loss_cls: 2.6114  detection_loss_cls: 0.0460  detection_loss_reg: 0.3829  semantic_segmentation_loss_cls: 0.0126  grounding_loss_reg: 3.4725  instance_segmentation_loss_cls: 0.0449  instance_segmentation_loss_reg: 0.3744  instance_segmentation_loss_poly: 1.0543
2024/01/03 04:30:14 - mmengine - INFO - Iter(train) [ 61500/640000]  base_lr: 1.9548e-04 lr: 1.9548e-05  eta: 9 days, 10:16:57  time: 1.4202  data_time: 0.0182  memory: 25631  grad_norm: 2.6604  loss: 1.5421  caption_loss_cls: 2.6087  detection_loss_cls: 0.0459  detection_loss_reg: 0.3824  semantic_segmentation_loss_cls: 0.0126  grounding_loss_reg: 3.4702  instance_segmentation_loss_cls: 0.0450  instance_segmentation_loss_reg: 0.3765  instance_segmentation_loss_poly: 1.0593
2024/01/03 04:41:54 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 04:41:54 - mmengine - INFO - Iter(train) [ 62000/640000]  base_lr: 1.9540e-04 lr: 1.9540e-05  eta: 9 days, 10:00:20  time: 1.4157  data_time: 0.0185  memory: 25631  grad_norm: 2.6650  loss: 1.5704  caption_loss_cls: 2.6095  detection_loss_cls: 0.0457  detection_loss_reg: 0.3830  semantic_segmentation_loss_cls: 0.0126  grounding_loss_reg: 3.4650  instance_segmentation_loss_cls: 0.0450  instance_segmentation_loss_reg: 0.3756  instance_segmentation_loss_poly: 1.0575
2024/01/03 04:41:54 - mmengine - INFO - Saving checkpoint at 62000 iterations
2024/01/03 04:53:51 - mmengine - INFO - Iter(train) [ 62500/640000]  base_lr: 1.9533e-04 lr: 1.9533e-05  eta: 9 days, 10:03:37  time: 1.4169  data_time: 0.0202  memory: 25631  grad_norm: 2.6732  loss: 1.5694  caption_loss_cls: 2.6054  detection_loss_cls: 0.0457  detection_loss_reg: 0.3838  semantic_segmentation_loss_cls: 0.0125  grounding_loss_reg: 3.4570  instance_segmentation_loss_cls: 0.0449  instance_segmentation_loss_reg: 0.3757  instance_segmentation_loss_poly: 1.0556
2024/01/03 05:05:24 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 05:05:24 - mmengine - INFO - Iter(train) [ 63000/640000]  base_lr: 1.9526e-04 lr: 1.9526e-05  eta: 9 days, 9:38:47  time: 1.4095  data_time: 0.0204  memory: 25631  grad_norm: 2.6966  loss: 1.5782  caption_loss_cls: 2.6055  detection_loss_cls: 0.0456  detection_loss_reg: 0.3832  semantic_segmentation_loss_cls: 0.0125  grounding_loss_reg: 3.4468  instance_segmentation_loss_cls: 0.0449  instance_segmentation_loss_reg: 0.3769  instance_segmentation_loss_poly: 1.0558
2024/01/03 05:16:59 - mmengine - INFO - Iter(train) [ 63500/640000]  base_lr: 1.9518e-04 lr: 1.9518e-05  eta: 9 days, 9:18:42  time: 1.3922  data_time: 0.0204  memory: 25631  grad_norm: 2.7139  loss: 1.5734  caption_loss_cls: 2.5893  detection_loss_cls: 0.0456  detection_loss_reg: 0.3824  semantic_segmentation_loss_cls: 0.0125  grounding_loss_reg: 3.4397  instance_segmentation_loss_cls: 0.0450  instance_segmentation_loss_reg: 0.3780  instance_segmentation_loss_poly: 1.0573
2024/01/03 05:28:34 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 05:28:34 - mmengine - INFO - Iter(train) [ 64000/640000]  base_lr: 1.9511e-04 lr: 1.9511e-05  eta: 9 days, 8:58:01  time: 1.3909  data_time: 0.0208  memory: 25631  grad_norm: 2.7415  loss: 1.5803  caption_loss_cls: 2.5842  detection_loss_cls: 0.0455  detection_loss_reg: 0.3823  semantic_segmentation_loss_cls: 0.0125  grounding_loss_reg: 3.4269  instance_segmentation_loss_cls: 0.0448  instance_segmentation_loss_reg: 0.3757  instance_segmentation_loss_poly: 1.0527
2024/01/03 05:28:34 - mmengine - INFO - Saving checkpoint at 64000 iterations
2024/01/03 05:40:48 - mmengine - INFO - Iter(train) [ 64500/640000]  base_lr: 1.9503e-04 lr: 1.9503e-05  eta: 9 days, 9:15:04  time: 1.4020  data_time: 0.0259  memory: 25631  grad_norm: 2.7263  loss: 1.5684  caption_loss_cls: 2.5844  detection_loss_cls: 0.0457  detection_loss_reg: 0.3828  semantic_segmentation_loss_cls: 0.0124  grounding_loss_reg: 3.4199  instance_segmentation_loss_cls: 0.0448  instance_segmentation_loss_reg: 0.3776  instance_segmentation_loss_poly: 1.0556
2024/01/03 05:52:17 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 05:52:17 - mmengine - INFO - Iter(train) [ 65000/640000]  base_lr: 1.9495e-04 lr: 1.9495e-05  eta: 9 days, 8:49:59  time: 1.3987  data_time: 0.0259  memory: 25631  grad_norm: 2.7428  loss: 1.5676  caption_loss_cls: 2.5755  detection_loss_cls: 0.0456  detection_loss_reg: 0.3821  semantic_segmentation_loss_cls: 0.0124  grounding_loss_reg: 3.4133  instance_segmentation_loss_cls: 0.0445  instance_segmentation_loss_reg: 0.3767  instance_segmentation_loss_poly: 1.0533
2024/01/03 06:03:24 - mmengine - INFO - Iter(train) [ 65500/640000]  base_lr: 1.9488e-04 lr: 1.9488e-05  eta: 9 days, 8:07:06  time: 1.3974  data_time: 0.0258  memory: 25631  grad_norm: 2.7670  loss: 1.5563  caption_loss_cls: 2.5729  detection_loss_cls: 0.0456  detection_loss_reg: 0.3820  semantic_segmentation_loss_cls: 0.0124  grounding_loss_reg: 3.4018  instance_segmentation_loss_cls: 0.0441  instance_segmentation_loss_reg: 0.3752  instance_segmentation_loss_poly: 1.0502
2024/01/03 06:15:14 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 06:15:14 - mmengine - INFO - Iter(train) [ 66000/640000]  base_lr: 1.9480e-04 lr: 1.9480e-05  eta: 9 days, 8:01:16  time: 1.3997  data_time: 0.0258  memory: 25631  grad_norm: 2.7818  loss: 1.5510  caption_loss_cls: 2.5766  detection_loss_cls: 0.0457  detection_loss_reg: 0.3839  semantic_segmentation_loss_cls: 0.0124  grounding_loss_reg: 3.3980  instance_segmentation_loss_cls: 0.0440  instance_segmentation_loss_reg: 0.3746  instance_segmentation_loss_poly: 1.0485
2024/01/03 06:15:14 - mmengine - INFO - Saving checkpoint at 66000 iterations
2024/01/03 06:26:42 - mmengine - INFO - Iter(train) [ 66500/640000]  base_lr: 1.9472e-04 lr: 1.9472e-05  eta: 9 days, 7:39:10  time: 1.3927  data_time: 0.0253  memory: 25631  grad_norm: 2.8045  loss: 1.5481  caption_loss_cls: 2.5629  detection_loss_cls: 0.0456  detection_loss_reg: 0.3819  semantic_segmentation_loss_cls: 0.0123  grounding_loss_reg: 3.3932  instance_segmentation_loss_cls: 0.0439  instance_segmentation_loss_reg: 0.3754  instance_segmentation_loss_poly: 1.0506
2024/01/03 06:38:27 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 06:38:27 - mmengine - INFO - Iter(train) [ 67000/640000]  base_lr: 1.9464e-04 lr: 1.9464e-05  eta: 9 days, 7:29:24  time: 1.3958  data_time: 0.0253  memory: 25631  grad_norm: 2.7837  loss: 1.5327  caption_loss_cls: 2.5609  detection_loss_cls: 0.0454  detection_loss_reg: 0.3788  semantic_segmentation_loss_cls: 0.0123  grounding_loss_reg: 3.3885  instance_segmentation_loss_cls: 0.0438  instance_segmentation_loss_reg: 0.3752  instance_segmentation_loss_poly: 1.0508
2024/01/03 06:49:47 - mmengine - INFO - Iter(train) [ 67500/640000]  base_lr: 1.9456e-04 lr: 1.9456e-05  eta: 9 days, 7:01:41  time: 1.3917  data_time: 0.0253  memory: 25631  grad_norm: 2.7746  loss: 1.5375  caption_loss_cls: 2.5530  detection_loss_cls: 0.0451  detection_loss_reg: 0.3767  semantic_segmentation_loss_cls: 0.0123  grounding_loss_reg: 3.3815  instance_segmentation_loss_cls: 0.0438  instance_segmentation_loss_reg: 0.3765  instance_segmentation_loss_poly: 1.0514
2024/01/03 07:01:04 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 07:01:04 - mmengine - INFO - Iter(train) [ 68000/640000]  base_lr: 1.9448e-04 lr: 1.9448e-05  eta: 9 days, 6:33:52  time: 1.3875  data_time: 0.0253  memory: 25631  grad_norm: 2.7536  loss: 1.5442  caption_loss_cls: 2.5451  detection_loss_cls: 0.0451  detection_loss_reg: 0.3783  semantic_segmentation_loss_cls: 0.0122  grounding_loss_reg: 3.3771  instance_segmentation_loss_cls: 0.0435  instance_segmentation_loss_reg: 0.3751  instance_segmentation_loss_poly: 1.0480
2024/01/03 07:01:04 - mmengine - INFO - Saving checkpoint at 68000 iterations
2024/01/03 07:13:13 - mmengine - INFO - Iter(train) [ 68500/640000]  base_lr: 1.9440e-04 lr: 1.9440e-05  eta: 9 days, 6:40:31  time: 1.3860  data_time: 0.0251  memory: 25631  grad_norm: 2.7695  loss: 1.5505  caption_loss_cls: 2.5374  detection_loss_cls: 0.0451  detection_loss_reg: 0.3780  semantic_segmentation_loss_cls: 0.0122  grounding_loss_reg: 3.3731  instance_segmentation_loss_cls: 0.0437  instance_segmentation_loss_reg: 0.3759  instance_segmentation_loss_poly: 1.0504
2024/01/03 07:25:01 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 07:25:01 - mmengine - INFO - Iter(train) [ 69000/640000]  base_lr: 1.9432e-04 lr: 1.9432e-05  eta: 9 days, 6:32:57  time: 1.3906  data_time: 0.0252  memory: 25631  grad_norm: 2.7699  loss: 1.5625  caption_loss_cls: 2.5372  detection_loss_cls: 0.0454  detection_loss_reg: 0.3810  semantic_segmentation_loss_cls: 0.0122  grounding_loss_reg: 3.3709  instance_segmentation_loss_cls: 0.0434  instance_segmentation_loss_reg: 0.3748  instance_segmentation_loss_poly: 1.0482
2024/01/03 07:36:22 - mmengine - INFO - Iter(train) [ 69500/640000]  base_lr: 1.9424e-04 lr: 1.9424e-05  eta: 9 days, 6:08:39  time: 1.3943  data_time: 0.0253  memory: 25631  grad_norm: 2.7479  loss: 1.5676  caption_loss_cls: 2.5415  detection_loss_cls: 0.0449  detection_loss_reg: 0.3784  semantic_segmentation_loss_cls: 0.0121  grounding_loss_reg: 3.3666  instance_segmentation_loss_cls: 0.0436  instance_segmentation_loss_reg: 0.3769  instance_segmentation_loss_poly: 1.0514
2024/01/03 07:48:08 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 07:48:08 - mmengine - INFO - Iter(train) [ 70000/640000]  base_lr: 1.9415e-04 lr: 1.9415e-05  eta: 9 days, 6:00:17  time: 1.3935  data_time: 0.0253  memory: 25631  grad_norm: 2.7492  loss: 1.5568  caption_loss_cls: 2.5442  detection_loss_cls: 0.0451  detection_loss_reg: 0.3784  semantic_segmentation_loss_cls: 0.0121  grounding_loss_reg: 3.3631  instance_segmentation_loss_cls: 0.0436  instance_segmentation_loss_reg: 0.3761  instance_segmentation_loss_poly: 1.0489
2024/01/03 07:48:08 - mmengine - INFO - Saving checkpoint at 70000 iterations
2024/01/03 08:00:21 - mmengine - INFO - Iter(train) [ 70500/640000]  base_lr: 1.9407e-04 lr: 1.9407e-05  eta: 9 days, 6:06:52  time: 1.4045  data_time: 0.0254  memory: 25631  grad_norm: 2.7430  loss: 1.5557  caption_loss_cls: 2.5422  detection_loss_cls: 0.0450  detection_loss_reg: 0.3777  semantic_segmentation_loss_cls: 0.0122  grounding_loss_reg: 3.3575  instance_segmentation_loss_cls: 0.0434  instance_segmentation_loss_reg: 0.3758  instance_segmentation_loss_poly: 1.0491
2024/01/03 08:11:42 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 08:11:42 - mmengine - INFO - Iter(train) [ 71000/640000]  base_lr: 1.9399e-04 lr: 1.9399e-05  eta: 9 days, 5:43:17  time: 1.3985  data_time: 0.0253  memory: 25631  grad_norm: 2.7950  loss: 1.5592  caption_loss_cls: 2.5505  detection_loss_cls: 0.0447  detection_loss_reg: 0.3754  semantic_segmentation_loss_cls: 0.0122  grounding_loss_reg: 3.3514  instance_segmentation_loss_cls: 0.0433  instance_segmentation_loss_reg: 0.3761  instance_segmentation_loss_poly: 1.0518
2024/01/03 08:23:02 - mmengine - INFO - Iter(train) [ 71500/640000]  base_lr: 1.9390e-04 lr: 1.9390e-05  eta: 9 days, 5:19:52  time: 1.3986  data_time: 0.0251  memory: 25631  grad_norm: 2.8107  loss: 1.5593  caption_loss_cls: 2.5508  detection_loss_cls: 0.0448  detection_loss_reg: 0.3760  semantic_segmentation_loss_cls: 0.0121  grounding_loss_reg: 3.3460  instance_segmentation_loss_cls: 0.0431  instance_segmentation_loss_reg: 0.3735  instance_segmentation_loss_poly: 1.0462
2024/01/03 08:34:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 08:34:39 - mmengine - INFO - Iter(train) [ 72000/640000]  base_lr: 1.9382e-04 lr: 1.9382e-05  eta: 9 days, 5:06:06  time: 1.4034  data_time: 0.0251  memory: 25631  grad_norm: 2.7802  loss: 1.5368  caption_loss_cls: 2.5433  detection_loss_cls: 0.0449  detection_loss_reg: 0.3765  semantic_segmentation_loss_cls: 0.0121  grounding_loss_reg: 3.3409  instance_segmentation_loss_cls: 0.0431  instance_segmentation_loss_reg: 0.3729  instance_segmentation_loss_poly: 1.0442
2024/01/03 08:34:39 - mmengine - INFO - Saving checkpoint at 72000 iterations
2024/01/03 08:46:41 - mmengine - INFO - Iter(train) [ 72500/640000]  base_lr: 1.9373e-04 lr: 1.9373e-05  eta: 9 days, 5:05:26  time: 1.4019  data_time: 0.0251  memory: 25631  grad_norm: 2.7795  loss: 1.5393  caption_loss_cls: 2.5404  detection_loss_cls: 0.0448  detection_loss_reg: 0.3768  semantic_segmentation_loss_cls: 0.0121  grounding_loss_reg: 3.3369  instance_segmentation_loss_cls: 0.0432  instance_segmentation_loss_reg: 0.3730  instance_segmentation_loss_poly: 1.0449
2024/01/03 08:57:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 08:57:50 - mmengine - INFO - Iter(train) [ 73000/640000]  base_lr: 1.9365e-04 lr: 1.9365e-05  eta: 9 days, 4:37:41  time: 1.3922  data_time: 0.0250  memory: 25631  grad_norm: 2.7872  loss: 1.5272  caption_loss_cls: 2.5310  detection_loss_cls: 0.0445  detection_loss_reg: 0.3745  semantic_segmentation_loss_cls: 0.0120  grounding_loss_reg: 3.3328  instance_segmentation_loss_cls: 0.0430  instance_segmentation_loss_reg: 0.3720  instance_segmentation_loss_poly: 1.0428
2024/01/03 09:09:48 - mmengine - INFO - Iter(train) [ 73500/640000]  base_lr: 1.9356e-04 lr: 1.9356e-05  eta: 9 days, 4:34:35  time: 1.4015  data_time: 0.0251  memory: 25631  grad_norm: 2.7327  loss: 1.5085  caption_loss_cls: 2.5259  detection_loss_cls: 0.0447  detection_loss_reg: 0.3761  semantic_segmentation_loss_cls: 0.0121  grounding_loss_reg: 3.3297  instance_segmentation_loss_cls: 0.0429  instance_segmentation_loss_reg: 0.3710  instance_segmentation_loss_poly: 1.0402
2024/01/03 09:21:04 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 09:21:04 - mmengine - INFO - Iter(train) [ 74000/640000]  base_lr: 1.9347e-04 lr: 1.9347e-05  eta: 9 days, 4:11:17  time: 1.3939  data_time: 0.0250  memory: 25631  grad_norm: 2.7440  loss: 1.5238  caption_loss_cls: 2.5280  detection_loss_cls: 0.0447  detection_loss_reg: 0.3776  semantic_segmentation_loss_cls: 0.0120  grounding_loss_reg: 3.3296  instance_segmentation_loss_cls: 0.0428  instance_segmentation_loss_reg: 0.3700  instance_segmentation_loss_poly: 1.0385
2024/01/03 09:21:04 - mmengine - INFO - Saving checkpoint at 74000 iterations
2024/01/03 09:33:12 - mmengine - INFO - Iter(train) [ 74500/640000]  base_lr: 1.9339e-04 lr: 1.9339e-05  eta: 9 days, 4:12:01  time: 1.3925  data_time: 0.0250  memory: 25631  grad_norm: 2.6898  loss: 1.5141  caption_loss_cls: 2.5223  detection_loss_cls: 0.0444  detection_loss_reg: 0.3749  semantic_segmentation_loss_cls: 0.0120  grounding_loss_reg: 3.3297  instance_segmentation_loss_cls: 0.0431  instance_segmentation_loss_reg: 0.3723  instance_segmentation_loss_poly: 1.0441
2024/01/03 09:44:24 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 09:44:24 - mmengine - INFO - Iter(train) [ 75000/640000]  base_lr: 1.9330e-04 lr: 1.9330e-05  eta: 9 days, 3:47:16  time: 1.3903  data_time: 0.0250  memory: 25631  grad_norm: 2.6892  loss: 1.5182  caption_loss_cls: 2.5261  detection_loss_cls: 0.0440  detection_loss_reg: 0.3721  semantic_segmentation_loss_cls: 0.0120  grounding_loss_reg: 3.3217  instance_segmentation_loss_cls: 0.0432  instance_segmentation_loss_reg: 0.3726  instance_segmentation_loss_poly: 1.0430
2024/01/03 09:56:02 - mmengine - INFO - Iter(train) [ 75500/640000]  base_lr: 1.9321e-04 lr: 1.9321e-05  eta: 9 days, 3:34:58  time: 1.3950  data_time: 0.0251  memory: 25631  grad_norm: 2.7185  loss: 1.5215  caption_loss_cls: 2.5283  detection_loss_cls: 0.0439  detection_loss_reg: 0.3701  semantic_segmentation_loss_cls: 0.0120  grounding_loss_reg: 3.3210  instance_segmentation_loss_cls: 0.0430  instance_segmentation_loss_reg: 0.3711  instance_segmentation_loss_poly: 1.0403
2024/01/03 10:07:55 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 10:07:55 - mmengine - INFO - Iter(train) [ 76000/640000]  base_lr: 1.9312e-04 lr: 1.9312e-05  eta: 9 days, 3:28:26  time: 1.3989  data_time: 0.0251  memory: 25631  grad_norm: 2.7068  loss: 1.5179  caption_loss_cls: 2.5302  detection_loss_cls: 0.0439  detection_loss_reg: 0.3722  semantic_segmentation_loss_cls: 0.0120  grounding_loss_reg: 3.3171  instance_segmentation_loss_cls: 0.0431  instance_segmentation_loss_reg: 0.3715  instance_segmentation_loss_poly: 1.0406
2024/01/03 10:07:55 - mmengine - INFO - Saving checkpoint at 76000 iterations
2024/01/03 10:20:01 - mmengine - INFO - Iter(train) [ 76500/640000]  base_lr: 1.9303e-04 lr: 1.9303e-05  eta: 9 days, 3:27:31  time: 1.3999  data_time: 0.0253  memory: 25631  grad_norm: 2.6846  loss: 1.5027  caption_loss_cls: 2.5259  detection_loss_cls: 0.0440  detection_loss_reg: 0.3729  semantic_segmentation_loss_cls: 0.0120  grounding_loss_reg: 3.3129  instance_segmentation_loss_cls: 0.0433  instance_segmentation_loss_reg: 0.3733  instance_segmentation_loss_poly: 1.0429
2024/01/03 10:31:06 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 10:31:06 - mmengine - INFO - Iter(train) [ 77000/640000]  base_lr: 1.9294e-04 lr: 1.9294e-05  eta: 9 days, 3:01:18  time: 1.3990  data_time: 0.0253  memory: 25631  grad_norm: 2.6689  loss: 1.5081  caption_loss_cls: 2.5232  detection_loss_cls: 0.0440  detection_loss_reg: 0.3738  semantic_segmentation_loss_cls: 0.0120  grounding_loss_reg: 3.3078  instance_segmentation_loss_cls: 0.0434  instance_segmentation_loss_reg: 0.3740  instance_segmentation_loss_poly: 1.0438
2024/01/03 10:42:28 - mmengine - INFO - Iter(train) [ 77500/640000]  base_lr: 1.9285e-04 lr: 1.9285e-05  eta: 9 days, 2:42:15  time: 1.3899  data_time: 0.0251  memory: 25631  grad_norm: 2.7273  loss: 1.5151  caption_loss_cls: 2.5239  detection_loss_cls: 0.0436  detection_loss_reg: 0.3718  semantic_segmentation_loss_cls: 0.0120  grounding_loss_reg: 3.3027  instance_segmentation_loss_cls: 0.0434  instance_segmentation_loss_reg: 0.3724  instance_segmentation_loss_poly: 1.0406
2024/01/03 10:53:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 10:53:53 - mmengine - INFO - Iter(train) [ 78000/640000]  base_lr: 1.9276e-04 lr: 1.9276e-05  eta: 9 days, 2:24:35  time: 1.3920  data_time: 0.0252  memory: 25631  grad_norm: 2.7152  loss: 1.5196  caption_loss_cls: 2.5297  detection_loss_cls: 0.0433  detection_loss_reg: 0.3696  semantic_segmentation_loss_cls: 0.0120  grounding_loss_reg: 3.2972  instance_segmentation_loss_cls: 0.0434  instance_segmentation_loss_reg: 0.3732  instance_segmentation_loss_poly: 1.0407
2024/01/03 10:53:53 - mmengine - INFO - Saving checkpoint at 78000 iterations
2024/01/03 11:05:56 - mmengine - INFO - Iter(train) [ 78500/640000]  base_lr: 1.9267e-04 lr: 1.9267e-05  eta: 9 days, 2:21:53  time: 1.3909  data_time: 0.0251  memory: 25631  grad_norm: 2.7200  loss: 1.5066  caption_loss_cls: 2.5254  detection_loss_cls: 0.0431  detection_loss_reg: 0.3687  semantic_segmentation_loss_cls: 0.0120  grounding_loss_reg: 3.2906  instance_segmentation_loss_cls: 0.0434  instance_segmentation_loss_reg: 0.3731  instance_segmentation_loss_poly: 1.0404
2024/01/03 11:18:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 11:18:03 - mmengine - INFO - Iter(train) [ 79000/640000]  base_lr: 1.9257e-04 lr: 1.9257e-05  eta: 9 days, 2:20:22  time: 1.4047  data_time: 0.0253  memory: 25631  grad_norm: 2.6636  loss: 1.4961  caption_loss_cls: 2.5208  detection_loss_cls: 0.0433  detection_loss_reg: 0.3697  semantic_segmentation_loss_cls: 0.0121  grounding_loss_reg: 3.2843  instance_segmentation_loss_cls: 0.0434  instance_segmentation_loss_reg: 0.3732  instance_segmentation_loss_poly: 1.0419
2024/01/03 11:29:10 - mmengine - INFO - Iter(train) [ 79500/640000]  base_lr: 1.9248e-04 lr: 1.9248e-05  eta: 9 days, 1:56:27  time: 1.3968  data_time: 0.0252  memory: 25631  grad_norm: 2.6623  loss: 1.5045  caption_loss_cls: 2.5200  detection_loss_cls: 0.0430  detection_loss_reg: 0.3676  semantic_segmentation_loss_cls: 0.0120  grounding_loss_reg: 3.2852  instance_segmentation_loss_cls: 0.0434  instance_segmentation_loss_reg: 0.3726  instance_segmentation_loss_poly: 1.0399
2024/01/03 11:40:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 11:40:03 - mmengine - INFO - Iter(train) [ 80000/640000]  base_lr: 1.9239e-04 lr: 1.9239e-05  eta: 9 days, 1:27:53  time: 1.3820  data_time: 0.0251  memory: 25631  grad_norm: 2.7204  loss: 1.5297  caption_loss_cls: 2.5127  detection_loss_cls: 0.0431  detection_loss_reg: 0.3682  semantic_segmentation_loss_cls: 0.0119  grounding_loss_reg: 3.2828  instance_segmentation_loss_cls: 0.0435  instance_segmentation_loss_reg: 0.3740  instance_segmentation_loss_poly: 1.0419
2024/01/03 11:40:03 - mmengine - INFO - Saving checkpoint at 80000 iterations
2024/01/03 11:51:54 - mmengine - INFO - Evaluating bbox...
2024/01/03 11:52:53 - mmengine - INFO - bbox_mAP_copypaste: 0.442 0.622 0.487 0.289 0.494 0.566
2024/01/03 11:52:53 - mmengine - INFO - Evaluating segm...
2024/01/03 11:54:03 - mmengine - INFO - segm_mAP_copypaste: 0.276 0.515 0.264 0.137 0.323 0.427
2024/01/03 11:56:12 - mmengine - INFO - Evaluating bbox...
2024/01/03 11:57:10 - mmengine - INFO - bbox_mAP_copypaste: 0.440 0.620 0.485 0.289 0.493 0.564
2024/01/03 12:02:35 - mmengine - INFO - per class results:
2024/01/03 12:02:35 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 77.76 | 87.25 |
|       building      | 81.47 | 94.19 |
|         sky         | 92.05 | 98.39 |
|        floor        | 82.04 | 88.65 |
|         tree        | 69.98 | 79.72 |
|       ceiling       | 84.77 | 94.26 |
|         road        | 83.15 | 91.77 |
|         bed         |  88.6 | 95.79 |
|      windowpane     | 60.77 | 70.25 |
|        grass        |  60.3 | 79.74 |
|       cabinet       | 56.52 | 78.22 |
|       sidewalk      | 62.49 | 70.84 |
|        person       | 79.98 | 90.36 |
|        earth        | 35.71 | 46.08 |
|         door        | 53.09 | 73.13 |
|        table        | 57.18 | 69.04 |
|       mountain      | 54.69 | 79.31 |
|        plant        | 43.37 | 47.02 |
|       curtain       | 72.45 | 78.42 |
|        chair        | 57.38 | 74.74 |
|         car         | 83.11 | 90.99 |
|        water        | 51.82 | 66.16 |
|       painting      | 68.58 | 88.83 |
|         sofa        | 64.07 | 79.65 |
|        shelf        | 37.85 | 50.31 |
|        house        |  43.1 | 52.48 |
|         sea         |  52.3 | 78.68 |
|        mirror       | 67.06 | 74.67 |
|         rug         | 67.09 | 76.03 |
|        field        | 28.66 | 57.26 |
|       armchair      | 43.78 | 66.75 |
|         seat        | 65.83 | 84.07 |
|        fence        | 45.38 | 66.08 |
|         desk        |  41.0 | 54.72 |
|         rock        | 33.14 | 41.63 |
|       wardrobe      | 46.51 | 66.78 |
|         lamp        | 59.57 | 71.97 |
|       bathtub       | 75.55 |  86.3 |
|       railing       | 37.31 | 50.06 |
|       cushion       | 55.53 | 79.11 |
|         base        | 29.98 | 34.36 |
|         box         | 26.35 | 31.95 |
|        column       | 52.68 | 70.16 |
|      signboard      |  35.2 |  45.6 |
|   chest of drawers  | 46.72 | 65.44 |
|       counter       | 18.11 | 22.45 |
|         sand        | 33.96 |  71.1 |
|         sink        | 69.09 | 80.15 |
|      skyscraper     | 44.32 | 53.73 |
|      fireplace      | 69.85 | 90.67 |
|     refrigerator    | 71.93 | 88.96 |
|      grandstand     | 37.74 | 81.13 |
|         path        | 23.16 | 35.05 |
|        stairs       | 36.81 | 62.71 |
|        runway       | 70.07 | 88.07 |
|         case        | 44.86 | 64.75 |
|      pool table     | 84.94 | 97.29 |
|        pillow       |  55.3 | 64.77 |
|     screen door     |  2.53 |  2.53 |
|       stairway      | 42.77 | 50.77 |
|        river        | 22.79 | 32.61 |
|        bridge       | 62.71 | 69.86 |
|       bookcase      | 31.18 | 56.76 |
|        blind        | 45.22 |  56.5 |
|     coffee table    | 57.35 | 74.89 |
|        toilet       | 84.69 | 91.86 |
|        flower       | 30.06 |  50.3 |
|         book        | 41.59 | 57.54 |
|         hill        | 10.31 | 18.81 |
|        bench        | 55.59 |  68.8 |
|      countertop     | 48.18 | 60.64 |
|        stove        | 69.95 |  84.5 |
|         palm        | 42.08 | 52.97 |
|    kitchen island   | 21.78 | 94.08 |
|       computer      | 69.44 | 86.73 |
|     swivel chair    | 41.56 | 52.78 |
|         boat        |  54.6 | 57.07 |
|         bar         | 23.59 | 33.26 |
|    arcade machine   |  69.2 | 89.51 |
|        hovel        |  23.1 | 24.67 |
|         bus         | 92.15 | 94.47 |
|        towel        | 56.26 |  75.2 |
|        light        | 46.23 | 53.51 |
|        truck        | 33.63 | 67.52 |
|        tower        |  3.29 |  4.98 |
|      chandelier     | 60.26 |  73.3 |
|        awning       |  30.2 | 40.11 |
|     streetlight     | 19.46 | 25.18 |
|        booth        | 28.39 | 50.14 |
| television receiver |  67.9 | 86.46 |
|       airplane      | 68.61 | 77.99 |
|      dirt track     |  3.97 | 15.62 |
|       apparel       | 24.96 | 34.39 |
|         pole        | 15.59 | 17.48 |
|         land        |  0.38 |  0.45 |
|      bannister      |  4.7  |  5.46 |
|      escalator      | 30.73 | 35.17 |
|       ottoman       |  31.8 | 38.63 |
|        bottle       | 25.37 | 35.18 |
|        buffet       | 44.48 | 50.86 |
|        poster       | 16.72 | 17.04 |
|        stage        | 14.06 | 21.45 |
|         van         | 30.56 | 34.66 |
|         ship        |  7.21 |  9.43 |
|       fountain      | 32.93 | 33.33 |
|    conveyer belt    | 79.96 | 91.83 |
|        canopy       | 32.16 | 42.46 |
|        washer       | 36.27 | 83.84 |
|      plaything      | 32.36 | 36.31 |
|    swimming pool    | 45.83 | 59.79 |
|        stool        | 31.42 | 69.45 |
|        barrel       | 22.27 | 83.56 |
|        basket       | 26.88 | 32.94 |
|      waterfall      | 72.72 |  91.5 |
|         tent        | 89.51 | 97.85 |
|         bag         | 17.86 |  19.7 |
|       minibike      | 70.36 | 86.19 |
|        cradle       | 82.95 | 96.17 |
|         oven        | 27.71 | 31.59 |
|         ball        | 41.55 | 57.36 |
|         food        | 49.63 | 57.25 |
|         step        | 10.04 | 11.09 |
|         tank        | 31.15 | 32.25 |
|      trade name     | 23.72 | 26.75 |
|      microwave      | 68.34 | 79.52 |
|         pot         | 43.79 |  55.8 |
|        animal       | 66.84 | 73.99 |
|       bicycle       | 54.45 | 62.25 |
|         lake        |  0.0  |  0.0  |
|      dishwasher     | 61.62 | 68.79 |
|        screen       | 51.65 | 85.15 |
|       blanket       | 19.84 | 22.52 |
|      sculpture      | 50.78 |  65.3 |
|         hood        | 53.25 | 55.71 |
|        sconce       | 35.73 | 41.67 |
|         vase        |  38.4 | 53.03 |
|    traffic light    | 31.42 |  47.9 |
|         tray        |  3.45 |  6.54 |
|        ashcan       | 29.74 | 48.28 |
|         fan         | 55.08 | 64.91 |
|         pier        | 36.38 | 48.92 |
|      crt screen     |  7.02 | 18.09 |
|        plate        | 46.05 |  78.3 |
|       monitor       | 13.28 | 20.21 |
|    bulletin board   | 29.27 | 60.66 |
|        shower       |  0.73 | 17.75 |
|       radiator      | 50.49 | 58.39 |
|        glass        | 18.12 | 21.54 |
|        clock        | 21.07 |  33.2 |
|         flag        | 45.41 | 50.35 |
+---------------------+-------+-------+
2024/01/03 12:02:48 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4400  coco/bbox_mAP_50: 0.6200  coco/bbox_mAP_75: 0.4850  coco/bbox_mAP_s: 0.2890  coco/bbox_mAP_m: 0.4930  coco/bbox_mAP_l: 0.5640  coco/segm_mAP: 0.2760  coco/segm_mAP_50: 0.5150  coco/segm_mAP_75: 0.2640  coco/segm_mAP_s: 0.1370  coco/segm_mAP_m: 0.3230  coco/segm_mAP_l: 0.4270  Bleu_1: 0.7117  Bleu_2: 0.5433  Bleu_3: 0.4037  Bleu_4: 0.2967  METEOR: 0.2459  ROUGE_L: 0.5262  CIDEr: 0.9131  SPICE: 0.1818  aAcc: 81.8500  mIoU: 45.1200  mAcc: 58.2000  visual-grounding/miou: 0.7050  visual-grounding/acc: 0.7745  data_time: 0.0126  time: 1.9395
2024/01/03 12:14:01 - mmengine - INFO - Iter(train) [ 80500/640000]  base_lr: 1.9229e-04 lr: 1.9229e-05  eta: 9 days, 1:07:56  time: 1.3693  data_time: 0.0184  memory: 34722  grad_norm: 2.7791  loss: 1.5426  caption_loss_cls: 2.5099  detection_loss_cls: 0.0431  detection_loss_reg: 0.3680  semantic_segmentation_loss_cls: 0.0119  grounding_loss_reg: 3.2810  instance_segmentation_loss_cls: 0.0436  instance_segmentation_loss_reg: 0.3763  instance_segmentation_loss_poly: 1.0466
2024/01/03 12:25:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 12:25:44 - mmengine - INFO - Iter(train) [ 81000/640000]  base_lr: 1.9220e-04 lr: 1.9220e-05  eta: 9 days, 0:57:45  time: 1.3786  data_time: 0.0185  memory: 25629  grad_norm: 2.7822  loss: 1.5416  caption_loss_cls: 2.5079  detection_loss_cls: 0.0431  detection_loss_reg: 0.3710  semantic_segmentation_loss_cls: 0.0119  grounding_loss_reg: 3.2775  instance_segmentation_loss_cls: 0.0436  instance_segmentation_loss_reg: 0.3769  instance_segmentation_loss_poly: 1.0469
2024/01/03 12:36:56 - mmengine - INFO - Iter(train) [ 81500/640000]  base_lr: 1.9210e-04 lr: 1.9210e-05  eta: 9 days, 0:37:01  time: 1.3761  data_time: 0.0186  memory: 25629  grad_norm: 2.8136  loss: 1.5541  caption_loss_cls: 2.4966  detection_loss_cls: 0.0430  detection_loss_reg: 0.3694  semantic_segmentation_loss_cls: 0.0119  grounding_loss_reg: 3.2676  instance_segmentation_loss_cls: 0.0436  instance_segmentation_loss_reg: 0.3778  instance_segmentation_loss_poly: 1.0502
2024/01/03 12:48:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 12:48:39 - mmengine - INFO - Iter(train) [ 82000/640000]  base_lr: 1.9201e-04 lr: 1.9201e-05  eta: 9 days, 0:26:56  time: 1.3807  data_time: 0.0186  memory: 25629  grad_norm: 2.8067  loss: 1.5287  caption_loss_cls: 2.4910  detection_loss_cls: 0.0430  detection_loss_reg: 0.3697  semantic_segmentation_loss_cls: 0.0119  grounding_loss_reg: 3.2600  instance_segmentation_loss_cls: 0.0435  instance_segmentation_loss_reg: 0.3763  instance_segmentation_loss_poly: 1.0472
2024/01/03 12:48:39 - mmengine - INFO - Saving checkpoint at 82000 iterations
2024/01/03 13:03:56 - mmengine - INFO - Iter(train) [ 82500/640000]  base_lr: 1.9191e-04 lr: 1.9191e-05  eta: 9 days, 1:26:50  time: 1.4294  data_time: 0.0187  memory: 25629  grad_norm: 2.7995  loss: 1.5295  caption_loss_cls: 2.4871  detection_loss_cls: 0.0431  detection_loss_reg: 0.3700  semantic_segmentation_loss_cls: 0.0119  grounding_loss_reg: 3.2581  instance_segmentation_loss_cls: 0.0434  instance_segmentation_loss_reg: 0.3756  instance_segmentation_loss_poly: 1.0453
2024/01/03 13:15:23 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 13:15:23 - mmengine - INFO - Iter(train) [ 83000/640000]  base_lr: 1.9181e-04 lr: 1.9181e-05  eta: 9 days, 1:10:19  time: 1.4193  data_time: 0.0187  memory: 25629  grad_norm: 2.8260  loss: 1.5359  caption_loss_cls: 2.4895  detection_loss_cls: 0.0430  detection_loss_reg: 0.3707  semantic_segmentation_loss_cls: 0.0119  grounding_loss_reg: 3.2535  instance_segmentation_loss_cls: 0.0434  instance_segmentation_loss_reg: 0.3754  instance_segmentation_loss_poly: 1.0464
2024/01/03 13:27:04 - mmengine - INFO - Iter(train) [ 83500/640000]  base_lr: 1.9172e-04 lr: 1.9172e-05  eta: 9 days, 0:58:21  time: 1.4278  data_time: 0.0188  memory: 25629  grad_norm: 2.8106  loss: 1.5141  caption_loss_cls: 2.4828  detection_loss_cls: 0.0429  detection_loss_reg: 0.3688  semantic_segmentation_loss_cls: 0.0119  grounding_loss_reg: 3.2506  instance_segmentation_loss_cls: 0.0434  instance_segmentation_loss_reg: 0.3746  instance_segmentation_loss_poly: 1.0444
2024/01/03 13:39:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 13:39:31 - mmengine - INFO - Iter(train) [ 84000/640000]  base_lr: 1.9162e-04 lr: 1.9162e-05  eta: 9 days, 1:00:21  time: 1.4511  data_time: 0.0191  memory: 25629  grad_norm: 2.7445  loss: 1.4969  caption_loss_cls: 2.4793  detection_loss_cls: 0.0430  detection_loss_reg: 0.3706  semantic_segmentation_loss_cls: 0.0118  grounding_loss_reg: 3.2555  instance_segmentation_loss_cls: 0.0430  instance_segmentation_loss_reg: 0.3729  instance_segmentation_loss_poly: 1.0411
2024/01/03 13:39:31 - mmengine - INFO - Saving checkpoint at 84000 iterations
2024/01/03 13:51:15 - mmengine - INFO - Iter(train) [ 84500/640000]  base_lr: 1.9152e-04 lr: 1.9152e-05  eta: 9 days, 0:49:05  time: 1.4583  data_time: 0.0256  memory: 25629  grad_norm: 2.7098  loss: 1.4938  caption_loss_cls: 2.4810  detection_loss_cls: 0.0428  detection_loss_reg: 0.3685  semantic_segmentation_loss_cls: 0.0118  grounding_loss_reg: 3.2516  instance_segmentation_loss_cls: 0.0431  instance_segmentation_loss_reg: 0.3729  instance_segmentation_loss_poly: 1.0407
2024/01/03 14:03:04 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 14:03:04 - mmengine - INFO - Iter(train) [ 85000/640000]  base_lr: 1.9142e-04 lr: 1.9142e-05  eta: 9 days, 0:39:18  time: 1.4598  data_time: 0.0257  memory: 25629  grad_norm: 2.6897  loss: 1.4997  caption_loss_cls: 2.4805  detection_loss_cls: 0.0426  detection_loss_reg: 0.3672  semantic_segmentation_loss_cls: 0.0118  grounding_loss_reg: 3.2520  instance_segmentation_loss_cls: 0.0429  instance_segmentation_loss_reg: 0.3719  instance_segmentation_loss_poly: 1.0401
2024/01/03 14:14:07 - mmengine - INFO - Iter(train) [ 85500/640000]  base_lr: 1.9132e-04 lr: 1.9132e-05  eta: 9 days, 0:15:59  time: 1.4577  data_time: 0.0257  memory: 25629  grad_norm: 2.6598  loss: 1.4974  caption_loss_cls: 2.4774  detection_loss_cls: 0.0424  detection_loss_reg: 0.3664  semantic_segmentation_loss_cls: 0.0118  grounding_loss_reg: 3.2550  instance_segmentation_loss_cls: 0.0430  instance_segmentation_loss_reg: 0.3717  instance_segmentation_loss_poly: 1.0396
2024/01/03 14:26:16 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 14:26:16 - mmengine - INFO - Iter(train) [ 86000/640000]  base_lr: 1.9122e-04 lr: 1.9122e-05  eta: 9 days, 0:11:57  time: 1.4641  data_time: 0.0259  memory: 25629  grad_norm: 2.6388  loss: 1.5039  caption_loss_cls: 2.4859  detection_loss_cls: 0.0423  detection_loss_reg: 0.3669  semantic_segmentation_loss_cls: 0.0118  grounding_loss_reg: 3.2522  instance_segmentation_loss_cls: 0.0431  instance_segmentation_loss_reg: 0.3728  instance_segmentation_loss_poly: 1.0408
2024/01/03 14:26:16 - mmengine - INFO - Saving checkpoint at 86000 iterations
2024/01/03 14:38:10 - mmengine - INFO - Iter(train) [ 86500/640000]  base_lr: 1.9112e-04 lr: 1.9112e-05  eta: 9 days, 0:03:31  time: 1.4132  data_time: 0.0259  memory: 25629  grad_norm: 2.6642  loss: 1.5151  caption_loss_cls: 2.4858  detection_loss_cls: 0.0419  detection_loss_reg: 0.3655  semantic_segmentation_loss_cls: 0.0118  grounding_loss_reg: 3.2449  instance_segmentation_loss_cls: 0.0430  instance_segmentation_loss_reg: 0.3725  instance_segmentation_loss_poly: 1.0404
2024/01/03 14:49:38 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 14:49:38 - mmengine - INFO - Iter(train) [ 87000/640000]  base_lr: 1.9102e-04 lr: 1.9102e-05  eta: 8 days, 23:47:41  time: 1.4134  data_time: 0.0260  memory: 25629  grad_norm: 2.6655  loss: 1.5313  caption_loss_cls: 2.4848  detection_loss_cls: 0.0419  detection_loss_reg: 0.3661  semantic_segmentation_loss_cls: 0.0118  grounding_loss_reg: 3.2455  instance_segmentation_loss_cls: 0.0430  instance_segmentation_loss_reg: 0.3732  instance_segmentation_loss_poly: 1.0407
2024/01/03 15:01:19 - mmengine - INFO - Iter(train) [ 87500/640000]  base_lr: 1.9092e-04 lr: 1.9092e-05  eta: 8 days, 23:35:33  time: 1.4134  data_time: 0.0260  memory: 25629  grad_norm: 2.6447  loss: 1.5386  caption_loss_cls: 2.4861  detection_loss_cls: 0.0417  detection_loss_reg: 0.3646  semantic_segmentation_loss_cls: 0.0118  grounding_loss_reg: 3.2407  instance_segmentation_loss_cls: 0.0429  instance_segmentation_loss_reg: 0.3724  instance_segmentation_loss_poly: 1.0391
2024/01/03 15:12:40 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 15:12:40 - mmengine - INFO - Iter(train) [ 88000/640000]  base_lr: 1.9081e-04 lr: 1.9081e-05  eta: 8 days, 23:17:58  time: 1.3970  data_time: 0.0258  memory: 25629  grad_norm: 2.6763  loss: 1.5401  caption_loss_cls: 2.4877  detection_loss_cls: 0.0416  detection_loss_reg: 0.3646  semantic_segmentation_loss_cls: 0.0118  grounding_loss_reg: 3.2392  instance_segmentation_loss_cls: 0.0429  instance_segmentation_loss_reg: 0.3720  instance_segmentation_loss_poly: 1.0386
2024/01/03 15:12:40 - mmengine - INFO - Saving checkpoint at 88000 iterations
2024/01/03 15:24:30 - mmengine - INFO - Iter(train) [ 88500/640000]  base_lr: 1.9071e-04 lr: 1.9071e-05  eta: 8 days, 23:08:21  time: 1.3985  data_time: 0.0259  memory: 25629  grad_norm: 2.6559  loss: 1.5440  caption_loss_cls: 2.4893  detection_loss_cls: 0.0417  detection_loss_reg: 0.3657  semantic_segmentation_loss_cls: 0.0118  grounding_loss_reg: 3.2348  instance_segmentation_loss_cls: 0.0426  instance_segmentation_loss_reg: 0.3711  instance_segmentation_loss_poly: 1.0366
2024/01/03 15:35:59 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 15:35:59 - mmengine - INFO - Iter(train) [ 89000/640000]  base_lr: 1.9061e-04 lr: 1.9061e-05  eta: 8 days, 22:53:11  time: 1.3935  data_time: 0.0259  memory: 25629  grad_norm: 2.6500  loss: 1.5303  caption_loss_cls: 2.4810  detection_loss_cls: 0.0417  detection_loss_reg: 0.3656  semantic_segmentation_loss_cls: 0.0118  grounding_loss_reg: 3.2296  instance_segmentation_loss_cls: 0.0427  instance_segmentation_loss_reg: 0.3713  instance_segmentation_loss_poly: 1.0370
2024/01/03 15:47:33 - mmengine - INFO - Iter(train) [ 89500/640000]  base_lr: 1.9050e-04 lr: 1.9050e-05  eta: 8 days, 22:39:35  time: 1.4014  data_time: 0.0259  memory: 25629  grad_norm: 2.6216  loss: 1.5198  caption_loss_cls: 2.4782  detection_loss_cls: 0.0418  detection_loss_reg: 0.3673  semantic_segmentation_loss_cls: 0.0118  grounding_loss_reg: 3.2235  instance_segmentation_loss_cls: 0.0425  instance_segmentation_loss_reg: 0.3698  instance_segmentation_loss_poly: 1.0344
2024/01/03 15:59:09 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 15:59:09 - mmengine - INFO - Iter(train) [ 90000/640000]  base_lr: 1.9040e-04 lr: 1.9040e-05  eta: 8 days, 22:26:19  time: 1.3931  data_time: 0.0258  memory: 25629  grad_norm: 2.6596  loss: 1.5197  caption_loss_cls: 2.4714  detection_loss_cls: 0.0414  detection_loss_reg: 0.3652  semantic_segmentation_loss_cls: 0.0117  grounding_loss_reg: 3.2226  instance_segmentation_loss_cls: 0.0425  instance_segmentation_loss_reg: 0.3692  instance_segmentation_loss_poly: 1.0345
2024/01/03 15:59:09 - mmengine - INFO - Saving checkpoint at 90000 iterations
2024/01/03 16:11:18 - mmengine - INFO - Iter(train) [ 90500/640000]  base_lr: 1.9029e-04 lr: 1.9029e-05  eta: 8 days, 22:21:27  time: 1.3969  data_time: 0.0259  memory: 25629  grad_norm: 2.6627  loss: 1.5291  caption_loss_cls: 2.4726  detection_loss_cls: 0.0415  detection_loss_reg: 0.3665  semantic_segmentation_loss_cls: 0.0116  grounding_loss_reg: 3.2176  instance_segmentation_loss_cls: 0.0426  instance_segmentation_loss_reg: 0.3700  instance_segmentation_loss_poly: 1.0349
2024/01/03 16:23:14 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 16:23:14 - mmengine - INFO - Iter(train) [ 91000/640000]  base_lr: 1.9019e-04 lr: 1.9019e-05  eta: 8 days, 22:12:59  time: 1.4038  data_time: 0.0259  memory: 25629  grad_norm: 2.6360  loss: 1.5171  caption_loss_cls: 2.4758  detection_loss_cls: 0.0417  detection_loss_reg: 0.3693  semantic_segmentation_loss_cls: 0.0116  grounding_loss_reg: 3.2160  instance_segmentation_loss_cls: 0.0427  instance_segmentation_loss_reg: 0.3710  instance_segmentation_loss_poly: 1.0372
2024/01/03 16:34:44 - mmengine - INFO - Iter(train) [ 91500/640000]  base_lr: 1.9008e-04 lr: 1.9008e-05  eta: 8 days, 21:58:19  time: 1.4011  data_time: 0.0258  memory: 25629  grad_norm: 2.6487  loss: 1.5183  caption_loss_cls: 2.4835  detection_loss_cls: 0.0418  detection_loss_reg: 0.3702  semantic_segmentation_loss_cls: 0.0116  grounding_loss_reg: 3.2096  instance_segmentation_loss_cls: 0.0428  instance_segmentation_loss_reg: 0.3696  instance_segmentation_loss_poly: 1.0339
2024/01/03 16:46:04 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 16:46:04 - mmengine - INFO - Iter(train) [ 92000/640000]  base_lr: 1.8998e-04 lr: 1.8998e-05  eta: 8 days, 21:41:20  time: 1.4010  data_time: 0.0257  memory: 25629  grad_norm: 2.6522  loss: 1.5082  caption_loss_cls: 2.4786  detection_loss_cls: 0.0414  detection_loss_reg: 0.3676  semantic_segmentation_loss_cls: 0.0116  grounding_loss_reg: 3.2121  instance_segmentation_loss_cls: 0.0425  instance_segmentation_loss_reg: 0.3692  instance_segmentation_loss_poly: 1.0324
2024/01/03 16:46:04 - mmengine - INFO - Saving checkpoint at 92000 iterations
2024/01/03 16:58:23 - mmengine - INFO - Iter(train) [ 92500/640000]  base_lr: 1.8987e-04 lr: 1.8987e-05  eta: 8 days, 21:38:14  time: 1.4081  data_time: 0.0258  memory: 25629  grad_norm: 2.6519  loss: 1.4985  caption_loss_cls: 2.4842  detection_loss_cls: 0.0413  detection_loss_reg: 0.3662  semantic_segmentation_loss_cls: 0.0115  grounding_loss_reg: 3.2055  instance_segmentation_loss_cls: 0.0424  instance_segmentation_loss_reg: 0.3689  instance_segmentation_loss_poly: 1.0324
2024/01/03 17:09:32 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 17:09:32 - mmengine - INFO - Iter(train) [ 93000/640000]  base_lr: 1.8976e-04 lr: 1.8976e-05  eta: 8 days, 21:18:47  time: 1.4031  data_time: 0.0256  memory: 25629  grad_norm: 2.7079  loss: 1.5107  caption_loss_cls: 2.4821  detection_loss_cls: 0.0412  detection_loss_reg: 0.3669  semantic_segmentation_loss_cls: 0.0115  grounding_loss_reg: 3.2055  instance_segmentation_loss_cls: 0.0424  instance_segmentation_loss_reg: 0.3688  instance_segmentation_loss_poly: 1.0322
2024/01/03 17:21:21 - mmengine - INFO - Iter(train) [ 93500/640000]  base_lr: 1.8965e-04 lr: 1.8965e-05  eta: 8 days, 21:08:36  time: 1.4066  data_time: 0.0257  memory: 25629  grad_norm: 2.7029  loss: 1.4993  caption_loss_cls: 2.4826  detection_loss_cls: 0.0412  detection_loss_reg: 0.3663  semantic_segmentation_loss_cls: 0.0115  grounding_loss_reg: 3.2000  instance_segmentation_loss_cls: 0.0426  instance_segmentation_loss_reg: 0.3700  instance_segmentation_loss_poly: 1.0342
2024/01/03 17:33:05 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 17:33:05 - mmengine - INFO - Iter(train) [ 94000/640000]  base_lr: 1.8954e-04 lr: 1.8954e-05  eta: 8 days, 20:57:28  time: 1.4088  data_time: 0.0257  memory: 25629  grad_norm: 2.6964  loss: 1.4971  caption_loss_cls: 2.4794  detection_loss_cls: 0.0412  detection_loss_reg: 0.3659  semantic_segmentation_loss_cls: 0.0114  grounding_loss_reg: 3.1961  instance_segmentation_loss_cls: 0.0427  instance_segmentation_loss_reg: 0.3713  instance_segmentation_loss_poly: 1.0358
2024/01/03 17:33:05 - mmengine - INFO - Saving checkpoint at 94000 iterations
2024/01/03 17:44:55 - mmengine - INFO - Iter(train) [ 94500/640000]  base_lr: 1.8943e-04 lr: 1.8943e-05  eta: 8 days, 20:47:28  time: 1.4039  data_time: 0.0255  memory: 25629  grad_norm: 2.6933  loss: 1.4836  caption_loss_cls: 2.4784  detection_loss_cls: 0.0413  detection_loss_reg: 0.3670  semantic_segmentation_loss_cls: 0.0114  grounding_loss_reg: 3.2003  instance_segmentation_loss_cls: 0.0424  instance_segmentation_loss_reg: 0.3685  instance_segmentation_loss_poly: 1.0306
2024/01/03 17:56:15 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 17:56:15 - mmengine - INFO - Iter(train) [ 95000/640000]  base_lr: 1.8932e-04 lr: 1.8932e-05  eta: 8 days, 20:30:45  time: 1.3950  data_time: 0.0253  memory: 25629  grad_norm: 2.7215  loss: 1.4875  caption_loss_cls: 2.4799  detection_loss_cls: 0.0414  detection_loss_reg: 0.3683  semantic_segmentation_loss_cls: 0.0114  grounding_loss_reg: 3.1983  instance_segmentation_loss_cls: 0.0422  instance_segmentation_loss_reg: 0.3688  instance_segmentation_loss_poly: 1.0298
2024/01/03 18:07:46 - mmengine - INFO - Iter(train) [ 95500/640000]  base_lr: 1.8921e-04 lr: 1.8921e-05  eta: 8 days, 20:16:43  time: 1.3953  data_time: 0.0254  memory: 25629  grad_norm: 2.7038  loss: 1.4862  caption_loss_cls: 2.4787  detection_loss_cls: 0.0413  detection_loss_reg: 0.3667  semantic_segmentation_loss_cls: 0.0114  grounding_loss_reg: 3.1926  instance_segmentation_loss_cls: 0.0424  instance_segmentation_loss_reg: 0.3698  instance_segmentation_loss_poly: 1.0321
2024/01/03 18:19:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 18:19:11 - mmengine - INFO - Iter(train) [ 96000/640000]  base_lr: 1.8910e-04 lr: 1.8910e-05  eta: 8 days, 20:01:24  time: 1.3964  data_time: 0.0255  memory: 25629  grad_norm: 2.6831  loss: 1.4945  caption_loss_cls: 2.4802  detection_loss_cls: 0.0411  detection_loss_reg: 0.3644  semantic_segmentation_loss_cls: 0.0114  grounding_loss_reg: 3.1910  instance_segmentation_loss_cls: 0.0422  instance_segmentation_loss_reg: 0.3693  instance_segmentation_loss_poly: 1.0303
2024/01/03 18:19:11 - mmengine - INFO - Saving checkpoint at 96000 iterations
2024/01/03 18:31:16 - mmengine - INFO - Iter(train) [ 96500/640000]  base_lr: 1.8899e-04 lr: 1.8899e-05  eta: 8 days, 19:54:45  time: 1.3932  data_time: 0.0255  memory: 25629  grad_norm: 2.6667  loss: 1.4965  caption_loss_cls: 2.4777  detection_loss_cls: 0.0412  detection_loss_reg: 0.3657  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1870  instance_segmentation_loss_cls: 0.0421  instance_segmentation_loss_reg: 0.3704  instance_segmentation_loss_poly: 1.0323
2024/01/03 18:43:05 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 18:43:05 - mmengine - INFO - Iter(train) [ 97000/640000]  base_lr: 1.8888e-04 lr: 1.8888e-05  eta: 8 days, 19:44:25  time: 1.4030  data_time: 0.0256  memory: 25629  grad_norm: 2.6440  loss: 1.4987  caption_loss_cls: 2.4828  detection_loss_cls: 0.0410  detection_loss_reg: 0.3637  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1887  instance_segmentation_loss_cls: 0.0420  instance_segmentation_loss_reg: 0.3686  instance_segmentation_loss_poly: 1.0289
2024/01/03 18:54:43 - mmengine - INFO - Iter(train) [ 97500/640000]  base_lr: 1.8876e-04 lr: 1.8876e-05  eta: 8 days, 19:32:02  time: 1.4005  data_time: 0.0255  memory: 25629  grad_norm: 2.6360  loss: 1.5065  caption_loss_cls: 2.4796  detection_loss_cls: 0.0410  detection_loss_reg: 0.3642  semantic_segmentation_loss_cls: 0.0114  grounding_loss_reg: 3.1923  instance_segmentation_loss_cls: 0.0421  instance_segmentation_loss_reg: 0.3705  instance_segmentation_loss_poly: 1.0328
2024/01/03 19:06:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 19:06:31 - mmengine - INFO - Iter(train) [ 98000/640000]  base_lr: 1.8865e-04 lr: 1.8865e-05  eta: 8 days, 19:21:29  time: 1.4012  data_time: 0.0255  memory: 25629  grad_norm: 2.6090  loss: 1.5016  caption_loss_cls: 2.4771  detection_loss_cls: 0.0412  detection_loss_reg: 0.3661  semantic_segmentation_loss_cls: 0.0115  grounding_loss_reg: 3.1881  instance_segmentation_loss_cls: 0.0421  instance_segmentation_loss_reg: 0.3700  instance_segmentation_loss_poly: 1.0316
2024/01/03 19:06:31 - mmengine - INFO - Saving checkpoint at 98000 iterations
2024/01/03 19:18:49 - mmengine - INFO - Iter(train) [ 98500/640000]  base_lr: 1.8854e-04 lr: 1.8854e-05  eta: 8 days, 19:17:08  time: 1.4083  data_time: 0.0258  memory: 25629  grad_norm: 2.5738  loss: 1.4938  caption_loss_cls: 2.4776  detection_loss_cls: 0.0412  detection_loss_reg: 0.3674  semantic_segmentation_loss_cls: 0.0114  grounding_loss_reg: 3.1866  instance_segmentation_loss_cls: 0.0422  instance_segmentation_loss_reg: 0.3718  instance_segmentation_loss_poly: 1.0356
2024/01/03 19:30:14 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 19:30:14 - mmengine - INFO - Iter(train) [ 99000/640000]  base_lr: 1.8842e-04 lr: 1.8842e-05  eta: 8 days, 19:01:57  time: 1.4097  data_time: 0.0257  memory: 25629  grad_norm: 2.5795  loss: 1.4907  caption_loss_cls: 2.4796  detection_loss_cls: 0.0410  detection_loss_reg: 0.3659  semantic_segmentation_loss_cls: 0.0114  grounding_loss_reg: 3.1836  instance_segmentation_loss_cls: 0.0420  instance_segmentation_loss_reg: 0.3709  instance_segmentation_loss_poly: 1.0328
2024/01/03 19:42:14 - mmengine - INFO - Iter(train) [ 99500/640000]  base_lr: 1.8831e-04 lr: 1.8831e-05  eta: 8 days, 18:53:47  time: 1.4169  data_time: 0.0259  memory: 25629  grad_norm: 2.5717  loss: 1.4892  caption_loss_cls: 2.4799  detection_loss_cls: 0.0408  detection_loss_reg: 0.3648  semantic_segmentation_loss_cls: 0.0114  grounding_loss_reg: 3.1778  instance_segmentation_loss_cls: 0.0419  instance_segmentation_loss_reg: 0.3717  instance_segmentation_loss_poly: 1.0336
2024/01/03 19:53:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 19:53:44 - mmengine - INFO - Iter(train) [100000/640000]  base_lr: 1.8819e-04 lr: 1.8819e-05  eta: 8 days, 18:39:38  time: 1.4181  data_time: 0.0259  memory: 25629  grad_norm: 2.5958  loss: 1.4885  caption_loss_cls: 2.4746  detection_loss_cls: 0.0410  detection_loss_reg: 0.3675  semantic_segmentation_loss_cls: 0.0114  grounding_loss_reg: 3.1736  instance_segmentation_loss_cls: 0.0419  instance_segmentation_loss_reg: 0.3712  instance_segmentation_loss_poly: 1.0333
2024/01/03 19:53:44 - mmengine - INFO - Saving checkpoint at 100000 iterations
2024/01/03 20:05:36 - mmengine - INFO - Evaluating bbox...
2024/01/03 20:06:33 - mmengine - INFO - bbox_mAP_copypaste: 0.447 0.632 0.496 0.303 0.507 0.572
2024/01/03 20:06:33 - mmengine - INFO - Evaluating segm...
2024/01/03 20:07:45 - mmengine - INFO - segm_mAP_copypaste: 0.283 0.531 0.270 0.152 0.333 0.442
2024/01/03 20:09:53 - mmengine - INFO - Evaluating bbox...
2024/01/03 20:10:51 - mmengine - INFO - bbox_mAP_copypaste: 0.447 0.633 0.495 0.303 0.507 0.573
2024/01/03 20:16:42 - mmengine - INFO - per class results:
2024/01/03 20:16:42 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 78.33 |  89.4 |
|       building      | 82.24 | 92.28 |
|         sky         | 92.92 | 97.55 |
|        floor        | 82.07 |  91.3 |
|         tree        | 72.27 | 88.74 |
|       ceiling       | 85.13 | 95.09 |
|         road        |  84.5 | 88.86 |
|         bed         | 88.82 | 94.92 |
|      windowpane     | 64.03 | 80.23 |
|        grass        | 69.67 | 82.93 |
|       cabinet       | 60.35 | 74.68 |
|       sidewalk      | 64.63 | 85.44 |
|        person       | 78.66 | 86.97 |
|        earth        | 37.08 | 50.75 |
|         door        | 53.66 | 70.38 |
|        table        | 61.46 |  76.3 |
|       mountain      | 56.51 | 73.86 |
|        plant        | 51.14 | 61.96 |
|       curtain       | 73.01 | 84.41 |
|        chair        | 57.48 | 68.74 |
|         car         |  83.3 | 90.98 |
|        water        | 52.22 | 64.48 |
|       painting      | 73.41 | 82.46 |
|         sofa        | 66.88 | 80.88 |
|        shelf        | 36.27 | 50.03 |
|        house        | 42.43 | 54.27 |
|         sea         | 54.11 | 67.61 |
|        mirror       | 65.55 | 71.42 |
|         rug         | 66.36 | 75.68 |
|        field        | 28.48 | 33.17 |
|       armchair      | 46.82 | 67.16 |
|         seat        | 62.91 | 79.49 |
|        fence        | 42.94 | 51.07 |
|         desk        | 48.64 | 67.59 |
|         rock        | 50.73 | 64.52 |
|       wardrobe      | 46.62 | 65.12 |
|         lamp        | 58.45 | 65.56 |
|       bathtub       |  79.7 | 85.69 |
|       railing       | 36.98 | 50.58 |
|       cushion       | 56.32 | 67.57 |
|         base        | 19.82 | 22.39 |
|         box         | 26.42 | 34.11 |
|        column       | 54.72 | 64.55 |
|      signboard      | 33.65 | 61.62 |
|   chest of drawers  | 39.35 | 49.51 |
|       counter       | 21.51 | 27.63 |
|         sand        |  40.9 | 75.04 |
|         sink        | 72.46 | 80.67 |
|      skyscraper     | 46.21 | 57.53 |
|      fireplace      | 71.82 | 87.03 |
|     refrigerator    | 73.09 | 88.29 |
|      grandstand     | 45.84 | 82.17 |
|         path        | 24.56 | 38.05 |
|        stairs       | 39.81 | 48.46 |
|        runway       | 70.89 |  92.0 |
|         case        | 52.99 | 73.92 |
|      pool table     | 92.72 | 95.41 |
|        pillow       | 58.97 | 72.38 |
|     screen door     |  4.39 |  4.39 |
|       stairway      | 38.29 | 42.07 |
|        river        | 16.62 | 30.34 |
|        bridge       | 53.25 | 61.95 |
|       bookcase      | 31.83 | 56.52 |
|        blind        |  40.6 |  44.8 |
|     coffee table    | 60.19 | 82.19 |
|        toilet       | 83.66 | 87.68 |
|        flower       | 31.98 | 44.97 |
|         book        | 44.26 | 61.05 |
|         hill        |  6.0  |  6.75 |
|        bench        | 56.46 | 63.73 |
|      countertop     |  60.5 | 76.95 |
|        stove        | 72.76 | 78.83 |
|         palm        | 37.43 | 42.29 |
|    kitchen island   | 35.43 | 92.05 |
|       computer      | 73.32 | 87.39 |
|     swivel chair    |  44.8 | 58.95 |
|         boat        | 62.98 | 66.16 |
|         bar         | 42.22 | 54.05 |
|    arcade machine   | 67.59 | 79.21 |
|        hovel        | 35.33 | 40.41 |
|         bus         | 92.01 | 94.83 |
|        towel        | 62.03 | 77.14 |
|        light        | 39.32 | 42.74 |
|        truck        | 36.91 | 52.01 |
|        tower        | 20.42 | 33.26 |
|      chandelier     | 65.37 |  78.3 |
|        awning       | 21.62 | 29.64 |
|     streetlight     | 26.13 | 39.57 |
|        booth        | 38.34 | 67.56 |
| television receiver | 66.46 | 80.96 |
|       airplane      | 62.17 | 69.11 |
|      dirt track     |  9.49 | 23.01 |
|       apparel       | 26.32 | 36.98 |
|         pole        |  8.36 |  9.44 |
|         land        |  3.2  |  6.17 |
|      bannister      | 18.07 | 26.92 |
|      escalator      | 30.65 | 36.91 |
|       ottoman       | 46.31 | 63.47 |
|        bottle       | 20.03 | 23.05 |
|        buffet       | 53.49 | 66.46 |
|        poster       | 32.93 | 63.85 |
|        stage        | 11.11 | 16.67 |
|         van         | 34.98 | 43.84 |
|         ship        | 15.17 | 15.44 |
|       fountain      | 26.22 | 26.57 |
|    conveyer belt    | 48.98 | 93.32 |
|        canopy       | 42.86 | 47.84 |
|        washer       | 49.24 | 73.27 |
|      plaything      | 33.82 | 36.03 |
|    swimming pool    | 36.14 | 40.73 |
|        stool        | 39.25 | 50.41 |
|        barrel       | 21.35 | 63.36 |
|        basket       | 28.02 | 32.48 |
|      waterfall      | 73.22 | 78.35 |
|         tent        | 94.34 | 96.51 |
|         bag         | 24.15 |  38.0 |
|       minibike      | 68.24 | 73.81 |
|        cradle       | 81.46 | 94.85 |
|         oven        | 24.74 | 27.38 |
|         ball        | 39.58 | 46.36 |
|         food        | 50.37 | 61.39 |
|         step        | 19.04 | 22.43 |
|         tank        | 38.27 | 44.38 |
|      trade name     | 33.08 | 50.56 |
|      microwave      | 54.99 | 60.11 |
|         pot         | 44.92 | 51.62 |
|        animal       | 64.67 | 68.99 |
|       bicycle       | 57.25 | 73.69 |
|         lake        |  31.7 | 83.41 |
|      dishwasher     | 62.78 | 71.16 |
|        screen       | 60.23 | 88.97 |
|       blanket       | 22.12 | 25.98 |
|      sculpture      | 57.06 | 73.41 |
|         hood        | 57.33 | 60.21 |
|        sconce       |  41.2 | 51.29 |
|         vase        | 37.97 | 43.59 |
|    traffic light    | 29.18 | 33.32 |
|         tray        |  7.62 | 10.18 |
|        ashcan       | 37.47 | 62.96 |
|         fan         | 53.13 | 68.49 |
|         pier        | 31.71 | 41.95 |
|      crt screen     |  3.04 |  4.29 |
|        plate        | 53.88 | 75.15 |
|       monitor       | 56.98 |  67.0 |
|    bulletin board   | 21.46 | 26.14 |
|        shower       |  0.49 | 13.28 |
|       radiator      | 60.07 | 66.63 |
|        glass        | 15.37 | 16.73 |
|        clock        | 21.27 | 28.65 |
|         flag        | 29.42 | 31.72 |
+---------------------+-------+-------+
2024/01/03 20:16:54 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4470  coco/bbox_mAP_50: 0.6330  coco/bbox_mAP_75: 0.4950  coco/bbox_mAP_s: 0.3030  coco/bbox_mAP_m: 0.5070  coco/bbox_mAP_l: 0.5730  coco/segm_mAP: 0.2830  coco/segm_mAP_50: 0.5310  coco/segm_mAP_75: 0.2700  coco/segm_mAP_s: 0.1520  coco/segm_mAP_m: 0.3330  coco/segm_mAP_l: 0.4420  Bleu_1: 0.7270  Bleu_2: 0.5554  Bleu_3: 0.4098  Bleu_4: 0.2973  METEOR: 0.2515  ROUGE_L: 0.5355  CIDEr: 0.9523  SPICE: 0.1866  aAcc: 83.0000  mIoU: 47.3700  mAcc: 59.1900  visual-grounding/miou: 0.7259  visual-grounding/acc: 0.7978  data_time: 0.0124  time: 1.9219
2024/01/03 20:28:42 - mmengine - INFO - Iter(train) [100500/640000]  base_lr: 1.8808e-04 lr: 1.8808e-05  eta: 8 days, 18:29:32  time: 1.4145  data_time: 0.0193  memory: 34722  grad_norm: 2.5855  loss: 1.4712  caption_loss_cls: 2.4755  detection_loss_cls: 0.0409  detection_loss_reg: 0.3659  semantic_segmentation_loss_cls: 0.0114  grounding_loss_reg: 3.1715  instance_segmentation_loss_cls: 0.0417  instance_segmentation_loss_reg: 0.3699  instance_segmentation_loss_poly: 1.0304
2024/01/03 20:40:23 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 20:40:23 - mmengine - INFO - Iter(train) [101000/640000]  base_lr: 1.8796e-04 lr: 1.8796e-05  eta: 8 days, 18:17:31  time: 1.4126  data_time: 0.0192  memory: 25629  grad_norm: 2.5653  loss: 1.4590  caption_loss_cls: 2.4846  detection_loss_cls: 0.0406  detection_loss_reg: 0.3643  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1700  instance_segmentation_loss_cls: 0.0416  instance_segmentation_loss_reg: 0.3687  instance_segmentation_loss_poly: 1.0277
2024/01/03 20:51:53 - mmengine - INFO - Iter(train) [101500/640000]  base_lr: 1.8784e-04 lr: 1.8784e-05  eta: 8 days, 18:03:28  time: 1.4104  data_time: 0.0192  memory: 25629  grad_norm: 2.5995  loss: 1.4592  caption_loss_cls: 2.4841  detection_loss_cls: 0.0406  detection_loss_reg: 0.3631  semantic_segmentation_loss_cls: 0.0112  grounding_loss_reg: 3.1648  instance_segmentation_loss_cls: 0.0415  instance_segmentation_loss_reg: 0.3673  instance_segmentation_loss_poly: 1.0230
2024/01/03 21:03:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 21:03:52 - mmengine - INFO - Iter(train) [102000/640000]  base_lr: 1.8773e-04 lr: 1.8773e-05  eta: 8 days, 17:54:53  time: 1.4132  data_time: 0.0193  memory: 25629  grad_norm: 2.6106  loss: 1.4714  caption_loss_cls: 2.4870  detection_loss_cls: 0.0405  detection_loss_reg: 0.3644  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1658  instance_segmentation_loss_cls: 0.0416  instance_segmentation_loss_reg: 0.3681  instance_segmentation_loss_poly: 1.0229
2024/01/03 21:03:52 - mmengine - INFO - Saving checkpoint at 102000 iterations
2024/01/03 21:15:58 - mmengine - INFO - Iter(train) [102500/640000]  base_lr: 1.8761e-04 lr: 1.8761e-05  eta: 8 days, 17:47:31  time: 1.4101  data_time: 0.0192  memory: 25629  grad_norm: 2.6581  loss: 1.4855  caption_loss_cls: 2.4901  detection_loss_cls: 0.0404  detection_loss_reg: 0.3638  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1642  instance_segmentation_loss_cls: 0.0416  instance_segmentation_loss_reg: 0.3686  instance_segmentation_loss_poly: 1.0237
2024/01/03 21:27:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 21:27:52 - mmengine - INFO - Iter(train) [103000/640000]  base_lr: 1.8749e-04 lr: 1.8749e-05  eta: 8 days, 17:37:55  time: 1.4174  data_time: 0.0193  memory: 25629  grad_norm: 2.6419  loss: 1.4748  caption_loss_cls: 2.4942  detection_loss_cls: 0.0402  detection_loss_reg: 0.3622  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1652  instance_segmentation_loss_cls: 0.0415  instance_segmentation_loss_reg: 0.3681  instance_segmentation_loss_poly: 1.0207
2024/01/03 21:39:44 - mmengine - INFO - Iter(train) [103500/640000]  base_lr: 1.8737e-04 lr: 1.8737e-05  eta: 8 days, 17:27:50  time: 1.4153  data_time: 0.0191  memory: 25629  grad_norm: 2.6488  loss: 1.4549  caption_loss_cls: 2.5003  detection_loss_cls: 0.0404  detection_loss_reg: 0.3638  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1613  instance_segmentation_loss_cls: 0.0414  instance_segmentation_loss_reg: 0.3674  instance_segmentation_loss_poly: 1.0177
2024/01/03 21:51:40 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 21:51:40 - mmengine - INFO - Iter(train) [104000/640000]  base_lr: 1.8725e-04 lr: 1.8725e-05  eta: 8 days, 17:18:31  time: 1.4219  data_time: 0.0191  memory: 25629  grad_norm: 2.6153  loss: 1.4548  caption_loss_cls: 2.5096  detection_loss_cls: 0.0405  detection_loss_reg: 0.3651  semantic_segmentation_loss_cls: 0.0114  grounding_loss_reg: 3.1558  instance_segmentation_loss_cls: 0.0414  instance_segmentation_loss_reg: 0.3678  instance_segmentation_loss_poly: 1.0194
2024/01/03 21:51:40 - mmengine - INFO - Saving checkpoint at 104000 iterations
2024/01/03 22:03:57 - mmengine - INFO - Iter(train) [104500/640000]  base_lr: 1.8713e-04 lr: 1.8713e-05  eta: 8 days, 17:12:48  time: 1.4285  data_time: 0.0258  memory: 25629  grad_norm: 2.6476  loss: 1.4704  caption_loss_cls: 2.5111  detection_loss_cls: 0.0404  detection_loss_reg: 0.3643  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1553  instance_segmentation_loss_cls: 0.0413  instance_segmentation_loss_reg: 0.3676  instance_segmentation_loss_poly: 1.0192
2024/01/03 22:15:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 22:15:11 - mmengine - INFO - Iter(train) [105000/640000]  base_lr: 1.8701e-04 lr: 1.8701e-05  eta: 8 days, 16:55:54  time: 1.4217  data_time: 0.0258  memory: 25629  grad_norm: 2.6673  loss: 1.4830  caption_loss_cls: 2.5099  detection_loss_cls: 0.0405  detection_loss_reg: 0.3657  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1483  instance_segmentation_loss_cls: 0.0413  instance_segmentation_loss_reg: 0.3676  instance_segmentation_loss_poly: 1.0199
2024/01/03 22:26:43 - mmengine - INFO - Iter(train) [105500/640000]  base_lr: 1.8689e-04 lr: 1.8689e-05  eta: 8 days, 16:42:20  time: 1.4223  data_time: 0.0258  memory: 25629  grad_norm: 2.6525  loss: 1.4885  caption_loss_cls: 2.5096  detection_loss_cls: 0.0407  detection_loss_reg: 0.3673  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1442  instance_segmentation_loss_cls: 0.0411  instance_segmentation_loss_reg: 0.3670  instance_segmentation_loss_poly: 1.0174
2024/01/03 22:38:25 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 22:38:25 - mmengine - INFO - Iter(train) [106000/640000]  base_lr: 1.8677e-04 lr: 1.8677e-05  eta: 8 days, 16:30:23  time: 1.4180  data_time: 0.0257  memory: 25629  grad_norm: 2.6577  loss: 1.4716  caption_loss_cls: 2.5006  detection_loss_cls: 0.0405  detection_loss_reg: 0.3659  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1400  instance_segmentation_loss_cls: 0.0410  instance_segmentation_loss_reg: 0.3661  instance_segmentation_loss_poly: 1.0157
2024/01/03 22:38:25 - mmengine - INFO - Saving checkpoint at 106000 iterations
2024/01/03 22:50:15 - mmengine - INFO - Iter(train) [106500/640000]  base_lr: 1.8664e-04 lr: 1.8664e-05  eta: 8 days, 16:19:50  time: 1.4139  data_time: 0.0256  memory: 25629  grad_norm: 2.6654  loss: 1.4668  caption_loss_cls: 2.5039  detection_loss_cls: 0.0407  detection_loss_reg: 0.3674  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1310  instance_segmentation_loss_cls: 0.0411  instance_segmentation_loss_reg: 0.3672  instance_segmentation_loss_poly: 1.0162
2024/01/03 23:02:08 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 23:02:08 - mmengine - INFO - Iter(train) [107000/640000]  base_lr: 1.8652e-04 lr: 1.8652e-05  eta: 8 days, 16:09:48  time: 1.4137  data_time: 0.0256  memory: 25629  grad_norm: 2.6622  loss: 1.4689  caption_loss_cls: 2.4928  detection_loss_cls: 0.0411  detection_loss_reg: 0.3698  semantic_segmentation_loss_cls: 0.0113  grounding_loss_reg: 3.1318  instance_segmentation_loss_cls: 0.0411  instance_segmentation_loss_reg: 0.3666  instance_segmentation_loss_poly: 1.0157
2024/01/03 23:13:41 - mmengine - INFO - Iter(train) [107500/640000]  base_lr: 1.8640e-04 lr: 1.8640e-05  eta: 8 days, 15:56:33  time: 1.4092  data_time: 0.0257  memory: 25629  grad_norm: 2.6720  loss: 1.4752  caption_loss_cls: 2.4901  detection_loss_cls: 0.0410  detection_loss_reg: 0.3694  semantic_segmentation_loss_cls: 0.0112  grounding_loss_reg: 3.1263  instance_segmentation_loss_cls: 0.0409  instance_segmentation_loss_reg: 0.3648  instance_segmentation_loss_poly: 1.0113
2024/01/03 23:25:25 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 23:25:25 - mmengine - INFO - Iter(train) [108000/640000]  base_lr: 1.8627e-04 lr: 1.8627e-05  eta: 8 days, 15:44:53  time: 1.4059  data_time: 0.0257  memory: 25629  grad_norm: 2.6695  loss: 1.4588  caption_loss_cls: 2.4809  detection_loss_cls: 0.0410  detection_loss_reg: 0.3697  semantic_segmentation_loss_cls: 0.0112  grounding_loss_reg: 3.1230  instance_segmentation_loss_cls: 0.0410  instance_segmentation_loss_reg: 0.3661  instance_segmentation_loss_poly: 1.0140
2024/01/03 23:25:25 - mmengine - INFO - Saving checkpoint at 108000 iterations
2024/01/03 23:37:44 - mmengine - INFO - Iter(train) [108500/640000]  base_lr: 1.8615e-04 lr: 1.8615e-05  eta: 8 days, 15:39:03  time: 1.4065  data_time: 0.0256  memory: 25629  grad_norm: 2.6349  loss: 1.4388  caption_loss_cls: 2.4724  detection_loss_cls: 0.0408  detection_loss_reg: 0.3673  semantic_segmentation_loss_cls: 0.0112  grounding_loss_reg: 3.1205  instance_segmentation_loss_cls: 0.0411  instance_segmentation_loss_reg: 0.3663  instance_segmentation_loss_poly: 1.0150
2024/01/03 23:49:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/03 23:49:12 - mmengine - INFO - Iter(train) [109000/640000]  base_lr: 1.8602e-04 lr: 1.8602e-05  eta: 8 days, 15:24:47  time: 1.4100  data_time: 0.0256  memory: 25629  grad_norm: 2.6383  loss: 1.4297  caption_loss_cls: 2.4739  detection_loss_cls: 0.0407  detection_loss_reg: 0.3672  semantic_segmentation_loss_cls: 0.0112  grounding_loss_reg: 3.1163  instance_segmentation_loss_cls: 0.0410  instance_segmentation_loss_reg: 0.3649  instance_segmentation_loss_poly: 1.0109
2024/01/04 00:00:45 - mmengine - INFO - Iter(train) [109500/640000]  base_lr: 1.8590e-04 lr: 1.8590e-05  eta: 8 days, 15:11:25  time: 1.4101  data_time: 0.0256  memory: 25629  grad_norm: 2.6544  loss: 1.4272  caption_loss_cls: 2.4775  detection_loss_cls: 0.0407  detection_loss_reg: 0.3665  semantic_segmentation_loss_cls: 0.0112  grounding_loss_reg: 3.1174  instance_segmentation_loss_cls: 0.0408  instance_segmentation_loss_reg: 0.3634  instance_segmentation_loss_poly: 1.0075
2024/01/04 00:12:32 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/04 00:12:32 - mmengine - INFO - Iter(train) [110000/640000]  base_lr: 1.8577e-04 lr: 1.8577e-05  eta: 8 days, 15:00:22  time: 1.4115  data_time: 0.0257  memory: 25629  grad_norm: 2.7077  loss: 1.4437  caption_loss_cls: 2.4758  detection_loss_cls: 0.0407  detection_loss_reg: 0.3665  semantic_segmentation_loss_cls: 0.0112  grounding_loss_reg: 3.1183  instance_segmentation_loss_cls: 0.0407  instance_segmentation_loss_reg: 0.3636  instance_segmentation_loss_poly: 1.0069
2024/01/04 00:12:32 - mmengine - INFO - Saving checkpoint at 110000 iterations
2024/01/04 00:24:22 - mmengine - INFO - Iter(train) [110500/640000]  base_lr: 1.8565e-04 lr: 1.8565e-05  eta: 8 days, 14:49:44  time: 1.4116  data_time: 0.0259  memory: 25629  grad_norm: 2.7242  loss: 1.4613  caption_loss_cls: 2.4755  detection_loss_cls: 0.0406  detection_loss_reg: 0.3657  semantic_segmentation_loss_cls: 0.0112  grounding_loss_reg: 3.1151  instance_segmentation_loss_cls: 0.0404  instance_segmentation_loss_reg: 0.3628  instance_segmentation_loss_poly: 1.0041
2024/01/04 00:35:59 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/04 00:35:59 - mmengine - INFO - Iter(train) [111000/640000]  base_lr: 1.8552e-04 lr: 1.8552e-05  eta: 8 days, 14:37:05  time: 1.4076  data_time: 0.0257  memory: 25629  grad_norm: 2.7109  loss: 1.4560  caption_loss_cls: 2.4772  detection_loss_cls: 0.0408  detection_loss_reg: 0.3657  semantic_segmentation_loss_cls: 0.0112  grounding_loss_reg: 3.1146  instance_segmentation_loss_cls: 0.0403  instance_segmentation_loss_reg: 0.3613  instance_segmentation_loss_poly: 1.0003
2024/01/04 00:47:31 - mmengine - INFO - Iter(train) [111500/640000]  base_lr: 1.8539e-04 lr: 1.8539e-05  eta: 8 days, 14:23:37  time: 1.4071  data_time: 0.0257  memory: 25629  grad_norm: 2.7279  loss: 1.4705  caption_loss_cls: 2.4799  detection_loss_cls: 0.0407  detection_loss_reg: 0.3651  semantic_segmentation_loss_cls: 0.0112  grounding_loss_reg: 3.1140  instance_segmentation_loss_cls: 0.0402  instance_segmentation_loss_reg: 0.3621  instance_segmentation_loss_poly: 1.0021
2024/01/04 00:59:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240103_010759
2024/01/04 00:59:12 - mmengine - INFO - Iter(train) [112000/640000]  base_lr: 1.8526e-04 lr: 1.8526e-05  eta: 8 days, 14:11:37  time: 1.4066  data_time: 0.0258  memory: 25629  grad_norm: 2.7890  loss: 1.4840  caption_loss_cls: 2.4807  detection_loss_cls: 0.0407  detection_loss_reg: 0.3650  semantic_segmentation_loss_cls: 0.0111  grounding_loss_reg: 3.1046  instance_segmentation_loss_cls: 0.0403  instance_segmentation_loss_reg: 0.3629  instance_segmentation_loss_poly: 1.0055
2024/01/04 00:59:12 - mmengine - INFO - Saving checkpoint at 112000 iterations
2024/01/04 01:26:11 - mmengine - INFO - Iter(train) [112500/640000]  base_lr: 1.8514e-04 lr: 1.8514e-05  eta: 8 days, 10:17:55  time: 1.3944  data_time: 0.0185  memory: 25565  grad_norm: 2.7903  loss: 1.4896  caption_loss_cls: 2.4775  detection_loss_cls: 0.0407  detection_loss_reg: 0.3665  semantic_segmentation_loss_cls: 0.0111  grounding_loss_reg: 3.1033  instance_segmentation_loss_cls: 0.0401  instance_segmentation_loss_reg: 0.3624  instance_segmentation_loss_poly: 1.0043
2024/01/04 01:37:25 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 01:37:25 - mmengine - INFO - Iter(train) [113000/640000]  base_lr: 1.8501e-04 lr: 1.8501e-05  eta: 8 days, 7:49:51  time: 1.3912  data_time: 0.0182  memory: 25565  grad_norm: 2.7908  loss: 1.4860  caption_loss_cls: 2.4685  detection_loss_cls: 0.0407  detection_loss_reg: 0.3671  semantic_segmentation_loss_cls: 0.0111  grounding_loss_reg: 3.1016  instance_segmentation_loss_cls: 0.0401  instance_segmentation_loss_reg: 0.3629  instance_segmentation_loss_poly: 1.0039
2024/01/04 01:48:47 - mmengine - INFO - Iter(train) [113500/640000]  base_lr: 1.8488e-04 lr: 1.8488e-05  eta: 8 days, 7:33:32  time: 1.3884  data_time: 0.0179  memory: 25565  grad_norm: 2.7743  loss: 1.4824  caption_loss_cls: 2.4663  detection_loss_cls: 0.0406  detection_loss_reg: 0.3665  semantic_segmentation_loss_cls: 0.0111  grounding_loss_reg: 3.1024  instance_segmentation_loss_cls: 0.0397  instance_segmentation_loss_reg: 0.3612  instance_segmentation_loss_poly: 0.9991
2024/01/04 02:00:40 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 02:00:40 - mmengine - INFO - Iter(train) [114000/640000]  base_lr: 1.8475e-04 lr: 1.8475e-05  eta: 8 days, 9:34:40  time: 1.3898  data_time: 0.0177  memory: 25565  grad_norm: 2.7589  loss: 1.4800  caption_loss_cls: 2.4689  detection_loss_cls: 0.0404  detection_loss_reg: 0.3652  semantic_segmentation_loss_cls: 0.0111  grounding_loss_reg: 3.1002  instance_segmentation_loss_cls: 0.0396  instance_segmentation_loss_reg: 0.3616  instance_segmentation_loss_poly: 0.9998
2024/01/04 02:00:40 - mmengine - INFO - Saving checkpoint at 114000 iterations
2024/01/04 02:12:41 - mmengine - INFO - Iter(train) [114500/640000]  base_lr: 1.8462e-04 lr: 1.8462e-05  eta: 8 days, 11:13:45  time: 1.3926  data_time: 0.0167  memory: 25565  grad_norm: 2.7526  loss: 1.4644  caption_loss_cls: 2.4625  detection_loss_cls: 0.0402  detection_loss_reg: 0.3641  semantic_segmentation_loss_cls: 0.0111  grounding_loss_reg: 3.0929  instance_segmentation_loss_cls: 0.0399  instance_segmentation_loss_reg: 0.3635  instance_segmentation_loss_poly: 1.0033
2024/01/04 02:24:37 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 02:24:37 - mmengine - INFO - Iter(train) [115000/640000]  base_lr: 1.8449e-04 lr: 1.8449e-05  eta: 8 days, 11:57:22  time: 1.3971  data_time: 0.0165  memory: 25565  grad_norm: 2.7794  loss: 1.4679  caption_loss_cls: 2.4605  detection_loss_cls: 0.0404  detection_loss_reg: 0.3647  semantic_segmentation_loss_cls: 0.0110  grounding_loss_reg: 3.0888  instance_segmentation_loss_cls: 0.0398  instance_segmentation_loss_reg: 0.3622  instance_segmentation_loss_poly: 1.0010
2024/01/04 02:36:22 - mmengine - INFO - Iter(train) [115500/640000]  base_lr: 1.8435e-04 lr: 1.8435e-05  eta: 8 days, 12:01:09  time: 1.4006  data_time: 0.0164  memory: 25565  grad_norm: 2.7586  loss: 1.4594  caption_loss_cls: 2.4591  detection_loss_cls: 0.0402  detection_loss_reg: 0.3635  semantic_segmentation_loss_cls: 0.0110  grounding_loss_reg: 3.0876  instance_segmentation_loss_cls: 0.0395  instance_segmentation_loss_reg: 0.3605  instance_segmentation_loss_poly: 0.9962
2024/01/04 02:48:21 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 02:48:21 - mmengine - INFO - Iter(train) [116000/640000]  base_lr: 1.8422e-04 lr: 1.8422e-05  eta: 8 days, 12:29:37  time: 1.4049  data_time: 0.0161  memory: 25565  grad_norm: 2.6878  loss: 1.4413  caption_loss_cls: 2.4590  detection_loss_cls: 0.0402  detection_loss_reg: 0.3637  semantic_segmentation_loss_cls: 0.0110  grounding_loss_reg: 3.0867  instance_segmentation_loss_cls: 0.0396  instance_segmentation_loss_reg: 0.3615  instance_segmentation_loss_poly: 0.9972
2024/01/04 02:48:21 - mmengine - INFO - Saving checkpoint at 116000 iterations
2024/01/04 03:00:13 - mmengine - INFO - Iter(train) [116500/640000]  base_lr: 1.8409e-04 lr: 1.8409e-05  eta: 8 days, 12:35:47  time: 1.4103  data_time: 0.0224  memory: 25565  grad_norm: 2.7494  loss: 1.4553  caption_loss_cls: 2.4553  detection_loss_cls: 0.0398  detection_loss_reg: 0.3622  semantic_segmentation_loss_cls: 0.0109  grounding_loss_reg: 3.0872  instance_segmentation_loss_cls: 0.0395  instance_segmentation_loss_reg: 0.3614  instance_segmentation_loss_poly: 0.9977
2024/01/04 03:12:19 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 03:12:19 - mmengine - INFO - Iter(train) [117000/640000]  base_lr: 1.8396e-04 lr: 1.8396e-05  eta: 8 days, 13:03:39  time: 1.4231  data_time: 0.0224  memory: 25565  grad_norm: 2.7230  loss: 1.4373  caption_loss_cls: 2.4533  detection_loss_cls: 0.0397  detection_loss_reg: 0.3626  semantic_segmentation_loss_cls: 0.0110  grounding_loss_reg: 3.0850  instance_segmentation_loss_cls: 0.0393  instance_segmentation_loss_reg: 0.3597  instance_segmentation_loss_poly: 0.9934
2024/01/04 03:25:08 - mmengine - INFO - Iter(train) [117500/640000]  base_lr: 1.8382e-04 lr: 1.8382e-05  eta: 8 days, 14:32:09  time: 1.4450  data_time: 0.0226  memory: 25565  grad_norm: 2.7075  loss: 1.4420  caption_loss_cls: 2.4504  detection_loss_cls: 0.0399  detection_loss_reg: 0.3632  semantic_segmentation_loss_cls: 0.0108  grounding_loss_reg: 3.0784  instance_segmentation_loss_cls: 0.0393  instance_segmentation_loss_reg: 0.3607  instance_segmentation_loss_poly: 0.9949
2024/01/04 03:36:47 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 03:36:47 - mmengine - INFO - Iter(train) [118000/640000]  base_lr: 1.8369e-04 lr: 1.8369e-05  eta: 8 days, 14:01:48  time: 1.4415  data_time: 0.0226  memory: 25565  grad_norm: 2.6986  loss: 1.4348  caption_loss_cls: 2.4451  detection_loss_cls: 0.0396  detection_loss_reg: 0.3612  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0762  instance_segmentation_loss_cls: 0.0393  instance_segmentation_loss_reg: 0.3611  instance_segmentation_loss_poly: 0.9952
2024/01/04 03:36:47 - mmengine - INFO - Saving checkpoint at 118000 iterations
2024/01/04 03:48:54 - mmengine - INFO - Iter(train) [118500/640000]  base_lr: 1.8355e-04 lr: 1.8355e-05  eta: 8 days, 14:12:24  time: 1.4430  data_time: 0.0223  memory: 25565  grad_norm: 2.6627  loss: 1.4226  caption_loss_cls: 2.4432  detection_loss_cls: 0.0394  detection_loss_reg: 0.3600  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0747  instance_segmentation_loss_cls: 0.0389  instance_segmentation_loss_reg: 0.3587  instance_segmentation_loss_poly: 0.9898
2024/01/04 04:00:54 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 04:00:54 - mmengine - INFO - Iter(train) [119000/640000]  base_lr: 1.8342e-04 lr: 1.8342e-05  eta: 8 days, 14:10:08  time: 1.4441  data_time: 0.0222  memory: 25565  grad_norm: 2.6526  loss: 1.4247  caption_loss_cls: 2.4418  detection_loss_cls: 0.0395  detection_loss_reg: 0.3610  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0760  instance_segmentation_loss_cls: 0.0391  instance_segmentation_loss_reg: 0.3588  instance_segmentation_loss_poly: 0.9897
2024/01/04 04:12:19 - mmengine - INFO - Iter(train) [119500/640000]  base_lr: 1.8328e-04 lr: 1.8328e-05  eta: 8 days, 13:26:31  time: 1.4390  data_time: 0.0222  memory: 25565  grad_norm: 2.6821  loss: 1.4288  caption_loss_cls: 2.4381  detection_loss_cls: 0.0394  detection_loss_reg: 0.3598  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0728  instance_segmentation_loss_cls: 0.0391  instance_segmentation_loss_reg: 0.3586  instance_segmentation_loss_poly: 0.9881
2024/01/04 04:24:14 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 04:24:14 - mmengine - INFO - Iter(train) [120000/640000]  base_lr: 1.8315e-04 lr: 1.8315e-05  eta: 8 days, 13:19:12  time: 1.4380  data_time: 0.0222  memory: 25565  grad_norm: 2.6743  loss: 1.4397  caption_loss_cls: 2.4413  detection_loss_cls: 0.0390  detection_loss_reg: 0.3570  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0673  instance_segmentation_loss_cls: 0.0391  instance_segmentation_loss_reg: 0.3598  instance_segmentation_loss_poly: 0.9899
2024/01/04 04:24:14 - mmengine - INFO - Saving checkpoint at 120000 iterations
2024/01/04 04:35:40 - mmengine - INFO - Evaluating bbox...
2024/01/04 04:36:38 - mmengine - INFO - bbox_mAP_copypaste: 0.460 0.645 0.510 0.315 0.515 0.581
2024/01/04 04:36:38 - mmengine - INFO - Evaluating segm...
2024/01/04 04:37:51 - mmengine - INFO - segm_mAP_copypaste: 0.292 0.548 0.280 0.163 0.339 0.442
2024/01/04 04:40:00 - mmengine - INFO - Evaluating bbox...
2024/01/04 04:40:59 - mmengine - INFO - bbox_mAP_copypaste: 0.460 0.644 0.509 0.314 0.514 0.582
2024/01/04 04:46:21 - mmengine - INFO - per class results:
2024/01/04 04:46:21 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 78.33 | 90.37 |
|       building      | 80.35 |  86.2 |
|         sky         | 92.14 | 97.82 |
|        floor        | 80.95 | 90.19 |
|         tree        | 72.62 | 90.54 |
|       ceiling       |  83.9 | 90.42 |
|         road        |  84.7 |  90.7 |
|         bed         | 87.94 | 95.48 |
|      windowpane     | 63.35 | 77.28 |
|        grass        | 66.89 | 92.17 |
|       cabinet       | 59.24 | 72.37 |
|       sidewalk      |  69.0 | 80.07 |
|        person       | 80.73 | 90.38 |
|        earth        |  43.4 | 62.75 |
|         door        | 53.77 | 70.11 |
|        table        | 59.38 | 80.86 |
|       mountain      | 61.14 |  70.1 |
|        plant        | 49.45 |  55.1 |
|       curtain       | 73.46 | 86.09 |
|        chair        | 57.83 | 69.57 |
|         car         | 84.38 | 91.54 |
|        water        |  61.6 | 85.96 |
|       painting      | 72.54 | 81.28 |
|         sofa        | 66.24 | 77.27 |
|        shelf        | 39.07 | 52.87 |
|        house        | 41.22 | 83.26 |
|         sea         | 54.53 | 60.62 |
|        mirror       | 68.77 |  77.5 |
|         rug         | 65.28 | 76.49 |
|        field        | 20.58 | 23.97 |
|       armchair      | 45.27 | 71.63 |
|         seat        | 63.33 | 70.16 |
|        fence        | 40.99 | 54.11 |
|         desk        | 47.75 | 68.51 |
|         rock        | 54.44 | 70.13 |
|       wardrobe      | 50.31 | 63.85 |
|         lamp        |  59.3 | 72.71 |
|       bathtub       | 72.23 | 81.07 |
|       railing       | 34.57 | 45.33 |
|       cushion       |  49.8 | 55.05 |
|         base        | 27.52 | 50.08 |
|         box         | 28.94 |  40.0 |
|        column       | 50.39 | 69.08 |
|      signboard      | 35.58 |  46.5 |
|   chest of drawers  | 44.87 |  50.4 |
|       counter       | 32.88 | 60.23 |
|         sand        | 52.47 | 55.65 |
|         sink        | 73.71 | 81.66 |
|      skyscraper     | 44.63 | 55.23 |
|      fireplace      | 72.17 | 85.26 |
|     refrigerator    | 71.47 | 79.18 |
|      grandstand     | 40.94 | 83.59 |
|         path        | 17.61 |  28.8 |
|        stairs       | 37.13 | 42.42 |
|        runway       |  67.8 | 82.69 |
|         case        | 42.94 | 56.87 |
|      pool table     |  91.8 | 95.16 |
|        pillow       | 50.89 | 59.76 |
|     screen door     | 57.03 | 57.71 |
|       stairway      | 37.93 | 54.93 |
|        river        |  8.17 | 10.68 |
|        bridge       | 58.59 | 74.04 |
|       bookcase      |  34.1 | 53.04 |
|        blind        | 38.51 | 41.82 |
|     coffee table    | 61.06 | 75.08 |
|        toilet       |  83.7 | 89.49 |
|        flower       | 36.05 | 54.98 |
|         book        | 47.14 | 65.53 |
|         hill        |  9.22 | 22.42 |
|        bench        | 59.79 |  74.0 |
|      countertop     | 47.54 | 82.25 |
|        stove        | 75.57 | 81.52 |
|         palm        | 47.18 |  58.8 |
|    kitchen island   | 34.58 | 69.97 |
|       computer      | 73.45 |  85.6 |
|     swivel chair    |  45.0 | 65.35 |
|         boat        | 66.69 | 80.76 |
|         bar         | 39.15 | 45.54 |
|    arcade machine   | 60.99 | 63.21 |
|        hovel        |  7.03 |  7.34 |
|         bus         | 91.74 | 93.88 |
|        towel        | 62.73 | 74.32 |
|        light        | 50.99 | 68.64 |
|        truck        | 41.77 | 53.02 |
|        tower        | 27.88 | 43.74 |
|      chandelier     | 63.59 | 81.06 |
|        awning       | 29.01 | 37.95 |
|     streetlight     | 21.36 | 26.58 |
|        booth        | 31.93 | 35.16 |
| television receiver | 68.09 | 79.79 |
|       airplane      | 77.93 | 87.73 |
|      dirt track     |  0.0  |  0.0  |
|       apparel       | 29.03 | 42.41 |
|         pole        | 14.01 | 18.14 |
|         land        |  2.06 |  3.16 |
|      bannister      | 16.25 |  25.9 |
|      escalator      | 20.77 |  22.8 |
|       ottoman       |  39.4 | 72.92 |
|        bottle       | 20.31 | 24.12 |
|        buffet       | 26.98 | 27.22 |
|        poster       | 29.58 | 67.83 |
|        stage        | 11.84 | 17.34 |
|         van         | 39.31 | 48.99 |
|         ship        |  3.15 |  3.22 |
|       fountain      | 29.74 | 32.77 |
|    conveyer belt    | 76.99 | 84.59 |
|        canopy       | 30.64 | 44.84 |
|        washer       | 67.43 | 72.24 |
|      plaything      | 32.95 | 39.78 |
|    swimming pool    | 40.59 | 40.77 |
|        stool        | 44.32 |  56.7 |
|        barrel       | 29.19 |  64.6 |
|        basket       | 34.05 | 49.88 |
|      waterfall      | 74.45 | 89.91 |
|         tent        | 83.34 | 96.99 |
|         bag         |  24.4 | 31.94 |
|       minibike      | 72.08 | 81.61 |
|        cradle       | 77.75 | 89.07 |
|         oven        | 34.92 | 43.84 |
|         ball        | 47.47 | 57.73 |
|         food        | 37.77 | 38.79 |
|         step        | 15.43 | 22.56 |
|         tank        | 27.57 | 27.75 |
|      trade name     | 25.16 | 29.66 |
|      microwave      | 83.33 | 94.13 |
|         pot         | 47.58 | 58.51 |
|        animal       | 59.39 | 62.55 |
|       bicycle       | 55.69 | 71.38 |
|         lake        | 48.03 | 61.15 |
|      dishwasher     | 59.19 | 64.45 |
|        screen       | 75.93 | 89.26 |
|       blanket       | 22.82 | 26.73 |
|      sculpture      | 62.69 | 78.42 |
|         hood        | 63.72 | 67.65 |
|        sconce       | 38.48 | 52.08 |
|         vase        | 41.23 |  57.1 |
|    traffic light    |  34.1 | 53.84 |
|         tray        |  8.14 | 10.01 |
|        ashcan       | 37.87 | 51.76 |
|         fan         |  52.6 | 77.58 |
|         pier        | 30.56 | 42.37 |
|      crt screen     |  6.54 |  9.61 |
|        plate        | 55.35 | 69.83 |
|       monitor       | 34.58 | 39.19 |
|    bulletin board   | 38.75 | 55.09 |
|        shower       |  0.72 |  0.8  |
|       radiator      | 62.91 | 74.73 |
|        glass        | 16.83 | 18.15 |
|        clock        | 26.28 | 36.37 |
|         flag        |  30.6 | 35.66 |
+---------------------+-------+-------+
2024/01/04 04:46:34 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4600  coco/bbox_mAP_50: 0.6440  coco/bbox_mAP_75: 0.5090  coco/bbox_mAP_s: 0.3140  coco/bbox_mAP_m: 0.5140  coco/bbox_mAP_l: 0.5820  coco/segm_mAP: 0.2920  coco/segm_mAP_50: 0.5480  coco/segm_mAP_75: 0.2800  coco/segm_mAP_s: 0.1630  coco/segm_mAP_m: 0.3390  coco/segm_mAP_l: 0.4420  Bleu_1: 0.7286  Bleu_2: 0.5593  Bleu_3: 0.4165  Bleu_4: 0.3070  METEOR: 0.2569  ROUGE_L: 0.5400  CIDEr: 0.9828  SPICE: 0.1881  aAcc: 82.8800  mIoU: 48.1500  mAcc: 59.6600  visual-grounding/miou: 0.7437  visual-grounding/acc: 0.8163  data_time: 0.0269  time: 1.9186
2024/01/04 04:58:09 - mmengine - INFO - Iter(train) [120500/640000]  base_lr: 1.8301e-04 lr: 1.8301e-05  eta: 8 days, 12:53:00  time: 1.4342  data_time: 0.0169  memory: 34658  grad_norm: 2.6538  loss: 1.4413  caption_loss_cls: 2.4394  detection_loss_cls: 0.0391  detection_loss_reg: 0.3584  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0620  instance_segmentation_loss_cls: 0.0392  instance_segmentation_loss_reg: 0.3604  instance_segmentation_loss_poly: 0.9909
2024/01/04 05:09:43 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 05:09:43 - mmengine - INFO - Iter(train) [121000/640000]  base_lr: 1.8287e-04 lr: 1.8287e-05  eta: 8 days, 12:26:05  time: 1.4262  data_time: 0.0172  memory: 25565  grad_norm: 2.6533  loss: 1.4566  caption_loss_cls: 2.4329  detection_loss_cls: 0.0390  detection_loss_reg: 0.3571  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0610  instance_segmentation_loss_cls: 0.0393  instance_segmentation_loss_reg: 0.3617  instance_segmentation_loss_poly: 0.9929
2024/01/04 05:21:18 - mmengine - INFO - Iter(train) [121500/640000]  base_lr: 1.8274e-04 lr: 1.8274e-05  eta: 8 days, 12:01:57  time: 1.4078  data_time: 0.0171  memory: 25565  grad_norm: 2.6808  loss: 1.4368  caption_loss_cls: 2.4285  detection_loss_cls: 0.0391  detection_loss_reg: 0.3582  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0576  instance_segmentation_loss_cls: 0.0393  instance_segmentation_loss_reg: 0.3622  instance_segmentation_loss_poly: 0.9939
2024/01/04 05:32:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 05:32:53 - mmengine - INFO - Iter(train) [122000/640000]  base_lr: 1.8260e-04 lr: 1.8260e-05  eta: 8 days, 11:38:25  time: 1.4068  data_time: 0.0174  memory: 25565  grad_norm: 2.6783  loss: 1.4553  caption_loss_cls: 2.4328  detection_loss_cls: 0.0394  detection_loss_reg: 0.3594  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0550  instance_segmentation_loss_cls: 0.0393  instance_segmentation_loss_reg: 0.3624  instance_segmentation_loss_poly: 0.9947
2024/01/04 05:32:53 - mmengine - INFO - Saving checkpoint at 122000 iterations
2024/01/04 05:45:11 - mmengine - INFO - Iter(train) [122500/640000]  base_lr: 1.8246e-04 lr: 1.8246e-05  eta: 8 days, 11:51:15  time: 1.4094  data_time: 0.0192  memory: 25565  grad_norm: 2.6525  loss: 1.4482  caption_loss_cls: 2.4328  detection_loss_cls: 0.0393  detection_loss_reg: 0.3600  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0504  instance_segmentation_loss_cls: 0.0390  instance_segmentation_loss_reg: 0.3602  instance_segmentation_loss_poly: 0.9907
2024/01/04 05:56:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 05:56:44 - mmengine - INFO - Iter(train) [123000/640000]  base_lr: 1.8232e-04 lr: 1.8232e-05  eta: 8 days, 11:26:23  time: 1.4026  data_time: 0.0194  memory: 25565  grad_norm: 2.6481  loss: 1.4494  caption_loss_cls: 2.4302  detection_loss_cls: 0.0395  detection_loss_reg: 0.3611  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0498  instance_segmentation_loss_cls: 0.0390  instance_segmentation_loss_reg: 0.3606  instance_segmentation_loss_poly: 0.9922
2024/01/04 06:07:54 - mmengine - INFO - Iter(train) [123500/640000]  base_lr: 1.8218e-04 lr: 1.8218e-05  eta: 8 days, 10:46:21  time: 1.3991  data_time: 0.0196  memory: 25565  grad_norm: 2.6592  loss: 1.4562  caption_loss_cls: 2.4281  detection_loss_cls: 0.0394  detection_loss_reg: 0.3609  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0465  instance_segmentation_loss_cls: 0.0391  instance_segmentation_loss_reg: 0.3608  instance_segmentation_loss_poly: 0.9944
2024/01/04 06:19:43 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 06:19:43 - mmengine - INFO - Iter(train) [124000/640000]  base_lr: 1.8204e-04 lr: 1.8204e-05  eta: 8 days, 10:35:52  time: 1.3975  data_time: 0.0198  memory: 25565  grad_norm: 2.7018  loss: 1.4622  caption_loss_cls: 2.4183  detection_loss_cls: 0.0395  detection_loss_reg: 0.3605  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0444  instance_segmentation_loss_cls: 0.0392  instance_segmentation_loss_reg: 0.3621  instance_segmentation_loss_poly: 0.9959
2024/01/04 06:19:43 - mmengine - INFO - Saving checkpoint at 124000 iterations
2024/01/04 06:31:15 - mmengine - INFO - Iter(train) [124500/640000]  base_lr: 1.8190e-04 lr: 1.8190e-05  eta: 8 days, 10:14:12  time: 1.3965  data_time: 0.0261  memory: 25565  grad_norm: 2.7421  loss: 1.4687  caption_loss_cls: 2.4144  detection_loss_cls: 0.0396  detection_loss_reg: 0.3620  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0417  instance_segmentation_loss_cls: 0.0394  instance_segmentation_loss_reg: 0.3642  instance_segmentation_loss_poly: 1.0012
2024/01/04 06:43:01 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 06:43:01 - mmengine - INFO - Iter(train) [125000/640000]  base_lr: 1.8176e-04 lr: 1.8176e-05  eta: 8 days, 10:02:06  time: 1.3993  data_time: 0.0261  memory: 25565  grad_norm: 2.7348  loss: 1.4522  caption_loss_cls: 2.4124  detection_loss_cls: 0.0394  detection_loss_reg: 0.3600  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0381  instance_segmentation_loss_cls: 0.0395  instance_segmentation_loss_reg: 0.3643  instance_segmentation_loss_poly: 1.0001
2024/01/04 06:54:24 - mmengine - INFO - Iter(train) [125500/640000]  base_lr: 1.8162e-04 lr: 1.8162e-05  eta: 8 days, 9:35:39  time: 1.3962  data_time: 0.0262  memory: 25565  grad_norm: 2.7503  loss: 1.4620  caption_loss_cls: 2.4093  detection_loss_cls: 0.0391  detection_loss_reg: 0.3572  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0354  instance_segmentation_loss_cls: 0.0395  instance_segmentation_loss_reg: 0.3656  instance_segmentation_loss_poly: 1.0010
2024/01/04 07:05:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 07:05:49 - mmengine - INFO - Iter(train) [126000/640000]  base_lr: 1.8148e-04 lr: 1.8148e-05  eta: 8 days, 9:10:53  time: 1.3935  data_time: 0.0262  memory: 25565  grad_norm: 2.8454  loss: 1.4662  caption_loss_cls: 2.4110  detection_loss_cls: 0.0393  detection_loss_reg: 0.3584  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0393  instance_segmentation_loss_cls: 0.0398  instance_segmentation_loss_reg: 0.3667  instance_segmentation_loss_poly: 1.0046
2024/01/04 07:05:49 - mmengine - INFO - Saving checkpoint at 126000 iterations
2024/01/04 07:17:59 - mmengine - INFO - Iter(train) [126500/640000]  base_lr: 1.8133e-04 lr: 1.8133e-05  eta: 8 days, 9:14:36  time: 1.3918  data_time: 0.0257  memory: 25565  grad_norm: 2.8569  loss: 1.4751  caption_loss_cls: 2.4095  detection_loss_cls: 0.0393  detection_loss_reg: 0.3584  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0410  instance_segmentation_loss_cls: 0.0400  instance_segmentation_loss_reg: 0.3671  instance_segmentation_loss_poly: 1.0062
2024/01/04 07:29:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 07:29:52 - mmengine - INFO - Iter(train) [127000/640000]  base_lr: 1.8119e-04 lr: 1.8119e-05  eta: 8 days, 9:07:03  time: 1.3969  data_time: 0.0258  memory: 25565  grad_norm: 2.8666  loss: 1.4695  caption_loss_cls: 2.4105  detection_loss_cls: 0.0389  detection_loss_reg: 0.3557  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0390  instance_segmentation_loss_cls: 0.0398  instance_segmentation_loss_reg: 0.3661  instance_segmentation_loss_poly: 1.0043
2024/01/04 07:41:15 - mmengine - INFO - Iter(train) [127500/640000]  base_lr: 1.8105e-04 lr: 1.8105e-05  eta: 8 days, 8:42:23  time: 1.3998  data_time: 0.0258  memory: 25565  grad_norm: 2.8342  loss: 1.4627  caption_loss_cls: 2.4136  detection_loss_cls: 0.0390  detection_loss_reg: 0.3557  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0401  instance_segmentation_loss_cls: 0.0397  instance_segmentation_loss_reg: 0.3652  instance_segmentation_loss_poly: 1.0026
2024/01/04 07:53:02 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 07:53:02 - mmengine - INFO - Iter(train) [128000/640000]  base_lr: 1.8090e-04 lr: 1.8090e-05  eta: 8 days, 8:31:31  time: 1.3994  data_time: 0.0257  memory: 25565  grad_norm: 2.7977  loss: 1.4406  caption_loss_cls: 2.4146  detection_loss_cls: 0.0388  detection_loss_reg: 0.3554  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0381  instance_segmentation_loss_cls: 0.0398  instance_segmentation_loss_reg: 0.3650  instance_segmentation_loss_poly: 1.0018
2024/01/04 07:53:02 - mmengine - INFO - Saving checkpoint at 128000 iterations
2024/01/04 08:05:18 - mmengine - INFO - Iter(train) [128500/640000]  base_lr: 1.8076e-04 lr: 1.8076e-05  eta: 8 days, 8:35:58  time: 1.4104  data_time: 0.0259  memory: 25565  grad_norm: 2.7473  loss: 1.4271  caption_loss_cls: 2.4133  detection_loss_cls: 0.0390  detection_loss_reg: 0.3555  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0382  instance_segmentation_loss_cls: 0.0396  instance_segmentation_loss_reg: 0.3634  instance_segmentation_loss_poly: 0.9983
2024/01/04 08:16:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 08:16:39 - mmengine - INFO - Iter(train) [129000/640000]  base_lr: 1.8061e-04 lr: 1.8061e-05  eta: 8 days, 8:11:33  time: 1.4041  data_time: 0.0258  memory: 25565  grad_norm: 2.7393  loss: 1.4307  caption_loss_cls: 2.4113  detection_loss_cls: 0.0391  detection_loss_reg: 0.3553  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0386  instance_segmentation_loss_cls: 0.0395  instance_segmentation_loss_reg: 0.3624  instance_segmentation_loss_poly: 0.9963
2024/01/04 08:28:01 - mmengine - INFO - Iter(train) [129500/640000]  base_lr: 1.8047e-04 lr: 1.8047e-05  eta: 8 days, 7:48:20  time: 1.4037  data_time: 0.0258  memory: 25565  grad_norm: 2.7150  loss: 1.4344  caption_loss_cls: 2.4076  detection_loss_cls: 0.0389  detection_loss_reg: 0.3540  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0321  instance_segmentation_loss_cls: 0.0395  instance_segmentation_loss_reg: 0.3637  instance_segmentation_loss_poly: 0.9988
2024/01/04 08:39:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 08:39:39 - mmengine - INFO - Iter(train) [130000/640000]  base_lr: 1.8032e-04 lr: 1.8032e-05  eta: 8 days, 7:33:26  time: 1.4072  data_time: 0.0257  memory: 25565  grad_norm: 2.6208  loss: 1.4028  caption_loss_cls: 2.4028  detection_loss_cls: 0.0390  detection_loss_reg: 0.3542  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0242  instance_segmentation_loss_cls: 0.0394  instance_segmentation_loss_reg: 0.3640  instance_segmentation_loss_poly: 0.9983
2024/01/04 08:39:39 - mmengine - INFO - Saving checkpoint at 130000 iterations
2024/01/04 08:51:41 - mmengine - INFO - Iter(train) [130500/640000]  base_lr: 1.8017e-04 lr: 1.8017e-05  eta: 8 days, 7:30:04  time: 1.4052  data_time: 0.0254  memory: 25565  grad_norm: 2.6675  loss: 1.3983  caption_loss_cls: 2.3970  detection_loss_cls: 0.0390  detection_loss_reg: 0.3553  semantic_segmentation_loss_cls: 0.0105  grounding_loss_reg: 3.0223  instance_segmentation_loss_cls: 0.0393  instance_segmentation_loss_reg: 0.3620  instance_segmentation_loss_poly: 0.9938
2024/01/04 09:02:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 09:02:52 - mmengine - INFO - Iter(train) [131000/640000]  base_lr: 1.8003e-04 lr: 1.8003e-05  eta: 8 days, 7:02:50  time: 1.3945  data_time: 0.0252  memory: 25565  grad_norm: 2.6977  loss: 1.3982  caption_loss_cls: 2.3876  detection_loss_cls: 0.0386  detection_loss_reg: 0.3537  semantic_segmentation_loss_cls: 0.0105  grounding_loss_reg: 3.0189  instance_segmentation_loss_cls: 0.0390  instance_segmentation_loss_reg: 0.3588  instance_segmentation_loss_poly: 0.9891
2024/01/04 09:14:56 - mmengine - INFO - Iter(train) [131500/640000]  base_lr: 1.7988e-04 lr: 1.7988e-05  eta: 8 days, 7:00:06  time: 1.4051  data_time: 0.0254  memory: 25565  grad_norm: 2.6738  loss: 1.3897  caption_loss_cls: 2.3846  detection_loss_cls: 0.0387  detection_loss_reg: 0.3545  semantic_segmentation_loss_cls: 0.0105  grounding_loss_reg: 3.0130  instance_segmentation_loss_cls: 0.0393  instance_segmentation_loss_reg: 0.3602  instance_segmentation_loss_poly: 0.9919
2024/01/04 09:26:17 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 09:26:17 - mmengine - INFO - Iter(train) [132000/640000]  base_lr: 1.7973e-04 lr: 1.7973e-05  eta: 8 days, 6:38:19  time: 1.3986  data_time: 0.0254  memory: 25565  grad_norm: 2.7385  loss: 1.4115  caption_loss_cls: 2.3835  detection_loss_cls: 0.0388  detection_loss_reg: 0.3554  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0169  instance_segmentation_loss_cls: 0.0391  instance_segmentation_loss_reg: 0.3586  instance_segmentation_loss_poly: 0.9877
2024/01/04 09:26:17 - mmengine - INFO - Saving checkpoint at 132000 iterations
2024/01/04 09:38:28 - mmengine - INFO - Iter(train) [132500/640000]  base_lr: 1.7958e-04 lr: 1.7958e-05  eta: 8 days, 6:37:53  time: 1.3973  data_time: 0.0254  memory: 25565  grad_norm: 2.7082  loss: 1.4197  caption_loss_cls: 2.3884  detection_loss_cls: 0.0389  detection_loss_reg: 0.3558  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0130  instance_segmentation_loss_cls: 0.0394  instance_segmentation_loss_reg: 0.3609  instance_segmentation_loss_poly: 0.9931
2024/01/04 09:49:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 09:49:39 - mmengine - INFO - Iter(train) [133000/640000]  base_lr: 1.7944e-04 lr: 1.7944e-05  eta: 8 days, 6:12:32  time: 1.3948  data_time: 0.0254  memory: 25565  grad_norm: 2.7607  loss: 1.4211  caption_loss_cls: 2.3831  detection_loss_cls: 0.0387  detection_loss_reg: 0.3544  semantic_segmentation_loss_cls: 0.0105  grounding_loss_reg: 3.0114  instance_segmentation_loss_cls: 0.0393  instance_segmentation_loss_reg: 0.3604  instance_segmentation_loss_poly: 0.9917
2024/01/04 10:01:20 - mmengine - INFO - Iter(train) [133500/640000]  base_lr: 1.7929e-04 lr: 1.7929e-05  eta: 8 days, 5:59:40  time: 1.3996  data_time: 0.0254  memory: 25565  grad_norm: 2.7766  loss: 1.4110  caption_loss_cls: 2.3803  detection_loss_cls: 0.0388  detection_loss_reg: 0.3533  semantic_segmentation_loss_cls: 0.0105  grounding_loss_reg: 3.0078  instance_segmentation_loss_cls: 0.0393  instance_segmentation_loss_reg: 0.3599  instance_segmentation_loss_poly: 0.9918
2024/01/04 10:13:19 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 10:13:19 - mmengine - INFO - Iter(train) [134000/640000]  base_lr: 1.7914e-04 lr: 1.7914e-05  eta: 8 days, 5:53:38  time: 1.4048  data_time: 0.0254  memory: 25565  grad_norm: 2.8210  loss: 1.4163  caption_loss_cls: 2.3792  detection_loss_cls: 0.0388  detection_loss_reg: 0.3541  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0096  instance_segmentation_loss_cls: 0.0394  instance_segmentation_loss_reg: 0.3598  instance_segmentation_loss_poly: 0.9927
2024/01/04 10:13:19 - mmengine - INFO - Saving checkpoint at 134000 iterations
2024/01/04 10:25:27 - mmengine - INFO - Iter(train) [134500/640000]  base_lr: 1.7899e-04 lr: 1.7899e-05  eta: 8 days, 5:50:56  time: 1.4062  data_time: 0.0255  memory: 25565  grad_norm: 2.8047  loss: 1.4134  caption_loss_cls: 2.3818  detection_loss_cls: 0.0389  detection_loss_reg: 0.3550  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0102  instance_segmentation_loss_cls: 0.0395  instance_segmentation_loss_reg: 0.3606  instance_segmentation_loss_poly: 0.9936
2024/01/04 10:36:38 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 10:36:38 - mmengine - INFO - Iter(train) [135000/640000]  base_lr: 1.7883e-04 lr: 1.7883e-05  eta: 8 days, 5:26:59  time: 1.4064  data_time: 0.0256  memory: 25565  grad_norm: 2.8071  loss: 1.4216  caption_loss_cls: 2.3806  detection_loss_cls: 0.0392  detection_loss_reg: 0.3578  semantic_segmentation_loss_cls: 0.0107  grounding_loss_reg: 3.0108  instance_segmentation_loss_cls: 0.0391  instance_segmentation_loss_reg: 0.3584  instance_segmentation_loss_poly: 0.9878
2024/01/04 10:47:56 - mmengine - INFO - Iter(train) [135500/640000]  base_lr: 1.7868e-04 lr: 1.7868e-05  eta: 8 days, 5:05:47  time: 1.3946  data_time: 0.0254  memory: 25565  grad_norm: 2.8589  loss: 1.4257  caption_loss_cls: 2.3713  detection_loss_cls: 0.0394  detection_loss_reg: 0.3586  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0077  instance_segmentation_loss_cls: 0.0392  instance_segmentation_loss_reg: 0.3589  instance_segmentation_loss_poly: 0.9897
2024/01/04 10:59:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 10:59:22 - mmengine - INFO - Iter(train) [136000/640000]  base_lr: 1.7853e-04 lr: 1.7853e-05  eta: 8 days, 4:48:01  time: 1.3959  data_time: 0.0254  memory: 25565  grad_norm: 2.8450  loss: 1.4284  caption_loss_cls: 2.3788  detection_loss_cls: 0.0393  detection_loss_reg: 0.3576  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0000  instance_segmentation_loss_cls: 0.0392  instance_segmentation_loss_reg: 0.3585  instance_segmentation_loss_poly: 0.9895
2024/01/04 10:59:22 - mmengine - INFO - Saving checkpoint at 136000 iterations
2024/01/04 11:11:25 - mmengine - INFO - Iter(train) [136500/640000]  base_lr: 1.7838e-04 lr: 1.7838e-05  eta: 8 days, 4:43:04  time: 1.3938  data_time: 0.0254  memory: 25565  grad_norm: 2.9215  loss: 1.4151  caption_loss_cls: 2.3814  detection_loss_cls: 0.0394  detection_loss_reg: 0.3582  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 3.0003  instance_segmentation_loss_cls: 0.0392  instance_segmentation_loss_reg: 0.3573  instance_segmentation_loss_poly: 0.9890
2024/01/04 11:23:27 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 11:23:27 - mmengine - INFO - Iter(train) [137000/640000]  base_lr: 1.7823e-04 lr: 1.7823e-05  eta: 8 days, 4:37:45  time: 1.4067  data_time: 0.0256  memory: 25565  grad_norm: 2.9774  loss: 1.3989  caption_loss_cls: 2.3740  detection_loss_cls: 0.0393  detection_loss_reg: 0.3582  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 2.9951  instance_segmentation_loss_cls: 0.0389  instance_segmentation_loss_reg: 0.3542  instance_segmentation_loss_poly: 0.9809
2024/01/04 11:34:37 - mmengine - INFO - Iter(train) [137500/640000]  base_lr: 1.7807e-04 lr: 1.7807e-05  eta: 8 days, 4:15:00  time: 1.3990  data_time: 0.0255  memory: 25565  grad_norm: 3.0452  loss: 1.4073  caption_loss_cls: 2.3766  detection_loss_cls: 0.0390  detection_loss_reg: 0.3555  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 2.9901  instance_segmentation_loss_cls: 0.0391  instance_segmentation_loss_reg: 0.3558  instance_segmentation_loss_poly: 0.9844
2024/01/04 11:45:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 11:45:31 - mmengine - INFO - Iter(train) [138000/640000]  base_lr: 1.7792e-04 lr: 1.7792e-05  eta: 8 days, 3:47:18  time: 1.3827  data_time: 0.0253  memory: 25565  grad_norm: 3.0357  loss: 1.4278  caption_loss_cls: 2.3866  detection_loss_cls: 0.0391  detection_loss_reg: 0.3560  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 2.9893  instance_segmentation_loss_cls: 0.0388  instance_segmentation_loss_reg: 0.3549  instance_segmentation_loss_poly: 0.9817
2024/01/04 11:45:31 - mmengine - INFO - Saving checkpoint at 138000 iterations
2024/01/04 11:57:15 - mmengine - INFO - Iter(train) [138500/640000]  base_lr: 1.7777e-04 lr: 1.7777e-05  eta: 8 days, 3:36:17  time: 1.3767  data_time: 0.0253  memory: 25565  grad_norm: 3.0749  loss: 1.4382  caption_loss_cls: 2.3870  detection_loss_cls: 0.0392  detection_loss_reg: 0.3549  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 2.9863  instance_segmentation_loss_cls: 0.0387  instance_segmentation_loss_reg: 0.3531  instance_segmentation_loss_poly: 0.9761
2024/01/04 12:09:02 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 12:09:02 - mmengine - INFO - Iter(train) [139000/640000]  base_lr: 1.7761e-04 lr: 1.7761e-05  eta: 8 days, 3:26:00  time: 1.3856  data_time: 0.0256  memory: 25565  grad_norm: 3.0646  loss: 1.4398  caption_loss_cls: 2.3877  detection_loss_cls: 0.0392  detection_loss_reg: 0.3555  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 2.9792  instance_segmentation_loss_cls: 0.0390  instance_segmentation_loss_reg: 0.3568  instance_segmentation_loss_poly: 0.9849
2024/01/04 12:20:10 - mmengine - INFO - Iter(train) [139500/640000]  base_lr: 1.7746e-04 lr: 1.7746e-05  eta: 8 days, 3:03:52  time: 1.3832  data_time: 0.0256  memory: 25565  grad_norm: 3.1196  loss: 1.4625  caption_loss_cls: 2.3984  detection_loss_cls: 0.0393  detection_loss_reg: 0.3572  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 2.9761  instance_segmentation_loss_cls: 0.0389  instance_segmentation_loss_reg: 0.3564  instance_segmentation_loss_poly: 0.9856
2024/01/04 12:31:54 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 12:31:54 - mmengine - INFO - Iter(train) [140000/640000]  base_lr: 1.7730e-04 lr: 1.7730e-05  eta: 8 days, 2:52:51  time: 1.3877  data_time: 0.0257  memory: 25565  grad_norm: 3.1141  loss: 1.4445  caption_loss_cls: 2.3963  detection_loss_cls: 0.0394  detection_loss_reg: 0.3569  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 2.9743  instance_segmentation_loss_cls: 0.0388  instance_segmentation_loss_reg: 0.3569  instance_segmentation_loss_poly: 0.9860
2024/01/04 12:31:54 - mmengine - INFO - Saving checkpoint at 140000 iterations
2024/01/04 12:43:51 - mmengine - INFO - Evaluating bbox...
2024/01/04 12:44:50 - mmengine - INFO - bbox_mAP_copypaste: 0.462 0.648 0.509 0.307 0.521 0.601
2024/01/04 12:44:50 - mmengine - INFO - Evaluating segm...
2024/01/04 12:46:00 - mmengine - INFO - segm_mAP_copypaste: 0.295 0.549 0.283 0.155 0.353 0.470
2024/01/04 12:48:10 - mmengine - INFO - Evaluating bbox...
2024/01/04 12:49:08 - mmengine - INFO - bbox_mAP_copypaste: 0.462 0.649 0.510 0.307 0.521 0.600
2024/01/04 12:54:51 - mmengine - INFO - per class results:
2024/01/04 12:54:51 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 78.12 | 86.21 |
|       building      | 81.82 | 93.09 |
|         sky         | 93.46 | 97.06 |
|        floor        | 81.92 |  89.3 |
|         tree        | 74.09 | 85.79 |
|       ceiling       | 83.78 | 94.04 |
|         road        | 83.92 |  89.5 |
|         bed         | 88.44 | 96.69 |
|      windowpane     | 62.84 | 80.01 |
|        grass        |  65.5 | 84.91 |
|       cabinet       | 60.11 | 68.99 |
|       sidewalk      | 65.17 | 84.71 |
|        person       | 80.84 | 91.73 |
|        earth        |  35.6 | 45.66 |
|         door        | 53.76 | 75.45 |
|        table        | 60.23 |  73.1 |
|       mountain      | 58.73 | 77.34 |
|        plant        | 50.79 | 64.48 |
|       curtain       | 75.89 | 85.57 |
|        chair        | 57.99 | 71.47 |
|         car         | 83.48 | 91.87 |
|        water        | 50.47 | 57.04 |
|       painting      |  70.2 | 86.58 |
|         sofa        | 67.61 | 83.65 |
|        shelf        | 43.75 | 64.67 |
|        house        | 31.05 | 34.48 |
|         sea         | 62.94 | 84.76 |
|        mirror       | 66.69 |  74.8 |
|         rug         | 63.07 | 68.15 |
|        field        | 30.73 | 45.96 |
|       armchair      | 48.03 | 70.76 |
|         seat        | 65.54 | 78.45 |
|        fence        | 44.91 | 62.29 |
|         desk        | 39.53 | 79.08 |
|         rock        | 34.19 | 54.79 |
|       wardrobe      | 49.18 | 71.85 |
|         lamp        | 59.78 | 77.36 |
|       bathtub       | 74.14 | 92.37 |
|       railing       | 34.58 | 67.54 |
|       cushion       | 55.41 |  68.5 |
|         base        | 26.06 | 34.07 |
|         box         | 28.98 | 43.35 |
|        column       | 49.87 | 63.65 |
|      signboard      | 35.39 | 49.94 |
|   chest of drawers  | 40.84 | 44.22 |
|       counter       | 22.02 |  33.7 |
|         sand        | 40.94 | 53.81 |
|         sink        | 72.49 | 81.41 |
|      skyscraper     | 32.85 | 39.51 |
|      fireplace      | 70.39 | 92.72 |
|     refrigerator    | 74.01 | 80.92 |
|      grandstand     | 34.33 | 77.15 |
|         path        | 19.92 | 28.68 |
|        stairs       |  12.1 | 12.63 |
|        runway       |  71.0 | 92.44 |
|         case        |  44.5 | 50.57 |
|      pool table     | 87.86 | 96.22 |
|        pillow       | 54.89 | 65.69 |
|     screen door     | 78.14 | 84.49 |
|       stairway      |  30.8 |  69.1 |
|        river        | 21.32 | 72.83 |
|        bridge       | 62.01 |  86.2 |
|       bookcase      | 32.02 | 55.97 |
|        blind        | 39.26 | 41.89 |
|     coffee table    | 60.48 | 84.31 |
|        toilet       | 85.92 | 93.49 |
|        flower       | 32.82 | 56.26 |
|         book        | 43.67 | 61.54 |
|         hill        | 10.98 | 15.48 |
|        bench        | 40.45 | 73.32 |
|      countertop     | 55.58 | 82.24 |
|        stove        | 72.35 | 77.26 |
|         palm        | 47.91 | 66.36 |
|    kitchen island   | 34.11 | 91.51 |
|       computer      | 74.25 |  84.4 |
|     swivel chair    |  38.5 | 47.38 |
|         boat        | 70.99 | 74.93 |
|         bar         | 33.48 | 43.59 |
|    arcade machine   | 70.62 | 79.37 |
|        hovel        | 19.13 | 20.41 |
|         bus         | 91.87 | 95.46 |
|        towel        | 62.22 | 72.87 |
|        light        | 49.32 | 70.28 |
|        truck        | 38.06 | 53.73 |
|        tower        |  27.0 | 43.44 |
|      chandelier     | 57.71 | 63.37 |
|        awning       | 26.28 | 38.25 |
|     streetlight     | 30.23 | 44.18 |
|        booth        | 48.57 | 53.89 |
| television receiver | 71.03 |  86.8 |
|       airplane      | 59.58 | 63.16 |
|      dirt track     |  8.0  | 15.97 |
|       apparel       | 30.36 | 47.16 |
|         pole        | 18.41 | 24.17 |
|         land        |  1.16 |  2.43 |
|      bannister      | 16.56 | 39.23 |
|      escalator      |  9.91 |  9.93 |
|       ottoman       | 44.25 | 74.86 |
|        bottle       | 23.68 | 30.08 |
|        buffet       | 55.69 | 69.29 |
|        poster       | 29.82 | 67.62 |
|        stage        | 10.97 | 33.97 |
|         van         |  33.8 | 42.87 |
|         ship        | 32.32 | 33.14 |
|       fountain      |  7.93 |  7.99 |
|    conveyer belt    | 70.15 | 89.51 |
|        canopy       |  43.7 | 50.69 |
|        washer       | 68.59 | 72.57 |
|      plaything      | 32.55 | 52.66 |
|    swimming pool    | 63.13 | 77.19 |
|        stool        | 41.43 | 53.44 |
|        barrel       | 12.25 | 87.69 |
|        basket       | 27.17 | 41.01 |
|      waterfall      |  56.1 |  59.0 |
|         tent        | 73.51 | 98.41 |
|         bag         | 25.43 | 34.38 |
|       minibike      | 72.64 | 86.48 |
|        cradle       | 78.14 | 96.73 |
|         oven        | 45.73 | 61.95 |
|         ball        |  36.9 | 42.04 |
|         food        | 58.25 | 67.79 |
|         step        |  4.41 |  4.88 |
|         tank        | 53.93 | 61.84 |
|      trade name     | 10.72 | 11.52 |
|      microwave      | 82.22 | 90.98 |
|         pot         | 39.48 | 45.19 |
|        animal       | 63.99 | 69.22 |
|       bicycle       | 54.98 | 66.02 |
|         lake        | 47.76 | 48.62 |
|      dishwasher     | 48.17 | 86.44 |
|        screen       | 61.91 | 78.68 |
|       blanket       |  15.5 | 17.54 |
|      sculpture      | 62.02 | 78.56 |
|         hood        | 58.07 | 75.01 |
|        sconce       | 41.31 |  56.3 |
|         vase        |  40.9 | 59.98 |
|    traffic light    | 33.62 | 44.91 |
|         tray        |  8.3  | 11.01 |
|        ashcan       | 29.15 | 62.15 |
|         fan         | 57.93 | 73.82 |
|         pier        |  30.3 | 45.75 |
|      crt screen     |  5.91 | 10.08 |
|        plate        | 53.24 | 73.76 |
|       monitor       | 29.02 | 34.49 |
|    bulletin board   | 43.64 | 50.81 |
|        shower       |  4.43 |  5.19 |
|       radiator      | 50.94 | 74.12 |
|        glass        |  18.6 | 21.43 |
|        clock        | 26.11 | 30.63 |
|         flag        | 33.58 | 39.26 |
+---------------------+-------+-------+
2024/01/04 12:55:03 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4620  coco/bbox_mAP_50: 0.6490  coco/bbox_mAP_75: 0.5100  coco/bbox_mAP_s: 0.3070  coco/bbox_mAP_m: 0.5210  coco/bbox_mAP_l: 0.6000  coco/segm_mAP: 0.2950  coco/segm_mAP_50: 0.5490  coco/segm_mAP_75: 0.2830  coco/segm_mAP_s: 0.1550  coco/segm_mAP_m: 0.3530  coco/segm_mAP_l: 0.4700  Bleu_1: 0.7408  Bleu_2: 0.5754  Bleu_3: 0.4328  Bleu_4: 0.3216  METEOR: 0.2571  ROUGE_L: 0.5428  CIDEr: 1.0087  SPICE: 0.1911  aAcc: 82.6500  mIoU: 47.6100  mAcc: 61.5800  visual-grounding/miou: 0.7547  visual-grounding/acc: 0.8284  data_time: 0.0120  time: 1.9039
2024/01/04 13:07:03 - mmengine - INFO - Iter(train) [140500/640000]  base_lr: 1.7715e-04 lr: 1.7715e-05  eta: 8 days, 2:47:20  time: 1.3877  data_time: 0.0190  memory: 34656  grad_norm: 3.0858  loss: 1.4363  caption_loss_cls: 2.3957  detection_loss_cls: 0.0393  detection_loss_reg: 0.3558  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 2.9769  instance_segmentation_loss_cls: 0.0384  instance_segmentation_loss_reg: 0.3540  instance_segmentation_loss_poly: 0.9791
2024/01/04 13:18:35 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 13:18:35 - mmengine - INFO - Iter(train) [141000/640000]  base_lr: 1.7699e-04 lr: 1.7699e-05  eta: 8 days, 2:32:30  time: 1.3799  data_time: 0.0189  memory: 25564  grad_norm: 3.0246  loss: 1.4530  caption_loss_cls: 2.3920  detection_loss_cls: 0.0395  detection_loss_reg: 0.3575  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 2.9782  instance_segmentation_loss_cls: 0.0385  instance_segmentation_loss_reg: 0.3535  instance_segmentation_loss_poly: 0.9769
2024/01/04 13:30:14 - mmengine - INFO - Iter(train) [141500/640000]  base_lr: 1.7683e-04 lr: 1.7683e-05  eta: 8 days, 2:20:00  time: 1.3871  data_time: 0.0190  memory: 25564  grad_norm: 3.0418  loss: 1.4481  caption_loss_cls: 2.3867  detection_loss_cls: 0.0395  detection_loss_reg: 0.3575  semantic_segmentation_loss_cls: 0.0106  grounding_loss_reg: 2.9779  instance_segmentation_loss_cls: 0.0384  instance_segmentation_loss_reg: 0.3527  instance_segmentation_loss_poly: 0.9748
2024/01/04 13:42:37 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 13:42:37 - mmengine - INFO - Iter(train) [142000/640000]  base_lr: 1.7667e-04 lr: 1.7667e-05  eta: 8 days, 2:19:52  time: 1.4096  data_time: 0.0193  memory: 25564  grad_norm: 2.9912  loss: 1.4305  caption_loss_cls: 2.3829  detection_loss_cls: 0.0394  detection_loss_reg: 0.3562  semantic_segmentation_loss_cls: 0.0105  grounding_loss_reg: 2.9804  instance_segmentation_loss_cls: 0.0384  instance_segmentation_loss_reg: 0.3533  instance_segmentation_loss_poly: 0.9763
2024/01/04 13:42:37 - mmengine - INFO - Saving checkpoint at 142000 iterations
2024/01/04 13:54:21 - mmengine - INFO - Iter(train) [142500/640000]  base_lr: 1.7652e-04 lr: 1.7652e-05  eta: 8 days, 2:08:30  time: 1.4095  data_time: 0.0194  memory: 25564  grad_norm: 3.0188  loss: 1.4350  caption_loss_cls: 2.3855  detection_loss_cls: 0.0393  detection_loss_reg: 0.3552  semantic_segmentation_loss_cls: 0.0105  grounding_loss_reg: 2.9775  instance_segmentation_loss_cls: 0.0383  instance_segmentation_loss_reg: 0.3527  instance_segmentation_loss_poly: 0.9748
2024/01/04 14:06:09 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 14:06:09 - mmengine - INFO - Iter(train) [143000/640000]  base_lr: 1.7636e-04 lr: 1.7636e-05  eta: 8 days, 1:58:17  time: 1.4098  data_time: 0.0192  memory: 25564  grad_norm: 3.0890  loss: 1.4316  caption_loss_cls: 2.3852  detection_loss_cls: 0.0390  detection_loss_reg: 0.3537  semantic_segmentation_loss_cls: 0.0105  grounding_loss_reg: 2.9757  instance_segmentation_loss_cls: 0.0384  instance_segmentation_loss_reg: 0.3543  instance_segmentation_loss_poly: 0.9770
2024/01/04 14:17:10 - mmengine - INFO - Iter(train) [143500/640000]  base_lr: 1.7620e-04 lr: 1.7620e-05  eta: 8 days, 1:35:39  time: 1.4081  data_time: 0.0192  memory: 25564  grad_norm: 3.0600  loss: 1.4241  caption_loss_cls: 2.3884  detection_loss_cls: 0.0389  detection_loss_reg: 0.3532  semantic_segmentation_loss_cls: 0.0105  grounding_loss_reg: 2.9767  instance_segmentation_loss_cls: 0.0384  instance_segmentation_loss_reg: 0.3537  instance_segmentation_loss_poly: 0.9747
2024/01/04 14:29:23 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 14:29:23 - mmengine - INFO - Iter(train) [144000/640000]  base_lr: 1.7604e-04 lr: 1.7604e-05  eta: 8 days, 1:32:00  time: 1.4154  data_time: 0.0193  memory: 25564  grad_norm: 3.0626  loss: 1.4173  caption_loss_cls: 2.3903  detection_loss_cls: 0.0386  detection_loss_reg: 0.3511  semantic_segmentation_loss_cls: 0.0104  grounding_loss_reg: 2.9699  instance_segmentation_loss_cls: 0.0383  instance_segmentation_loss_reg: 0.3538  instance_segmentation_loss_poly: 0.9751
2024/01/04 14:29:23 - mmengine - INFO - Saving checkpoint at 144000 iterations
2024/01/04 14:41:17 - mmengine - INFO - Iter(train) [144500/640000]  base_lr: 1.7588e-04 lr: 1.7588e-05  eta: 8 days, 1:23:10  time: 1.4132  data_time: 0.0259  memory: 25564  grad_norm: 3.0596  loss: 1.4249  caption_loss_cls: 2.3903  detection_loss_cls: 0.0383  detection_loss_reg: 0.3488  semantic_segmentation_loss_cls: 0.0104  grounding_loss_reg: 2.9651  instance_segmentation_loss_cls: 0.0381  instance_segmentation_loss_reg: 0.3532  instance_segmentation_loss_poly: 0.9737
2024/01/04 14:52:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 14:52:45 - mmengine - INFO - Iter(train) [145000/640000]  base_lr: 1.7572e-04 lr: 1.7572e-05  eta: 8 days, 1:07:49  time: 1.4124  data_time: 0.0260  memory: 25564  grad_norm: 3.0506  loss: 1.4429  caption_loss_cls: 2.3925  detection_loss_cls: 0.0382  detection_loss_reg: 0.3486  semantic_segmentation_loss_cls: 0.0104  grounding_loss_reg: 2.9652  instance_segmentation_loss_cls: 0.0379  instance_segmentation_loss_reg: 0.3510  instance_segmentation_loss_poly: 0.9687
2024/01/04 15:04:32 - mmengine - INFO - Iter(train) [145500/640000]  base_lr: 1.7556e-04 lr: 1.7556e-05  eta: 8 days, 0:57:14  time: 1.4144  data_time: 0.0259  memory: 25564  grad_norm: 2.9461  loss: 1.4393  caption_loss_cls: 2.3953  detection_loss_cls: 0.0381  detection_loss_reg: 0.3494  semantic_segmentation_loss_cls: 0.0103  grounding_loss_reg: 2.9614  instance_segmentation_loss_cls: 0.0375  instance_segmentation_loss_reg: 0.3489  instance_segmentation_loss_poly: 0.9638
2024/01/04 15:15:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 15:15:56 - mmengine - INFO - Iter(train) [146000/640000]  base_lr: 1.7540e-04 lr: 1.7540e-05  eta: 8 days, 0:41:00  time: 1.3994  data_time: 0.0256  memory: 25564  grad_norm: 2.9824  loss: 1.4273  caption_loss_cls: 2.3871  detection_loss_cls: 0.0380  detection_loss_reg: 0.3499  semantic_segmentation_loss_cls: 0.0103  grounding_loss_reg: 2.9568  instance_segmentation_loss_cls: 0.0373  instance_segmentation_loss_reg: 0.3467  instance_segmentation_loss_poly: 0.9602
2024/01/04 15:15:56 - mmengine - INFO - Saving checkpoint at 146000 iterations
2024/01/04 15:27:44 - mmengine - INFO - Iter(train) [146500/640000]  base_lr: 1.7524e-04 lr: 1.7524e-05  eta: 8 days, 0:30:38  time: 1.4004  data_time: 0.0256  memory: 25564  grad_norm: 2.9362  loss: 1.4375  caption_loss_cls: 2.3984  detection_loss_cls: 0.0381  detection_loss_reg: 0.3507  semantic_segmentation_loss_cls: 0.0104  grounding_loss_reg: 2.9558  instance_segmentation_loss_cls: 0.0372  instance_segmentation_loss_reg: 0.3466  instance_segmentation_loss_poly: 0.9592
2024/01/04 15:39:07 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 15:39:07 - mmengine - INFO - Iter(train) [147000/640000]  base_lr: 1.7508e-04 lr: 1.7508e-05  eta: 8 days, 0:14:25  time: 1.3942  data_time: 0.0255  memory: 25564  grad_norm: 2.8715  loss: 1.4291  caption_loss_cls: 2.4008  detection_loss_cls: 0.0381  detection_loss_reg: 0.3507  semantic_segmentation_loss_cls: 0.0103  grounding_loss_reg: 2.9508  instance_segmentation_loss_cls: 0.0370  instance_segmentation_loss_reg: 0.3463  instance_segmentation_loss_poly: 0.9585
2024/01/04 15:50:42 - mmengine - INFO - Iter(train) [147500/640000]  base_lr: 1.7491e-04 lr: 1.7491e-05  eta: 8 days, 0:01:00  time: 1.4025  data_time: 0.0255  memory: 25564  grad_norm: 2.8314  loss: 1.4133  caption_loss_cls: 2.4061  detection_loss_cls: 0.0381  detection_loss_reg: 0.3515  semantic_segmentation_loss_cls: 0.0103  grounding_loss_reg: 2.9525  instance_segmentation_loss_cls: 0.0369  instance_segmentation_loss_reg: 0.3459  instance_segmentation_loss_poly: 0.9569
2024/01/04 16:02:21 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 16:02:21 - mmengine - INFO - Iter(train) [148000/640000]  base_lr: 1.7475e-04 lr: 1.7475e-05  eta: 7 days, 23:48:46  time: 1.3942  data_time: 0.0255  memory: 25564  grad_norm: 2.8112  loss: 1.4325  caption_loss_cls: 2.4042  detection_loss_cls: 0.0380  detection_loss_reg: 0.3510  semantic_segmentation_loss_cls: 0.0102  grounding_loss_reg: 2.9523  instance_segmentation_loss_cls: 0.0371  instance_segmentation_loss_reg: 0.3472  instance_segmentation_loss_poly: 0.9595
2024/01/04 16:02:21 - mmengine - INFO - Saving checkpoint at 148000 iterations
2024/01/04 16:14:35 - mmengine - INFO - Iter(train) [148500/640000]  base_lr: 1.7459e-04 lr: 1.7459e-05  eta: 7 days, 23:44:09  time: 1.3991  data_time: 0.0256  memory: 25564  grad_norm: 2.8393  loss: 1.4450  caption_loss_cls: 2.4058  detection_loss_cls: 0.0380  detection_loss_reg: 0.3516  semantic_segmentation_loss_cls: 0.0102  grounding_loss_reg: 2.9535  instance_segmentation_loss_cls: 0.0372  instance_segmentation_loss_reg: 0.3484  instance_segmentation_loss_poly: 0.9617
2024/01/04 16:26:34 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 16:26:34 - mmengine - INFO - Iter(train) [149000/640000]  base_lr: 1.7442e-04 lr: 1.7442e-05  eta: 7 days, 23:36:06  time: 1.4068  data_time: 0.0257  memory: 25564  grad_norm: 2.7960  loss: 1.4249  caption_loss_cls: 2.4072  detection_loss_cls: 0.0380  detection_loss_reg: 0.3522  semantic_segmentation_loss_cls: 0.0102  grounding_loss_reg: 2.9491  instance_segmentation_loss_cls: 0.0373  instance_segmentation_loss_reg: 0.3493  instance_segmentation_loss_poly: 0.9625
2024/01/04 16:38:06 - mmengine - INFO - Iter(train) [149500/640000]  base_lr: 1.7426e-04 lr: 1.7426e-05  eta: 7 days, 23:22:09  time: 1.4031  data_time: 0.0257  memory: 25564  grad_norm: 2.8078  loss: 1.4230  caption_loss_cls: 2.4017  detection_loss_cls: 0.0381  detection_loss_reg: 0.3528  semantic_segmentation_loss_cls: 0.0102  grounding_loss_reg: 2.9492  instance_segmentation_loss_cls: 0.0371  instance_segmentation_loss_reg: 0.3484  instance_segmentation_loss_poly: 0.9600
2024/01/04 16:49:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 16:49:22 - mmengine - INFO - Iter(train) [150000/640000]  base_lr: 1.7410e-04 lr: 1.7410e-05  eta: 7 days, 23:04:50  time: 1.4012  data_time: 0.0256  memory: 25564  grad_norm: 2.7718  loss: 1.4309  caption_loss_cls: 2.4060  detection_loss_cls: 0.0379  detection_loss_reg: 0.3527  semantic_segmentation_loss_cls: 0.0102  grounding_loss_reg: 2.9564  instance_segmentation_loss_cls: 0.0369  instance_segmentation_loss_reg: 0.3459  instance_segmentation_loss_poly: 0.9544
2024/01/04 16:49:22 - mmengine - INFO - Saving checkpoint at 150000 iterations
2024/01/04 17:01:43 - mmengine - INFO - Iter(train) [150500/640000]  base_lr: 1.7393e-04 lr: 1.7393e-05  eta: 7 days, 23:01:18  time: 1.4094  data_time: 0.0257  memory: 25564  grad_norm: 2.7471  loss: 1.4137  caption_loss_cls: 2.4076  detection_loss_cls: 0.0379  detection_loss_reg: 0.3521  semantic_segmentation_loss_cls: 0.0102  grounding_loss_reg: 2.9602  instance_segmentation_loss_cls: 0.0368  instance_segmentation_loss_reg: 0.3459  instance_segmentation_loss_poly: 0.9542
2024/01/04 17:12:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 17:12:52 - mmengine - INFO - Iter(train) [151000/640000]  base_lr: 1.7376e-04 lr: 1.7376e-05  eta: 7 days, 22:42:38  time: 1.4060  data_time: 0.0257  memory: 25564  grad_norm: 2.7636  loss: 1.4245  caption_loss_cls: 2.4057  detection_loss_cls: 0.0382  detection_loss_reg: 0.3541  semantic_segmentation_loss_cls: 0.0101  grounding_loss_reg: 2.9575  instance_segmentation_loss_cls: 0.0370  instance_segmentation_loss_reg: 0.3471  instance_segmentation_loss_poly: 0.9544
2024/01/04 17:24:42 - mmengine - INFO - Iter(train) [151500/640000]  base_lr: 1.7360e-04 lr: 1.7360e-05  eta: 7 days, 22:32:29  time: 1.4097  data_time: 0.0258  memory: 25564  grad_norm: 2.7406  loss: 1.4087  caption_loss_cls: 2.4031  detection_loss_cls: 0.0382  detection_loss_reg: 0.3551  semantic_segmentation_loss_cls: 0.0101  grounding_loss_reg: 2.9550  instance_segmentation_loss_cls: 0.0374  instance_segmentation_loss_reg: 0.3490  instance_segmentation_loss_poly: 0.9590
2024/01/04 17:36:20 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 17:36:20 - mmengine - INFO - Iter(train) [152000/640000]  base_lr: 1.7343e-04 lr: 1.7343e-05  eta: 7 days, 22:20:01  time: 1.4094  data_time: 0.0256  memory: 25564  grad_norm: 2.7799  loss: 1.4020  caption_loss_cls: 2.4047  detection_loss_cls: 0.0379  detection_loss_reg: 0.3524  semantic_segmentation_loss_cls: 0.0101  grounding_loss_reg: 2.9553  instance_segmentation_loss_cls: 0.0371  instance_segmentation_loss_reg: 0.3472  instance_segmentation_loss_poly: 0.9541
2024/01/04 17:36:20 - mmengine - INFO - Saving checkpoint at 152000 iterations
2024/01/04 17:48:14 - mmengine - INFO - Iter(train) [152500/640000]  base_lr: 1.7327e-04 lr: 1.7327e-05  eta: 7 days, 22:10:40  time: 1.4046  data_time: 0.0254  memory: 25564  grad_norm: 2.7614  loss: 1.3893  caption_loss_cls: 2.3998  detection_loss_cls: 0.0381  detection_loss_reg: 0.3533  semantic_segmentation_loss_cls: 0.0101  grounding_loss_reg: 2.9537  instance_segmentation_loss_cls: 0.0369  instance_segmentation_loss_reg: 0.3459  instance_segmentation_loss_poly: 0.9512
2024/01/04 17:59:33 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 17:59:33 - mmengine - INFO - Iter(train) [153000/640000]  base_lr: 1.7310e-04 lr: 1.7310e-05  eta: 7 days, 21:54:22  time: 1.3946  data_time: 0.0253  memory: 25564  grad_norm: 2.9605  loss: 1.3977  caption_loss_cls: 2.4089  detection_loss_cls: 0.0380  detection_loss_reg: 0.3533  semantic_segmentation_loss_cls: 0.0101  grounding_loss_reg: 2.9524  instance_segmentation_loss_cls: 0.0368  instance_segmentation_loss_reg: 0.3447  instance_segmentation_loss_poly: 0.9472
2024/01/04 18:11:02 - mmengine - INFO - Iter(train) [153500/640000]  base_lr: 1.7293e-04 lr: 1.7293e-05  eta: 7 days, 21:40:07  time: 1.3938  data_time: 0.0254  memory: 25564  grad_norm: 2.9998  loss: 1.4096  caption_loss_cls: 2.4086  detection_loss_cls: 0.0379  detection_loss_reg: 0.3533  semantic_segmentation_loss_cls: 0.0100  grounding_loss_reg: 2.9522  instance_segmentation_loss_cls: 0.0371  instance_segmentation_loss_reg: 0.3479  instance_segmentation_loss_poly: 0.9532
2024/01/04 18:22:21 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 18:22:21 - mmengine - INFO - Iter(train) [154000/640000]  base_lr: 1.7276e-04 lr: 1.7276e-05  eta: 7 days, 21:24:00  time: 1.3945  data_time: 0.0256  memory: 25564  grad_norm: 3.1098  loss: 1.4246  caption_loss_cls: 2.4161  detection_loss_cls: 0.0379  detection_loss_reg: 0.3534  semantic_segmentation_loss_cls: 0.0100  grounding_loss_reg: 2.9461  instance_segmentation_loss_cls: 0.0372  instance_segmentation_loss_reg: 0.3485  instance_segmentation_loss_poly: 0.9546
2024/01/04 18:22:21 - mmengine - INFO - Saving checkpoint at 154000 iterations
2024/01/04 18:34:29 - mmengine - INFO - Iter(train) [154500/640000]  base_lr: 1.7259e-04 lr: 1.7259e-05  eta: 7 days, 21:17:21  time: 1.3913  data_time: 0.0256  memory: 25564  grad_norm: 3.1378  loss: 1.4239  caption_loss_cls: 2.4126  detection_loss_cls: 0.0380  detection_loss_reg: 0.3536  semantic_segmentation_loss_cls: 0.0099  grounding_loss_reg: 2.9474  instance_segmentation_loss_cls: 0.0371  instance_segmentation_loss_reg: 0.3480  instance_segmentation_loss_poly: 0.9529
2024/01/04 18:46:20 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 18:46:20 - mmengine - INFO - Iter(train) [155000/640000]  base_lr: 1.7243e-04 lr: 1.7243e-05  eta: 7 days, 21:07:17  time: 1.4017  data_time: 0.0257  memory: 25564  grad_norm: 3.1281  loss: 1.4207  caption_loss_cls: 2.4153  detection_loss_cls: 0.0379  detection_loss_reg: 0.3534  semantic_segmentation_loss_cls: 0.0099  grounding_loss_reg: 2.9443  instance_segmentation_loss_cls: 0.0372  instance_segmentation_loss_reg: 0.3481  instance_segmentation_loss_poly: 0.9537
2024/01/04 18:58:05 - mmengine - INFO - Iter(train) [155500/640000]  base_lr: 1.7226e-04 lr: 1.7226e-05  eta: 7 days, 20:56:12  time: 1.4006  data_time: 0.0256  memory: 25564  grad_norm: 3.1367  loss: 1.4275  caption_loss_cls: 2.4088  detection_loss_cls: 0.0375  detection_loss_reg: 0.3515  semantic_segmentation_loss_cls: 0.0099  grounding_loss_reg: 2.9486  instance_segmentation_loss_cls: 0.0373  instance_segmentation_loss_reg: 0.3480  instance_segmentation_loss_poly: 0.9529
2024/01/04 19:09:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 19:09:52 - mmengine - INFO - Iter(train) [156000/640000]  base_lr: 1.7209e-04 lr: 1.7209e-05  eta: 7 days, 20:45:21  time: 1.4027  data_time: 0.0257  memory: 25564  grad_norm: 3.0863  loss: 1.4185  caption_loss_cls: 2.4003  detection_loss_cls: 0.0379  detection_loss_reg: 0.3544  semantic_segmentation_loss_cls: 0.0099  grounding_loss_reg: 2.9496  instance_segmentation_loss_cls: 0.0371  instance_segmentation_loss_reg: 0.3473  instance_segmentation_loss_poly: 0.9516
2024/01/04 19:09:52 - mmengine - INFO - Saving checkpoint at 156000 iterations
2024/01/04 19:22:10 - mmengine - INFO - Iter(train) [156500/640000]  base_lr: 1.7192e-04 lr: 1.7192e-05  eta: 7 days, 20:40:10  time: 1.4087  data_time: 0.0257  memory: 25564  grad_norm: 3.0294  loss: 1.4052  caption_loss_cls: 2.3991  detection_loss_cls: 0.0380  detection_loss_reg: 0.3563  semantic_segmentation_loss_cls: 0.0099  grounding_loss_reg: 2.9451  instance_segmentation_loss_cls: 0.0371  instance_segmentation_loss_reg: 0.3474  instance_segmentation_loss_poly: 0.9514
2024/01/04 19:33:34 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 19:33:34 - mmengine - INFO - Iter(train) [157000/640000]  base_lr: 1.7174e-04 lr: 1.7174e-05  eta: 7 days, 20:25:04  time: 1.4098  data_time: 0.0259  memory: 25564  grad_norm: 2.8707  loss: 1.4207  caption_loss_cls: 2.4044  detection_loss_cls: 0.0381  detection_loss_reg: 0.3560  semantic_segmentation_loss_cls: 0.0099  grounding_loss_reg: 2.9483  instance_segmentation_loss_cls: 0.0373  instance_segmentation_loss_reg: 0.3503  instance_segmentation_loss_poly: 0.9576
2024/01/04 19:45:27 - mmengine - INFO - Iter(train) [157500/640000]  base_lr: 1.7157e-04 lr: 1.7157e-05  eta: 7 days, 20:15:18  time: 1.4159  data_time: 0.0258  memory: 25564  grad_norm: 2.8060  loss: 1.4082  caption_loss_cls: 2.4018  detection_loss_cls: 0.0381  detection_loss_reg: 0.3564  semantic_segmentation_loss_cls: 0.0099  grounding_loss_reg: 2.9433  instance_segmentation_loss_cls: 0.0371  instance_segmentation_loss_reg: 0.3508  instance_segmentation_loss_poly: 0.9589
2024/01/04 19:56:51 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 19:56:51 - mmengine - INFO - Iter(train) [158000/640000]  base_lr: 1.7140e-04 lr: 1.7140e-05  eta: 7 days, 20:00:17  time: 1.4170  data_time: 0.0258  memory: 25564  grad_norm: 2.7148  loss: 1.4016  caption_loss_cls: 2.4020  detection_loss_cls: 0.0385  detection_loss_reg: 0.3596  semantic_segmentation_loss_cls: 0.0099  grounding_loss_reg: 2.9474  instance_segmentation_loss_cls: 0.0373  instance_segmentation_loss_reg: 0.3510  instance_segmentation_loss_poly: 0.9600
2024/01/04 19:56:51 - mmengine - INFO - Saving checkpoint at 158000 iterations
2024/01/04 20:09:05 - mmengine - INFO - Iter(train) [158500/640000]  base_lr: 1.7123e-04 lr: 1.7123e-05  eta: 7 days, 19:54:10  time: 1.4186  data_time: 0.0258  memory: 25564  grad_norm: 2.6652  loss: 1.3927  caption_loss_cls: 2.4040  detection_loss_cls: 0.0382  detection_loss_reg: 0.3570  semantic_segmentation_loss_cls: 0.0098  grounding_loss_reg: 2.9445  instance_segmentation_loss_cls: 0.0373  instance_segmentation_loss_reg: 0.3505  instance_segmentation_loss_poly: 0.9600
2024/01/04 20:20:47 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 20:20:47 - mmengine - INFO - Iter(train) [159000/640000]  base_lr: 1.7106e-04 lr: 1.7106e-05  eta: 7 days, 19:42:16  time: 1.4163  data_time: 0.0257  memory: 25564  grad_norm: 2.6380  loss: 1.3912  caption_loss_cls: 2.4096  detection_loss_cls: 0.0381  detection_loss_reg: 0.3570  semantic_segmentation_loss_cls: 0.0098  grounding_loss_reg: 2.9410  instance_segmentation_loss_cls: 0.0373  instance_segmentation_loss_reg: 0.3489  instance_segmentation_loss_poly: 0.9575
2024/01/04 20:32:23 - mmengine - INFO - Iter(train) [159500/640000]  base_lr: 1.7088e-04 lr: 1.7088e-05  eta: 7 days, 19:29:32  time: 1.4141  data_time: 0.0258  memory: 25564  grad_norm: 2.6751  loss: 1.4044  caption_loss_cls: 2.4043  detection_loss_cls: 0.0382  detection_loss_reg: 0.3580  semantic_segmentation_loss_cls: 0.0098  grounding_loss_reg: 2.9384  instance_segmentation_loss_cls: 0.0372  instance_segmentation_loss_reg: 0.3493  instance_segmentation_loss_poly: 0.9563
2024/01/04 20:44:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 20:44:29 - mmengine - INFO - Iter(train) [160000/640000]  base_lr: 1.7071e-04 lr: 1.7071e-05  eta: 7 days, 19:21:44  time: 1.4189  data_time: 0.0260  memory: 25564  grad_norm: 2.6843  loss: 1.4204  caption_loss_cls: 2.4038  detection_loss_cls: 0.0384  detection_loss_reg: 0.3588  semantic_segmentation_loss_cls: 0.0098  grounding_loss_reg: 2.9417  instance_segmentation_loss_cls: 0.0374  instance_segmentation_loss_reg: 0.3492  instance_segmentation_loss_poly: 0.9572
2024/01/04 20:44:29 - mmengine - INFO - Saving checkpoint at 160000 iterations
2024/01/04 20:56:03 - mmengine - INFO - Evaluating bbox...
2024/01/04 20:56:59 - mmengine - INFO - bbox_mAP_copypaste: 0.478 0.656 0.527 0.317 0.533 0.615
2024/01/04 20:56:59 - mmengine - INFO - Evaluating segm...
2024/01/04 20:58:12 - mmengine - INFO - segm_mAP_copypaste: 0.308 0.558 0.302 0.164 0.354 0.465
2024/01/04 21:00:21 - mmengine - INFO - Evaluating bbox...
2024/01/04 21:01:19 - mmengine - INFO - bbox_mAP_copypaste: 0.478 0.656 0.527 0.316 0.533 0.615
2024/01/04 21:06:59 - mmengine - INFO - per class results:
2024/01/04 21:06:59 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 76.93 | 86.45 |
|       building      | 81.54 | 90.74 |
|         sky         | 92.69 | 98.06 |
|        floor        |  81.1 | 86.11 |
|         tree        | 71.98 | 82.86 |
|       ceiling       |  82.6 | 94.43 |
|         road        | 84.23 |  91.3 |
|         bed         | 88.59 | 93.67 |
|      windowpane     |  62.5 | 75.81 |
|        grass        | 65.87 |  80.2 |
|       cabinet       | 58.28 | 73.37 |
|       sidewalk      | 66.14 | 76.36 |
|        person       | 80.91 | 89.85 |
|        earth        | 30.58 | 39.78 |
|         door        | 52.62 | 75.21 |
|        table        | 60.82 | 78.29 |
|       mountain      | 54.18 | 89.34 |
|        plant        | 50.57 | 59.91 |
|       curtain       | 75.42 | 89.16 |
|        chair        | 59.94 |  76.6 |
|         car         | 83.07 | 90.89 |
|        water        | 57.24 | 69.59 |
|       painting      | 69.99 | 90.11 |
|         sofa        | 68.07 | 88.26 |
|        shelf        | 41.09 | 51.72 |
|        house        | 42.99 | 52.24 |
|         sea         | 60.58 | 83.51 |
|        mirror       | 63.25 | 67.49 |
|         rug         | 67.56 | 86.82 |
|        field        | 29.05 | 53.82 |
|       armchair      | 42.07 | 48.34 |
|         seat        |  64.8 | 81.86 |
|        fence        | 40.48 | 63.37 |
|         desk        | 43.37 | 65.84 |
|         rock        | 46.97 | 70.06 |
|       wardrobe      | 47.23 | 69.18 |
|         lamp        | 60.47 | 69.19 |
|       bathtub       | 80.74 | 85.31 |
|       railing       | 34.58 | 46.64 |
|       cushion       | 55.04 | 66.93 |
|         base        | 30.94 | 45.42 |
|         box         |  27.9 | 44.31 |
|        column       | 51.42 |  67.4 |
|      signboard      | 34.85 | 44.22 |
|   chest of drawers  | 44.49 | 67.28 |
|       counter       | 14.33 | 18.19 |
|         sand        | 40.99 | 67.96 |
|         sink        | 72.43 | 85.02 |
|      skyscraper     | 47.02 | 58.63 |
|      fireplace      | 70.13 | 92.67 |
|     refrigerator    | 75.49 | 83.55 |
|      grandstand     | 51.98 | 77.56 |
|         path        | 20.38 | 32.87 |
|        stairs       | 34.28 | 40.57 |
|        runway       | 67.17 | 90.99 |
|         case        | 49.25 | 68.39 |
|      pool table     | 89.48 | 95.81 |
|        pillow       | 56.57 | 85.86 |
|     screen door     |  54.3 | 59.24 |
|       stairway      | 41.29 | 69.24 |
|        river        | 17.05 | 22.45 |
|        bridge       | 31.96 | 53.95 |
|       bookcase      | 34.15 | 44.02 |
|        blind        | 50.19 | 61.23 |
|     coffee table    | 59.64 |  78.8 |
|        toilet       | 85.48 |  91.9 |
|        flower       | 36.46 | 55.73 |
|         book        | 44.49 | 77.75 |
|         hill        |  8.54 |  9.53 |
|        bench        | 45.91 | 59.07 |
|      countertop     | 60.27 | 74.14 |
|        stove        | 76.62 | 81.05 |
|         palm        | 42.88 | 64.94 |
|    kitchen island   | 38.51 | 70.47 |
|       computer      | 69.22 | 90.98 |
|     swivel chair    |  37.2 | 46.52 |
|         boat        | 76.42 | 85.28 |
|         bar         |  39.2 | 53.67 |
|    arcade machine   |  65.8 |  80.3 |
|        hovel        | 36.34 |  46.1 |
|         bus         | 90.75 | 92.83 |
|        towel        |  62.4 | 73.47 |
|        light        | 44.94 | 51.92 |
|        truck        | 42.51 | 64.69 |
|        tower        | 36.45 | 63.88 |
|      chandelier     |  63.3 | 79.53 |
|        awning       | 31.88 | 44.15 |
|     streetlight     | 27.93 | 34.57 |
|        booth        | 39.45 | 57.82 |
| television receiver | 58.98 | 61.59 |
|       airplane      | 75.09 | 91.28 |
|      dirt track     |  0.73 |  1.57 |
|       apparel       |  31.3 | 40.09 |
|         pole        |  26.4 | 38.54 |
|         land        |  6.83 |  7.71 |
|      bannister      | 17.27 | 25.75 |
|      escalator      | 23.76 | 26.65 |
|       ottoman       | 49.82 | 66.52 |
|        bottle       |  22.2 | 29.69 |
|        buffet       | 45.97 | 65.35 |
|        poster       | 26.96 | 65.63 |
|        stage        | 14.03 |  31.4 |
|         van         | 31.96 | 36.88 |
|         ship        | 10.55 | 11.08 |
|       fountain      | 21.83 | 22.13 |
|    conveyer belt    | 59.71 | 90.18 |
|        canopy       | 22.89 | 88.16 |
|        washer       | 48.91 | 73.45 |
|      plaything      | 26.01 | 35.35 |
|    swimming pool    | 75.84 | 82.75 |
|        stool        | 36.89 | 44.06 |
|        barrel       | 10.94 | 64.63 |
|        basket       | 31.99 | 39.68 |
|      waterfall      | 73.71 | 86.77 |
|         tent        | 78.15 | 96.21 |
|         bag         | 23.18 | 58.49 |
|       minibike      |  70.6 | 80.77 |
|        cradle       | 77.85 | 96.21 |
|         oven        | 44.82 | 57.67 |
|         ball        |  35.5 | 47.67 |
|         food        | 44.95 | 47.38 |
|         step        | 10.64 | 11.66 |
|         tank        |  42.4 | 44.42 |
|      trade name     | 30.03 |  38.3 |
|      microwave      | 61.63 | 65.13 |
|         pot         | 44.12 | 51.52 |
|        animal       | 66.96 | 82.19 |
|       bicycle       | 53.26 | 64.29 |
|         lake        | 37.97 | 53.29 |
|      dishwasher     | 68.02 | 78.87 |
|        screen       | 59.12 | 74.56 |
|       blanket       | 27.48 | 34.81 |
|      sculpture      | 42.07 | 85.36 |
|         hood        | 54.87 | 64.69 |
|        sconce       | 37.48 | 51.65 |
|         vase        | 36.32 | 59.74 |
|    traffic light    | 28.45 | 34.29 |
|         tray        |  8.63 | 14.95 |
|        ashcan       | 28.44 | 49.08 |
|         fan         | 55.05 |  75.4 |
|         pier        |  34.3 | 43.71 |
|      crt screen     |  2.13 |  7.15 |
|        plate        | 53.28 | 71.19 |
|       monitor       |  8.99 | 10.55 |
|    bulletin board   | 36.55 | 62.07 |
|        shower       |  0.29 |  0.35 |
|       radiator      | 64.17 | 75.57 |
|        glass        | 17.97 | 19.69 |
|        clock        | 33.84 | 42.96 |
|         flag        | 32.54 | 38.71 |
+---------------------+-------+-------+
2024/01/04 21:07:12 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4780  coco/bbox_mAP_50: 0.6560  coco/bbox_mAP_75: 0.5270  coco/bbox_mAP_s: 0.3160  coco/bbox_mAP_m: 0.5330  coco/bbox_mAP_l: 0.6150  coco/segm_mAP: 0.3080  coco/segm_mAP_50: 0.5580  coco/segm_mAP_75: 0.3020  coco/segm_mAP_s: 0.1640  coco/segm_mAP_m: 0.3540  coco/segm_mAP_l: 0.4650  Bleu_1: 0.7219  Bleu_2: 0.5509  Bleu_3: 0.4080  Bleu_4: 0.2993  METEOR: 0.2573  ROUGE_L: 0.5333  CIDEr: 0.9671  SPICE: 0.1877  aAcc: 82.3400  mIoU: 47.6600  mAcc: 61.6800  visual-grounding/miou: 0.7666  visual-grounding/acc: 0.8385  data_time: 0.0135  time: 1.9012
2024/01/04 21:18:50 - mmengine - INFO - Iter(train) [160500/640000]  base_lr: 1.7054e-04 lr: 1.7054e-05  eta: 7 days, 19:09:43  time: 1.4096  data_time: 0.0196  memory: 34656  grad_norm: 2.7168  loss: 1.4327  caption_loss_cls: 2.4037  detection_loss_cls: 0.0385  detection_loss_reg: 0.3603  semantic_segmentation_loss_cls: 0.0098  grounding_loss_reg: 2.9371  instance_segmentation_loss_cls: 0.0375  instance_segmentation_loss_reg: 0.3492  instance_segmentation_loss_poly: 0.9573
2024/01/04 21:30:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 21:30:49 - mmengine - INFO - Iter(train) [161000/640000]  base_lr: 1.7036e-04 lr: 1.7036e-05  eta: 7 days, 19:00:42  time: 1.4186  data_time: 0.0196  memory: 25564  grad_norm: 2.6722  loss: 1.4039  caption_loss_cls: 2.4062  detection_loss_cls: 0.0383  detection_loss_reg: 0.3589  semantic_segmentation_loss_cls: 0.0098  grounding_loss_reg: 2.9334  instance_segmentation_loss_cls: 0.0374  instance_segmentation_loss_reg: 0.3483  instance_segmentation_loss_poly: 0.9567
2024/01/04 21:42:41 - mmengine - INFO - Iter(train) [161500/640000]  base_lr: 1.7019e-04 lr: 1.7019e-05  eta: 7 days, 18:50:18  time: 1.4180  data_time: 0.0196  memory: 25564  grad_norm: 2.6656  loss: 1.3967  caption_loss_cls: 2.4087  detection_loss_cls: 0.0382  detection_loss_reg: 0.3576  semantic_segmentation_loss_cls: 0.0097  grounding_loss_reg: 2.9331  instance_segmentation_loss_cls: 0.0375  instance_segmentation_loss_reg: 0.3496  instance_segmentation_loss_poly: 0.9590
2024/01/04 21:54:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 21:54:39 - mmengine - INFO - Iter(train) [162000/640000]  base_lr: 1.7001e-04 lr: 1.7001e-05  eta: 7 days, 18:41:00  time: 1.4267  data_time: 0.0197  memory: 25564  grad_norm: 2.6373  loss: 1.3808  caption_loss_cls: 2.4071  detection_loss_cls: 0.0381  detection_loss_reg: 0.3569  semantic_segmentation_loss_cls: 0.0097  grounding_loss_reg: 2.9311  instance_segmentation_loss_cls: 0.0373  instance_segmentation_loss_reg: 0.3492  instance_segmentation_loss_poly: 0.9573
2024/01/04 21:54:39 - mmengine - INFO - Saving checkpoint at 162000 iterations
2024/01/04 22:06:50 - mmengine - INFO - Iter(train) [162500/640000]  base_lr: 1.6984e-04 lr: 1.6984e-05  eta: 7 days, 18:33:45  time: 1.4259  data_time: 0.0199  memory: 25564  grad_norm: 2.6506  loss: 1.3825  caption_loss_cls: 2.4008  detection_loss_cls: 0.0382  detection_loss_reg: 0.3564  semantic_segmentation_loss_cls: 0.0098  grounding_loss_reg: 2.9247  instance_segmentation_loss_cls: 0.0373  instance_segmentation_loss_reg: 0.3497  instance_segmentation_loss_poly: 0.9591
2024/01/04 22:17:59 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 22:17:59 - mmengine - INFO - Iter(train) [163000/640000]  base_lr: 1.6966e-04 lr: 1.6966e-05  eta: 7 days, 18:16:42  time: 1.4178  data_time: 0.0199  memory: 25564  grad_norm: 2.6897  loss: 1.3834  caption_loss_cls: 2.3958  detection_loss_cls: 0.0379  detection_loss_reg: 0.3542  semantic_segmentation_loss_cls: 0.0097  grounding_loss_reg: 2.9201  instance_segmentation_loss_cls: 0.0373  instance_segmentation_loss_reg: 0.3504  instance_segmentation_loss_poly: 0.9604
2024/01/04 22:29:35 - mmengine - INFO - Iter(train) [163500/640000]  base_lr: 1.6949e-04 lr: 1.6949e-05  eta: 7 days, 18:03:48  time: 1.4176  data_time: 0.0198  memory: 25564  grad_norm: 2.6609  loss: 1.3733  caption_loss_cls: 2.3930  detection_loss_cls: 0.0378  detection_loss_reg: 0.3536  semantic_segmentation_loss_cls: 0.0097  grounding_loss_reg: 2.9190  instance_segmentation_loss_cls: 0.0372  instance_segmentation_loss_reg: 0.3492  instance_segmentation_loss_poly: 0.9577
2024/01/04 22:41:15 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 22:41:15 - mmengine - INFO - Iter(train) [164000/640000]  base_lr: 1.6931e-04 lr: 1.6931e-05  eta: 7 days, 17:51:40  time: 1.4112  data_time: 0.0197  memory: 25564  grad_norm: 2.6547  loss: 1.3664  caption_loss_cls: 2.3946  detection_loss_cls: 0.0380  detection_loss_reg: 0.3549  semantic_segmentation_loss_cls: 0.0097  grounding_loss_reg: 2.9127  instance_segmentation_loss_cls: 0.0371  instance_segmentation_loss_reg: 0.3487  instance_segmentation_loss_poly: 0.9570
2024/01/04 22:41:15 - mmengine - INFO - Saving checkpoint at 164000 iterations
2024/01/04 22:53:02 - mmengine - INFO - Iter(train) [164500/640000]  base_lr: 1.6913e-04 lr: 1.6913e-05  eta: 7 days, 17:40:33  time: 1.4126  data_time: 0.0259  memory: 25564  grad_norm: 2.6320  loss: 1.3590  caption_loss_cls: 2.3922  detection_loss_cls: 0.0381  detection_loss_reg: 0.3563  semantic_segmentation_loss_cls: 0.0097  grounding_loss_reg: 2.9162  instance_segmentation_loss_cls: 0.0371  instance_segmentation_loss_reg: 0.3478  instance_segmentation_loss_poly: 0.9548
2024/01/04 23:04:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 23:04:56 - mmengine - INFO - Iter(train) [165000/640000]  base_lr: 1.6895e-04 lr: 1.6895e-05  eta: 7 days, 17:30:28  time: 1.4113  data_time: 0.0259  memory: 25564  grad_norm: 2.6594  loss: 1.3684  caption_loss_cls: 2.3898  detection_loss_cls: 0.0380  detection_loss_reg: 0.3562  semantic_segmentation_loss_cls: 0.0097  grounding_loss_reg: 2.9134  instance_segmentation_loss_cls: 0.0371  instance_segmentation_loss_reg: 0.3473  instance_segmentation_loss_poly: 0.9535
2024/01/04 23:16:34 - mmengine - INFO - Iter(train) [165500/640000]  base_lr: 1.6878e-04 lr: 1.6878e-05  eta: 7 days, 17:17:56  time: 1.4079  data_time: 0.0259  memory: 25564  grad_norm: 2.6832  loss: 1.3803  caption_loss_cls: 2.3903  detection_loss_cls: 0.0382  detection_loss_reg: 0.3576  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.9100  instance_segmentation_loss_cls: 0.0371  instance_segmentation_loss_reg: 0.3480  instance_segmentation_loss_poly: 0.9560
2024/01/04 23:28:19 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 23:28:19 - mmengine - INFO - Iter(train) [166000/640000]  base_lr: 1.6860e-04 lr: 1.6860e-05  eta: 7 days, 17:06:31  time: 1.4047  data_time: 0.0258  memory: 25564  grad_norm: 2.6709  loss: 1.3743  caption_loss_cls: 2.3890  detection_loss_cls: 0.0383  detection_loss_reg: 0.3579  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.9081  instance_segmentation_loss_cls: 0.0372  instance_segmentation_loss_reg: 0.3491  instance_segmentation_loss_poly: 0.9573
2024/01/04 23:28:19 - mmengine - INFO - Saving checkpoint at 166000 iterations
2024/01/04 23:40:34 - mmengine - INFO - Iter(train) [166500/640000]  base_lr: 1.6842e-04 lr: 1.6842e-05  eta: 7 days, 16:59:22  time: 1.4055  data_time: 0.0258  memory: 25564  grad_norm: 2.6444  loss: 1.3789  caption_loss_cls: 2.3836  detection_loss_cls: 0.0384  detection_loss_reg: 0.3584  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.9101  instance_segmentation_loss_cls: 0.0373  instance_segmentation_loss_reg: 0.3500  instance_segmentation_loss_poly: 0.9586
2024/01/04 23:52:02 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/04 23:52:02 - mmengine - INFO - Iter(train) [167000/640000]  base_lr: 1.6824e-04 lr: 1.6824e-05  eta: 7 days, 16:45:31  time: 1.4103  data_time: 0.0258  memory: 25564  grad_norm: 2.6194  loss: 1.3810  caption_loss_cls: 2.3842  detection_loss_cls: 0.0384  detection_loss_reg: 0.3584  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.9146  instance_segmentation_loss_cls: 0.0372  instance_segmentation_loss_reg: 0.3488  instance_segmentation_loss_poly: 0.9565
2024/01/05 00:03:39 - mmengine - INFO - Iter(train) [167500/640000]  base_lr: 1.6806e-04 lr: 1.6806e-05  eta: 7 days, 16:32:57  time: 1.4108  data_time: 0.0257  memory: 25564  grad_norm: 2.6004  loss: 1.3808  caption_loss_cls: 2.3787  detection_loss_cls: 0.0382  detection_loss_reg: 0.3566  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.9078  instance_segmentation_loss_cls: 0.0370  instance_segmentation_loss_reg: 0.3481  instance_segmentation_loss_poly: 0.9560
2024/01/05 00:15:37 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/05 00:15:37 - mmengine - INFO - Iter(train) [168000/640000]  base_lr: 1.6788e-04 lr: 1.6788e-05  eta: 7 days, 16:23:13  time: 1.4150  data_time: 0.0257  memory: 25564  grad_norm: 2.6324  loss: 1.3781  caption_loss_cls: 2.3793  detection_loss_cls: 0.0383  detection_loss_reg: 0.3567  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.9011  instance_segmentation_loss_cls: 0.0367  instance_segmentation_loss_reg: 0.3468  instance_segmentation_loss_poly: 0.9533
2024/01/05 00:15:37 - mmengine - INFO - Saving checkpoint at 168000 iterations
2024/01/05 00:27:29 - mmengine - INFO - Iter(train) [168500/640000]  base_lr: 1.6770e-04 lr: 1.6770e-05  eta: 7 days, 16:12:44  time: 1.4163  data_time: 0.0258  memory: 25564  grad_norm: 2.6835  loss: 1.4016  caption_loss_cls: 2.3814  detection_loss_cls: 0.0382  detection_loss_reg: 0.3561  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8945  instance_segmentation_loss_cls: 0.0366  instance_segmentation_loss_reg: 0.3453  instance_segmentation_loss_poly: 0.9522
2024/01/05 00:39:08 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/05 00:39:08 - mmengine - INFO - Iter(train) [169000/640000]  base_lr: 1.6752e-04 lr: 1.6752e-05  eta: 7 days, 16:00:21  time: 1.4125  data_time: 0.0256  memory: 25564  grad_norm: 2.6625  loss: 1.3824  caption_loss_cls: 2.3793  detection_loss_cls: 0.0380  detection_loss_reg: 0.3539  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8926  instance_segmentation_loss_cls: 0.0364  instance_segmentation_loss_reg: 0.3441  instance_segmentation_loss_poly: 0.9503
2024/01/05 00:50:43 - mmengine - INFO - Iter(train) [169500/640000]  base_lr: 1.6734e-04 lr: 1.6734e-05  eta: 7 days, 15:47:33  time: 1.4120  data_time: 0.0256  memory: 25564  grad_norm: 2.6325  loss: 1.3743  caption_loss_cls: 2.3741  detection_loss_cls: 0.0380  detection_loss_reg: 0.3532  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8913  instance_segmentation_loss_cls: 0.0364  instance_segmentation_loss_reg: 0.3448  instance_segmentation_loss_poly: 0.9517
2024/01/05 01:02:23 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240104_011054
2024/01/05 01:02:23 - mmengine - INFO - Iter(train) [170000/640000]  base_lr: 1.6716e-04 lr: 1.6716e-05  eta: 7 days, 15:35:23  time: 1.4107  data_time: 0.0256  memory: 25564  grad_norm: 2.6309  loss: 1.3820  caption_loss_cls: 2.3712  detection_loss_cls: 0.0381  detection_loss_reg: 0.3531  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8860  instance_segmentation_loss_cls: 0.0366  instance_segmentation_loss_reg: 0.3463  instance_segmentation_loss_poly: 0.9560
2024/01/05 01:02:23 - mmengine - INFO - Saving checkpoint at 170000 iterations
2024/01/05 02:15:09 - mmengine - INFO - Iter(train) [170500/640000]  base_lr: 1.6697e-04 lr: 1.6697e-05  eta: 8 days, 3:20:31  time: 1.4143  data_time: 0.0181  memory: 25568  grad_norm: 2.6313  loss: 1.3708  caption_loss_cls: 2.3656  detection_loss_cls: 0.0381  detection_loss_reg: 0.3540  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8831  instance_segmentation_loss_cls: 0.0365  instance_segmentation_loss_reg: 0.3458  instance_segmentation_loss_poly: 0.9564
2024/01/05 02:27:28 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 02:27:28 - mmengine - INFO - Iter(train) [171000/640000]  base_lr: 1.6679e-04 lr: 1.6679e-05  eta: 8 days, 1:46:00  time: 1.4268  data_time: 0.0179  memory: 25568  grad_norm: 2.6441  loss: 1.3680  caption_loss_cls: 2.3637  detection_loss_cls: 0.0380  detection_loss_reg: 0.3524  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8786  instance_segmentation_loss_cls: 0.0366  instance_segmentation_loss_reg: 0.3472  instance_segmentation_loss_poly: 0.9599
2024/01/05 02:39:57 - mmengine - INFO - Iter(train) [171500/640000]  base_lr: 1.6661e-04 lr: 1.6661e-05  eta: 8 days, 2:00:26  time: 1.4397  data_time: 0.0178  memory: 25568  grad_norm: 2.7037  loss: 1.3745  caption_loss_cls: 2.3657  detection_loss_cls: 0.0378  detection_loss_reg: 0.3508  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8777  instance_segmentation_loss_cls: 0.0366  instance_segmentation_loss_reg: 0.3484  instance_segmentation_loss_poly: 0.9612
2024/01/05 02:52:46 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 02:52:46 - mmengine - INFO - Iter(train) [172000/640000]  base_lr: 1.6643e-04 lr: 1.6643e-05  eta: 8 days, 3:20:17  time: 1.4527  data_time: 0.0176  memory: 25568  grad_norm: 2.7001  loss: 1.3826  caption_loss_cls: 2.3626  detection_loss_cls: 0.0377  detection_loss_reg: 0.3496  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8713  instance_segmentation_loss_cls: 0.0366  instance_segmentation_loss_reg: 0.3492  instance_segmentation_loss_poly: 0.9619
2024/01/05 02:52:46 - mmengine - INFO - Saving checkpoint at 172000 iterations
2024/01/05 03:05:53 - mmengine - INFO - Iter(train) [172500/640000]  base_lr: 1.6624e-04 lr: 1.6624e-05  eta: 8 days, 4:58:33  time: 1.4714  data_time: 0.0167  memory: 25568  grad_norm: 2.6947  loss: 1.3728  caption_loss_cls: 2.3597  detection_loss_cls: 0.0376  detection_loss_reg: 0.3502  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8653  instance_segmentation_loss_cls: 0.0369  instance_segmentation_loss_reg: 0.3512  instance_segmentation_loss_poly: 0.9655
2024/01/05 03:18:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 03:18:44 - mmengine - INFO - Iter(train) [173000/640000]  base_lr: 1.6606e-04 lr: 1.6606e-05  eta: 8 days, 5:18:32  time: 1.4895  data_time: 0.0167  memory: 25568  grad_norm: 2.7057  loss: 1.3883  caption_loss_cls: 2.3629  detection_loss_cls: 0.0377  detection_loss_reg: 0.3508  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8632  instance_segmentation_loss_cls: 0.0368  instance_segmentation_loss_reg: 0.3523  instance_segmentation_loss_poly: 0.9675
2024/01/05 03:31:32 - mmengine - INFO - Iter(train) [173500/640000]  base_lr: 1.6587e-04 lr: 1.6587e-05  eta: 8 days, 5:20:47  time: 1.5075  data_time: 0.0165  memory: 25568  grad_norm: 2.7542  loss: 1.3912  caption_loss_cls: 2.3534  detection_loss_cls: 0.0378  detection_loss_reg: 0.3519  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8566  instance_segmentation_loss_cls: 0.0366  instance_segmentation_loss_reg: 0.3514  instance_segmentation_loss_poly: 0.9658
2024/01/05 03:44:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 03:44:31 - mmengine - INFO - Iter(train) [174000/640000]  base_lr: 1.6569e-04 lr: 1.6569e-05  eta: 8 days, 5:43:03  time: 1.5274  data_time: 0.0163  memory: 25568  grad_norm: 2.7386  loss: 1.3846  caption_loss_cls: 2.3494  detection_loss_cls: 0.0380  detection_loss_reg: 0.3539  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8536  instance_segmentation_loss_cls: 0.0366  instance_segmentation_loss_reg: 0.3523  instance_segmentation_loss_poly: 0.9680
2024/01/05 03:44:31 - mmengine - INFO - Saving checkpoint at 174000 iterations
2024/01/05 03:57:28 - mmengine - INFO - Iter(train) [174500/640000]  base_lr: 1.6550e-04 lr: 1.6550e-05  eta: 8 days, 5:51:54  time: 1.5343  data_time: 0.0224  memory: 25568  grad_norm: 2.7699  loss: 1.3924  caption_loss_cls: 2.3412  detection_loss_cls: 0.0379  detection_loss_reg: 0.3536  semantic_segmentation_loss_cls: 0.0096  grounding_loss_reg: 2.8491  instance_segmentation_loss_cls: 0.0364  instance_segmentation_loss_reg: 0.3513  instance_segmentation_loss_poly: 0.9657
2024/01/05 04:10:32 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 04:10:32 - mmengine - INFO - Iter(train) [175000/640000]  base_lr: 1.6532e-04 lr: 1.6532e-05  eta: 8 days, 6:09:22  time: 1.5458  data_time: 0.0225  memory: 25568  grad_norm: 2.7272  loss: 1.3778  caption_loss_cls: 2.3429  detection_loss_cls: 0.0379  detection_loss_reg: 0.3540  semantic_segmentation_loss_cls: 0.0095  grounding_loss_reg: 2.8471  instance_segmentation_loss_cls: 0.0363  instance_segmentation_loss_reg: 0.3518  instance_segmentation_loss_poly: 0.9667
2024/01/05 04:24:13 - mmengine - INFO - Iter(train) [175500/640000]  base_lr: 1.6513e-04 lr: 1.6513e-05  eta: 8 days, 7:11:07  time: 1.5636  data_time: 0.0228  memory: 25568  grad_norm: 2.6724  loss: 1.3739  caption_loss_cls: 2.3481  detection_loss_cls: 0.0378  detection_loss_reg: 0.3533  semantic_segmentation_loss_cls: 0.0095  grounding_loss_reg: 2.8431  instance_segmentation_loss_cls: 0.0361  instance_segmentation_loss_reg: 0.3505  instance_segmentation_loss_poly: 0.9636
2024/01/05 04:36:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 04:36:52 - mmengine - INFO - Iter(train) [176000/640000]  base_lr: 1.6495e-04 lr: 1.6495e-05  eta: 8 days, 6:41:31  time: 1.5611  data_time: 0.0227  memory: 25568  grad_norm: 2.6828  loss: 1.3719  caption_loss_cls: 2.3573  detection_loss_cls: 0.0378  detection_loss_reg: 0.3522  semantic_segmentation_loss_cls: 0.0095  grounding_loss_reg: 2.8399  instance_segmentation_loss_cls: 0.0360  instance_segmentation_loss_reg: 0.3504  instance_segmentation_loss_poly: 0.9628
2024/01/05 04:36:52 - mmengine - INFO - Saving checkpoint at 176000 iterations
2024/01/05 04:50:04 - mmengine - INFO - Iter(train) [176500/640000]  base_lr: 1.6476e-04 lr: 1.6476e-05  eta: 8 days, 6:53:49  time: 1.5623  data_time: 0.0226  memory: 25568  grad_norm: 2.6872  loss: 1.3668  caption_loss_cls: 2.3571  detection_loss_cls: 0.0378  detection_loss_reg: 0.3521  semantic_segmentation_loss_cls: 0.0095  grounding_loss_reg: 2.8403  instance_segmentation_loss_cls: 0.0360  instance_segmentation_loss_reg: 0.3505  instance_segmentation_loss_poly: 0.9631
2024/01/05 05:03:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 05:03:11 - mmengine - INFO - Iter(train) [177000/640000]  base_lr: 1.6457e-04 lr: 1.6457e-05  eta: 8 days, 6:56:41  time: 1.5663  data_time: 0.0225  memory: 25568  grad_norm: 2.7082  loss: 1.3645  caption_loss_cls: 2.3579  detection_loss_cls: 0.0380  detection_loss_reg: 0.3538  semantic_segmentation_loss_cls: 0.0095  grounding_loss_reg: 2.8382  instance_segmentation_loss_cls: 0.0358  instance_segmentation_loss_reg: 0.3474  instance_segmentation_loss_poly: 0.9564
2024/01/05 05:15:42 - mmengine - INFO - Iter(train) [177500/640000]  base_lr: 1.6438e-04 lr: 1.6438e-05  eta: 8 days, 6:20:47  time: 1.5622  data_time: 0.0225  memory: 25568  grad_norm: 2.6940  loss: 1.3718  caption_loss_cls: 2.3583  detection_loss_cls: 0.0377  detection_loss_reg: 0.3518  semantic_segmentation_loss_cls: 0.0095  grounding_loss_reg: 2.8365  instance_segmentation_loss_cls: 0.0359  instance_segmentation_loss_reg: 0.3478  instance_segmentation_loss_poly: 0.9564
2024/01/05 05:28:48 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 05:28:48 - mmengine - INFO - Iter(train) [178000/640000]  base_lr: 1.6420e-04 lr: 1.6420e-05  eta: 8 days, 6:21:06  time: 1.5638  data_time: 0.0224  memory: 25568  grad_norm: 2.7006  loss: 1.3724  caption_loss_cls: 2.3504  detection_loss_cls: 0.0376  detection_loss_reg: 0.3511  semantic_segmentation_loss_cls: 0.0095  grounding_loss_reg: 2.8328  instance_segmentation_loss_cls: 0.0359  instance_segmentation_loss_reg: 0.3476  instance_segmentation_loss_poly: 0.9567
2024/01/05 05:28:48 - mmengine - INFO - Saving checkpoint at 178000 iterations
2024/01/05 05:42:05 - mmengine - INFO - Iter(train) [178500/640000]  base_lr: 1.6401e-04 lr: 1.6401e-05  eta: 8 days, 6:30:35  time: 1.5691  data_time: 0.0226  memory: 25568  grad_norm: 2.7109  loss: 1.3771  caption_loss_cls: 2.3411  detection_loss_cls: 0.0377  detection_loss_reg: 0.3521  semantic_segmentation_loss_cls: 0.0095  grounding_loss_reg: 2.8344  instance_segmentation_loss_cls: 0.0357  instance_segmentation_loss_reg: 0.3465  instance_segmentation_loss_poly: 0.9529
2024/01/05 05:55:00 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 05:55:00 - mmengine - INFO - Iter(train) [179000/640000]  base_lr: 1.6382e-04 lr: 1.6382e-05  eta: 8 days, 6:18:00  time: 1.5666  data_time: 0.0227  memory: 25568  grad_norm: 2.7148  loss: 1.3864  caption_loss_cls: 2.3242  detection_loss_cls: 0.0375  detection_loss_reg: 0.3516  semantic_segmentation_loss_cls: 0.0094  grounding_loss_reg: 2.8351  instance_segmentation_loss_cls: 0.0357  instance_segmentation_loss_reg: 0.3476  instance_segmentation_loss_poly: 0.9558
2024/01/05 06:07:54 - mmengine - INFO - Iter(train) [179500/640000]  base_lr: 1.6363e-04 lr: 1.6363e-05  eta: 8 days, 6:04:22  time: 1.5549  data_time: 0.0225  memory: 25568  grad_norm: 2.7070  loss: 1.3778  caption_loss_cls: 2.3195  detection_loss_cls: 0.0376  detection_loss_reg: 0.3523  semantic_segmentation_loss_cls: 0.0094  grounding_loss_reg: 2.8374  instance_segmentation_loss_cls: 0.0357  instance_segmentation_loss_reg: 0.3467  instance_segmentation_loss_poly: 0.9539
2024/01/05 06:20:51 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 06:20:51 - mmengine - INFO - Iter(train) [180000/640000]  base_lr: 1.6344e-04 lr: 1.6344e-05  eta: 8 days, 5:54:01  time: 1.5596  data_time: 0.0226  memory: 25568  grad_norm: 2.7280  loss: 1.3735  caption_loss_cls: 2.3150  detection_loss_cls: 0.0373  detection_loss_reg: 0.3506  semantic_segmentation_loss_cls: 0.0094  grounding_loss_reg: 2.8314  instance_segmentation_loss_cls: 0.0356  instance_segmentation_loss_reg: 0.3472  instance_segmentation_loss_poly: 0.9546
2024/01/05 06:20:51 - mmengine - INFO - Saving checkpoint at 180000 iterations
2024/01/05 06:32:22 - mmengine - INFO - Evaluating bbox...
2024/01/05 06:33:18 - mmengine - INFO - bbox_mAP_copypaste: 0.475 0.657 0.524 0.319 0.528 0.616
2024/01/05 06:33:18 - mmengine - INFO - Evaluating segm...
2024/01/05 06:34:32 - mmengine - INFO - segm_mAP_copypaste: 0.304 0.562 0.293 0.165 0.359 0.479
2024/01/05 06:36:42 - mmengine - INFO - Evaluating bbox...
2024/01/05 06:37:41 - mmengine - INFO - bbox_mAP_copypaste: 0.474 0.656 0.522 0.319 0.526 0.614
2024/01/05 06:44:16 - mmengine - INFO - per class results:
2024/01/05 06:44:16 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 77.78 | 89.92 |
|       building      | 81.65 | 91.95 |
|         sky         | 93.36 | 97.23 |
|        floor        |  81.9 | 89.13 |
|         tree        |  74.5 | 86.03 |
|       ceiling       | 84.77 | 92.13 |
|         road        | 84.34 | 91.08 |
|         bed         | 89.96 | 94.73 |
|      windowpane     | 63.41 | 81.07 |
|        grass        | 52.94 | 59.51 |
|       cabinet       | 60.06 | 70.75 |
|       sidewalk      | 65.57 | 82.09 |
|        person       | 81.26 | 89.56 |
|        earth        | 37.08 |  58.7 |
|         door        | 49.05 | 54.08 |
|        table        | 62.39 | 78.95 |
|       mountain      | 53.52 | 58.17 |
|        plant        | 50.93 | 58.08 |
|       curtain       |  74.3 | 86.39 |
|        chair        | 60.27 | 77.91 |
|         car         | 83.58 | 89.07 |
|        water        | 22.91 | 25.29 |
|       painting      | 72.13 |  83.6 |
|         sofa        | 72.12 | 84.98 |
|        shelf        | 40.95 | 75.06 |
|        house        | 39.32 | 53.04 |
|         sea         | 43.12 | 81.71 |
|        mirror       | 67.19 | 75.25 |
|         rug         | 61.39 |  68.1 |
|        field        | 26.25 | 77.89 |
|       armchair      |  48.9 | 59.13 |
|         seat        | 65.71 | 81.72 |
|        fence        | 38.85 | 66.61 |
|         desk        | 39.75 |  72.0 |
|         rock        |  51.2 | 74.78 |
|       wardrobe      |  20.7 | 21.08 |
|         lamp        | 60.26 | 77.22 |
|       bathtub       | 80.25 | 88.96 |
|       railing       |  30.5 | 37.27 |
|       cushion       |  56.4 | 77.78 |
|         base        | 33.21 | 51.34 |
|         box         | 26.02 | 34.05 |
|        column       |  50.7 | 61.36 |
|      signboard      | 38.46 | 56.36 |
|   chest of drawers  | 29.66 |  51.2 |
|       counter       | 34.42 | 50.25 |
|         sand        | 28.13 | 75.68 |
|         sink        | 72.48 | 78.66 |
|      skyscraper     |  46.1 |  53.8 |
|      fireplace      | 71.06 | 83.74 |
|     refrigerator    |  70.7 | 72.86 |
|      grandstand     | 48.18 | 71.67 |
|         path        | 16.16 | 18.78 |
|        stairs       | 38.59 | 46.89 |
|        runway       | 77.43 | 93.66 |
|         case        | 50.64 | 88.29 |
|      pool table     | 91.14 | 94.49 |
|        pillow       | 51.58 | 56.77 |
|     screen door     | 76.67 | 82.18 |
|       stairway      | 41.98 | 55.85 |
|        river        | 11.17 | 38.71 |
|        bridge       | 41.81 | 72.27 |
|       bookcase      | 35.02 | 40.48 |
|        blind        | 45.76 | 50.67 |
|     coffee table    | 63.92 | 77.08 |
|        toilet       | 85.17 | 91.14 |
|        flower       | 39.53 | 57.84 |
|         book        | 48.05 | 65.44 |
|         hill        |  3.73 |  4.9  |
|        bench        | 50.83 | 57.38 |
|      countertop     | 59.19 | 76.33 |
|        stove        | 73.12 | 76.49 |
|         palm        | 47.48 |  75.7 |
|    kitchen island   | 42.23 | 81.28 |
|       computer      |  73.9 | 89.93 |
|     swivel chair    | 28.74 | 31.95 |
|         boat        | 56.95 | 84.78 |
|         bar         | 41.94 |  54.6 |
|    arcade machine   | 77.96 | 80.29 |
|        hovel        | 18.24 | 22.96 |
|         bus         | 91.17 | 95.68 |
|        towel        | 61.26 | 72.53 |
|        light        |  47.0 |  59.4 |
|        truck        | 37.27 | 55.34 |
|        tower        | 19.09 | 32.18 |
|      chandelier     | 62.12 | 87.98 |
|        awning       | 36.21 | 51.83 |
|     streetlight     | 29.86 | 64.55 |
|        booth        | 48.48 | 55.65 |
| television receiver | 74.64 | 86.34 |
|       airplane      | 71.87 | 82.25 |
|      dirt track     |  4.41 | 16.49 |
|       apparel       | 28.39 | 37.76 |
|         pole        | 20.74 | 34.94 |
|         land        |  2.68 |  4.7  |
|      bannister      | 16.97 | 24.41 |
|      escalator      | 35.37 | 44.98 |
|       ottoman       | 51.76 | 73.89 |
|        bottle       |  22.6 | 29.54 |
|        buffet       |  47.2 | 52.08 |
|        poster       | 37.05 | 61.92 |
|        stage        | 17.94 | 27.64 |
|         van         | 47.47 | 63.53 |
|         ship        |  5.43 |  5.78 |
|       fountain      | 26.17 | 27.52 |
|    conveyer belt    | 78.26 | 88.54 |
|        canopy       | 38.24 | 62.98 |
|        washer       | 59.96 |  66.7 |
|      plaything      | 34.16 | 39.08 |
|    swimming pool    | 57.25 |  63.3 |
|        stool        | 45.28 | 58.14 |
|        barrel       | 13.02 | 51.79 |
|        basket       | 32.45 | 42.09 |
|      waterfall      |  73.5 | 90.65 |
|         tent        | 87.51 | 97.77 |
|         bag         | 26.76 | 36.93 |
|       minibike      | 73.44 | 79.36 |
|        cradle       | 77.42 | 96.35 |
|         oven        | 41.65 | 62.55 |
|         ball        |  35.1 | 54.33 |
|         food        | 49.61 |  53.4 |
|         step        |  8.08 |  9.19 |
|         tank        | 49.12 | 51.64 |
|      trade name     |  9.39 |  9.8  |
|      microwave      | 75.67 | 82.13 |
|         pot         | 48.33 |  55.6 |
|        animal       | 59.09 | 61.28 |
|       bicycle       | 47.71 | 53.14 |
|         lake        |  4.29 |  5.92 |
|      dishwasher     | 57.43 | 64.03 |
|        screen       | 66.91 | 77.81 |
|       blanket       | 23.51 | 27.46 |
|      sculpture      | 52.75 | 87.11 |
|         hood        | 32.95 | 95.07 |
|        sconce       | 43.64 | 60.79 |
|         vase        | 40.73 | 52.21 |
|    traffic light    | 38.85 |  61.6 |
|         tray        | 10.12 | 13.14 |
|        ashcan       | 35.98 | 46.03 |
|         fan         |  62.2 | 76.32 |
|         pier        | 33.95 | 45.66 |
|      crt screen     |  2.1  |  4.25 |
|        plate        | 55.94 | 70.65 |
|       monitor       | 15.87 | 16.93 |
|    bulletin board   | 35.87 | 45.54 |
|        shower       |  0.25 |  0.41 |
|       radiator      | 63.79 | 72.71 |
|        glass        | 17.33 | 18.96 |
|        clock        | 32.51 | 46.55 |
|         flag        | 32.58 |  35.4 |
+---------------------+-------+-------+
2024/01/05 06:44:30 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4740  coco/bbox_mAP_50: 0.6560  coco/bbox_mAP_75: 0.5220  coco/bbox_mAP_s: 0.3190  coco/bbox_mAP_m: 0.5260  coco/bbox_mAP_l: 0.6140  coco/segm_mAP: 0.3040  coco/segm_mAP_50: 0.5620  coco/segm_mAP_75: 0.2930  coco/segm_mAP_s: 0.1650  coco/segm_mAP_m: 0.3590  coco/segm_mAP_l: 0.4790  Bleu_1: 0.7419  Bleu_2: 0.5691  Bleu_3: 0.4231  Bleu_4: 0.3094  METEOR: 0.2575  ROUGE_L: 0.5404  CIDEr: 1.0095  SPICE: 0.1917  aAcc: 82.1300  mIoU: 47.7500  mAcc: 60.7100  visual-grounding/miou: 0.7689  visual-grounding/acc: 0.8381  data_time: 0.0296  time: 1.9200
2024/01/05 06:57:14 - mmengine - INFO - Iter(train) [180500/640000]  base_lr: 1.6325e-04 lr: 1.6325e-05  eta: 8 days, 5:35:18  time: 1.5532  data_time: 0.0174  memory: 34658  grad_norm: 2.6794  loss: 1.3579  caption_loss_cls: 2.3125  detection_loss_cls: 0.0371  detection_loss_reg: 0.3496  semantic_segmentation_loss_cls: 0.0094  grounding_loss_reg: 2.8321  instance_segmentation_loss_cls: 0.0355  instance_segmentation_loss_reg: 0.3477  instance_segmentation_loss_poly: 0.9552
2024/01/05 07:09:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 07:09:53 - mmengine - INFO - Iter(train) [181000/640000]  base_lr: 1.6306e-04 lr: 1.6306e-05  eta: 8 days, 5:11:48  time: 1.5462  data_time: 0.0176  memory: 25568  grad_norm: 2.6600  loss: 1.3571  caption_loss_cls: 2.3093  detection_loss_cls: 0.0371  detection_loss_reg: 0.3495  semantic_segmentation_loss_cls: 0.0094  grounding_loss_reg: 2.8320  instance_segmentation_loss_cls: 0.0356  instance_segmentation_loss_reg: 0.3479  instance_segmentation_loss_poly: 0.9552
2024/01/05 07:22:07 - mmengine - INFO - Iter(train) [181500/640000]  base_lr: 1.6287e-04 lr: 1.6287e-05  eta: 8 days, 4:32:31  time: 1.5419  data_time: 0.0179  memory: 25568  grad_norm: 2.6599  loss: 1.3580  caption_loss_cls: 2.3055  detection_loss_cls: 0.0369  detection_loss_reg: 0.3479  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.8279  instance_segmentation_loss_cls: 0.0356  instance_segmentation_loss_reg: 0.3482  instance_segmentation_loss_poly: 0.9565
2024/01/05 07:34:58 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 07:34:58 - mmengine - INFO - Iter(train) [182000/640000]  base_lr: 1.6268e-04 lr: 1.6268e-05  eta: 8 days, 4:19:38  time: 1.5384  data_time: 0.0182  memory: 25568  grad_norm: 2.6626  loss: 1.3676  caption_loss_cls: 2.3056  detection_loss_cls: 0.0367  detection_loss_reg: 0.3467  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.8282  instance_segmentation_loss_cls: 0.0359  instance_segmentation_loss_reg: 0.3493  instance_segmentation_loss_poly: 0.9589
2024/01/05 07:34:58 - mmengine - INFO - Saving checkpoint at 182000 iterations
2024/01/05 07:47:35 - mmengine - INFO - Iter(train) [182500/640000]  base_lr: 1.6249e-04 lr: 1.6249e-05  eta: 8 days, 3:57:25  time: 1.5280  data_time: 0.0197  memory: 25568  grad_norm: 2.6490  loss: 1.3745  caption_loss_cls: 2.3123  detection_loss_cls: 0.0366  detection_loss_reg: 0.3464  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.8281  instance_segmentation_loss_cls: 0.0361  instance_segmentation_loss_reg: 0.3500  instance_segmentation_loss_poly: 0.9612
2024/01/05 08:00:23 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 08:00:23 - mmengine - INFO - Iter(train) [183000/640000]  base_lr: 1.6229e-04 lr: 1.6229e-05  eta: 8 days, 3:42:50  time: 1.5264  data_time: 0.0198  memory: 25568  grad_norm: 2.6232  loss: 1.3506  caption_loss_cls: 2.3063  detection_loss_cls: 0.0369  detection_loss_reg: 0.3500  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.8272  instance_segmentation_loss_cls: 0.0358  instance_segmentation_loss_reg: 0.3466  instance_segmentation_loss_poly: 0.9530
2024/01/05 08:12:49 - mmengine - INFO - Iter(train) [183500/640000]  base_lr: 1.6210e-04 lr: 1.6210e-05  eta: 8 days, 3:15:48  time: 1.5195  data_time: 0.0200  memory: 25568  grad_norm: 2.6212  loss: 1.3548  caption_loss_cls: 2.3092  detection_loss_cls: 0.0370  detection_loss_reg: 0.3505  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8221  instance_segmentation_loss_cls: 0.0359  instance_segmentation_loss_reg: 0.3485  instance_segmentation_loss_poly: 0.9575
2024/01/05 08:25:13 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 08:25:13 - mmengine - INFO - Iter(train) [184000/640000]  base_lr: 1.6191e-04 lr: 1.6191e-05  eta: 8 days, 2:48:37  time: 1.5110  data_time: 0.0202  memory: 25568  grad_norm: 2.5924  loss: 1.3698  caption_loss_cls: 2.3090  detection_loss_cls: 0.0372  detection_loss_reg: 0.3512  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8254  instance_segmentation_loss_cls: 0.0358  instance_segmentation_loss_reg: 0.3483  instance_segmentation_loss_poly: 0.9572
2024/01/05 08:25:13 - mmengine - INFO - Saving checkpoint at 184000 iterations
2024/01/05 08:38:22 - mmengine - INFO - Iter(train) [184500/640000]  base_lr: 1.6172e-04 lr: 1.6172e-05  eta: 8 days, 2:46:28  time: 1.5167  data_time: 0.0265  memory: 25568  grad_norm: 2.5894  loss: 1.3753  caption_loss_cls: 2.3040  detection_loss_cls: 0.0372  detection_loss_reg: 0.3499  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8229  instance_segmentation_loss_cls: 0.0358  instance_segmentation_loss_reg: 0.3492  instance_segmentation_loss_poly: 0.9597
2024/01/05 08:51:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 08:51:12 - mmengine - INFO - Iter(train) [185000/640000]  base_lr: 1.6152e-04 lr: 1.6152e-05  eta: 8 days, 2:33:53  time: 1.5195  data_time: 0.0265  memory: 25568  grad_norm: 2.6100  loss: 1.3781  caption_loss_cls: 2.3012  detection_loss_cls: 0.0371  detection_loss_reg: 0.3500  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8234  instance_segmentation_loss_cls: 0.0356  instance_segmentation_loss_reg: 0.3477  instance_segmentation_loss_poly: 0.9573
2024/01/05 09:03:27 - mmengine - INFO - Iter(train) [185500/640000]  base_lr: 1.6133e-04 lr: 1.6133e-05  eta: 8 days, 2:03:50  time: 1.5198  data_time: 0.0265  memory: 25568  grad_norm: 2.6252  loss: 1.3699  caption_loss_cls: 2.2948  detection_loss_cls: 0.0372  detection_loss_reg: 0.3499  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8223  instance_segmentation_loss_cls: 0.0358  instance_segmentation_loss_reg: 0.3489  instance_segmentation_loss_poly: 0.9587
2024/01/05 09:16:15 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 09:16:15 - mmengine - INFO - Iter(train) [186000/640000]  base_lr: 1.6114e-04 lr: 1.6114e-05  eta: 8 days, 1:50:29  time: 1.5187  data_time: 0.0265  memory: 25568  grad_norm: 2.6161  loss: 1.3514  caption_loss_cls: 2.2952  detection_loss_cls: 0.0371  detection_loss_reg: 0.3483  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8211  instance_segmentation_loss_cls: 0.0355  instance_segmentation_loss_reg: 0.3472  instance_segmentation_loss_poly: 0.9552
2024/01/05 09:16:15 - mmengine - INFO - Saving checkpoint at 186000 iterations
2024/01/05 09:29:30 - mmengine - INFO - Iter(train) [186500/640000]  base_lr: 1.6094e-04 lr: 1.6094e-05  eta: 8 days, 1:49:48  time: 1.5284  data_time: 0.0259  memory: 25568  grad_norm: 2.6296  loss: 1.3339  caption_loss_cls: 2.2845  detection_loss_cls: 0.0369  detection_loss_reg: 0.3470  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8158  instance_segmentation_loss_cls: 0.0354  instance_segmentation_loss_reg: 0.3454  instance_segmentation_loss_poly: 0.9507
2024/01/05 09:41:55 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 09:41:55 - mmengine - INFO - Iter(train) [187000/640000]  base_lr: 1.6075e-04 lr: 1.6075e-05  eta: 8 days, 1:26:13  time: 1.5227  data_time: 0.0259  memory: 25568  grad_norm: 2.6615  loss: 1.3459  caption_loss_cls: 2.2846  detection_loss_cls: 0.0369  detection_loss_reg: 0.3476  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8086  instance_segmentation_loss_cls: 0.0354  instance_segmentation_loss_reg: 0.3454  instance_segmentation_loss_poly: 0.9502
2024/01/05 09:54:21 - mmengine - INFO - Iter(train) [187500/640000]  base_lr: 1.6055e-04 lr: 1.6055e-05  eta: 8 days, 1:03:19  time: 1.5226  data_time: 0.0258  memory: 25568  grad_norm: 2.6758  loss: 1.3449  caption_loss_cls: 2.2800  detection_loss_cls: 0.0368  detection_loss_reg: 0.3470  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8092  instance_segmentation_loss_cls: 0.0356  instance_segmentation_loss_reg: 0.3472  instance_segmentation_loss_poly: 0.9534
2024/01/05 10:06:59 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 10:06:59 - mmengine - INFO - Iter(train) [188000/640000]  base_lr: 1.6036e-04 lr: 1.6036e-05  eta: 8 days, 0:46:30  time: 1.5263  data_time: 0.0258  memory: 25568  grad_norm: 2.6432  loss: 1.3223  caption_loss_cls: 2.2744  detection_loss_cls: 0.0365  detection_loss_reg: 0.3451  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8086  instance_segmentation_loss_cls: 0.0357  instance_segmentation_loss_reg: 0.3475  instance_segmentation_loss_poly: 0.9526
2024/01/05 10:06:59 - mmengine - INFO - Saving checkpoint at 188000 iterations
2024/01/05 10:20:04 - mmengine - INFO - Iter(train) [188500/640000]  base_lr: 1.6016e-04 lr: 1.6016e-05  eta: 8 days, 0:40:27  time: 1.5250  data_time: 0.0259  memory: 25568  grad_norm: 2.6732  loss: 1.3263  caption_loss_cls: 2.2752  detection_loss_cls: 0.0366  detection_loss_reg: 0.3458  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8088  instance_segmentation_loss_cls: 0.0359  instance_segmentation_loss_reg: 0.3483  instance_segmentation_loss_poly: 0.9534
2024/01/05 10:32:16 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 10:32:16 - mmengine - INFO - Iter(train) [189000/640000]  base_lr: 1.5996e-04 lr: 1.5996e-05  eta: 8 days, 0:13:29  time: 1.5155  data_time: 0.0259  memory: 25568  grad_norm: 2.6848  loss: 1.3374  caption_loss_cls: 2.2749  detection_loss_cls: 0.0366  detection_loss_reg: 0.3472  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8097  instance_segmentation_loss_cls: 0.0360  instance_segmentation_loss_reg: 0.3500  instance_segmentation_loss_poly: 0.9556
2024/01/05 10:45:21 - mmengine - INFO - Iter(train) [189500/640000]  base_lr: 1.5977e-04 lr: 1.5977e-05  eta: 8 days, 0:07:25  time: 1.5281  data_time: 0.0261  memory: 25568  grad_norm: 2.6346  loss: 1.3275  caption_loss_cls: 2.2749  detection_loss_cls: 0.0365  detection_loss_reg: 0.3468  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8074  instance_segmentation_loss_cls: 0.0363  instance_segmentation_loss_reg: 0.3512  instance_segmentation_loss_poly: 0.9578
2024/01/05 10:57:46 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 10:57:46 - mmengine - INFO - Iter(train) [190000/640000]  base_lr: 1.5957e-04 lr: 1.5957e-05  eta: 7 days, 23:46:04  time: 1.5224  data_time: 0.0260  memory: 25568  grad_norm: 2.6867  loss: 1.3505  caption_loss_cls: 2.2803  detection_loss_cls: 0.0365  detection_loss_reg: 0.3483  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8036  instance_segmentation_loss_cls: 0.0363  instance_segmentation_loss_reg: 0.3516  instance_segmentation_loss_poly: 0.9581
2024/01/05 10:57:46 - mmengine - INFO - Saving checkpoint at 190000 iterations
2024/01/05 11:11:02 - mmengine - INFO - Iter(train) [190500/640000]  base_lr: 1.5937e-04 lr: 1.5937e-05  eta: 7 days, 23:43:37  time: 1.5225  data_time: 0.0261  memory: 25568  grad_norm: 2.6848  loss: 1.3517  caption_loss_cls: 2.2727  detection_loss_cls: 0.0365  detection_loss_reg: 0.3467  semantic_segmentation_loss_cls: 0.0091  grounding_loss_reg: 2.8025  instance_segmentation_loss_cls: 0.0365  instance_segmentation_loss_reg: 0.3513  instance_segmentation_loss_poly: 0.9575
2024/01/05 11:23:18 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 11:23:18 - mmengine - INFO - Iter(train) [191000/640000]  base_lr: 1.5918e-04 lr: 1.5918e-05  eta: 7 days, 23:19:23  time: 1.5202  data_time: 0.0261  memory: 25568  grad_norm: 2.7005  loss: 1.3613  caption_loss_cls: 2.2732  detection_loss_cls: 0.0364  detection_loss_reg: 0.3462  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8003  instance_segmentation_loss_cls: 0.0364  instance_segmentation_loss_reg: 0.3521  instance_segmentation_loss_poly: 0.9580
2024/01/05 11:35:57 - mmengine - INFO - Iter(train) [191500/640000]  base_lr: 1.5898e-04 lr: 1.5898e-05  eta: 7 days, 23:03:46  time: 1.5236  data_time: 0.0261  memory: 25568  grad_norm: 2.7118  loss: 1.3577  caption_loss_cls: 2.2703  detection_loss_cls: 0.0365  detection_loss_reg: 0.3461  semantic_segmentation_loss_cls: 0.0091  grounding_loss_reg: 2.7964  instance_segmentation_loss_cls: 0.0364  instance_segmentation_loss_reg: 0.3525  instance_segmentation_loss_poly: 0.9593
2024/01/05 11:48:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 11:48:52 - mmengine - INFO - Iter(train) [192000/640000]  base_lr: 1.5878e-04 lr: 1.5878e-05  eta: 7 days, 22:54:01  time: 1.5279  data_time: 0.0261  memory: 25568  grad_norm: 2.6968  loss: 1.3550  caption_loss_cls: 2.2746  detection_loss_cls: 0.0363  detection_loss_reg: 0.3456  semantic_segmentation_loss_cls: 0.0091  grounding_loss_reg: 2.7990  instance_segmentation_loss_cls: 0.0362  instance_segmentation_loss_reg: 0.3505  instance_segmentation_loss_poly: 0.9560
2024/01/05 11:48:52 - mmengine - INFO - Saving checkpoint at 192000 iterations
2024/01/05 12:02:00 - mmengine - INFO - Iter(train) [192500/640000]  base_lr: 1.5858e-04 lr: 1.5858e-05  eta: 7 days, 22:47:52  time: 1.5286  data_time: 0.0259  memory: 25568  grad_norm: 2.6545  loss: 1.3581  caption_loss_cls: 2.2744  detection_loss_cls: 0.0362  detection_loss_reg: 0.3432  semantic_segmentation_loss_cls: 0.0091  grounding_loss_reg: 2.8018  instance_segmentation_loss_cls: 0.0364  instance_segmentation_loss_reg: 0.3515  instance_segmentation_loss_poly: 0.9591
2024/01/05 12:14:10 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 12:14:10 - mmengine - INFO - Iter(train) [193000/640000]  base_lr: 1.5838e-04 lr: 1.5838e-05  eta: 7 days, 22:22:57  time: 1.5280  data_time: 0.0258  memory: 25568  grad_norm: 2.6628  loss: 1.3490  caption_loss_cls: 2.2750  detection_loss_cls: 0.0361  detection_loss_reg: 0.3421  semantic_segmentation_loss_cls: 0.0091  grounding_loss_reg: 2.8028  instance_segmentation_loss_cls: 0.0362  instance_segmentation_loss_reg: 0.3495  instance_segmentation_loss_poly: 0.9558
2024/01/05 12:26:30 - mmengine - INFO - Iter(train) [193500/640000]  base_lr: 1.5818e-04 lr: 1.5818e-05  eta: 7 days, 22:01:47  time: 1.5169  data_time: 0.0256  memory: 25568  grad_norm: 2.7123  loss: 1.3614  caption_loss_cls: 2.2760  detection_loss_cls: 0.0361  detection_loss_reg: 0.3417  semantic_segmentation_loss_cls: 0.0091  grounding_loss_reg: 2.8028  instance_segmentation_loss_cls: 0.0361  instance_segmentation_loss_reg: 0.3476  instance_segmentation_loss_poly: 0.9522
2024/01/05 12:38:57 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 12:38:57 - mmengine - INFO - Iter(train) [194000/640000]  base_lr: 1.5798e-04 lr: 1.5798e-05  eta: 7 days, 21:42:57  time: 1.5173  data_time: 0.0257  memory: 25568  grad_norm: 2.7185  loss: 1.3577  caption_loss_cls: 2.2788  detection_loss_cls: 0.0359  detection_loss_reg: 0.3389  semantic_segmentation_loss_cls: 0.0091  grounding_loss_reg: 2.8021  instance_segmentation_loss_cls: 0.0361  instance_segmentation_loss_reg: 0.3462  instance_segmentation_loss_poly: 0.9488
2024/01/05 12:38:57 - mmengine - INFO - Saving checkpoint at 194000 iterations
2024/01/05 12:52:02 - mmengine - INFO - Iter(train) [194500/640000]  base_lr: 1.5778e-04 lr: 1.5778e-05  eta: 7 days, 21:36:05  time: 1.5148  data_time: 0.0256  memory: 25568  grad_norm: 2.7226  loss: 1.3536  caption_loss_cls: 2.2740  detection_loss_cls: 0.0360  detection_loss_reg: 0.3395  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.8003  instance_segmentation_loss_cls: 0.0360  instance_segmentation_loss_reg: 0.3450  instance_segmentation_loss_poly: 0.9459
2024/01/05 13:05:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 13:05:12 - mmengine - INFO - Iter(train) [195000/640000]  base_lr: 1.5758e-04 lr: 1.5758e-05  eta: 7 days, 21:30:24  time: 1.5283  data_time: 0.0257  memory: 25568  grad_norm: 2.7088  loss: 1.3435  caption_loss_cls: 2.2737  detection_loss_cls: 0.0359  detection_loss_reg: 0.3391  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7995  instance_segmentation_loss_cls: 0.0360  instance_segmentation_loss_reg: 0.3448  instance_segmentation_loss_poly: 0.9454
2024/01/05 13:17:24 - mmengine - INFO - Iter(train) [195500/640000]  base_lr: 1.5738e-04 lr: 1.5738e-05  eta: 7 days, 21:07:21  time: 1.5214  data_time: 0.0256  memory: 25568  grad_norm: 2.7557  loss: 1.3565  caption_loss_cls: 2.2710  detection_loss_cls: 0.0359  detection_loss_reg: 0.3391  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7951  instance_segmentation_loss_cls: 0.0360  instance_segmentation_loss_reg: 0.3444  instance_segmentation_loss_poly: 0.9438
2024/01/05 13:29:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 13:29:22 - mmengine - INFO - Iter(train) [196000/640000]  base_lr: 1.5718e-04 lr: 1.5718e-05  eta: 7 days, 20:40:56  time: 1.5070  data_time: 0.0255  memory: 25568  grad_norm: 2.8255  loss: 1.3755  caption_loss_cls: 2.2700  detection_loss_cls: 0.0358  detection_loss_reg: 0.3391  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7940  instance_segmentation_loss_cls: 0.0360  instance_segmentation_loss_reg: 0.3444  instance_segmentation_loss_poly: 0.9440
2024/01/05 13:29:22 - mmengine - INFO - Saving checkpoint at 196000 iterations
2024/01/05 13:42:12 - mmengine - INFO - Iter(train) [196500/640000]  base_lr: 1.5698e-04 lr: 1.5698e-05  eta: 7 days, 20:29:28  time: 1.5026  data_time: 0.0256  memory: 25568  grad_norm: 2.8786  loss: 1.3724  caption_loss_cls: 2.2664  detection_loss_cls: 0.0356  detection_loss_reg: 0.3370  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7940  instance_segmentation_loss_cls: 0.0361  instance_segmentation_loss_reg: 0.3450  instance_segmentation_loss_poly: 0.9440
2024/01/05 13:54:58 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 13:54:58 - mmengine - INFO - Iter(train) [197000/640000]  base_lr: 1.5678e-04 lr: 1.5678e-05  eta: 7 days, 20:17:09  time: 1.5117  data_time: 0.0256  memory: 25568  grad_norm: 2.8962  loss: 1.3740  caption_loss_cls: 2.2672  detection_loss_cls: 0.0356  detection_loss_reg: 0.3372  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7951  instance_segmentation_loss_cls: 0.0360  instance_segmentation_loss_reg: 0.3436  instance_segmentation_loss_poly: 0.9403
2024/01/05 14:07:13 - mmengine - INFO - Iter(train) [197500/640000]  base_lr: 1.5657e-04 lr: 1.5657e-05  eta: 7 days, 19:56:17  time: 1.5104  data_time: 0.0257  memory: 25568  grad_norm: 2.9121  loss: 1.3819  caption_loss_cls: 2.2670  detection_loss_cls: 0.0355  detection_loss_reg: 0.3375  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7955  instance_segmentation_loss_cls: 0.0361  instance_segmentation_loss_reg: 0.3452  instance_segmentation_loss_poly: 0.9437
2024/01/05 14:19:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 14:19:56 - mmengine - INFO - Iter(train) [198000/640000]  base_lr: 1.5637e-04 lr: 1.5637e-05  eta: 7 days, 19:43:03  time: 1.5144  data_time: 0.0257  memory: 25568  grad_norm: 2.8886  loss: 1.3688  caption_loss_cls: 2.2723  detection_loss_cls: 0.0356  detection_loss_reg: 0.3384  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7910  instance_segmentation_loss_cls: 0.0359  instance_segmentation_loss_reg: 0.3440  instance_segmentation_loss_poly: 0.9410
2024/01/05 14:19:56 - mmengine - INFO - Saving checkpoint at 198000 iterations
2024/01/05 14:33:23 - mmengine - INFO - Iter(train) [198500/640000]  base_lr: 1.5617e-04 lr: 1.5617e-05  eta: 7 days, 19:41:04  time: 1.5197  data_time: 0.0260  memory: 25568  grad_norm: 2.8560  loss: 1.3823  caption_loss_cls: 2.2782  detection_loss_cls: 0.0358  detection_loss_reg: 0.3396  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7919  instance_segmentation_loss_cls: 0.0361  instance_segmentation_loss_reg: 0.3463  instance_segmentation_loss_poly: 0.9445
2024/01/05 14:45:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 14:45:50 - mmengine - INFO - Iter(train) [199000/640000]  base_lr: 1.5596e-04 lr: 1.5596e-05  eta: 7 days, 19:23:47  time: 1.5090  data_time: 0.0260  memory: 25568  grad_norm: 2.8880  loss: 1.3921  caption_loss_cls: 2.2879  detection_loss_cls: 0.0357  detection_loss_reg: 0.3392  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7874  instance_segmentation_loss_cls: 0.0360  instance_segmentation_loss_reg: 0.3469  instance_segmentation_loss_poly: 0.9453
2024/01/05 14:58:35 - mmengine - INFO - Iter(train) [199500/640000]  base_lr: 1.5576e-04 lr: 1.5576e-05  eta: 7 days, 19:10:57  time: 1.5174  data_time: 0.0261  memory: 25568  grad_norm: 2.8501  loss: 1.3854  caption_loss_cls: 2.2956  detection_loss_cls: 0.0360  detection_loss_reg: 0.3416  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7850  instance_segmentation_loss_cls: 0.0357  instance_segmentation_loss_reg: 0.3450  instance_segmentation_loss_poly: 0.9396
2024/01/05 15:11:59 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 15:11:59 - mmengine - INFO - Iter(train) [200000/640000]  base_lr: 1.5556e-04 lr: 1.5556e-05  eta: 7 days, 19:07:51  time: 1.5390  data_time: 0.0264  memory: 25568  grad_norm: 2.7846  loss: 1.3734  caption_loss_cls: 2.2980  detection_loss_cls: 0.0360  detection_loss_reg: 0.3402  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7866  instance_segmentation_loss_cls: 0.0356  instance_segmentation_loss_reg: 0.3451  instance_segmentation_loss_poly: 0.9394
2024/01/05 15:11:59 - mmengine - INFO - Saving checkpoint at 200000 iterations
2024/01/05 15:23:56 - mmengine - INFO - Evaluating bbox...
2024/01/05 15:24:53 - mmengine - INFO - bbox_mAP_copypaste: 0.481 0.665 0.528 0.333 0.527 0.615
2024/01/05 15:24:53 - mmengine - INFO - Evaluating segm...
2024/01/05 15:26:05 - mmengine - INFO - segm_mAP_copypaste: 0.314 0.572 0.306 0.178 0.361 0.488
2024/01/05 15:28:15 - mmengine - INFO - Evaluating bbox...
2024/01/05 15:29:13 - mmengine - INFO - bbox_mAP_copypaste: 0.481 0.665 0.528 0.333 0.526 0.616
2024/01/05 15:35:52 - mmengine - INFO - per class results:
2024/01/05 15:35:52 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 77.53 | 88.69 |
|       building      | 81.27 | 92.88 |
|         sky         |  93.5 | 97.08 |
|        floor        | 81.35 | 90.43 |
|         tree        | 74.17 |  87.8 |
|       ceiling       |  84.9 |  92.9 |
|         road        | 84.56 | 89.62 |
|         bed         | 88.91 | 94.46 |
|      windowpane     | 62.98 | 79.36 |
|        grass        | 65.95 | 83.81 |
|       cabinet       | 61.88 | 73.43 |
|       sidewalk      | 66.41 | 77.38 |
|        person       | 80.25 | 91.32 |
|        earth        | 30.43 | 37.13 |
|         door        | 52.75 |  63.8 |
|        table        | 61.97 | 77.84 |
|       mountain      |  54.8 | 72.04 |
|        plant        | 52.61 | 67.65 |
|       curtain       | 75.06 | 88.98 |
|        chair        | 58.03 |  72.4 |
|         car         | 83.42 | 90.18 |
|        water        | 54.94 | 65.44 |
|       painting      | 71.39 |  89.2 |
|         sofa        | 71.16 | 82.34 |
|        shelf        | 41.68 |  61.3 |
|        house        | 35.98 | 48.01 |
|         sea         | 64.09 | 89.61 |
|        mirror       | 68.11 | 77.25 |
|         rug         | 56.51 | 62.91 |
|        field        | 28.93 | 53.57 |
|       armchair      | 49.11 | 73.18 |
|         seat        | 62.58 | 84.26 |
|        fence        |  44.2 |  61.2 |
|         desk        | 47.98 | 68.15 |
|         rock        | 41.37 | 60.47 |
|       wardrobe      | 45.27 | 70.74 |
|         lamp        | 61.11 | 75.49 |
|       bathtub       | 77.29 | 84.16 |
|       railing       | 38.62 |  52.1 |
|       cushion       | 58.88 | 78.17 |
|         base        | 23.64 | 35.58 |
|         box         | 28.14 |  38.8 |
|        column       |  51.1 | 58.33 |
|      signboard      | 38.28 | 51.19 |
|   chest of drawers  | 37.11 |  59.2 |
|       counter       | 26.38 | 41.19 |
|         sand        | 54.53 | 67.67 |
|         sink        | 74.75 | 82.97 |
|      skyscraper     | 43.38 | 50.83 |
|      fireplace      | 71.09 | 87.26 |
|     refrigerator    |  76.9 | 84.44 |
|      grandstand     | 49.69 | 76.04 |
|         path        | 25.58 | 42.12 |
|        stairs       |  26.0 | 27.74 |
|        runway       | 69.68 | 88.08 |
|         case        | 43.78 | 57.56 |
|      pool table     | 91.39 | 95.55 |
|        pillow       | 56.09 | 65.08 |
|     screen door     |  82.6 | 91.51 |
|       stairway      | 32.66 | 42.85 |
|        river        | 14.41 | 19.35 |
|        bridge       | 35.66 |  45.4 |
|       bookcase      | 33.65 | 50.89 |
|        blind        | 38.51 | 42.16 |
|     coffee table    |  62.9 | 80.56 |
|        toilet       | 84.14 | 91.21 |
|        flower       | 37.23 | 61.31 |
|         book        | 47.22 |  65.7 |
|         hill        | 11.84 | 19.55 |
|        bench        | 52.27 | 60.14 |
|      countertop     | 55.77 | 65.13 |
|        stove        | 75.77 | 79.47 |
|         palm        | 45.78 | 69.86 |
|    kitchen island   | 44.92 | 88.03 |
|       computer      | 76.94 | 86.07 |
|     swivel chair    | 22.05 | 25.01 |
|         boat        | 72.44 | 83.34 |
|         bar         | 51.07 | 65.25 |
|    arcade machine   | 72.63 | 75.22 |
|        hovel        | 18.04 | 19.21 |
|         bus         | 90.45 | 96.27 |
|        towel        | 58.58 | 74.23 |
|        light        | 49.22 | 56.55 |
|        truck        | 38.21 | 56.99 |
|        tower        | 21.59 | 34.96 |
|      chandelier     | 65.95 | 86.73 |
|        awning       | 23.91 | 35.09 |
|     streetlight     | 29.78 | 37.09 |
|        booth        |  48.2 | 61.21 |
| television receiver | 61.42 | 85.89 |
|       airplane      | 72.52 | 82.99 |
|      dirt track     |  2.07 |  4.56 |
|       apparel       | 30.76 | 42.38 |
|         pole        | 26.42 | 34.62 |
|         land        |  4.18 |  6.12 |
|      bannister      | 11.34 | 15.59 |
|      escalator      | 45.93 | 57.44 |
|       ottoman       | 50.76 | 71.99 |
|        bottle       | 22.65 | 28.24 |
|        buffet       | 55.42 | 64.77 |
|        poster       | 34.85 |  47.4 |
|        stage        | 14.77 |  25.7 |
|         van         | 40.71 |  64.6 |
|         ship        |  7.9  |  8.12 |
|       fountain      | 36.89 | 38.82 |
|    conveyer belt    |  75.5 | 91.56 |
|        canopy       | 37.96 | 59.57 |
|        washer       |  65.5 | 70.39 |
|      plaything      | 25.74 | 31.26 |
|    swimming pool    | 57.35 | 61.14 |
|        stool        | 44.45 | 63.87 |
|        barrel       | 39.42 | 64.24 |
|        basket       | 30.68 | 37.09 |
|      waterfall      | 68.27 | 87.81 |
|         tent        | 72.51 | 97.09 |
|         bag         | 20.72 |  31.0 |
|       minibike      | 70.37 | 81.96 |
|        cradle       | 73.85 | 97.82 |
|         oven        | 45.21 | 58.66 |
|         ball        | 32.21 | 43.33 |
|         food        | 41.11 | 42.77 |
|         step        |  5.43 |  6.93 |
|         tank        | 45.29 | 51.06 |
|      trade name     | 30.43 | 35.53 |
|      microwave      | 85.06 | 93.66 |
|         pot         | 47.16 |  54.2 |
|        animal       | 61.51 | 64.97 |
|       bicycle       | 53.38 | 69.92 |
|         lake        | 41.18 | 78.86 |
|      dishwasher     | 63.13 | 77.12 |
|        screen       | 74.13 | 89.97 |
|       blanket       | 23.82 | 28.95 |
|      sculpture      | 59.77 |  78.1 |
|         hood        | 62.17 | 72.96 |
|        sconce       | 43.48 | 54.46 |
|         vase        | 37.79 | 58.14 |
|    traffic light    |  37.7 | 57.21 |
|         tray        | 14.53 | 24.78 |
|        ashcan       | 40.58 | 54.48 |
|         fan         | 59.55 | 72.35 |
|         pier        | 38.57 | 50.96 |
|      crt screen     |  6.33 |  9.71 |
|        plate        | 54.94 | 75.89 |
|       monitor       | 29.74 | 32.25 |
|    bulletin board   | 41.88 | 51.96 |
|        shower       |  3.78 |  4.02 |
|       radiator      | 58.85 | 69.89 |
|        glass        | 19.35 | 22.56 |
|        clock        | 29.45 | 34.22 |
|         flag        | 30.47 | 38.48 |
+---------------------+-------+-------+
2024/01/05 15:36:05 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4810  coco/bbox_mAP_50: 0.6650  coco/bbox_mAP_75: 0.5280  coco/bbox_mAP_s: 0.3330  coco/bbox_mAP_m: 0.5260  coco/bbox_mAP_l: 0.6160  coco/segm_mAP: 0.3140  coco/segm_mAP_50: 0.5720  coco/segm_mAP_75: 0.3060  coco/segm_mAP_s: 0.1780  coco/segm_mAP_m: 0.3610  coco/segm_mAP_l: 0.4880  Bleu_1: 0.7415  Bleu_2: 0.5747  Bleu_3: 0.4299  Bleu_4: 0.3183  METEOR: 0.2594  ROUGE_L: 0.5450  CIDEr: 1.0138  SPICE: 0.1915  aAcc: 82.9900  mIoU: 49.2800  mAcc: 61.5700  visual-grounding/miou: 0.7751  visual-grounding/acc: 0.8450  data_time: 0.0116  time: 1.9264
2024/01/05 15:48:25 - mmengine - INFO - Iter(train) [200500/640000]  base_lr: 1.5535e-04 lr: 1.5535e-05  eta: 7 days, 18:49:36  time: 1.5322  data_time: 0.0200  memory: 34658  grad_norm: 2.7733  loss: 1.3808  caption_loss_cls: 2.3004  detection_loss_cls: 0.0361  detection_loss_reg: 0.3408  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7812  instance_segmentation_loss_cls: 0.0358  instance_segmentation_loss_reg: 0.3464  instance_segmentation_loss_poly: 0.9426
2024/01/05 16:01:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 16:01:12 - mmengine - INFO - Iter(train) [201000/640000]  base_lr: 1.5515e-04 lr: 1.5515e-05  eta: 7 days, 18:37:20  time: 1.5324  data_time: 0.0202  memory: 25567  grad_norm: 2.7293  loss: 1.3863  caption_loss_cls: 2.2971  detection_loss_cls: 0.0364  detection_loss_reg: 0.3431  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7832  instance_segmentation_loss_cls: 0.0360  instance_segmentation_loss_reg: 0.3476  instance_segmentation_loss_poly: 0.9459
2024/01/05 16:13:19 - mmengine - INFO - Iter(train) [201500/640000]  base_lr: 1.5494e-04 lr: 1.5494e-05  eta: 7 days, 18:15:37  time: 1.5304  data_time: 0.0202  memory: 25567  grad_norm: 2.7434  loss: 1.3861  caption_loss_cls: 2.2936  detection_loss_cls: 0.0363  detection_loss_reg: 0.3439  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7859  instance_segmentation_loss_cls: 0.0358  instance_segmentation_loss_reg: 0.3471  instance_segmentation_loss_poly: 0.9455
2024/01/05 16:26:34 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 16:26:34 - mmengine - INFO - Iter(train) [202000/640000]  base_lr: 1.5474e-04 lr: 1.5474e-05  eta: 7 days, 18:09:42  time: 1.5383  data_time: 0.0203  memory: 25567  grad_norm: 2.7478  loss: 1.3782  caption_loss_cls: 2.2891  detection_loss_cls: 0.0364  detection_loss_reg: 0.3443  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7841  instance_segmentation_loss_cls: 0.0356  instance_segmentation_loss_reg: 0.3463  instance_segmentation_loss_poly: 0.9428
2024/01/05 16:26:34 - mmengine - INFO - Saving checkpoint at 202000 iterations
2024/01/05 16:39:29 - mmengine - INFO - Iter(train) [202500/640000]  base_lr: 1.5453e-04 lr: 1.5453e-05  eta: 7 days, 17:59:13  time: 1.5306  data_time: 0.0202  memory: 25567  grad_norm: 2.8103  loss: 1.3772  caption_loss_cls: 2.2891  detection_loss_cls: 0.0364  detection_loss_reg: 0.3444  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7844  instance_segmentation_loss_cls: 0.0356  instance_segmentation_loss_reg: 0.3470  instance_segmentation_loss_poly: 0.9434
2024/01/05 16:52:00 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 16:52:00 - mmengine - INFO - Iter(train) [203000/640000]  base_lr: 1.5433e-04 lr: 1.5433e-05  eta: 7 days, 17:43:15  time: 1.5314  data_time: 0.0203  memory: 25567  grad_norm: 2.7943  loss: 1.3776  caption_loss_cls: 2.2830  detection_loss_cls: 0.0363  detection_loss_reg: 0.3431  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7857  instance_segmentation_loss_cls: 0.0355  instance_segmentation_loss_reg: 0.3476  instance_segmentation_loss_poly: 0.9434
2024/01/05 17:04:44 - mmengine - INFO - Iter(train) [203500/640000]  base_lr: 1.5412e-04 lr: 1.5412e-05  eta: 7 days, 17:30:10  time: 1.5311  data_time: 0.0202  memory: 25567  grad_norm: 2.7863  loss: 1.3613  caption_loss_cls: 2.2773  detection_loss_cls: 0.0361  detection_loss_reg: 0.3416  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7880  instance_segmentation_loss_cls: 0.0352  instance_segmentation_loss_reg: 0.3452  instance_segmentation_loss_poly: 0.9391
2024/01/05 17:17:06 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 17:17:06 - mmengine - INFO - Iter(train) [204000/640000]  base_lr: 1.5391e-04 lr: 1.5391e-05  eta: 7 days, 17:12:37  time: 1.5157  data_time: 0.0200  memory: 25567  grad_norm: 2.8382  loss: 1.3579  caption_loss_cls: 2.2743  detection_loss_cls: 0.0358  detection_loss_reg: 0.3408  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7863  instance_segmentation_loss_cls: 0.0352  instance_segmentation_loss_reg: 0.3445  instance_segmentation_loss_poly: 0.9381
2024/01/05 17:17:06 - mmengine - INFO - Saving checkpoint at 204000 iterations
2024/01/05 17:29:59 - mmengine - INFO - Iter(train) [204500/640000]  base_lr: 1.5371e-04 lr: 1.5371e-05  eta: 7 days, 17:01:35  time: 1.5232  data_time: 0.0264  memory: 25567  grad_norm: 2.8504  loss: 1.3560  caption_loss_cls: 2.2746  detection_loss_cls: 0.0358  detection_loss_reg: 0.3416  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7837  instance_segmentation_loss_cls: 0.0352  instance_segmentation_loss_reg: 0.3440  instance_segmentation_loss_poly: 0.9370
2024/01/05 17:42:30 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 17:42:30 - mmengine - INFO - Iter(train) [205000/640000]  base_lr: 1.5350e-04 lr: 1.5350e-05  eta: 7 days, 16:45:53  time: 1.5190  data_time: 0.0263  memory: 25567  grad_norm: 2.8709  loss: 1.3462  caption_loss_cls: 2.2770  detection_loss_cls: 0.0357  detection_loss_reg: 0.3411  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7851  instance_segmentation_loss_cls: 0.0354  instance_segmentation_loss_reg: 0.3466  instance_segmentation_loss_poly: 0.9408
2024/01/05 17:55:11 - mmengine - INFO - Iter(train) [205500/640000]  base_lr: 1.5329e-04 lr: 1.5329e-05  eta: 7 days, 16:32:23  time: 1.5276  data_time: 0.0264  memory: 25567  grad_norm: 2.8311  loss: 1.3311  caption_loss_cls: 2.2778  detection_loss_cls: 0.0355  detection_loss_reg: 0.3397  semantic_segmentation_loss_cls: 0.0094  grounding_loss_reg: 2.7840  instance_segmentation_loss_cls: 0.0355  instance_segmentation_loss_reg: 0.3479  instance_segmentation_loss_poly: 0.9434
2024/01/05 18:07:48 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 18:07:48 - mmengine - INFO - Iter(train) [206000/640000]  base_lr: 1.5308e-04 lr: 1.5308e-05  eta: 7 days, 16:18:02  time: 1.5181  data_time: 0.0263  memory: 25567  grad_norm: 2.8213  loss: 1.3455  caption_loss_cls: 2.2788  detection_loss_cls: 0.0354  detection_loss_reg: 0.3410  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7841  instance_segmentation_loss_cls: 0.0353  instance_segmentation_loss_reg: 0.3465  instance_segmentation_loss_poly: 0.9396
2024/01/05 18:07:48 - mmengine - INFO - Saving checkpoint at 206000 iterations
2024/01/05 18:21:05 - mmengine - INFO - Iter(train) [206500/640000]  base_lr: 1.5288e-04 lr: 1.5288e-05  eta: 7 days, 16:11:52  time: 1.5237  data_time: 0.0263  memory: 25567  grad_norm: 2.8089  loss: 1.3547  caption_loss_cls: 2.2822  detection_loss_cls: 0.0355  detection_loss_reg: 0.3410  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7875  instance_segmentation_loss_cls: 0.0355  instance_segmentation_loss_reg: 0.3481  instance_segmentation_loss_poly: 0.9441
2024/01/05 18:34:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 18:34:03 - mmengine - INFO - Iter(train) [207000/640000]  base_lr: 1.5267e-04 lr: 1.5267e-05  eta: 7 days, 16:01:32  time: 1.5303  data_time: 0.0265  memory: 25567  grad_norm: 2.7801  loss: 1.3501  caption_loss_cls: 2.2859  detection_loss_cls: 0.0356  detection_loss_reg: 0.3422  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7888  instance_segmentation_loss_cls: 0.0356  instance_segmentation_loss_reg: 0.3501  instance_segmentation_loss_poly: 0.9469
2024/01/05 18:46:41 - mmengine - INFO - Iter(train) [207500/640000]  base_lr: 1.5246e-04 lr: 1.5246e-05  eta: 7 days, 15:47:21  time: 1.5288  data_time: 0.0266  memory: 25567  grad_norm: 2.7816  loss: 1.3699  caption_loss_cls: 2.2875  detection_loss_cls: 0.0358  detection_loss_reg: 0.3445  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7900  instance_segmentation_loss_cls: 0.0357  instance_segmentation_loss_reg: 0.3508  instance_segmentation_loss_poly: 0.9491
2024/01/05 18:58:58 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 18:58:58 - mmengine - INFO - Iter(train) [208000/640000]  base_lr: 1.5225e-04 lr: 1.5225e-05  eta: 7 days, 15:29:22  time: 1.5276  data_time: 0.0266  memory: 25567  grad_norm: 2.7735  loss: 1.3751  caption_loss_cls: 2.2954  detection_loss_cls: 0.0358  detection_loss_reg: 0.3450  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7842  instance_segmentation_loss_cls: 0.0356  instance_segmentation_loss_reg: 0.3506  instance_segmentation_loss_poly: 0.9492
2024/01/05 18:58:58 - mmengine - INFO - Saving checkpoint at 208000 iterations
2024/01/05 19:12:21 - mmengine - INFO - Iter(train) [208500/640000]  base_lr: 1.5204e-04 lr: 1.5204e-05  eta: 7 days, 15:23:39  time: 1.5349  data_time: 0.0264  memory: 25567  grad_norm: 2.7752  loss: 1.3571  caption_loss_cls: 2.2926  detection_loss_cls: 0.0357  detection_loss_reg: 0.3445  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7836  instance_segmentation_loss_cls: 0.0353  instance_segmentation_loss_reg: 0.3486  instance_segmentation_loss_poly: 0.9453
2024/01/05 19:24:34 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 19:24:34 - mmengine - INFO - Iter(train) [209000/640000]  base_lr: 1.5183e-04 lr: 1.5183e-05  eta: 7 days, 15:05:01  time: 1.5306  data_time: 0.0263  memory: 25567  grad_norm: 2.8020  loss: 1.3576  caption_loss_cls: 2.2897  detection_loss_cls: 0.0358  detection_loss_reg: 0.3439  semantic_segmentation_loss_cls: 0.0093  grounding_loss_reg: 2.7811  instance_segmentation_loss_cls: 0.0353  instance_segmentation_loss_reg: 0.3486  instance_segmentation_loss_poly: 0.9448
2024/01/05 19:37:21 - mmengine - INFO - Iter(train) [209500/640000]  base_lr: 1.5162e-04 lr: 1.5162e-05  eta: 7 days, 14:52:42  time: 1.5321  data_time: 0.0263  memory: 25567  grad_norm: 2.7845  loss: 1.3527  caption_loss_cls: 2.2900  detection_loss_cls: 0.0358  detection_loss_reg: 0.3449  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7808  instance_segmentation_loss_cls: 0.0349  instance_segmentation_loss_reg: 0.3467  instance_segmentation_loss_poly: 0.9408
2024/01/05 19:50:00 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 19:50:00 - mmengine - INFO - Iter(train) [210000/640000]  base_lr: 1.5141e-04 lr: 1.5141e-05  eta: 7 days, 14:38:54  time: 1.5327  data_time: 0.0264  memory: 25567  grad_norm: 2.8293  loss: 1.3573  caption_loss_cls: 2.2935  detection_loss_cls: 0.0357  detection_loss_reg: 0.3450  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7823  instance_segmentation_loss_cls: 0.0348  instance_segmentation_loss_reg: 0.3464  instance_segmentation_loss_poly: 0.9399
2024/01/05 19:50:00 - mmengine - INFO - Saving checkpoint at 210000 iterations
2024/01/05 20:02:53 - mmengine - INFO - Iter(train) [210500/640000]  base_lr: 1.5120e-04 lr: 1.5120e-05  eta: 7 days, 14:27:34  time: 1.5264  data_time: 0.0263  memory: 25567  grad_norm: 2.8430  loss: 1.3355  caption_loss_cls: 2.2916  detection_loss_cls: 0.0358  detection_loss_reg: 0.3463  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7787  instance_segmentation_loss_cls: 0.0347  instance_segmentation_loss_reg: 0.3461  instance_segmentation_loss_poly: 0.9403
2024/01/05 20:15:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 20:15:12 - mmengine - INFO - Iter(train) [211000/640000]  base_lr: 1.5099e-04 lr: 1.5099e-05  eta: 7 days, 14:10:26  time: 1.5170  data_time: 0.0261  memory: 25567  grad_norm: 2.9239  loss: 1.3429  caption_loss_cls: 2.2930  detection_loss_cls: 0.0357  detection_loss_reg: 0.3461  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7792  instance_segmentation_loss_cls: 0.0346  instance_segmentation_loss_reg: 0.3463  instance_segmentation_loss_poly: 0.9395
2024/01/05 20:27:40 - mmengine - INFO - Iter(train) [211500/640000]  base_lr: 1.5078e-04 lr: 1.5078e-05  eta: 7 days, 13:54:44  time: 1.5144  data_time: 0.0260  memory: 25567  grad_norm: 2.9930  loss: 1.3351  caption_loss_cls: 2.2938  detection_loss_cls: 0.0359  detection_loss_reg: 0.3479  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7833  instance_segmentation_loss_cls: 0.0344  instance_segmentation_loss_reg: 0.3442  instance_segmentation_loss_poly: 0.9346
2024/01/05 20:40:02 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 20:40:02 - mmengine - INFO - Iter(train) [212000/640000]  base_lr: 1.5057e-04 lr: 1.5057e-05  eta: 7 days, 13:38:18  time: 1.5156  data_time: 0.0261  memory: 25567  grad_norm: 3.0220  loss: 1.3391  caption_loss_cls: 2.2947  detection_loss_cls: 0.0357  detection_loss_reg: 0.3464  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7764  instance_segmentation_loss_cls: 0.0343  instance_segmentation_loss_reg: 0.3440  instance_segmentation_loss_poly: 0.9355
2024/01/05 20:40:02 - mmengine - INFO - Saving checkpoint at 212000 iterations
2024/01/05 20:53:12 - mmengine - INFO - Iter(train) [212500/640000]  base_lr: 1.5035e-04 lr: 1.5035e-05  eta: 7 days, 13:29:53  time: 1.5125  data_time: 0.0262  memory: 25567  grad_norm: 3.0052  loss: 1.3447  caption_loss_cls: 2.2922  detection_loss_cls: 0.0358  detection_loss_reg: 0.3483  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7711  instance_segmentation_loss_cls: 0.0342  instance_segmentation_loss_reg: 0.3439  instance_segmentation_loss_poly: 0.9341
2024/01/05 21:06:08 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 21:06:08 - mmengine - INFO - Iter(train) [213000/640000]  base_lr: 1.5014e-04 lr: 1.5014e-05  eta: 7 days, 13:19:00  time: 1.5231  data_time: 0.0265  memory: 25567  grad_norm: 3.0671  loss: 1.3567  caption_loss_cls: 2.2942  detection_loss_cls: 0.0358  detection_loss_reg: 0.3499  semantic_segmentation_loss_cls: 0.0092  grounding_loss_reg: 2.7694  instance_segmentation_loss_cls: 0.0343  instance_segmentation_loss_reg: 0.3448  instance_segmentation_loss_poly: 0.9348
2024/01/05 21:18:56 - mmengine - INFO - Iter(train) [213500/640000]  base_lr: 1.4993e-04 lr: 1.4993e-05  eta: 7 days, 13:06:46  time: 1.5232  data_time: 0.0266  memory: 25567  grad_norm: 3.1541  loss: 1.3596  caption_loss_cls: 2.2968  detection_loss_cls: 0.0357  detection_loss_reg: 0.3491  semantic_segmentation_loss_cls: 0.0091  grounding_loss_reg: 2.7693  instance_segmentation_loss_cls: 0.0343  instance_segmentation_loss_reg: 0.3455  instance_segmentation_loss_poly: 0.9349
2024/01/05 21:31:48 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 21:31:48 - mmengine - INFO - Iter(train) [214000/640000]  base_lr: 1.4972e-04 lr: 1.4972e-05  eta: 7 days, 12:55:15  time: 1.5265  data_time: 0.0266  memory: 25567  grad_norm: 3.1572  loss: 1.3563  caption_loss_cls: 2.2980  detection_loss_cls: 0.0357  detection_loss_reg: 0.3495  semantic_segmentation_loss_cls: 0.0091  grounding_loss_reg: 2.7734  instance_segmentation_loss_cls: 0.0343  instance_segmentation_loss_reg: 0.3467  instance_segmentation_loss_poly: 0.9379
2024/01/05 21:31:48 - mmengine - INFO - Saving checkpoint at 214000 iterations
2024/01/05 21:45:05 - mmengine - INFO - Iter(train) [214500/640000]  base_lr: 1.4950e-04 lr: 1.4950e-05  eta: 7 days, 12:47:46  time: 1.5327  data_time: 0.0266  memory: 25567  grad_norm: 3.1075  loss: 1.3505  caption_loss_cls: 2.2942  detection_loss_cls: 0.0356  detection_loss_reg: 0.3495  semantic_segmentation_loss_cls: 0.0090  grounding_loss_reg: 2.7765  instance_segmentation_loss_cls: 0.0342  instance_segmentation_loss_reg: 0.3467  instance_segmentation_loss_poly: 0.9378
2024/01/05 21:57:37 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 21:57:37 - mmengine - INFO - Iter(train) [215000/640000]  base_lr: 1.4929e-04 lr: 1.4929e-05  eta: 7 days, 12:32:55  time: 1.5357  data_time: 0.0265  memory: 25567  grad_norm: 3.0749  loss: 1.3457  caption_loss_cls: 2.2848  detection_loss_cls: 0.0357  detection_loss_reg: 0.3509  semantic_segmentation_loss_cls: 0.0090  grounding_loss_reg: 2.7766  instance_segmentation_loss_cls: 0.0341  instance_segmentation_loss_reg: 0.3454  instance_segmentation_loss_poly: 0.9349
2024/01/05 22:10:38 - mmengine - INFO - Iter(train) [215500/640000]  base_lr: 1.4908e-04 lr: 1.4908e-05  eta: 7 days, 12:22:42  time: 1.5442  data_time: 0.0267  memory: 25567  grad_norm: 2.9936  loss: 1.3419  caption_loss_cls: 2.2811  detection_loss_cls: 0.0357  detection_loss_reg: 0.3508  semantic_segmentation_loss_cls: 0.0090  grounding_loss_reg: 2.7777  instance_segmentation_loss_cls: 0.0340  instance_segmentation_loss_reg: 0.3460  instance_segmentation_loss_poly: 0.9358
2024/01/05 22:23:14 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 22:23:14 - mmengine - INFO - Iter(train) [216000/640000]  base_lr: 1.4886e-04 lr: 1.4886e-05  eta: 7 days, 12:08:31  time: 1.5475  data_time: 0.0267  memory: 25567  grad_norm: 2.9568  loss: 1.3345  caption_loss_cls: 2.2772  detection_loss_cls: 0.0355  detection_loss_reg: 0.3493  semantic_segmentation_loss_cls: 0.0090  grounding_loss_reg: 2.7763  instance_segmentation_loss_cls: 0.0341  instance_segmentation_loss_reg: 0.3476  instance_segmentation_loss_poly: 0.9399
2024/01/05 22:23:14 - mmengine - INFO - Saving checkpoint at 216000 iterations
2024/01/05 22:36:35 - mmengine - INFO - Iter(train) [216500/640000]  base_lr: 1.4865e-04 lr: 1.4865e-05  eta: 7 days, 12:01:15  time: 1.5503  data_time: 0.0267  memory: 25567  grad_norm: 2.9590  loss: 1.3342  caption_loss_cls: 2.2776  detection_loss_cls: 0.0354  detection_loss_reg: 0.3491  semantic_segmentation_loss_cls: 0.0090  grounding_loss_reg: 2.7811  instance_segmentation_loss_cls: 0.0340  instance_segmentation_loss_reg: 0.3477  instance_segmentation_loss_poly: 0.9394
2024/01/05 22:49:17 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 22:49:17 - mmengine - INFO - Iter(train) [217000/640000]  base_lr: 1.4843e-04 lr: 1.4843e-05  eta: 7 days, 11:48:02  time: 1.5469  data_time: 0.0265  memory: 25567  grad_norm: 2.8645  loss: 1.3156  caption_loss_cls: 2.2781  detection_loss_cls: 0.0356  detection_loss_reg: 0.3494  semantic_segmentation_loss_cls: 0.0089  grounding_loss_reg: 2.7744  instance_segmentation_loss_cls: 0.0341  instance_segmentation_loss_reg: 0.3491  instance_segmentation_loss_poly: 0.9423
2024/01/05 23:01:55 - mmengine - INFO - Iter(train) [217500/640000]  base_lr: 1.4822e-04 lr: 1.4822e-05  eta: 7 days, 11:34:07  time: 1.5444  data_time: 0.0265  memory: 25567  grad_norm: 2.8249  loss: 1.3303  caption_loss_cls: 2.2789  detection_loss_cls: 0.0355  detection_loss_reg: 0.3481  semantic_segmentation_loss_cls: 0.0089  grounding_loss_reg: 2.7670  instance_segmentation_loss_cls: 0.0343  instance_segmentation_loss_reg: 0.3497  instance_segmentation_loss_poly: 0.9436
2024/01/05 23:15:06 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 23:15:06 - mmengine - INFO - Iter(train) [218000/640000]  base_lr: 1.4800e-04 lr: 1.4800e-05  eta: 7 days, 11:25:11  time: 1.5492  data_time: 0.0267  memory: 25567  grad_norm: 2.8066  loss: 1.3350  caption_loss_cls: 2.2794  detection_loss_cls: 0.0355  detection_loss_reg: 0.3484  semantic_segmentation_loss_cls: 0.0089  grounding_loss_reg: 2.7701  instance_segmentation_loss_cls: 0.0344  instance_segmentation_loss_reg: 0.3508  instance_segmentation_loss_poly: 0.9461
2024/01/05 23:15:06 - mmengine - INFO - Saving checkpoint at 218000 iterations
2024/01/05 23:28:21 - mmengine - INFO - Iter(train) [218500/640000]  base_lr: 1.4779e-04 lr: 1.4779e-05  eta: 7 days, 11:16:37  time: 1.5483  data_time: 0.0267  memory: 25567  grad_norm: 2.8251  loss: 1.3473  caption_loss_cls: 2.2761  detection_loss_cls: 0.0355  detection_loss_reg: 0.3475  semantic_segmentation_loss_cls: 0.0089  grounding_loss_reg: 2.7658  instance_segmentation_loss_cls: 0.0342  instance_segmentation_loss_reg: 0.3488  instance_segmentation_loss_poly: 0.9435
2024/01/05 23:41:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/05 23:41:22 - mmengine - INFO - Iter(train) [219000/640000]  base_lr: 1.4757e-04 lr: 1.4757e-05  eta: 7 days, 11:06:05  time: 1.5558  data_time: 0.0269  memory: 25567  grad_norm: 2.7934  loss: 1.3412  caption_loss_cls: 2.2708  detection_loss_cls: 0.0352  detection_loss_reg: 0.3461  semantic_segmentation_loss_cls: 0.0089  grounding_loss_reg: 2.7675  instance_segmentation_loss_cls: 0.0344  instance_segmentation_loss_reg: 0.3496  instance_segmentation_loss_poly: 0.9452
2024/01/05 23:54:15 - mmengine - INFO - Iter(train) [219500/640000]  base_lr: 1.4736e-04 lr: 1.4736e-05  eta: 7 days, 10:54:17  time: 1.5537  data_time: 0.0267  memory: 25567  grad_norm: 2.7869  loss: 1.3322  caption_loss_cls: 2.2702  detection_loss_cls: 0.0352  detection_loss_reg: 0.3459  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7698  instance_segmentation_loss_cls: 0.0343  instance_segmentation_loss_reg: 0.3494  instance_segmentation_loss_poly: 0.9451
2024/01/06 00:07:13 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/06 00:07:13 - mmengine - INFO - Iter(train) [220000/640000]  base_lr: 1.4714e-04 lr: 1.4714e-05  eta: 7 days, 10:43:11  time: 1.5592  data_time: 0.0268  memory: 25567  grad_norm: 2.7834  loss: 1.3286  caption_loss_cls: 2.2690  detection_loss_cls: 0.0349  detection_loss_reg: 0.3448  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7678  instance_segmentation_loss_cls: 0.0344  instance_segmentation_loss_reg: 0.3491  instance_segmentation_loss_poly: 0.9448
2024/01/06 00:07:13 - mmengine - INFO - Saving checkpoint at 220000 iterations
2024/01/06 00:19:15 - mmengine - INFO - Evaluating bbox...
2024/01/06 00:20:12 - mmengine - INFO - bbox_mAP_copypaste: 0.485 0.668 0.535 0.326 0.543 0.626
2024/01/06 00:20:12 - mmengine - INFO - Evaluating segm...
2024/01/06 00:21:24 - mmengine - INFO - segm_mAP_copypaste: 0.319 0.579 0.311 0.175 0.369 0.488
2024/01/06 00:23:34 - mmengine - INFO - Evaluating bbox...
2024/01/06 00:24:32 - mmengine - INFO - bbox_mAP_copypaste: 0.485 0.668 0.534 0.325 0.543 0.624
2024/01/06 00:30:13 - mmengine - INFO - per class results:
2024/01/06 00:30:13 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 78.71 | 88.46 |
|       building      | 81.67 |  89.2 |
|         sky         | 93.46 | 97.14 |
|        floor        | 82.43 | 88.17 |
|         tree        | 74.73 | 89.15 |
|       ceiling       | 84.76 | 92.45 |
|         road        | 76.98 | 94.85 |
|         bed         | 88.52 | 93.42 |
|      windowpane     | 61.94 |  76.3 |
|        grass        | 67.83 | 85.02 |
|       cabinet       | 60.42 | 71.13 |
|       sidewalk      | 54.61 |  62.2 |
|        person       | 80.86 | 92.07 |
|        earth        | 37.45 | 46.23 |
|         door        | 53.27 | 75.55 |
|        table        | 64.06 | 79.01 |
|       mountain      | 61.93 |  77.6 |
|        plant        | 55.61 | 71.09 |
|       curtain       | 76.01 | 87.99 |
|        chair        | 60.89 | 74.98 |
|         car         | 85.27 | 91.79 |
|        water        | 55.02 | 64.43 |
|       painting      | 74.06 |  87.8 |
|         sofa        | 69.32 | 78.55 |
|        shelf        | 42.07 | 59.08 |
|        house        | 45.01 | 70.11 |
|         sea         | 54.68 | 76.41 |
|        mirror       | 67.56 | 72.73 |
|         rug         | 68.93 | 82.32 |
|        field        | 28.07 | 43.68 |
|       armchair      | 48.72 | 74.17 |
|         seat        | 67.09 | 78.22 |
|        fence        | 44.96 | 63.02 |
|         desk        | 46.14 |  74.0 |
|         rock        |  46.4 | 71.54 |
|       wardrobe      |  51.4 | 76.74 |
|         lamp        | 63.65 | 77.49 |
|       bathtub       | 70.79 | 86.63 |
|       railing       | 38.88 | 55.87 |
|       cushion       | 57.76 | 78.46 |
|         base        | 26.86 | 42.43 |
|         box         | 27.76 | 34.75 |
|        column       | 50.02 | 61.14 |
|      signboard      | 36.24 |  61.3 |
|   chest of drawers  | 35.14 | 43.06 |
|       counter       | 25.17 | 39.94 |
|         sand        | 50.01 | 64.34 |
|         sink        | 70.78 | 77.55 |
|      skyscraper     | 41.49 | 49.03 |
|      fireplace      | 67.93 | 91.23 |
|     refrigerator    | 75.78 |  86.9 |
|      grandstand     | 47.35 | 78.09 |
|         path        | 16.92 | 22.15 |
|        stairs       | 41.75 | 55.18 |
|        runway       | 63.36 | 64.69 |
|         case        | 50.97 | 58.42 |
|      pool table     | 91.45 | 95.52 |
|        pillow       | 56.79 | 67.88 |
|     screen door     |  64.8 | 73.86 |
|       stairway      | 35.36 | 40.94 |
|        river        | 17.86 | 37.69 |
|        bridge       | 65.52 | 80.04 |
|       bookcase      | 32.14 | 47.35 |
|        blind        |  39.9 | 45.89 |
|     coffee table    | 62.56 | 85.72 |
|        toilet       | 86.19 | 94.06 |
|        flower       | 38.64 | 51.47 |
|         book        | 45.16 | 78.02 |
|         hill        | 11.47 | 24.38 |
|        bench        | 55.24 | 74.41 |
|      countertop     | 58.69 | 73.55 |
|        stove        | 78.53 | 84.32 |
|         palm        | 49.62 | 76.52 |
|    kitchen island   | 43.66 | 60.53 |
|       computer      | 70.77 |  90.0 |
|     swivel chair    | 40.29 | 48.05 |
|         boat        | 79.15 | 87.06 |
|         bar         | 37.31 | 51.02 |
|    arcade machine   | 78.32 | 87.34 |
|        hovel        |  36.5 | 75.53 |
|         bus         | 91.83 | 95.19 |
|        towel        | 63.56 | 74.51 |
|        light        | 53.75 | 67.94 |
|        truck        |  40.2 | 59.47 |
|        tower        | 25.06 | 40.93 |
|      chandelier     | 65.37 | 79.33 |
|        awning       |  27.0 | 42.51 |
|     streetlight     | 27.74 | 34.92 |
|        booth        | 47.93 | 75.81 |
| television receiver | 60.87 | 79.86 |
|       airplane      | 58.39 | 64.85 |
|      dirt track     |  0.0  |  0.0  |
|       apparel       | 32.94 | 56.32 |
|         pole        | 26.84 | 42.98 |
|         land        |  2.37 |  3.79 |
|      bannister      | 13.43 | 16.83 |
|      escalator      | 20.23 | 22.58 |
|       ottoman       | 54.66 | 68.64 |
|        bottle       | 24.72 | 37.09 |
|        buffet       | 50.27 | 56.34 |
|        poster       | 35.53 | 66.38 |
|        stage        | 14.52 | 22.71 |
|         van         | 48.72 | 63.28 |
|         ship        |  9.04 |  9.49 |
|       fountain      |  28.4 | 29.93 |
|    conveyer belt    |  55.1 |  92.0 |
|        canopy       | 34.02 | 43.99 |
|        washer       | 56.25 |  75.9 |
|      plaything      | 34.79 | 46.12 |
|    swimming pool    | 66.51 | 88.74 |
|        stool        | 45.92 | 62.66 |
|        barrel       | 56.69 |  64.5 |
|        basket       | 38.57 | 49.96 |
|      waterfall      | 59.69 | 84.33 |
|         tent        | 74.67 | 96.55 |
|         bag         | 18.09 | 23.91 |
|       minibike      | 70.53 | 85.54 |
|        cradle       | 83.02 | 95.95 |
|         oven        | 50.48 | 63.66 |
|         ball        | 50.38 |  71.2 |
|         food        | 59.31 |  79.1 |
|         step        | 13.21 | 14.87 |
|         tank        | 50.06 | 57.06 |
|      trade name     |  5.89 |  6.15 |
|      microwave      | 83.19 | 93.83 |
|         pot         | 47.71 | 61.55 |
|        animal       | 62.75 | 65.88 |
|       bicycle       |  57.2 | 78.38 |
|         lake        | 38.31 | 44.65 |
|      dishwasher     | 69.88 | 80.43 |
|        screen       | 54.77 | 69.14 |
|       blanket       | 26.27 | 32.91 |
|      sculpture      | 59.16 | 79.36 |
|         hood        | 58.11 | 71.28 |
|        sconce       | 39.63 | 52.35 |
|         vase        | 40.97 | 62.17 |
|    traffic light    | 35.25 | 68.87 |
|         tray        | 11.67 | 19.51 |
|        ashcan       | 40.35 | 65.14 |
|         fan         | 59.86 | 70.89 |
|         pier        | 28.39 |  33.0 |
|      crt screen     |  8.36 |  26.1 |
|        plate        | 55.28 | 75.61 |
|       monitor       | 18.05 | 20.74 |
|    bulletin board   | 50.01 | 61.13 |
|        shower       |  2.08 |  3.54 |
|       radiator      |  57.9 | 70.08 |
|        glass        | 18.29 | 20.07 |
|        clock        | 32.84 | 39.47 |
|         flag        | 37.97 | 49.12 |
+---------------------+-------+-------+
2024/01/06 00:30:25 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4850  coco/bbox_mAP_50: 0.6680  coco/bbox_mAP_75: 0.5340  coco/bbox_mAP_s: 0.3250  coco/bbox_mAP_m: 0.5430  coco/bbox_mAP_l: 0.6240  coco/segm_mAP: 0.3190  coco/segm_mAP_50: 0.5790  coco/segm_mAP_75: 0.3110  coco/segm_mAP_s: 0.1750  coco/segm_mAP_m: 0.3690  coco/segm_mAP_l: 0.4880  Bleu_1: 0.7403  Bleu_2: 0.5705  Bleu_3: 0.4249  Bleu_4: 0.3147  METEOR: 0.2631  ROUGE_L: 0.5435  CIDEr: 1.0195  SPICE: 0.1943  aAcc: 83.0800  mIoU: 49.7700  mAcc: 63.2400  visual-grounding/miou: 0.7824  visual-grounding/acc: 0.8543  data_time: 0.0129  time: 1.9234
2024/01/06 00:43:13 - mmengine - INFO - Iter(train) [220500/640000]  base_lr: 1.4692e-04 lr: 1.4692e-05  eta: 7 days, 10:31:01  time: 1.5516  data_time: 0.0203  memory: 34658  grad_norm: 2.8031  loss: 1.3375  caption_loss_cls: 2.2706  detection_loss_cls: 0.0349  detection_loss_reg: 0.3448  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7677  instance_segmentation_loss_cls: 0.0342  instance_segmentation_loss_reg: 0.3465  instance_segmentation_loss_poly: 0.9397
2024/01/06 00:55:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/06 00:55:29 - mmengine - INFO - Iter(train) [221000/640000]  base_lr: 1.4671e-04 lr: 1.4671e-05  eta: 7 days, 10:14:06  time: 1.5450  data_time: 0.0202  memory: 25567  grad_norm: 2.9162  loss: 1.3500  caption_loss_cls: 2.2739  detection_loss_cls: 0.0348  detection_loss_reg: 0.3428  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7663  instance_segmentation_loss_cls: 0.0341  instance_segmentation_loss_reg: 0.3462  instance_segmentation_loss_poly: 0.9376
2024/01/06 01:08:07 - mmengine - INFO - Iter(train) [221500/640000]  base_lr: 1.4649e-04 lr: 1.4649e-05  eta: 7 days, 10:00:11  time: 1.5449  data_time: 0.0200  memory: 25567  grad_norm: 2.9384  loss: 1.3425  caption_loss_cls: 2.2744  detection_loss_cls: 0.0349  detection_loss_reg: 0.3438  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7686  instance_segmentation_loss_cls: 0.0340  instance_segmentation_loss_reg: 0.3449  instance_segmentation_loss_poly: 0.9345
2024/01/06 01:20:55 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/06 01:20:55 - mmengine - INFO - Iter(train) [222000/640000]  base_lr: 1.4627e-04 lr: 1.4627e-05  eta: 7 days, 9:47:46  time: 1.5392  data_time: 0.0200  memory: 25567  grad_norm: 2.9758  loss: 1.3426  caption_loss_cls: 2.2733  detection_loss_cls: 0.0348  detection_loss_reg: 0.3440  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7684  instance_segmentation_loss_cls: 0.0342  instance_segmentation_loss_reg: 0.3465  instance_segmentation_loss_poly: 0.9399
2024/01/06 01:20:55 - mmengine - INFO - Saving checkpoint at 222000 iterations
2024/01/06 01:33:45 - mmengine - INFO - Iter(train) [222500/640000]  base_lr: 1.4605e-04 lr: 1.4605e-05  eta: 7 days, 9:35:32  time: 1.5331  data_time: 0.0200  memory: 25567  grad_norm: 2.9746  loss: 1.3383  caption_loss_cls: 2.2735  detection_loss_cls: 0.0349  detection_loss_reg: 0.3450  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7621  instance_segmentation_loss_cls: 0.0341  instance_segmentation_loss_reg: 0.3466  instance_segmentation_loss_poly: 0.9408
2024/01/06 01:46:41 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240105_015845
2024/01/06 01:46:41 - mmengine - INFO - Iter(train) [223000/640000]  base_lr: 1.4584e-04 lr: 1.4584e-05  eta: 7 days, 9:24:03  time: 1.5316  data_time: 0.0200  memory: 25567  grad_norm: 3.0055  loss: 1.3411  caption_loss_cls: 2.2757  detection_loss_cls: 0.0351  detection_loss_reg: 0.3468  semantic_segmentation_loss_cls: 0.0089  grounding_loss_reg: 2.7644  instance_segmentation_loss_cls: 0.0340  instance_segmentation_loss_reg: 0.3455  instance_segmentation_loss_poly: 0.9392
2024/01/06 03:08:41 - mmengine - INFO - Iter(train) [223500/640000]  base_lr: 1.4562e-04 lr: 1.4562e-05  eta: 7 days, 3:42:13  time: 1.5088  data_time: 0.0120  memory: 25573  grad_norm: 3.0921  loss: 1.3646  caption_loss_cls: 2.2804  detection_loss_cls: 0.0350  detection_loss_reg: 0.3454  semantic_segmentation_loss_cls: 0.0089  grounding_loss_reg: 2.7648  instance_segmentation_loss_cls: 0.0341  instance_segmentation_loss_reg: 0.3472  instance_segmentation_loss_poly: 0.9420
2024/01/06 03:21:35 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 03:21:35 - mmengine - INFO - Iter(train) [224000/640000]  base_lr: 1.4540e-04 lr: 1.4540e-05  eta: 7 days, 5:19:47  time: 1.5078  data_time: 0.0118  memory: 25573  grad_norm: 3.1604  loss: 1.3699  caption_loss_cls: 2.2788  detection_loss_cls: 0.0351  detection_loss_reg: 0.3458  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7617  instance_segmentation_loss_cls: 0.0340  instance_segmentation_loss_reg: 0.3475  instance_segmentation_loss_poly: 0.9419
2024/01/06 03:21:35 - mmengine - INFO - Saving checkpoint at 224000 iterations
2024/01/06 03:34:42 - mmengine - INFO - Iter(train) [224500/640000]  base_lr: 1.4518e-04 lr: 1.4518e-05  eta: 7 days, 6:49:55  time: 1.5120  data_time: 0.0174  memory: 25573  grad_norm: 3.2338  loss: 1.3663  caption_loss_cls: 2.2742  detection_loss_cls: 0.0353  detection_loss_reg: 0.3464  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7586  instance_segmentation_loss_cls: 0.0341  instance_segmentation_loss_reg: 0.3472  instance_segmentation_loss_poly: 0.9417
2024/01/06 03:47:37 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 03:47:37 - mmengine - INFO - Iter(train) [225000/640000]  base_lr: 1.4496e-04 lr: 1.4496e-05  eta: 7 days, 7:17:19  time: 1.5218  data_time: 0.0172  memory: 25573  grad_norm: 3.1379  loss: 1.3585  caption_loss_cls: 2.2765  detection_loss_cls: 0.0351  detection_loss_reg: 0.3439  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7560  instance_segmentation_loss_cls: 0.0343  instance_segmentation_loss_reg: 0.3485  instance_segmentation_loss_poly: 0.9427
2024/01/06 04:00:26 - mmengine - INFO - Iter(train) [225500/640000]  base_lr: 1.4474e-04 lr: 1.4474e-05  eta: 7 days, 7:22:11  time: 1.5248  data_time: 0.0170  memory: 25573  grad_norm: 3.1011  loss: 1.3517  caption_loss_cls: 2.2755  detection_loss_cls: 0.0352  detection_loss_reg: 0.3442  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7531  instance_segmentation_loss_cls: 0.0343  instance_segmentation_loss_reg: 0.3483  instance_segmentation_loss_poly: 0.9413
2024/01/06 04:13:28 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 04:13:28 - mmengine - INFO - Iter(train) [226000/640000]  base_lr: 1.4452e-04 lr: 1.4452e-05  eta: 7 days, 7:43:26  time: 1.5280  data_time: 0.0167  memory: 25573  grad_norm: 3.0763  loss: 1.3251  caption_loss_cls: 2.2700  detection_loss_cls: 0.0351  detection_loss_reg: 0.3433  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7498  instance_segmentation_loss_cls: 0.0343  instance_segmentation_loss_reg: 0.3490  instance_segmentation_loss_poly: 0.9427
2024/01/06 04:13:28 - mmengine - INFO - Saving checkpoint at 226000 iterations
2024/01/06 04:26:22 - mmengine - INFO - Iter(train) [226500/640000]  base_lr: 1.4430e-04 lr: 1.4430e-05  eta: 7 days, 7:46:58  time: 1.5350  data_time: 0.0228  memory: 25573  grad_norm: 3.1108  loss: 1.3260  caption_loss_cls: 2.2646  detection_loss_cls: 0.0352  detection_loss_reg: 0.3428  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7466  instance_segmentation_loss_cls: 0.0342  instance_segmentation_loss_reg: 0.3471  instance_segmentation_loss_poly: 0.9381
2024/01/06 04:39:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 04:39:29 - mmengine - INFO - Iter(train) [227000/640000]  base_lr: 1.4408e-04 lr: 1.4408e-05  eta: 7 days, 8:02:49  time: 1.5487  data_time: 0.0228  memory: 25573  grad_norm: 3.0840  loss: 1.3151  caption_loss_cls: 2.2651  detection_loss_cls: 0.0353  detection_loss_reg: 0.3440  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7472  instance_segmentation_loss_cls: 0.0341  instance_segmentation_loss_reg: 0.3449  instance_segmentation_loss_poly: 0.9346
2024/01/06 04:53:18 - mmengine - INFO - Iter(train) [227500/640000]  base_lr: 1.4386e-04 lr: 1.4386e-05  eta: 7 days, 9:07:45  time: 1.5690  data_time: 0.0230  memory: 25573  grad_norm: 3.0282  loss: 1.3044  caption_loss_cls: 2.2628  detection_loss_cls: 0.0351  detection_loss_reg: 0.3427  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7420  instance_segmentation_loss_cls: 0.0338  instance_segmentation_loss_reg: 0.3427  instance_segmentation_loss_poly: 0.9290
2024/01/06 05:05:57 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 05:05:57 - mmengine - INFO - Iter(train) [228000/640000]  base_lr: 1.4364e-04 lr: 1.4364e-05  eta: 7 days, 8:38:01  time: 1.5651  data_time: 0.0228  memory: 25573  grad_norm: 3.0123  loss: 1.2971  caption_loss_cls: 2.2485  detection_loss_cls: 0.0348  detection_loss_reg: 0.3401  semantic_segmentation_loss_cls: 0.0087  grounding_loss_reg: 2.7451  instance_segmentation_loss_cls: 0.0339  instance_segmentation_loss_reg: 0.3435  instance_segmentation_loss_poly: 0.9311
2024/01/06 05:05:57 - mmengine - INFO - Saving checkpoint at 228000 iterations
2024/01/06 05:19:11 - mmengine - INFO - Iter(train) [228500/640000]  base_lr: 1.4342e-04 lr: 1.4342e-05  eta: 7 days, 8:48:45  time: 1.5669  data_time: 0.0225  memory: 25573  grad_norm: 2.9554  loss: 1.2903  caption_loss_cls: 2.2476  detection_loss_cls: 0.0347  detection_loss_reg: 0.3391  semantic_segmentation_loss_cls: 0.0087  grounding_loss_reg: 2.7405  instance_segmentation_loss_cls: 0.0339  instance_segmentation_loss_reg: 0.3444  instance_segmentation_loss_poly: 0.9323
2024/01/06 05:32:16 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 05:32:16 - mmengine - INFO - Iter(train) [229000/640000]  base_lr: 1.4320e-04 lr: 1.4320e-05  eta: 7 days, 8:47:15  time: 1.5694  data_time: 0.0224  memory: 25573  grad_norm: 2.9328  loss: 1.2822  caption_loss_cls: 2.2483  detection_loss_cls: 0.0348  detection_loss_reg: 0.3398  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7364  instance_segmentation_loss_cls: 0.0340  instance_segmentation_loss_reg: 0.3449  instance_segmentation_loss_poly: 0.9326
2024/01/06 05:44:41 - mmengine - INFO - Iter(train) [229500/640000]  base_lr: 1.4298e-04 lr: 1.4298e-05  eta: 7 days, 8:06:53  time: 1.5632  data_time: 0.0224  memory: 25573  grad_norm: 2.9530  loss: 1.2953  caption_loss_cls: 2.2469  detection_loss_cls: 0.0347  detection_loss_reg: 0.3392  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7338  instance_segmentation_loss_cls: 0.0342  instance_segmentation_loss_reg: 0.3465  instance_segmentation_loss_poly: 0.9374
2024/01/06 05:57:42 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 05:57:42 - mmengine - INFO - Iter(train) [230000/640000]  base_lr: 1.4276e-04 lr: 1.4276e-05  eta: 7 days, 8:01:58  time: 1.5633  data_time: 0.0224  memory: 25573  grad_norm: 2.9298  loss: 1.3060  caption_loss_cls: 2.2385  detection_loss_cls: 0.0346  detection_loss_reg: 0.3378  semantic_segmentation_loss_cls: 0.0087  grounding_loss_reg: 2.7314  instance_segmentation_loss_cls: 0.0342  instance_segmentation_loss_reg: 0.3470  instance_segmentation_loss_poly: 0.9388
2024/01/06 05:57:42 - mmengine - INFO - Saving checkpoint at 230000 iterations
2024/01/06 06:10:57 - mmengine - INFO - Iter(train) [230500/640000]  base_lr: 1.4253e-04 lr: 1.4253e-05  eta: 7 days, 8:06:39  time: 1.5683  data_time: 0.0224  memory: 25573  grad_norm: 2.9208  loss: 1.3125  caption_loss_cls: 2.2387  detection_loss_cls: 0.0347  detection_loss_reg: 0.3374  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7335  instance_segmentation_loss_cls: 0.0342  instance_segmentation_loss_reg: 0.3479  instance_segmentation_loss_poly: 0.9401
2024/01/06 06:23:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 06:23:50 - mmengine - INFO - Iter(train) [231000/640000]  base_lr: 1.4231e-04 lr: 1.4231e-05  eta: 7 days, 7:52:51  time: 1.5650  data_time: 0.0224  memory: 25573  grad_norm: 2.9280  loss: 1.3099  caption_loss_cls: 2.2356  detection_loss_cls: 0.0346  detection_loss_reg: 0.3368  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7303  instance_segmentation_loss_cls: 0.0341  instance_segmentation_loss_reg: 0.3466  instance_segmentation_loss_poly: 0.9369
2024/01/06 06:36:46 - mmengine - INFO - Iter(train) [231500/640000]  base_lr: 1.4209e-04 lr: 1.4209e-05  eta: 7 days, 7:40:39  time: 1.5514  data_time: 0.0223  memory: 25573  grad_norm: 2.9401  loss: 1.3139  caption_loss_cls: 2.2300  detection_loss_cls: 0.0346  detection_loss_reg: 0.3376  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7255  instance_segmentation_loss_cls: 0.0343  instance_segmentation_loss_reg: 0.3481  instance_segmentation_loss_poly: 0.9404
2024/01/06 06:49:43 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 06:49:43 - mmengine - INFO - Iter(train) [232000/640000]  base_lr: 1.4187e-04 lr: 1.4187e-05  eta: 7 days, 7:29:51  time: 1.5562  data_time: 0.0223  memory: 25573  grad_norm: 2.9351  loss: 1.3183  caption_loss_cls: 2.2291  detection_loss_cls: 0.0346  detection_loss_reg: 0.3375  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7225  instance_segmentation_loss_cls: 0.0343  instance_segmentation_loss_reg: 0.3469  instance_segmentation_loss_poly: 0.9373
2024/01/06 06:49:43 - mmengine - INFO - Saving checkpoint at 232000 iterations
2024/01/06 07:03:02 - mmengine - INFO - Iter(train) [232500/640000]  base_lr: 1.4164e-04 lr: 1.4164e-05  eta: 7 days, 7:33:04  time: 1.5574  data_time: 0.0223  memory: 25573  grad_norm: 2.8693  loss: 1.3098  caption_loss_cls: 2.2277  detection_loss_cls: 0.0348  detection_loss_reg: 0.3390  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7220  instance_segmentation_loss_cls: 0.0341  instance_segmentation_loss_reg: 0.3448  instance_segmentation_loss_poly: 0.9327
2024/01/06 07:15:43 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 07:15:43 - mmengine - INFO - Iter(train) [233000/640000]  base_lr: 1.4142e-04 lr: 1.4142e-05  eta: 7 days, 7:11:09  time: 1.5514  data_time: 0.0222  memory: 25573  grad_norm: 2.8356  loss: 1.3081  caption_loss_cls: 2.2250  detection_loss_cls: 0.0347  detection_loss_reg: 0.3371  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7222  instance_segmentation_loss_cls: 0.0338  instance_segmentation_loss_reg: 0.3426  instance_segmentation_loss_poly: 0.9284
2024/01/06 07:28:11 - mmengine - INFO - Iter(train) [233500/640000]  base_lr: 1.4120e-04 lr: 1.4120e-05  eta: 7 days, 6:42:20  time: 1.5523  data_time: 0.0222  memory: 25573  grad_norm: 2.8500  loss: 1.3070  caption_loss_cls: 2.2239  detection_loss_cls: 0.0347  detection_loss_reg: 0.3379  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7249  instance_segmentation_loss_cls: 0.0337  instance_segmentation_loss_reg: 0.3419  instance_segmentation_loss_poly: 0.9263
2024/01/06 07:41:15 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 07:41:15 - mmengine - INFO - Iter(train) [234000/640000]  base_lr: 1.4097e-04 lr: 1.4097e-05  eta: 7 days, 6:35:08  time: 1.5528  data_time: 0.0222  memory: 25573  grad_norm: 2.8333  loss: 1.3137  caption_loss_cls: 2.2199  detection_loss_cls: 0.0349  detection_loss_reg: 0.3393  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7196  instance_segmentation_loss_cls: 0.0337  instance_segmentation_loss_reg: 0.3426  instance_segmentation_loss_poly: 0.9257
2024/01/06 07:41:15 - mmengine - INFO - Saving checkpoint at 234000 iterations
2024/01/06 07:53:59 - mmengine - INFO - Iter(train) [234500/640000]  base_lr: 1.4075e-04 lr: 1.4075e-05  eta: 7 days, 6:16:38  time: 1.5451  data_time: 0.0221  memory: 25573  grad_norm: 2.8244  loss: 1.3171  caption_loss_cls: 2.2278  detection_loss_cls: 0.0350  detection_loss_reg: 0.3401  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7156  instance_segmentation_loss_cls: 0.0337  instance_segmentation_loss_reg: 0.3432  instance_segmentation_loss_poly: 0.9268
2024/01/06 08:07:00 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 08:07:00 - mmengine - INFO - Iter(train) [235000/640000]  base_lr: 1.4052e-04 lr: 1.4052e-05  eta: 7 days, 6:07:10  time: 1.5469  data_time: 0.0221  memory: 25573  grad_norm: 2.7889  loss: 1.2991  caption_loss_cls: 2.2277  detection_loss_cls: 0.0348  detection_loss_reg: 0.3390  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7096  instance_segmentation_loss_cls: 0.0337  instance_segmentation_loss_reg: 0.3434  instance_segmentation_loss_poly: 0.9270
2024/01/06 08:19:40 - mmengine - INFO - Iter(train) [235500/640000]  base_lr: 1.4030e-04 lr: 1.4030e-05  eta: 7 days, 5:47:19  time: 1.5431  data_time: 0.0220  memory: 25573  grad_norm: 2.8150  loss: 1.3036  caption_loss_cls: 2.2294  detection_loss_cls: 0.0347  detection_loss_reg: 0.3379  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7097  instance_segmentation_loss_cls: 0.0337  instance_segmentation_loss_reg: 0.3434  instance_segmentation_loss_poly: 0.9262
2024/01/06 08:32:18 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 08:32:18 - mmengine - INFO - Iter(train) [236000/640000]  base_lr: 1.4008e-04 lr: 1.4008e-05  eta: 7 days, 5:27:09  time: 1.5384  data_time: 0.0221  memory: 25573  grad_norm: 2.8473  loss: 1.3162  caption_loss_cls: 2.2332  detection_loss_cls: 0.0347  detection_loss_reg: 0.3379  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7086  instance_segmentation_loss_cls: 0.0338  instance_segmentation_loss_reg: 0.3435  instance_segmentation_loss_poly: 0.9260
2024/01/06 08:32:18 - mmengine - INFO - Saving checkpoint at 236000 iterations
2024/01/06 08:45:36 - mmengine - INFO - Iter(train) [236500/640000]  base_lr: 1.3985e-04 lr: 1.3985e-05  eta: 7 days, 5:25:57  time: 1.5381  data_time: 0.0221  memory: 25573  grad_norm: 2.9589  loss: 1.3241  caption_loss_cls: 2.2335  detection_loss_cls: 0.0348  detection_loss_reg: 0.3390  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7032  instance_segmentation_loss_cls: 0.0338  instance_segmentation_loss_reg: 0.3426  instance_segmentation_loss_poly: 0.9239
2024/01/06 08:58:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 08:58:45 - mmengine - INFO - Iter(train) [237000/640000]  base_lr: 1.3963e-04 lr: 1.3963e-05  eta: 7 days, 5:19:43  time: 1.5450  data_time: 0.0222  memory: 25573  grad_norm: 3.0561  loss: 1.3340  caption_loss_cls: 2.2323  detection_loss_cls: 0.0345  detection_loss_reg: 0.3382  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6966  instance_segmentation_loss_cls: 0.0337  instance_segmentation_loss_reg: 0.3410  instance_segmentation_loss_poly: 0.9215
2024/01/06 09:11:26 - mmengine - INFO - Iter(train) [237500/640000]  base_lr: 1.3940e-04 lr: 1.3940e-05  eta: 7 days, 5:01:07  time: 1.5483  data_time: 0.0222  memory: 25573  grad_norm: 3.0361  loss: 1.3278  caption_loss_cls: 2.2363  detection_loss_cls: 0.0347  detection_loss_reg: 0.3402  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6974  instance_segmentation_loss_cls: 0.0336  instance_segmentation_loss_reg: 0.3416  instance_segmentation_loss_poly: 0.9224
2024/01/06 09:24:32 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 09:24:32 - mmengine - INFO - Iter(train) [238000/640000]  base_lr: 1.3917e-04 lr: 1.3917e-05  eta: 7 days, 4:52:54  time: 1.5486  data_time: 0.0222  memory: 25573  grad_norm: 3.0502  loss: 1.3198  caption_loss_cls: 2.2387  detection_loss_cls: 0.0347  detection_loss_reg: 0.3403  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6992  instance_segmentation_loss_cls: 0.0336  instance_segmentation_loss_reg: 0.3412  instance_segmentation_loss_poly: 0.9216
2024/01/06 09:24:32 - mmengine - INFO - Saving checkpoint at 238000 iterations
2024/01/06 09:37:58 - mmengine - INFO - Iter(train) [238500/640000]  base_lr: 1.3895e-04 lr: 1.3895e-05  eta: 7 days, 4:52:56  time: 1.5592  data_time: 0.0223  memory: 25573  grad_norm: 3.0872  loss: 1.3084  caption_loss_cls: 2.2344  detection_loss_cls: 0.0346  detection_loss_reg: 0.3401  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.7001  instance_segmentation_loss_cls: 0.0334  instance_segmentation_loss_reg: 0.3395  instance_segmentation_loss_poly: 0.9164
2024/01/06 09:50:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 09:50:36 - mmengine - INFO - Iter(train) [239000/640000]  base_lr: 1.3872e-04 lr: 1.3872e-05  eta: 7 days, 4:33:09  time: 1.5536  data_time: 0.0223  memory: 25573  grad_norm: 3.1208  loss: 1.3200  caption_loss_cls: 2.2312  detection_loss_cls: 0.0347  detection_loss_reg: 0.3409  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6999  instance_segmentation_loss_cls: 0.0334  instance_segmentation_loss_reg: 0.3400  instance_segmentation_loss_poly: 0.9170
2024/01/06 10:03:13 - mmengine - INFO - Iter(train) [239500/640000]  base_lr: 1.3850e-04 lr: 1.3850e-05  eta: 7 days, 4:13:40  time: 1.5529  data_time: 0.0223  memory: 25573  grad_norm: 3.2124  loss: 1.3225  caption_loss_cls: 2.2303  detection_loss_cls: 0.0344  detection_loss_reg: 0.3383  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6953  instance_segmentation_loss_cls: 0.0335  instance_segmentation_loss_reg: 0.3403  instance_segmentation_loss_poly: 0.9174
2024/01/06 10:16:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 10:16:03 - mmengine - INFO - Iter(train) [240000/640000]  base_lr: 1.3827e-04 lr: 1.3827e-05  eta: 7 days, 3:59:04  time: 1.5557  data_time: 0.0222  memory: 25573  grad_norm: 3.2343  loss: 1.3041  caption_loss_cls: 2.2244  detection_loss_cls: 0.0343  detection_loss_reg: 0.3379  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6925  instance_segmentation_loss_cls: 0.0336  instance_segmentation_loss_reg: 0.3405  instance_segmentation_loss_poly: 0.9170
2024/01/06 10:16:03 - mmengine - INFO - Saving checkpoint at 240000 iterations
2024/01/06 10:27:30 - mmengine - INFO - Evaluating bbox...
2024/01/06 10:28:27 - mmengine - INFO - bbox_mAP_copypaste: 0.493 0.677 0.540 0.336 0.538 0.643
2024/01/06 10:28:27 - mmengine - INFO - Evaluating segm...
2024/01/06 10:29:43 - mmengine - INFO - segm_mAP_copypaste: 0.325 0.589 0.315 0.184 0.373 0.499
2024/01/06 10:31:53 - mmengine - INFO - Evaluating bbox...
2024/01/06 10:32:51 - mmengine - INFO - bbox_mAP_copypaste: 0.492 0.676 0.539 0.333 0.537 0.641
2024/01/06 10:39:28 - mmengine - INFO - per class results:
2024/01/06 10:39:28 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.03 | 89.61 |
|       building      | 79.69 | 85.82 |
|         sky         | 93.06 | 97.57 |
|        floor        | 82.43 | 89.36 |
|         tree        | 74.18 | 89.29 |
|       ceiling       | 85.12 | 94.04 |
|         road        | 83.77 | 91.35 |
|         bed         | 88.49 | 95.11 |
|      windowpane     | 61.52 | 72.68 |
|        grass        | 66.91 | 84.28 |
|       cabinet       | 61.66 | 69.23 |
|       sidewalk      | 66.31 | 78.36 |
|        person       | 80.09 | 91.83 |
|        earth        | 36.34 |  43.8 |
|         door        | 56.06 | 71.09 |
|        table        | 61.74 | 83.76 |
|       mountain      | 58.68 | 75.04 |
|        plant        |  52.8 | 62.32 |
|       curtain       | 75.41 | 89.03 |
|        chair        |  60.6 | 73.67 |
|         car         |  83.1 | 89.22 |
|        water        | 58.94 |  78.5 |
|       painting      | 72.75 |  85.2 |
|         sofa        | 72.97 | 86.01 |
|        shelf        | 44.55 | 69.88 |
|        house        | 37.61 | 86.42 |
|         sea         | 64.12 | 83.28 |
|        mirror       | 64.78 | 70.17 |
|         rug         | 66.95 | 80.86 |
|        field        | 35.41 | 56.09 |
|       armchair      | 51.66 | 68.01 |
|         seat        | 63.25 | 78.87 |
|        fence        | 43.81 | 57.19 |
|         desk        | 50.29 | 70.99 |
|         rock        | 53.67 | 72.96 |
|       wardrobe      | 44.93 |  65.8 |
|         lamp        |  62.3 | 74.69 |
|       bathtub       | 83.47 | 87.65 |
|       railing       | 39.37 | 62.22 |
|       cushion       | 58.47 | 78.09 |
|         base        | 25.35 | 29.69 |
|         box         |  29.0 | 39.61 |
|        column       | 51.56 | 64.09 |
|      signboard      | 37.71 | 52.16 |
|   chest of drawers  | 42.53 | 63.62 |
|       counter       | 28.11 | 44.41 |
|         sand        | 50.27 | 67.61 |
|         sink        | 74.07 | 86.68 |
|      skyscraper     | 60.74 | 93.96 |
|      fireplace      | 75.29 | 93.25 |
|     refrigerator    | 76.89 | 84.31 |
|      grandstand     | 50.91 | 79.26 |
|         path        |  18.6 | 32.58 |
|        stairs       |  34.7 | 42.19 |
|        runway       | 69.64 | 94.17 |
|         case        | 49.29 | 61.47 |
|      pool table     | 91.74 | 94.72 |
|        pillow       | 58.37 | 67.29 |
|     screen door     | 62.09 | 63.21 |
|       stairway      | 31.89 | 45.33 |
|        river        | 14.36 | 19.92 |
|        bridge       | 59.07 | 75.05 |
|       bookcase      | 29.32 | 45.18 |
|        blind        | 41.75 | 52.06 |
|     coffee table    | 63.69 | 76.61 |
|        toilet       | 85.89 | 92.08 |
|        flower       |  35.6 | 51.19 |
|         book        |  45.7 | 70.18 |
|         hill        | 13.71 | 18.46 |
|        bench        | 56.57 | 68.09 |
|      countertop     | 58.08 | 73.05 |
|        stove        | 76.47 | 81.96 |
|         palm        | 47.09 | 74.23 |
|    kitchen island   |  43.3 |  53.5 |
|       computer      | 72.65 | 93.21 |
|     swivel chair    | 49.99 |  65.3 |
|         boat        | 70.78 | 87.45 |
|         bar         | 41.46 | 56.22 |
|    arcade machine   | 35.25 | 35.91 |
|        hovel        | 33.73 |  41.9 |
|         bus         |  91.8 | 95.08 |
|        towel        | 62.48 | 78.07 |
|        light        | 52.25 | 65.76 |
|        truck        |  36.8 |  52.6 |
|        tower        | 25.43 | 43.06 |
|      chandelier     | 66.66 |  79.5 |
|        awning       | 31.96 | 38.42 |
|     streetlight     | 34.96 | 50.69 |
|        booth        | 48.37 | 57.74 |
| television receiver | 67.15 | 89.54 |
|       airplane      | 53.71 | 69.05 |
|      dirt track     |  2.71 | 37.46 |
|       apparel       |  31.4 | 48.73 |
|         pole        |  25.0 | 34.93 |
|         land        |  0.22 |  0.25 |
|      bannister      | 15.22 | 20.52 |
|      escalator      | 22.25 |  23.4 |
|       ottoman       | 46.97 | 72.78 |
|        bottle       | 25.41 | 32.76 |
|        buffet       | 58.97 | 72.65 |
|        poster       | 34.04 | 47.51 |
|        stage        | 13.17 | 15.07 |
|         van         | 41.49 | 76.38 |
|         ship        | 30.73 | 33.84 |
|       fountain      |  5.71 |  5.77 |
|    conveyer belt    | 73.83 |  87.7 |
|        canopy       | 26.56 | 56.05 |
|        washer       | 76.04 | 78.39 |
|      plaything      | 34.18 | 54.81 |
|    swimming pool    | 57.76 |  67.7 |
|        stool        | 46.24 | 61.34 |
|        barrel       |  16.9 | 64.66 |
|        basket       | 38.12 | 60.43 |
|      waterfall      |  55.4 | 60.96 |
|         tent        | 92.03 | 97.25 |
|         bag         | 24.63 | 36.05 |
|       minibike      | 71.01 | 82.75 |
|        cradle       | 78.71 |  97.0 |
|         oven        | 50.73 | 60.34 |
|         ball        | 46.12 | 59.49 |
|         food        | 53.54 | 57.04 |
|         step        | 14.12 | 17.19 |
|         tank        | 49.02 |  66.3 |
|      trade name     |  15.9 | 17.56 |
|      microwave      | 84.22 | 92.14 |
|         pot         | 50.54 |  64.9 |
|        animal       | 57.62 | 60.49 |
|       bicycle       | 58.54 | 75.52 |
|         lake        |  46.0 | 62.23 |
|      dishwasher     | 71.83 | 85.89 |
|        screen       | 77.62 | 87.95 |
|       blanket       | 17.75 | 21.51 |
|      sculpture      |  55.1 | 86.38 |
|         hood        | 63.92 | 69.72 |
|        sconce       |  42.7 | 55.67 |
|         vase        | 44.01 | 58.14 |
|    traffic light    | 40.56 | 61.12 |
|         tray        | 11.85 | 13.59 |
|        ashcan       | 32.19 | 37.89 |
|         fan         | 60.44 | 75.68 |
|         pier        | 40.55 | 48.27 |
|      crt screen     |  5.53 |  6.25 |
|        plate        | 56.88 | 77.12 |
|       monitor       | 42.74 | 51.37 |
|    bulletin board   | 31.75 | 34.18 |
|        shower       |  8.5  |  20.1 |
|       radiator      | 56.02 | 65.92 |
|        glass        | 15.59 | 16.51 |
|        clock        | 27.04 |  40.3 |
|         flag        | 37.85 | 44.49 |
+---------------------+-------+-------+
2024/01/06 10:39:42 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4920  coco/bbox_mAP_50: 0.6760  coco/bbox_mAP_75: 0.5390  coco/bbox_mAP_s: 0.3330  coco/bbox_mAP_m: 0.5370  coco/bbox_mAP_l: 0.6410  coco/segm_mAP: 0.3250  coco/segm_mAP_50: 0.5890  coco/segm_mAP_75: 0.3150  coco/segm_mAP_s: 0.1840  coco/segm_mAP_m: 0.3730  coco/segm_mAP_l: 0.4990  Bleu_1: 0.7422  Bleu_2: 0.5720  Bleu_3: 0.4266  Bleu_4: 0.3136  METEOR: 0.2592  ROUGE_L: 0.5425  CIDEr: 1.0090  SPICE: 0.1941  aAcc: 83.3300  mIoU: 50.2200  mAcc: 63.3200  visual-grounding/miou: 0.7897  visual-grounding/acc: 0.8581  data_time: 0.0278  time: 1.9402
2024/01/06 10:52:20 - mmengine - INFO - Iter(train) [240500/640000]  base_lr: 1.3804e-04 lr: 1.3804e-05  eta: 7 days, 3:41:20  time: 1.5463  data_time: 0.0171  memory: 34667  grad_norm: 3.2046  loss: 1.3148  caption_loss_cls: 2.2221  detection_loss_cls: 0.0341  detection_loss_reg: 0.3360  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6937  instance_segmentation_loss_cls: 0.0336  instance_segmentation_loss_reg: 0.3405  instance_segmentation_loss_poly: 0.9181
2024/01/06 11:04:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 11:04:36 - mmengine - INFO - Iter(train) [241000/640000]  base_lr: 1.3781e-04 lr: 1.3781e-05  eta: 7 days, 3:15:09  time: 1.5331  data_time: 0.0172  memory: 25572  grad_norm: 3.3357  loss: 1.3141  caption_loss_cls: 2.2161  detection_loss_cls: 0.0341  detection_loss_reg: 0.3350  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6974  instance_segmentation_loss_cls: 0.0337  instance_segmentation_loss_reg: 0.3418  instance_segmentation_loss_poly: 0.9216
2024/01/06 11:17:36 - mmengine - INFO - Iter(train) [241500/640000]  base_lr: 1.3759e-04 lr: 1.3759e-05  eta: 7 days, 3:04:38  time: 1.5377  data_time: 0.0175  memory: 25572  grad_norm: 3.3715  loss: 1.3025  caption_loss_cls: 2.2236  detection_loss_cls: 0.0340  detection_loss_reg: 0.3345  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6939  instance_segmentation_loss_cls: 0.0334  instance_segmentation_loss_reg: 0.3385  instance_segmentation_loss_poly: 0.9143
2024/01/06 11:30:01 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 11:30:01 - mmengine - INFO - Iter(train) [242000/640000]  base_lr: 1.3736e-04 lr: 1.3736e-05  eta: 7 days, 2:42:28  time: 1.5277  data_time: 0.0177  memory: 25572  grad_norm: 3.3937  loss: 1.3097  caption_loss_cls: 2.2168  detection_loss_cls: 0.0340  detection_loss_reg: 0.3358  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6871  instance_segmentation_loss_cls: 0.0334  instance_segmentation_loss_reg: 0.3392  instance_segmentation_loss_poly: 0.9151
2024/01/06 11:30:01 - mmengine - INFO - Saving checkpoint at 242000 iterations
2024/01/06 11:43:14 - mmengine - INFO - Iter(train) [242500/640000]  base_lr: 1.3713e-04 lr: 1.3713e-05  eta: 7 days, 2:36:22  time: 1.5244  data_time: 0.0197  memory: 25572  grad_norm: 3.3442  loss: 1.3084  caption_loss_cls: 2.2216  detection_loss_cls: 0.0341  detection_loss_reg: 0.3364  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6813  instance_segmentation_loss_cls: 0.0330  instance_segmentation_loss_reg: 0.3358  instance_segmentation_loss_poly: 0.9063
2024/01/06 11:55:35 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 11:55:35 - mmengine - INFO - Iter(train) [243000/640000]  base_lr: 1.3690e-04 lr: 1.3690e-05  eta: 7 days, 2:13:22  time: 1.5201  data_time: 0.0199  memory: 25572  grad_norm: 3.3526  loss: 1.3136  caption_loss_cls: 2.2211  detection_loss_cls: 0.0339  detection_loss_reg: 0.3349  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6753  instance_segmentation_loss_cls: 0.0332  instance_segmentation_loss_reg: 0.3362  instance_segmentation_loss_poly: 0.9062
2024/01/06 12:08:18 - mmengine - INFO - Iter(train) [243500/640000]  base_lr: 1.3668e-04 lr: 1.3668e-05  eta: 7 days, 1:57:52  time: 1.5216  data_time: 0.0201  memory: 25572  grad_norm: 3.2545  loss: 1.3085  caption_loss_cls: 2.2282  detection_loss_cls: 0.0341  detection_loss_reg: 0.3364  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6746  instance_segmentation_loss_cls: 0.0331  instance_segmentation_loss_reg: 0.3351  instance_segmentation_loss_poly: 0.9037
2024/01/06 12:21:17 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 12:21:17 - mmengine - INFO - Iter(train) [244000/640000]  base_lr: 1.3645e-04 lr: 1.3645e-05  eta: 7 days, 1:47:07  time: 1.5239  data_time: 0.0205  memory: 25572  grad_norm: 3.1663  loss: 1.3040  caption_loss_cls: 2.2309  detection_loss_cls: 0.0339  detection_loss_reg: 0.3352  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6745  instance_segmentation_loss_cls: 0.0330  instance_segmentation_loss_reg: 0.3344  instance_segmentation_loss_poly: 0.9014
2024/01/06 12:21:17 - mmengine - INFO - Saving checkpoint at 244000 iterations
2024/01/06 12:34:30 - mmengine - INFO - Iter(train) [244500/640000]  base_lr: 1.3622e-04 lr: 1.3622e-05  eta: 7 days, 1:40:18  time: 1.5319  data_time: 0.0270  memory: 25572  grad_norm: 3.1173  loss: 1.2960  caption_loss_cls: 2.2352  detection_loss_cls: 0.0339  detection_loss_reg: 0.3366  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6772  instance_segmentation_loss_cls: 0.0331  instance_segmentation_loss_reg: 0.3340  instance_segmentation_loss_poly: 0.9010
2024/01/06 12:46:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 12:46:45 - mmengine - INFO - Iter(train) [245000/640000]  base_lr: 1.3599e-04 lr: 1.3599e-05  eta: 7 days, 1:16:41  time: 1.5316  data_time: 0.0269  memory: 25572  grad_norm: 2.9885  loss: 1.2992  caption_loss_cls: 2.2345  detection_loss_cls: 0.0340  detection_loss_reg: 0.3372  semantic_segmentation_loss_cls: 0.0087  grounding_loss_reg: 2.6785  instance_segmentation_loss_cls: 0.0330  instance_segmentation_loss_reg: 0.3334  instance_segmentation_loss_poly: 0.9006
2024/01/06 12:59:04 - mmengine - INFO - Iter(train) [245500/640000]  base_lr: 1.3576e-04 lr: 1.3576e-05  eta: 7 days, 0:54:39  time: 1.5214  data_time: 0.0268  memory: 25572  grad_norm: 2.9732  loss: 1.3088  caption_loss_cls: 2.2347  detection_loss_cls: 0.0341  detection_loss_reg: 0.3384  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6794  instance_segmentation_loss_cls: 0.0327  instance_segmentation_loss_reg: 0.3305  instance_segmentation_loss_poly: 0.8956
2024/01/06 13:11:37 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 13:11:37 - mmengine - INFO - Iter(train) [246000/640000]  base_lr: 1.3553e-04 lr: 1.3553e-05  eta: 7 days, 0:37:02  time: 1.5235  data_time: 0.0269  memory: 25572  grad_norm: 2.9624  loss: 1.3133  caption_loss_cls: 2.2366  detection_loss_cls: 0.0341  detection_loss_reg: 0.3385  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6742  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3315  instance_segmentation_loss_poly: 0.8973
2024/01/06 13:11:37 - mmengine - INFO - Saving checkpoint at 246000 iterations
2024/01/06 13:24:44 - mmengine - INFO - Iter(train) [246500/640000]  base_lr: 1.3530e-04 lr: 1.3530e-05  eta: 7 days, 0:28:41  time: 1.5221  data_time: 0.0263  memory: 25572  grad_norm: 2.9590  loss: 1.3126  caption_loss_cls: 2.2374  detection_loss_cls: 0.0339  detection_loss_reg: 0.3370  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6747  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3315  instance_segmentation_loss_poly: 0.8981
2024/01/06 13:37:55 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 13:37:55 - mmengine - INFO - Iter(train) [247000/640000]  base_lr: 1.3507e-04 lr: 1.3507e-05  eta: 7 days, 0:20:52  time: 1.5344  data_time: 0.0264  memory: 25572  grad_norm: 2.9102  loss: 1.3089  caption_loss_cls: 2.2391  detection_loss_cls: 0.0337  detection_loss_reg: 0.3371  semantic_segmentation_loss_cls: 0.0087  grounding_loss_reg: 2.6719  instance_segmentation_loss_cls: 0.0327  instance_segmentation_loss_reg: 0.3321  instance_segmentation_loss_poly: 0.8988
2024/01/06 13:50:11 - mmengine - INFO - Iter(train) [247500/640000]  base_lr: 1.3484e-04 lr: 1.3484e-05  eta: 6 days, 23:59:02  time: 1.5276  data_time: 0.0264  memory: 25572  grad_norm: 2.9324  loss: 1.3151  caption_loss_cls: 2.2445  detection_loss_cls: 0.0337  detection_loss_reg: 0.3367  semantic_segmentation_loss_cls: 0.0088  grounding_loss_reg: 2.6720  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3308  instance_segmentation_loss_poly: 0.8950
2024/01/06 14:02:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 14:02:11 - mmengine - INFO - Iter(train) [248000/640000]  base_lr: 1.3461e-04 lr: 1.3461e-05  eta: 6 days, 23:33:29  time: 1.5129  data_time: 0.0261  memory: 25572  grad_norm: 2.9967  loss: 1.3312  caption_loss_cls: 2.2481  detection_loss_cls: 0.0337  detection_loss_reg: 0.3371  semantic_segmentation_loss_cls: 0.0087  grounding_loss_reg: 2.6699  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3310  instance_segmentation_loss_poly: 0.8956
2024/01/06 14:02:11 - mmengine - INFO - Saving checkpoint at 248000 iterations
2024/01/06 14:15:01 - mmengine - INFO - Iter(train) [248500/640000]  base_lr: 1.3438e-04 lr: 1.3438e-05  eta: 6 days, 23:20:45  time: 1.5073  data_time: 0.0261  memory: 25572  grad_norm: 3.0368  loss: 1.3265  caption_loss_cls: 2.2430  detection_loss_cls: 0.0339  detection_loss_reg: 0.3389  semantic_segmentation_loss_cls: 0.0087  grounding_loss_reg: 2.6697  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3318  instance_segmentation_loss_poly: 0.8953
2024/01/06 14:27:46 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 14:27:46 - mmengine - INFO - Iter(train) [249000/640000]  base_lr: 1.3415e-04 lr: 1.3415e-05  eta: 6 days, 23:06:52  time: 1.5149  data_time: 0.0262  memory: 25572  grad_norm: 3.0429  loss: 1.3264  caption_loss_cls: 2.2477  detection_loss_cls: 0.0338  detection_loss_reg: 0.3383  semantic_segmentation_loss_cls: 0.0087  grounding_loss_reg: 2.6740  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3321  instance_segmentation_loss_poly: 0.8959
2024/01/06 14:40:01 - mmengine - INFO - Iter(train) [249500/640000]  base_lr: 1.3392e-04 lr: 1.3392e-05  eta: 6 days, 22:45:48  time: 1.5138  data_time: 0.0263  memory: 25572  grad_norm: 3.0888  loss: 1.3468  caption_loss_cls: 2.2613  detection_loss_cls: 0.0336  detection_loss_reg: 0.3368  semantic_segmentation_loss_cls: 0.0087  grounding_loss_reg: 2.6714  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3325  instance_segmentation_loss_poly: 0.8966
2024/01/06 14:52:48 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 14:52:48 - mmengine - INFO - Iter(train) [250000/640000]  base_lr: 1.3369e-04 lr: 1.3369e-05  eta: 6 days, 22:32:35  time: 1.5173  data_time: 0.0264  memory: 25572  grad_norm: 3.1032  loss: 1.3413  caption_loss_cls: 2.2649  detection_loss_cls: 0.0338  detection_loss_reg: 0.3378  semantic_segmentation_loss_cls: 0.0087  grounding_loss_reg: 2.6709  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3315  instance_segmentation_loss_poly: 0.8925
2024/01/06 14:52:48 - mmengine - INFO - Saving checkpoint at 250000 iterations
2024/01/06 15:06:17 - mmengine - INFO - Iter(train) [250500/640000]  base_lr: 1.3346e-04 lr: 1.3346e-05  eta: 6 days, 22:28:49  time: 1.5226  data_time: 0.0264  memory: 25572  grad_norm: 3.1476  loss: 1.3284  caption_loss_cls: 2.2617  detection_loss_cls: 0.0338  detection_loss_reg: 0.3380  semantic_segmentation_loss_cls: 0.0087  grounding_loss_reg: 2.6688  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3297  instance_segmentation_loss_poly: 0.8872
2024/01/06 15:18:48 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 15:18:48 - mmengine - INFO - Iter(train) [251000/640000]  base_lr: 1.3323e-04 lr: 1.3323e-05  eta: 6 days, 22:11:48  time: 1.5128  data_time: 0.0263  memory: 25572  grad_norm: 3.2121  loss: 1.3313  caption_loss_cls: 2.2620  detection_loss_cls: 0.0340  detection_loss_reg: 0.3401  semantic_segmentation_loss_cls: 0.0087  grounding_loss_reg: 2.6688  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3297  instance_segmentation_loss_poly: 0.8872
2024/01/06 15:31:28 - mmengine - INFO - Iter(train) [251500/640000]  base_lr: 1.3300e-04 lr: 1.3300e-05  eta: 6 days, 21:57:04  time: 1.5188  data_time: 0.0264  memory: 25572  grad_norm: 3.2316  loss: 1.3171  caption_loss_cls: 2.2585  detection_loss_cls: 0.0339  detection_loss_reg: 0.3388  semantic_segmentation_loss_cls: 0.0086  grounding_loss_reg: 2.6668  instance_segmentation_loss_cls: 0.0322  instance_segmentation_loss_reg: 0.3292  instance_segmentation_loss_poly: 0.8855
2024/01/06 15:44:57 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 15:44:57 - mmengine - INFO - Iter(train) [252000/640000]  base_lr: 1.3276e-04 lr: 1.3276e-05  eta: 6 days, 21:52:49  time: 1.5410  data_time: 0.0268  memory: 25572  grad_norm: 3.1665  loss: 1.3053  caption_loss_cls: 2.2521  detection_loss_cls: 0.0338  detection_loss_reg: 0.3394  semantic_segmentation_loss_cls: 0.0086  grounding_loss_reg: 2.6675  instance_segmentation_loss_cls: 0.0322  instance_segmentation_loss_reg: 0.3296  instance_segmentation_loss_poly: 0.8860
2024/01/06 15:44:57 - mmengine - INFO - Saving checkpoint at 252000 iterations
2024/01/06 15:57:47 - mmengine - INFO - Iter(train) [252500/640000]  base_lr: 1.3253e-04 lr: 1.3253e-05  eta: 6 days, 21:40:02  time: 1.5410  data_time: 0.0268  memory: 25572  grad_norm: 3.1852  loss: 1.3099  caption_loss_cls: 2.2503  detection_loss_cls: 0.0338  detection_loss_reg: 0.3387  semantic_segmentation_loss_cls: 0.0086  grounding_loss_reg: 2.6673  instance_segmentation_loss_cls: 0.0322  instance_segmentation_loss_reg: 0.3301  instance_segmentation_loss_poly: 0.8866
2024/01/06 16:10:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 16:10:36 - mmengine - INFO - Iter(train) [253000/640000]  base_lr: 1.3230e-04 lr: 1.3230e-05  eta: 6 days, 21:27:07  time: 1.5420  data_time: 0.0268  memory: 25572  grad_norm: 3.1358  loss: 1.3122  caption_loss_cls: 2.2560  detection_loss_cls: 0.0335  detection_loss_reg: 0.3369  semantic_segmentation_loss_cls: 0.0086  grounding_loss_reg: 2.6658  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3315  instance_segmentation_loss_poly: 0.8904
2024/01/06 16:22:41 - mmengine - INFO - Iter(train) [253500/640000]  base_lr: 1.3207e-04 lr: 1.3207e-05  eta: 6 days, 21:04:59  time: 1.5394  data_time: 0.0267  memory: 25572  grad_norm: 3.0955  loss: 1.3039  caption_loss_cls: 2.2610  detection_loss_cls: 0.0333  detection_loss_reg: 0.3353  semantic_segmentation_loss_cls: 0.0086  grounding_loss_reg: 2.6670  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3333  instance_segmentation_loss_poly: 0.8932
2024/01/06 16:35:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 16:35:49 - mmengine - INFO - Iter(train) [254000/640000]  base_lr: 1.3183e-04 lr: 1.3183e-05  eta: 6 days, 20:56:02  time: 1.5447  data_time: 0.0268  memory: 25572  grad_norm: 3.1221  loss: 1.2995  caption_loss_cls: 2.2573  detection_loss_cls: 0.0332  detection_loss_reg: 0.3352  semantic_segmentation_loss_cls: 0.0085  grounding_loss_reg: 2.6685  instance_segmentation_loss_cls: 0.0327  instance_segmentation_loss_reg: 0.3327  instance_segmentation_loss_poly: 0.8935
2024/01/06 16:35:49 - mmengine - INFO - Saving checkpoint at 254000 iterations
2024/01/06 16:48:47 - mmengine - INFO - Iter(train) [254500/640000]  base_lr: 1.3160e-04 lr: 1.3160e-05  eta: 6 days, 20:44:50  time: 1.5369  data_time: 0.0266  memory: 25572  grad_norm: 3.1417  loss: 1.3114  caption_loss_cls: 2.2543  detection_loss_cls: 0.0329  detection_loss_reg: 0.3341  semantic_segmentation_loss_cls: 0.0085  grounding_loss_reg: 2.6673  instance_segmentation_loss_cls: 0.0328  instance_segmentation_loss_reg: 0.3323  instance_segmentation_loss_poly: 0.8935
2024/01/06 17:01:15 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 17:01:15 - mmengine - INFO - Iter(train) [255000/640000]  base_lr: 1.3137e-04 lr: 1.3137e-05  eta: 6 days, 20:27:52  time: 1.5363  data_time: 0.0266  memory: 25572  grad_norm: 3.1540  loss: 1.3233  caption_loss_cls: 2.2573  detection_loss_cls: 0.0332  detection_loss_reg: 0.3357  semantic_segmentation_loss_cls: 0.0085  grounding_loss_reg: 2.6704  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3310  instance_segmentation_loss_poly: 0.8922
2024/01/06 17:14:03 - mmengine - INFO - Iter(train) [255500/640000]  base_lr: 1.3114e-04 lr: 1.3114e-05  eta: 6 days, 20:14:57  time: 1.5383  data_time: 0.0267  memory: 25572  grad_norm: 3.1157  loss: 1.3308  caption_loss_cls: 2.2528  detection_loss_cls: 0.0332  detection_loss_reg: 0.3361  semantic_segmentation_loss_cls: 0.0085  grounding_loss_reg: 2.6685  instance_segmentation_loss_cls: 0.0328  instance_segmentation_loss_reg: 0.3332  instance_segmentation_loss_poly: 0.8973
2024/01/06 17:26:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 17:26:29 - mmengine - INFO - Iter(train) [256000/640000]  base_lr: 1.3090e-04 lr: 1.3090e-05  eta: 6 days, 19:57:43  time: 1.5225  data_time: 0.0265  memory: 25572  grad_norm: 3.1719  loss: 1.3351  caption_loss_cls: 2.2561  detection_loss_cls: 0.0330  detection_loss_reg: 0.3353  semantic_segmentation_loss_cls: 0.0085  grounding_loss_reg: 2.6677  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3322  instance_segmentation_loss_poly: 0.8974
2024/01/06 17:26:29 - mmengine - INFO - Saving checkpoint at 256000 iterations
2024/01/06 17:39:23 - mmengine - INFO - Iter(train) [256500/640000]  base_lr: 1.3067e-04 lr: 1.3067e-05  eta: 6 days, 19:45:53  time: 1.5235  data_time: 0.0265  memory: 25572  grad_norm: 3.1871  loss: 1.3430  caption_loss_cls: 2.2524  detection_loss_cls: 0.0332  detection_loss_reg: 0.3370  semantic_segmentation_loss_cls: 0.0085  grounding_loss_reg: 2.6689  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3315  instance_segmentation_loss_poly: 0.8964
2024/01/06 17:51:55 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 17:51:55 - mmengine - INFO - Iter(train) [257000/640000]  base_lr: 1.3043e-04 lr: 1.3043e-05  eta: 6 days, 19:29:58  time: 1.5192  data_time: 0.0265  memory: 25572  grad_norm: 3.2617  loss: 1.3380  caption_loss_cls: 2.2476  detection_loss_cls: 0.0332  detection_loss_reg: 0.3365  semantic_segmentation_loss_cls: 0.0084  grounding_loss_reg: 2.6731  instance_segmentation_loss_cls: 0.0327  instance_segmentation_loss_reg: 0.3335  instance_segmentation_loss_poly: 0.9008
2024/01/06 18:04:31 - mmengine - INFO - Iter(train) [257500/640000]  base_lr: 1.3020e-04 lr: 1.3020e-05  eta: 6 days, 19:14:52  time: 1.5271  data_time: 0.0266  memory: 25572  grad_norm: 3.2214  loss: 1.3235  caption_loss_cls: 2.2439  detection_loss_cls: 0.0330  detection_loss_reg: 0.3353  semantic_segmentation_loss_cls: 0.0084  grounding_loss_reg: 2.6746  instance_segmentation_loss_cls: 0.0329  instance_segmentation_loss_reg: 0.3351  instance_segmentation_loss_poly: 0.9038
2024/01/06 18:17:10 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 18:17:10 - mmengine - INFO - Iter(train) [258000/640000]  base_lr: 1.2997e-04 lr: 1.2997e-05  eta: 6 days, 19:00:24  time: 1.5198  data_time: 0.0265  memory: 25572  grad_norm: 3.1893  loss: 1.3277  caption_loss_cls: 2.2427  detection_loss_cls: 0.0328  detection_loss_reg: 0.3328  semantic_segmentation_loss_cls: 0.0084  grounding_loss_reg: 2.6737  instance_segmentation_loss_cls: 0.0328  instance_segmentation_loss_reg: 0.3351  instance_segmentation_loss_poly: 0.9038
2024/01/06 18:17:10 - mmengine - INFO - Saving checkpoint at 258000 iterations
2024/01/06 18:30:27 - mmengine - INFO - Iter(train) [258500/640000]  base_lr: 1.2973e-04 lr: 1.2973e-05  eta: 6 days, 18:52:37  time: 1.5246  data_time: 0.0267  memory: 25572  grad_norm: 3.1633  loss: 1.3360  caption_loss_cls: 2.2383  detection_loss_cls: 0.0329  detection_loss_reg: 0.3343  semantic_segmentation_loss_cls: 0.0084  grounding_loss_reg: 2.6723  instance_segmentation_loss_cls: 0.0329  instance_segmentation_loss_reg: 0.3359  instance_segmentation_loss_poly: 0.9047
2024/01/06 18:43:28 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 18:43:28 - mmengine - INFO - Iter(train) [259000/640000]  base_lr: 1.2950e-04 lr: 1.2950e-05  eta: 6 days, 18:41:55  time: 1.5329  data_time: 0.0268  memory: 25572  grad_norm: 3.1978  loss: 1.3142  caption_loss_cls: 2.2349  detection_loss_cls: 0.0329  detection_loss_reg: 0.3339  semantic_segmentation_loss_cls: 0.0084  grounding_loss_reg: 2.6743  instance_segmentation_loss_cls: 0.0329  instance_segmentation_loss_reg: 0.3356  instance_segmentation_loss_poly: 0.9041
2024/01/06 18:56:02 - mmengine - INFO - Iter(train) [259500/640000]  base_lr: 1.2926e-04 lr: 1.2926e-05  eta: 6 days, 18:26:33  time: 1.5291  data_time: 0.0267  memory: 25572  grad_norm: 3.2533  loss: 1.3178  caption_loss_cls: 2.2334  detection_loss_cls: 0.0331  detection_loss_reg: 0.3362  semantic_segmentation_loss_cls: 0.0084  grounding_loss_reg: 2.6767  instance_segmentation_loss_cls: 0.0328  instance_segmentation_loss_reg: 0.3350  instance_segmentation_loss_poly: 0.9040
2024/01/06 19:08:20 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 19:08:20 - mmengine - INFO - Iter(train) [260000/640000]  base_lr: 1.2903e-04 lr: 1.2903e-05  eta: 6 days, 18:08:39  time: 1.5273  data_time: 0.0267  memory: 25572  grad_norm: 3.2537  loss: 1.3224  caption_loss_cls: 2.2369  detection_loss_cls: 0.0333  detection_loss_reg: 0.3396  semantic_segmentation_loss_cls: 0.0084  grounding_loss_reg: 2.6734  instance_segmentation_loss_cls: 0.0327  instance_segmentation_loss_reg: 0.3346  instance_segmentation_loss_poly: 0.9030
2024/01/06 19:08:20 - mmengine - INFO - Saving checkpoint at 260000 iterations
2024/01/06 19:20:00 - mmengine - INFO - Evaluating bbox...
2024/01/06 19:21:00 - mmengine - INFO - bbox_mAP_copypaste: 0.491 0.676 0.538 0.332 0.543 0.635
2024/01/06 19:21:00 - mmengine - INFO - Evaluating segm...
2024/01/06 19:22:13 - mmengine - INFO - segm_mAP_copypaste: 0.327 0.590 0.321 0.182 0.369 0.502
2024/01/06 19:24:21 - mmengine - INFO - Evaluating bbox...
2024/01/06 19:25:20 - mmengine - INFO - bbox_mAP_copypaste: 0.490 0.674 0.537 0.331 0.543 0.633
2024/01/06 19:30:12 - mmengine - INFO - per class results:
2024/01/06 19:30:12 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 78.49 | 89.28 |
|       building      | 82.17 | 91.24 |
|         sky         | 93.19 | 97.59 |
|        floor        | 81.67 | 89.94 |
|         tree        |  74.4 | 85.45 |
|       ceiling       |  85.2 | 92.59 |
|         road        |  82.6 |  90.2 |
|         bed         | 88.99 | 96.74 |
|      windowpane     | 63.96 | 80.45 |
|        grass        | 64.57 | 76.68 |
|       cabinet       | 64.65 | 76.63 |
|       sidewalk      |  67.7 | 82.83 |
|        person       | 81.13 |  90.3 |
|        earth        | 35.05 | 47.89 |
|         door        | 54.82 | 66.81 |
|        table        | 62.17 |  81.0 |
|       mountain      | 58.81 | 74.16 |
|        plant        | 51.73 |  63.4 |
|       curtain       | 73.97 | 90.78 |
|        chair        |  61.0 | 75.37 |
|         car         | 84.36 |  91.5 |
|        water        | 60.31 | 72.05 |
|       painting      | 71.24 | 89.58 |
|         sofa        | 70.96 | 83.41 |
|        shelf        |  44.4 | 65.21 |
|        house        | 44.17 |  73.2 |
|         sea         | 69.13 | 83.26 |
|        mirror       | 68.61 | 75.21 |
|         rug         | 68.13 | 83.08 |
|        field        | 29.52 | 54.07 |
|       armchair      | 50.97 | 69.02 |
|         seat        | 64.66 | 80.88 |
|        fence        | 47.35 | 70.29 |
|         desk        | 50.81 | 65.07 |
|         rock        | 52.76 | 80.38 |
|       wardrobe      | 50.52 | 68.94 |
|         lamp        | 63.12 | 78.37 |
|       bathtub       | 79.53 | 88.25 |
|       railing       |  35.7 | 51.04 |
|       cushion       | 58.84 | 72.66 |
|         base        | 27.08 | 34.56 |
|         box         | 26.68 | 34.74 |
|        column       | 51.69 | 61.57 |
|      signboard      | 37.67 | 54.92 |
|   chest of drawers  | 34.98 | 51.19 |
|       counter       | 34.62 | 47.67 |
|         sand        | 39.45 | 54.95 |
|         sink        | 77.18 | 85.74 |
|      skyscraper     | 58.88 | 72.11 |
|      fireplace      | 71.12 | 92.08 |
|     refrigerator    |  76.2 | 83.52 |
|      grandstand     | 47.94 | 79.65 |
|         path        | 15.75 | 22.18 |
|        stairs       | 31.61 | 37.42 |
|        runway       | 52.88 |  64.1 |
|         case        | 51.45 |  61.6 |
|      pool table     | 90.97 | 95.81 |
|        pillow       | 56.61 | 66.73 |
|     screen door     | 57.74 |  59.5 |
|       stairway      | 31.69 | 55.68 |
|        river        | 14.55 | 24.75 |
|        bridge       | 53.34 | 61.19 |
|       bookcase      | 37.96 | 61.59 |
|        blind        | 37.42 |  39.6 |
|     coffee table    | 66.06 | 76.68 |
|        toilet       | 85.25 | 90.22 |
|        flower       | 40.17 | 55.49 |
|         book        |  46.2 |  67.7 |
|         hill        |  7.66 | 13.42 |
|        bench        | 53.66 | 63.12 |
|      countertop     |  59.0 | 64.79 |
|        stove        | 73.68 | 89.81 |
|         palm        | 46.84 | 65.86 |
|    kitchen island   | 34.76 |  43.6 |
|       computer      | 76.54 | 84.15 |
|     swivel chair    | 44.78 | 55.34 |
|         boat        |  73.5 | 84.39 |
|         bar         | 20.72 | 24.37 |
|    arcade machine   | 74.63 | 79.93 |
|        hovel        |  7.1  |  7.45 |
|         bus         | 90.11 | 94.66 |
|        towel        | 64.01 | 76.11 |
|        light        | 52.47 | 65.79 |
|        truck        | 40.82 | 56.97 |
|        tower        | 27.28 | 44.95 |
|      chandelier     | 68.24 | 84.68 |
|        awning       | 33.45 | 42.91 |
|     streetlight     | 35.01 | 47.01 |
|        booth        | 42.82 | 57.33 |
| television receiver | 68.41 | 89.15 |
|       airplane      | 67.41 | 78.17 |
|      dirt track     |  6.23 |  11.0 |
|       apparel       | 30.79 | 47.11 |
|         pole        | 26.57 | 36.03 |
|         land        |  1.89 |  2.41 |
|      bannister      | 11.35 | 14.89 |
|      escalator      | 20.78 | 21.65 |
|       ottoman       | 49.46 | 71.02 |
|        bottle       | 22.57 | 29.59 |
|        buffet       | 56.84 | 62.11 |
|        poster       | 38.46 | 53.64 |
|        stage        | 10.59 | 19.33 |
|         van         | 42.13 | 55.83 |
|         ship        |  8.66 |  9.05 |
|       fountain      | 24.13 | 24.43 |
|    conveyer belt    | 67.18 |  88.7 |
|        canopy       | 29.33 | 44.99 |
|        washer       | 68.07 | 70.91 |
|      plaything      | 31.96 | 39.52 |
|    swimming pool    | 56.43 | 85.69 |
|        stool        | 41.53 | 53.75 |
|        barrel       | 17.08 | 52.24 |
|        basket       | 33.82 | 53.49 |
|      waterfall      | 46.71 | 53.33 |
|         tent        | 64.43 | 96.94 |
|         bag         | 18.44 | 24.52 |
|       minibike      |  72.3 | 85.88 |
|        cradle       | 85.13 | 95.77 |
|         oven        | 18.22 | 20.09 |
|         ball        | 49.57 | 73.24 |
|         food        | 45.21 | 47.41 |
|         step        | 17.25 | 19.82 |
|         tank        | 51.43 | 57.32 |
|      trade name     | 23.45 | 26.35 |
|      microwave      | 85.47 | 93.39 |
|         pot         | 50.68 | 62.88 |
|        animal       | 62.78 | 65.59 |
|       bicycle       | 58.24 | 79.83 |
|         lake        |  32.4 | 65.86 |
|      dishwasher     | 61.53 | 63.49 |
|        screen       | 75.74 | 89.75 |
|       blanket       | 20.48 | 25.23 |
|      sculpture      | 42.85 | 85.79 |
|         hood        | 60.51 | 73.21 |
|        sconce       | 38.59 | 50.27 |
|         vase        | 43.75 | 58.63 |
|    traffic light    | 40.57 | 59.99 |
|         tray        | 14.93 | 27.49 |
|        ashcan       | 35.46 | 49.17 |
|         fan         | 59.41 | 74.36 |
|         pier        | 35.45 | 45.25 |
|      crt screen     |  7.8  | 11.59 |
|        plate        | 54.75 | 75.99 |
|       monitor       | 22.73 | 25.42 |
|    bulletin board   | 44.42 | 49.98 |
|        shower       |  3.84 | 11.71 |
|       radiator      | 58.87 | 64.77 |
|        glass        |  18.7 | 21.96 |
|        clock        | 31.87 | 40.09 |
|         flag        | 41.62 | 51.57 |
+---------------------+-------+-------+
2024/01/06 19:30:24 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4900  coco/bbox_mAP_50: 0.6740  coco/bbox_mAP_75: 0.5370  coco/bbox_mAP_s: 0.3310  coco/bbox_mAP_m: 0.5430  coco/bbox_mAP_l: 0.6330  coco/segm_mAP: 0.3270  coco/segm_mAP_50: 0.5900  coco/segm_mAP_75: 0.3210  coco/segm_mAP_s: 0.1820  coco/segm_mAP_m: 0.3690  coco/segm_mAP_l: 0.5020  Bleu_1: 0.7483  Bleu_2: 0.5797  Bleu_3: 0.4340  Bleu_4: 0.3218  METEOR: 0.2611  ROUGE_L: 0.5458  CIDEr: 1.0354  SPICE: 0.1931  aAcc: 83.4500  mIoU: 49.1900  mAcc: 61.4200  visual-grounding/miou: 0.7794  visual-grounding/acc: 0.8456  data_time: 0.0121  time: 1.8940
2024/01/06 19:43:17 - mmengine - INFO - Iter(train) [260500/640000]  base_lr: 1.2879e-04 lr: 1.2879e-05  eta: 6 days, 17:56:56  time: 1.5275  data_time: 0.0201  memory: 34661  grad_norm: 3.1994  loss: 1.3089  caption_loss_cls: 2.2394  detection_loss_cls: 0.0336  detection_loss_reg: 0.3413  semantic_segmentation_loss_cls: 0.0084  grounding_loss_reg: 2.6703  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3330  instance_segmentation_loss_poly: 0.9006
2024/01/06 19:55:32 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 19:55:32 - mmengine - INFO - Iter(train) [261000/640000]  base_lr: 1.2856e-04 lr: 1.2856e-05  eta: 6 days, 17:38:46  time: 1.5233  data_time: 0.0200  memory: 25570  grad_norm: 3.1629  loss: 1.2986  caption_loss_cls: 2.2322  detection_loss_cls: 0.0336  detection_loss_reg: 0.3416  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6612  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3325  instance_segmentation_loss_poly: 0.8986
2024/01/06 20:08:23 - mmengine - INFO - Iter(train) [261500/640000]  base_lr: 1.2832e-04 lr: 1.2832e-05  eta: 6 days, 17:26:22  time: 1.5270  data_time: 0.0200  memory: 25570  grad_norm: 3.1568  loss: 1.2859  caption_loss_cls: 2.2362  detection_loss_cls: 0.0336  detection_loss_reg: 0.3419  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6582  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3324  instance_segmentation_loss_poly: 0.8970
2024/01/06 20:21:06 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 20:21:06 - mmengine - INFO - Iter(train) [262000/640000]  base_lr: 1.2809e-04 lr: 1.2809e-05  eta: 6 days, 17:12:50  time: 1.5280  data_time: 0.0199  memory: 25570  grad_norm: 3.1582  loss: 1.2862  caption_loss_cls: 2.2337  detection_loss_cls: 0.0335  detection_loss_reg: 0.3413  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6591  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3336  instance_segmentation_loss_poly: 0.8997
2024/01/06 20:21:06 - mmengine - INFO - Saving checkpoint at 262000 iterations
2024/01/06 20:34:03 - mmengine - INFO - Iter(train) [262500/640000]  base_lr: 1.2785e-04 lr: 1.2785e-05  eta: 6 days, 17:01:24  time: 1.5229  data_time: 0.0199  memory: 25570  grad_norm: 3.1591  loss: 1.2876  caption_loss_cls: 2.2381  detection_loss_cls: 0.0334  detection_loss_reg: 0.3415  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6622  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3344  instance_segmentation_loss_poly: 0.9020
2024/01/06 20:46:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 20:46:31 - mmengine - INFO - Iter(train) [263000/640000]  base_lr: 1.2762e-04 lr: 1.2762e-05  eta: 6 days, 16:45:34  time: 1.5147  data_time: 0.0198  memory: 25570  grad_norm: 3.1181  loss: 1.2956  caption_loss_cls: 2.2321  detection_loss_cls: 0.0336  detection_loss_reg: 0.3421  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6625  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3346  instance_segmentation_loss_poly: 0.9027
2024/01/06 20:59:06 - mmengine - INFO - Iter(train) [263500/640000]  base_lr: 1.2738e-04 lr: 1.2738e-05  eta: 6 days, 16:30:56  time: 1.5151  data_time: 0.0199  memory: 25570  grad_norm: 3.0708  loss: 1.2982  caption_loss_cls: 2.2268  detection_loss_cls: 0.0334  detection_loss_reg: 0.3422  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6633  instance_segmentation_loss_cls: 0.0327  instance_segmentation_loss_reg: 0.3363  instance_segmentation_loss_poly: 0.9079
2024/01/06 21:11:37 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 21:11:37 - mmengine - INFO - Iter(train) [264000/640000]  base_lr: 1.2714e-04 lr: 1.2714e-05  eta: 6 days, 16:15:32  time: 1.5182  data_time: 0.0199  memory: 25570  grad_norm: 3.0605  loss: 1.2967  caption_loss_cls: 2.2263  detection_loss_cls: 0.0335  detection_loss_reg: 0.3430  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6620  instance_segmentation_loss_cls: 0.0327  instance_segmentation_loss_reg: 0.3374  instance_segmentation_loss_poly: 0.9096
2024/01/06 21:11:37 - mmengine - INFO - Saving checkpoint at 264000 iterations
2024/01/06 21:24:49 - mmengine - INFO - Iter(train) [264500/640000]  base_lr: 1.2691e-04 lr: 1.2691e-05  eta: 6 days, 16:06:22  time: 1.5224  data_time: 0.0266  memory: 25570  grad_norm: 3.0634  loss: 1.3102  caption_loss_cls: 2.2239  detection_loss_cls: 0.0337  detection_loss_reg: 0.3443  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6590  instance_segmentation_loss_cls: 0.0329  instance_segmentation_loss_reg: 0.3394  instance_segmentation_loss_poly: 0.9117
2024/01/06 21:37:38 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 21:37:38 - mmengine - INFO - Iter(train) [265000/640000]  base_lr: 1.2667e-04 lr: 1.2667e-05  eta: 6 days, 15:53:49  time: 1.5310  data_time: 0.0267  memory: 25570  grad_norm: 3.0678  loss: 1.3132  caption_loss_cls: 2.2189  detection_loss_cls: 0.0336  detection_loss_reg: 0.3443  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6574  instance_segmentation_loss_cls: 0.0328  instance_segmentation_loss_reg: 0.3389  instance_segmentation_loss_poly: 0.9109
2024/01/06 21:50:24 - mmengine - INFO - Iter(train) [265500/640000]  base_lr: 1.2644e-04 lr: 1.2644e-05  eta: 6 days, 15:40:44  time: 1.5298  data_time: 0.0268  memory: 25570  grad_norm: 3.0708  loss: 1.3164  caption_loss_cls: 2.2172  detection_loss_cls: 0.0335  detection_loss_reg: 0.3439  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6561  instance_segmentation_loss_cls: 0.0328  instance_segmentation_loss_reg: 0.3393  instance_segmentation_loss_poly: 0.9111
2024/01/06 22:03:15 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 22:03:15 - mmengine - INFO - Iter(train) [266000/640000]  base_lr: 1.2620e-04 lr: 1.2620e-05  eta: 6 days, 15:28:22  time: 1.5316  data_time: 0.0269  memory: 25570  grad_norm: 3.0550  loss: 1.3131  caption_loss_cls: 2.2130  detection_loss_cls: 0.0335  detection_loss_reg: 0.3434  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6561  instance_segmentation_loss_cls: 0.0329  instance_segmentation_loss_reg: 0.3415  instance_segmentation_loss_poly: 0.9162
2024/01/06 22:03:15 - mmengine - INFO - Saving checkpoint at 266000 iterations
2024/01/06 22:16:38 - mmengine - INFO - Iter(train) [266500/640000]  base_lr: 1.2596e-04 lr: 1.2596e-05  eta: 6 days, 15:20:36  time: 1.5384  data_time: 0.0268  memory: 25570  grad_norm: 3.0498  loss: 1.3006  caption_loss_cls: 2.2173  detection_loss_cls: 0.0337  detection_loss_reg: 0.3451  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6549  instance_segmentation_loss_cls: 0.0329  instance_segmentation_loss_reg: 0.3408  instance_segmentation_loss_poly: 0.9139
2024/01/06 22:29:15 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 22:29:15 - mmengine - INFO - Iter(train) [267000/640000]  base_lr: 1.2572e-04 lr: 1.2572e-05  eta: 6 days, 15:06:16  time: 1.5406  data_time: 0.0269  memory: 25570  grad_norm: 3.0373  loss: 1.3054  caption_loss_cls: 2.2124  detection_loss_cls: 0.0337  detection_loss_reg: 0.3449  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6530  instance_segmentation_loss_cls: 0.0327  instance_segmentation_loss_reg: 0.3400  instance_segmentation_loss_poly: 0.9124
2024/01/06 22:42:16 - mmengine - INFO - Iter(train) [267500/640000]  base_lr: 1.2549e-04 lr: 1.2549e-05  eta: 6 days, 14:55:09  time: 1.5468  data_time: 0.0270  memory: 25570  grad_norm: 3.0181  loss: 1.2992  caption_loss_cls: 2.2076  detection_loss_cls: 0.0336  detection_loss_reg: 0.3445  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6544  instance_segmentation_loss_cls: 0.0329  instance_segmentation_loss_reg: 0.3415  instance_segmentation_loss_poly: 0.9164
2024/01/06 22:54:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 22:54:50 - mmengine - INFO - Iter(train) [268000/640000]  base_lr: 1.2525e-04 lr: 1.2525e-05  eta: 6 days, 14:40:27  time: 1.5478  data_time: 0.0269  memory: 25570  grad_norm: 3.0027  loss: 1.2936  caption_loss_cls: 2.2132  detection_loss_cls: 0.0337  detection_loss_reg: 0.3448  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6535  instance_segmentation_loss_cls: 0.0328  instance_segmentation_loss_reg: 0.3418  instance_segmentation_loss_poly: 0.9173
2024/01/06 22:54:50 - mmengine - INFO - Saving checkpoint at 268000 iterations
2024/01/06 23:08:13 - mmengine - INFO - Iter(train) [268500/640000]  base_lr: 1.2501e-04 lr: 1.2501e-05  eta: 6 days, 14:32:19  time: 1.5505  data_time: 0.0269  memory: 25570  grad_norm: 2.9632  loss: 1.2812  caption_loss_cls: 2.2185  detection_loss_cls: 0.0338  detection_loss_reg: 0.3463  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6548  instance_segmentation_loss_cls: 0.0328  instance_segmentation_loss_reg: 0.3413  instance_segmentation_loss_poly: 0.9182
2024/01/06 23:20:59 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 23:20:59 - mmengine - INFO - Iter(train) [269000/640000]  base_lr: 1.2477e-04 lr: 1.2477e-05  eta: 6 days, 14:19:09  time: 1.5496  data_time: 0.0269  memory: 25570  grad_norm: 2.9110  loss: 1.2874  caption_loss_cls: 2.2221  detection_loss_cls: 0.0337  detection_loss_reg: 0.3453  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6511  instance_segmentation_loss_cls: 0.0328  instance_segmentation_loss_reg: 0.3411  instance_segmentation_loss_poly: 0.9176
2024/01/06 23:33:39 - mmengine - INFO - Iter(train) [269500/640000]  base_lr: 1.2454e-04 lr: 1.2454e-05  eta: 6 days, 14:05:20  time: 1.5483  data_time: 0.0269  memory: 25570  grad_norm: 2.9333  loss: 1.3003  caption_loss_cls: 2.2141  detection_loss_cls: 0.0338  detection_loss_reg: 0.3472  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6536  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3389  instance_segmentation_loss_poly: 0.9130
2024/01/06 23:46:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/06 23:46:52 - mmengine - INFO - Iter(train) [270000/640000]  base_lr: 1.2430e-04 lr: 1.2430e-05  eta: 6 days, 13:55:43  time: 1.5539  data_time: 0.0269  memory: 25570  grad_norm: 2.9250  loss: 1.3023  caption_loss_cls: 2.2178  detection_loss_cls: 0.0336  detection_loss_reg: 0.3457  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6500  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3385  instance_segmentation_loss_poly: 0.9114
2024/01/06 23:46:52 - mmengine - INFO - Saving checkpoint at 270000 iterations
2024/01/07 00:00:05 - mmengine - INFO - Iter(train) [270500/640000]  base_lr: 1.2406e-04 lr: 1.2406e-05  eta: 6 days, 13:46:00  time: 1.5512  data_time: 0.0268  memory: 25570  grad_norm: 2.9285  loss: 1.3045  caption_loss_cls: 2.2147  detection_loss_cls: 0.0336  detection_loss_reg: 0.3453  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.6471  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3392  instance_segmentation_loss_poly: 0.9142
2024/01/07 00:13:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/07 00:13:12 - mmengine - INFO - Iter(train) [271000/640000]  base_lr: 1.2382e-04 lr: 1.2382e-05  eta: 6 days, 13:35:30  time: 1.5587  data_time: 0.0269  memory: 25570  grad_norm: 2.8720  loss: 1.2949  caption_loss_cls: 2.2143  detection_loss_cls: 0.0336  detection_loss_reg: 0.3447  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.6484  instance_segmentation_loss_cls: 0.0327  instance_segmentation_loss_reg: 0.3396  instance_segmentation_loss_poly: 0.9159
2024/01/07 00:26:07 - mmengine - INFO - Iter(train) [271500/640000]  base_lr: 1.2358e-04 lr: 1.2358e-05  eta: 6 days, 13:23:23  time: 1.5573  data_time: 0.0268  memory: 25570  grad_norm: 2.8665  loss: 1.2762  caption_loss_cls: 2.2134  detection_loss_cls: 0.0335  detection_loss_reg: 0.3464  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.6485  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3391  instance_segmentation_loss_poly: 0.9141
2024/01/07 00:39:05 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/07 00:39:05 - mmengine - INFO - Iter(train) [272000/640000]  base_lr: 1.2335e-04 lr: 1.2335e-05  eta: 6 days, 13:11:39  time: 1.5632  data_time: 0.0269  memory: 25570  grad_norm: 2.8927  loss: 1.2746  caption_loss_cls: 2.2198  detection_loss_cls: 0.0335  detection_loss_reg: 0.3466  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.6480  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3390  instance_segmentation_loss_poly: 0.9140
2024/01/07 00:39:05 - mmengine - INFO - Saving checkpoint at 272000 iterations
2024/01/07 00:52:25 - mmengine - INFO - Iter(train) [272500/640000]  base_lr: 1.2311e-04 lr: 1.2311e-05  eta: 6 days, 13:02:32  time: 1.5624  data_time: 0.0269  memory: 25570  grad_norm: 2.9424  loss: 1.2820  caption_loss_cls: 2.2227  detection_loss_cls: 0.0335  detection_loss_reg: 0.3471  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.6491  instance_segmentation_loss_cls: 0.0327  instance_segmentation_loss_reg: 0.3384  instance_segmentation_loss_poly: 0.9139
2024/01/07 01:04:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/07 01:04:44 - mmengine - INFO - Iter(train) [273000/640000]  base_lr: 1.2287e-04 lr: 1.2287e-05  eta: 6 days, 12:46:06  time: 1.5558  data_time: 0.0269  memory: 25570  grad_norm: 2.9867  loss: 1.2906  caption_loss_cls: 2.2200  detection_loss_cls: 0.0337  detection_loss_reg: 0.3492  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.6452  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3391  instance_segmentation_loss_poly: 0.9140
2024/01/07 01:17:22 - mmengine - INFO - Iter(train) [273500/640000]  base_lr: 1.2263e-04 lr: 1.2263e-05  eta: 6 days, 12:31:56  time: 1.5551  data_time: 0.0269  memory: 25570  grad_norm: 3.0746  loss: 1.2899  caption_loss_cls: 2.2198  detection_loss_cls: 0.0340  detection_loss_reg: 0.3510  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.6434  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3390  instance_segmentation_loss_poly: 0.9135
2024/01/07 01:30:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/07 01:30:03 - mmengine - INFO - Iter(train) [274000/640000]  base_lr: 1.2239e-04 lr: 1.2239e-05  eta: 6 days, 12:18:14  time: 1.5472  data_time: 0.0268  memory: 25570  grad_norm: 3.1198  loss: 1.2890  caption_loss_cls: 2.2176  detection_loss_cls: 0.0340  detection_loss_reg: 0.3510  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6380  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3383  instance_segmentation_loss_poly: 0.9127
2024/01/07 01:30:03 - mmengine - INFO - Saving checkpoint at 274000 iterations
2024/01/07 01:42:59 - mmengine - INFO - Iter(train) [274500/640000]  base_lr: 1.2215e-04 lr: 1.2215e-05  eta: 6 days, 12:06:12  time: 1.5429  data_time: 0.0268  memory: 25570  grad_norm: 3.1160  loss: 1.2845  caption_loss_cls: 2.2201  detection_loss_cls: 0.0342  detection_loss_reg: 0.3522  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6346  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3379  instance_segmentation_loss_poly: 0.9116
2024/01/07 01:55:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/07 01:55:56 - mmengine - INFO - Iter(train) [275000/640000]  base_lr: 1.2191e-04 lr: 1.2191e-05  eta: 6 days, 11:54:22  time: 1.5404  data_time: 0.0268  memory: 25570  grad_norm: 3.1328  loss: 1.2854  caption_loss_cls: 2.2181  detection_loss_cls: 0.0338  detection_loss_reg: 0.3506  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6282  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3378  instance_segmentation_loss_poly: 0.9103
2024/01/07 02:08:38 - mmengine - INFO - Iter(train) [275500/640000]  base_lr: 1.2167e-04 lr: 1.2167e-05  eta: 6 days, 11:40:43  time: 1.5372  data_time: 0.0268  memory: 25570  grad_norm: 3.2070  loss: 1.2985  caption_loss_cls: 2.2196  detection_loss_cls: 0.0337  detection_loss_reg: 0.3495  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6252  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3372  instance_segmentation_loss_poly: 0.9084
2024/01/07 02:21:24 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240106_022733
2024/01/07 02:21:24 - mmengine - INFO - Iter(train) [276000/640000]  base_lr: 1.2143e-04 lr: 1.2143e-05  eta: 6 days, 11:27:34  time: 1.5343  data_time: 0.0267  memory: 25570  grad_norm: 3.1874  loss: 1.2915  caption_loss_cls: 2.2214  detection_loss_cls: 0.0337  detection_loss_reg: 0.3503  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6229  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3366  instance_segmentation_loss_poly: 0.9058
2024/01/07 02:21:24 - mmengine - INFO - Saving checkpoint at 276000 iterations
2024/01/07 02:45:17 - mmengine - INFO - Iter(train) [276500/640000]  base_lr: 1.2119e-04 lr: 1.2119e-05  eta: 6 days, 6:55:58  time: 1.5213  data_time: 0.0192  memory: 25565  grad_norm: 3.2024  loss: 1.2812  caption_loss_cls: 2.2178  detection_loss_cls: 0.0336  detection_loss_reg: 0.3496  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6199  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3370  instance_segmentation_loss_poly: 0.9078
2024/01/07 02:57:35 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 02:57:35 - mmengine - INFO - Iter(train) [277000/640000]  base_lr: 1.2095e-04 lr: 1.2095e-05  eta: 6 days, 5:40:38  time: 1.5208  data_time: 0.0190  memory: 25565  grad_norm: 3.2282  loss: 1.2806  caption_loss_cls: 2.2145  detection_loss_cls: 0.0337  detection_loss_reg: 0.3512  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6144  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3376  instance_segmentation_loss_poly: 0.9086
2024/01/07 03:10:08 - mmengine - INFO - Iter(train) [277500/640000]  base_lr: 1.2071e-04 lr: 1.2071e-05  eta: 6 days, 6:12:11  time: 1.5197  data_time: 0.0188  memory: 25565  grad_norm: 3.1800  loss: 1.2780  caption_loss_cls: 2.2189  detection_loss_cls: 0.0336  detection_loss_reg: 0.3508  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6134  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3369  instance_segmentation_loss_poly: 0.9058
2024/01/07 03:23:00 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 03:23:00 - mmengine - INFO - Iter(train) [278000/640000]  base_lr: 1.2047e-04 lr: 1.2047e-05  eta: 6 days, 7:18:52  time: 1.5224  data_time: 0.0186  memory: 25565  grad_norm: 3.1687  loss: 1.2773  caption_loss_cls: 2.2158  detection_loss_cls: 0.0336  detection_loss_reg: 0.3509  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6077  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3357  instance_segmentation_loss_poly: 0.9021
2024/01/07 03:23:00 - mmengine - INFO - Saving checkpoint at 278000 iterations
2024/01/07 03:36:06 - mmengine - INFO - Iter(train) [278500/640000]  base_lr: 1.2023e-04 lr: 1.2023e-05  eta: 6 days, 8:25:39  time: 1.5249  data_time: 0.0178  memory: 25565  grad_norm: 3.1766  loss: 1.2933  caption_loss_cls: 2.2193  detection_loss_cls: 0.0337  detection_loss_reg: 0.3521  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6029  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3367  instance_segmentation_loss_poly: 0.9050
2024/01/07 03:48:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 03:48:56 - mmengine - INFO - Iter(train) [279000/640000]  base_lr: 1.1999e-04 lr: 1.1999e-05  eta: 6 days, 8:34:20  time: 1.5229  data_time: 0.0175  memory: 25565  grad_norm: 3.2463  loss: 1.3055  caption_loss_cls: 2.2263  detection_loss_cls: 0.0337  detection_loss_reg: 0.3510  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.6002  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3385  instance_segmentation_loss_poly: 0.9104
2024/01/07 04:01:42 - mmengine - INFO - Iter(train) [279500/640000]  base_lr: 1.1975e-04 lr: 1.1975e-05  eta: 6 days, 8:30:01  time: 1.5240  data_time: 0.0172  memory: 25565  grad_norm: 3.2503  loss: 1.3046  caption_loss_cls: 2.2326  detection_loss_cls: 0.0336  detection_loss_reg: 0.3494  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.5931  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3375  instance_segmentation_loss_poly: 0.9068
2024/01/07 04:14:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 04:14:44 - mmengine - INFO - Iter(train) [280000/640000]  base_lr: 1.1951e-04 lr: 1.1951e-05  eta: 6 days, 8:47:28  time: 1.5279  data_time: 0.0170  memory: 25565  grad_norm: 3.2101  loss: 1.3064  caption_loss_cls: 2.2304  detection_loss_cls: 0.0334  detection_loss_reg: 0.3481  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.5939  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3384  instance_segmentation_loss_poly: 0.9088
2024/01/07 04:14:44 - mmengine - INFO - Saving checkpoint at 280000 iterations
2024/01/07 04:26:15 - mmengine - INFO - Evaluating bbox...
2024/01/07 04:27:13 - mmengine - INFO - bbox_mAP_copypaste: 0.499 0.682 0.548 0.350 0.550 0.640
2024/01/07 04:27:13 - mmengine - INFO - Evaluating segm...
2024/01/07 04:28:25 - mmengine - INFO - segm_mAP_copypaste: 0.331 0.592 0.325 0.196 0.374 0.506
2024/01/07 04:30:36 - mmengine - INFO - Evaluating bbox...
2024/01/07 04:31:34 - mmengine - INFO - bbox_mAP_copypaste: 0.499 0.680 0.548 0.347 0.550 0.640
2024/01/07 04:37:44 - mmengine - INFO - per class results:
2024/01/07 04:37:44 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 78.73 | 87.84 |
|       building      | 80.56 | 88.16 |
|         sky         | 93.08 | 97.96 |
|        floor        | 82.77 | 90.18 |
|         tree        | 74.22 | 86.75 |
|       ceiling       | 84.54 | 93.55 |
|         road        | 83.61 |  91.9 |
|         bed         |  89.7 | 94.73 |
|      windowpane     | 64.17 | 77.78 |
|        grass        | 67.31 | 89.48 |
|       cabinet       | 60.92 | 71.66 |
|       sidewalk      | 67.09 | 75.53 |
|        person       | 81.12 | 90.98 |
|        earth        | 37.14 | 49.04 |
|         door        | 51.16 | 74.82 |
|        table        | 64.37 | 77.79 |
|       mountain      | 55.14 | 68.69 |
|        plant        | 52.32 | 63.99 |
|       curtain       | 75.32 | 88.17 |
|        chair        | 61.32 | 75.91 |
|         car         | 84.77 | 90.94 |
|        water        | 57.74 |  66.0 |
|       painting      | 72.35 | 87.29 |
|         sofa        | 69.17 |  78.5 |
|        shelf        | 47.26 | 68.89 |
|        house        | 43.14 | 78.13 |
|         sea         | 69.82 | 81.48 |
|        mirror       | 67.73 | 75.73 |
|         rug         | 69.41 | 84.82 |
|        field        | 26.45 | 35.04 |
|       armchair      | 50.48 | 73.34 |
|         seat        | 65.31 |  79.2 |
|        fence        | 45.76 | 63.38 |
|         desk        | 53.49 | 69.29 |
|         rock        | 46.73 | 80.66 |
|       wardrobe      | 46.69 | 75.07 |
|         lamp        |  63.2 | 76.27 |
|       bathtub       | 76.88 | 90.37 |
|       railing       | 38.83 | 55.54 |
|       cushion       | 55.94 | 68.92 |
|         base        | 28.24 | 39.56 |
|         box         | 27.02 | 34.05 |
|        column       | 48.61 | 59.89 |
|      signboard      | 36.91 | 49.69 |
|   chest of drawers  | 38.62 | 69.63 |
|       counter       | 32.09 | 50.78 |
|         sand        | 45.89 | 60.33 |
|         sink        | 74.84 | 86.97 |
|      skyscraper     | 50.89 | 69.06 |
|      fireplace      | 72.99 |  92.6 |
|     refrigerator    | 74.14 | 88.23 |
|      grandstand     | 45.06 | 65.99 |
|         path        | 22.72 | 35.97 |
|        stairs       |  34.0 | 41.04 |
|        runway       | 57.82 | 69.04 |
|         case        | 48.63 | 59.25 |
|      pool table     | 90.96 | 96.11 |
|        pillow       | 61.04 | 77.53 |
|     screen door     | 46.08 | 46.65 |
|       stairway      | 34.73 | 59.46 |
|        river        | 14.86 | 43.57 |
|        bridge       | 56.92 | 69.38 |
|       bookcase      | 37.36 | 54.54 |
|        blind        | 41.15 | 45.69 |
|     coffee table    | 60.76 | 86.07 |
|        toilet       | 85.16 |  90.6 |
|        flower       | 36.41 | 49.56 |
|         book        | 46.89 | 63.09 |
|         hill        | 10.79 | 19.59 |
|        bench        | 62.64 | 74.58 |
|      countertop     | 58.63 | 72.48 |
|        stove        | 80.91 | 86.17 |
|         palm        | 50.91 | 73.13 |
|    kitchen island   | 46.82 | 76.31 |
|       computer      | 77.21 | 90.54 |
|     swivel chair    | 42.18 | 52.57 |
|         boat        | 69.07 | 86.33 |
|         bar         | 38.54 | 47.83 |
|    arcade machine   | 53.61 | 58.66 |
|        hovel        |  22.4 | 84.56 |
|         bus         | 90.21 | 95.78 |
|        towel        | 64.99 | 77.29 |
|        light        | 45.01 | 51.98 |
|        truck        | 46.25 | 59.73 |
|        tower        | 33.48 | 67.79 |
|      chandelier     | 66.39 | 82.91 |
|        awning       | 34.97 | 51.46 |
|     streetlight     | 33.49 | 40.56 |
|        booth        | 51.98 | 67.22 |
| television receiver | 69.08 | 83.48 |
|       airplane      |  66.0 | 84.37 |
|      dirt track     |  6.16 | 14.13 |
|       apparel       | 23.47 | 37.24 |
|         pole        | 29.14 |  42.6 |
|         land        |  3.73 |  5.86 |
|      bannister      | 17.16 |  22.3 |
|      escalator      | 26.42 | 27.46 |
|       ottoman       | 44.54 | 68.91 |
|        bottle       | 28.27 | 35.64 |
|        buffet       | 57.47 | 68.68 |
|        poster       |  31.7 | 39.83 |
|        stage        |  9.27 | 17.17 |
|         van         | 48.04 | 61.57 |
|         ship        | 22.65 | 24.36 |
|       fountain      | 26.65 | 27.12 |
|    conveyer belt    | 75.85 | 92.15 |
|        canopy       | 28.93 | 41.98 |
|        washer       | 65.42 | 68.29 |
|      plaything      | 34.18 |  51.3 |
|    swimming pool    | 59.74 | 65.85 |
|        stool        | 46.51 | 60.44 |
|        barrel       | 27.33 | 65.04 |
|        basket       | 38.12 | 50.12 |
|      waterfall      | 63.09 | 66.01 |
|         tent        | 70.77 | 96.42 |
|         bag         | 20.42 | 27.66 |
|       minibike      | 70.86 | 88.24 |
|        cradle       | 77.99 | 96.34 |
|         oven        | 51.15 | 61.87 |
|         ball        | 46.37 | 67.57 |
|         food        | 54.88 | 61.69 |
|         step        |  8.55 | 10.83 |
|         tank        |  52.7 | 65.15 |
|      trade name     | 29.76 | 40.93 |
|      microwave      | 86.25 | 93.63 |
|         pot         | 48.88 | 57.71 |
|        animal       | 64.68 | 67.64 |
|       bicycle       | 60.71 |  75.4 |
|         lake        | 57.76 | 63.06 |
|      dishwasher     | 62.91 | 65.44 |
|        screen       | 73.46 | 90.41 |
|       blanket       | 18.49 | 21.81 |
|      sculpture      | 55.37 | 83.39 |
|         hood        | 55.07 | 68.22 |
|        sconce       | 43.64 | 58.58 |
|         vase        | 41.82 |  52.1 |
|    traffic light    |  38.9 | 66.56 |
|         tray        | 13.72 | 24.65 |
|        ashcan       | 37.53 | 58.78 |
|         fan         | 61.48 | 77.25 |
|         pier        | 44.34 | 61.22 |
|      crt screen     |  1.52 |  2.76 |
|        plate        | 57.68 |  78.1 |
|       monitor       | 29.06 | 36.91 |
|    bulletin board   | 43.73 | 57.43 |
|        shower       |  0.17 |  0.27 |
|       radiator      | 59.39 | 69.18 |
|        glass        |  17.4 | 19.21 |
|        clock        | 33.45 | 47.63 |
|         flag        | 51.01 | 59.36 |
+---------------------+-------+-------+
2024/01/07 04:37:58 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4990  coco/bbox_mAP_50: 0.6800  coco/bbox_mAP_75: 0.5480  coco/bbox_mAP_s: 0.3470  coco/bbox_mAP_m: 0.5500  coco/bbox_mAP_l: 0.6400  coco/segm_mAP: 0.3310  coco/segm_mAP_50: 0.5920  coco/segm_mAP_75: 0.3250  coco/segm_mAP_s: 0.1960  coco/segm_mAP_m: 0.3740  coco/segm_mAP_l: 0.5060  Bleu_1: 0.7423  Bleu_2: 0.5724  Bleu_3: 0.4283  Bleu_4: 0.3168  METEOR: 0.2637  ROUGE_L: 0.5452  CIDEr: 1.0350  SPICE: 0.1979  aAcc: 83.2900  mIoU: 50.5200  mAcc: 63.8700  visual-grounding/miou: 0.8000  visual-grounding/acc: 0.8672  data_time: 0.0285  time: 1.9196
2024/01/07 04:50:19 - mmengine - INFO - Iter(train) [280500/640000]  base_lr: 1.1927e-04 lr: 1.1927e-05  eta: 6 days, 8:07:42  time: 1.5270  data_time: 0.0178  memory: 34658  grad_norm: 3.1785  loss: 1.3197  caption_loss_cls: 2.2315  detection_loss_cls: 0.0334  detection_loss_reg: 0.3481  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.5929  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3386  instance_segmentation_loss_poly: 0.9087
2024/01/07 05:03:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 05:03:11 - mmengine - INFO - Iter(train) [281000/640000]  base_lr: 1.1903e-04 lr: 1.1903e-05  eta: 6 days, 8:06:51  time: 1.5356  data_time: 0.0179  memory: 25565  grad_norm: 3.0985  loss: 1.2900  caption_loss_cls: 2.2339  detection_loss_cls: 0.0333  detection_loss_reg: 0.3491  semantic_segmentation_loss_cls: 0.0083  grounding_loss_reg: 2.5922  instance_segmentation_loss_cls: 0.0327  instance_segmentation_loss_reg: 0.3398  instance_segmentation_loss_poly: 0.9102
2024/01/07 05:16:40 - mmengine - INFO - Iter(train) [281500/640000]  base_lr: 1.1879e-04 lr: 1.1879e-05  eta: 6 days, 8:43:47  time: 1.5494  data_time: 0.0183  memory: 25565  grad_norm: 3.0539  loss: 1.2846  caption_loss_cls: 2.2339  detection_loss_cls: 0.0331  detection_loss_reg: 0.3475  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5904  instance_segmentation_loss_cls: 0.0326  instance_segmentation_loss_reg: 0.3393  instance_segmentation_loss_poly: 0.9107
2024/01/07 05:29:07 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 05:29:07 - mmengine - INFO - Iter(train) [282000/640000]  base_lr: 1.1855e-04 lr: 1.1855e-05  eta: 6 days, 8:10:35  time: 1.5430  data_time: 0.0183  memory: 25565  grad_norm: 3.0269  loss: 1.2837  caption_loss_cls: 2.2288  detection_loss_cls: 0.0331  detection_loss_reg: 0.3474  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5893  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3384  instance_segmentation_loss_poly: 0.9083
2024/01/07 05:29:07 - mmengine - INFO - Saving checkpoint at 282000 iterations
2024/01/07 05:42:06 - mmengine - INFO - Iter(train) [282500/640000]  base_lr: 1.1830e-04 lr: 1.1830e-05  eta: 6 days, 8:10:38  time: 1.5415  data_time: 0.0197  memory: 25565  grad_norm: 2.9665  loss: 1.2652  caption_loss_cls: 2.2210  detection_loss_cls: 0.0332  detection_loss_reg: 0.3462  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5844  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3386  instance_segmentation_loss_poly: 0.9083
2024/01/07 05:54:58 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 05:54:58 - mmengine - INFO - Iter(train) [283000/640000]  base_lr: 1.1806e-04 lr: 1.1806e-05  eta: 6 days, 8:02:39  time: 1.5420  data_time: 0.0198  memory: 25565  grad_norm: 2.8717  loss: 1.2538  caption_loss_cls: 2.2157  detection_loss_cls: 0.0333  detection_loss_reg: 0.3475  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5846  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3372  instance_segmentation_loss_poly: 0.9061
2024/01/07 06:07:17 - mmengine - INFO - Iter(train) [283500/640000]  base_lr: 1.1782e-04 lr: 1.1782e-05  eta: 6 days, 7:28:05  time: 1.5354  data_time: 0.0200  memory: 25565  grad_norm: 2.7766  loss: 1.2665  caption_loss_cls: 2.2155  detection_loss_cls: 0.0332  detection_loss_reg: 0.3478  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5826  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3370  instance_segmentation_loss_poly: 0.9064
2024/01/07 06:20:08 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 06:20:08 - mmengine - INFO - Iter(train) [284000/640000]  base_lr: 1.1758e-04 lr: 1.1758e-05  eta: 6 days, 7:19:36  time: 1.5326  data_time: 0.0201  memory: 25565  grad_norm: 2.7356  loss: 1.2586  caption_loss_cls: 2.2118  detection_loss_cls: 0.0332  detection_loss_reg: 0.3464  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5789  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3378  instance_segmentation_loss_poly: 0.9091
2024/01/07 06:20:08 - mmengine - INFO - Saving checkpoint at 284000 iterations
2024/01/07 06:33:10 - mmengine - INFO - Iter(train) [284500/640000]  base_lr: 1.1734e-04 lr: 1.1734e-05  eta: 6 days, 7:18:06  time: 1.5420  data_time: 0.0266  memory: 25565  grad_norm: 2.7200  loss: 1.2555  caption_loss_cls: 2.2044  detection_loss_cls: 0.0327  detection_loss_reg: 0.3431  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5795  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3355  instance_segmentation_loss_poly: 0.9054
2024/01/07 06:45:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 06:45:45 - mmengine - INFO - Iter(train) [285000/640000]  base_lr: 1.1710e-04 lr: 1.1710e-05  eta: 6 days, 6:58:00  time: 1.5379  data_time: 0.0266  memory: 25565  grad_norm: 2.7076  loss: 1.2699  caption_loss_cls: 2.2092  detection_loss_cls: 0.0325  detection_loss_reg: 0.3406  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5810  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3353  instance_segmentation_loss_poly: 0.9046
2024/01/07 06:58:27 - mmengine - INFO - Iter(train) [285500/640000]  base_lr: 1.1685e-04 lr: 1.1685e-05  eta: 6 days, 6:43:02  time: 1.5263  data_time: 0.0264  memory: 25565  grad_norm: 2.6601  loss: 1.2590  caption_loss_cls: 2.2117  detection_loss_cls: 0.0325  detection_loss_reg: 0.3407  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5748  instance_segmentation_loss_cls: 0.0322  instance_segmentation_loss_reg: 0.3339  instance_segmentation_loss_poly: 0.8999
2024/01/07 07:11:09 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 07:11:09 - mmengine - INFO - Iter(train) [286000/640000]  base_lr: 1.1661e-04 lr: 1.1661e-05  eta: 6 days, 6:27:59  time: 1.5300  data_time: 0.0265  memory: 25565  grad_norm: 2.6642  loss: 1.2621  caption_loss_cls: 2.2094  detection_loss_cls: 0.0324  detection_loss_reg: 0.3402  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5716  instance_segmentation_loss_cls: 0.0321  instance_segmentation_loss_reg: 0.3324  instance_segmentation_loss_poly: 0.8972
2024/01/07 07:11:09 - mmengine - INFO - Saving checkpoint at 286000 iterations
2024/01/07 07:24:27 - mmengine - INFO - Iter(train) [286500/640000]  base_lr: 1.1637e-04 lr: 1.1637e-05  eta: 6 days, 6:33:55  time: 1.5348  data_time: 0.0260  memory: 25565  grad_norm: 2.6256  loss: 1.2554  caption_loss_cls: 2.2011  detection_loss_cls: 0.0323  detection_loss_reg: 0.3410  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5691  instance_segmentation_loss_cls: 0.0321  instance_segmentation_loss_reg: 0.3327  instance_segmentation_loss_poly: 0.8990
2024/01/07 07:36:59 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 07:36:59 - mmengine - INFO - Iter(train) [287000/640000]  base_lr: 1.1613e-04 lr: 1.1613e-05  eta: 6 days, 6:13:10  time: 1.5298  data_time: 0.0259  memory: 25565  grad_norm: 2.6097  loss: 1.2567  caption_loss_cls: 2.2037  detection_loss_cls: 0.0324  detection_loss_reg: 0.3430  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5654  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3328  instance_segmentation_loss_poly: 0.8986
2024/01/07 07:49:13 - mmengine - INFO - Iter(train) [287500/640000]  base_lr: 1.1589e-04 lr: 1.1589e-05  eta: 6 days, 5:43:41  time: 1.5284  data_time: 0.0259  memory: 25565  grad_norm: 2.6146  loss: 1.2509  caption_loss_cls: 2.2041  detection_loss_cls: 0.0322  detection_loss_reg: 0.3414  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5601  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3326  instance_segmentation_loss_poly: 0.8967
2024/01/07 08:02:05 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 08:02:05 - mmengine - INFO - Iter(train) [288000/640000]  base_lr: 1.1564e-04 lr: 1.1564e-05  eta: 6 days, 5:34:33  time: 1.5287  data_time: 0.0260  memory: 25565  grad_norm: 2.6369  loss: 1.2629  caption_loss_cls: 2.2027  detection_loss_cls: 0.0322  detection_loss_reg: 0.3413  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5587  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3336  instance_segmentation_loss_poly: 0.8990
2024/01/07 08:02:05 - mmengine - INFO - Saving checkpoint at 288000 iterations
2024/01/07 08:14:40 - mmengine - INFO - Iter(train) [288500/640000]  base_lr: 1.1540e-04 lr: 1.1540e-05  eta: 6 days, 5:16:55  time: 1.5220  data_time: 0.0260  memory: 25565  grad_norm: 2.6448  loss: 1.2589  caption_loss_cls: 2.1927  detection_loss_cls: 0.0319  detection_loss_reg: 0.3389  semantic_segmentation_loss_cls: 0.0081  grounding_loss_reg: 2.5559  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3330  instance_segmentation_loss_poly: 0.8970
2024/01/07 08:27:30 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 08:27:30 - mmengine - INFO - Iter(train) [289000/640000]  base_lr: 1.1516e-04 lr: 1.1516e-05  eta: 6 days, 5:06:31  time: 1.5257  data_time: 0.0260  memory: 25565  grad_norm: 2.6057  loss: 1.2487  caption_loss_cls: 2.1890  detection_loss_cls: 0.0320  detection_loss_reg: 0.3409  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5552  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3332  instance_segmentation_loss_poly: 0.8986
2024/01/07 08:39:55 - mmengine - INFO - Iter(train) [289500/640000]  base_lr: 1.1492e-04 lr: 1.1492e-05  eta: 6 days, 4:45:08  time: 1.5214  data_time: 0.0259  memory: 25565  grad_norm: 2.6085  loss: 1.2574  caption_loss_cls: 2.1918  detection_loss_cls: 0.0320  detection_loss_reg: 0.3410  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5485  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3347  instance_segmentation_loss_poly: 0.9009
2024/01/07 08:52:23 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 08:52:23 - mmengine - INFO - Iter(train) [290000/640000]  base_lr: 1.1467e-04 lr: 1.1467e-05  eta: 6 days, 4:25:34  time: 1.5179  data_time: 0.0259  memory: 25565  grad_norm: 2.5986  loss: 1.2628  caption_loss_cls: 2.1844  detection_loss_cls: 0.0318  detection_loss_reg: 0.3392  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5471  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3356  instance_segmentation_loss_poly: 0.9040
2024/01/07 08:52:23 - mmengine - INFO - Saving checkpoint at 290000 iterations
2024/01/07 09:05:36 - mmengine - INFO - Iter(train) [290500/640000]  base_lr: 1.1443e-04 lr: 1.1443e-05  eta: 6 days, 4:24:45  time: 1.5166  data_time: 0.0259  memory: 25565  grad_norm: 2.6158  loss: 1.2693  caption_loss_cls: 2.1866  detection_loss_cls: 0.0316  detection_loss_reg: 0.3392  semantic_segmentation_loss_cls: 0.0082  grounding_loss_reg: 2.5489  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3346  instance_segmentation_loss_poly: 0.9028
2024/01/07 09:18:26 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 09:18:26 - mmengine - INFO - Iter(train) [291000/640000]  base_lr: 1.1419e-04 lr: 1.1419e-05  eta: 6 days, 4:14:13  time: 1.5211  data_time: 0.0261  memory: 25565  grad_norm: 2.6352  loss: 1.2747  caption_loss_cls: 2.1831  detection_loss_cls: 0.0318  detection_loss_reg: 0.3400  semantic_segmentation_loss_cls: 0.0081  grounding_loss_reg: 2.5471  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3348  instance_segmentation_loss_poly: 0.9016
2024/01/07 09:30:52 - mmengine - INFO - Iter(train) [291500/640000]  base_lr: 1.1394e-04 lr: 1.1394e-05  eta: 6 days, 3:54:25  time: 1.5243  data_time: 0.0261  memory: 25565  grad_norm: 2.6225  loss: 1.2668  caption_loss_cls: 2.1820  detection_loss_cls: 0.0317  detection_loss_reg: 0.3396  semantic_segmentation_loss_cls: 0.0081  grounding_loss_reg: 2.5436  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3363  instance_segmentation_loss_poly: 0.9056
2024/01/07 09:43:42 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 09:43:42 - mmengine - INFO - Iter(train) [292000/640000]  base_lr: 1.1370e-04 lr: 1.1370e-05  eta: 6 days, 3:43:37  time: 1.5236  data_time: 0.0260  memory: 25565  grad_norm: 2.5866  loss: 1.2593  caption_loss_cls: 2.1815  detection_loss_cls: 0.0315  detection_loss_reg: 0.3367  semantic_segmentation_loss_cls: 0.0081  grounding_loss_reg: 2.5442  instance_segmentation_loss_cls: 0.0325  instance_segmentation_loss_reg: 0.3355  instance_segmentation_loss_poly: 0.9032
2024/01/07 09:43:42 - mmengine - INFO - Saving checkpoint at 292000 iterations
2024/01/07 09:56:57 - mmengine - INFO - Iter(train) [292500/640000]  base_lr: 1.1346e-04 lr: 1.1346e-05  eta: 6 days, 3:41:39  time: 1.5337  data_time: 0.0260  memory: 25565  grad_norm: 2.5915  loss: 1.2527  caption_loss_cls: 2.1747  detection_loss_cls: 0.0315  detection_loss_reg: 0.3358  semantic_segmentation_loss_cls: 0.0081  grounding_loss_reg: 2.5432  instance_segmentation_loss_cls: 0.0322  instance_segmentation_loss_reg: 0.3342  instance_segmentation_loss_poly: 0.8988
2024/01/07 10:09:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 10:09:22 - mmengine - INFO - Iter(train) [293000/640000]  base_lr: 1.1322e-04 lr: 1.1322e-05  eta: 6 days, 3:22:07  time: 1.5275  data_time: 0.0260  memory: 25565  grad_norm: 2.6084  loss: 1.2527  caption_loss_cls: 2.1700  detection_loss_cls: 0.0313  detection_loss_reg: 0.3338  semantic_segmentation_loss_cls: 0.0081  grounding_loss_reg: 2.5407  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3348  instance_segmentation_loss_poly: 0.9003
2024/01/07 10:21:54 - mmengine - INFO - Iter(train) [293500/640000]  base_lr: 1.1297e-04 lr: 1.1297e-05  eta: 6 days, 3:05:00  time: 1.5291  data_time: 0.0260  memory: 25565  grad_norm: 2.6242  loss: 1.2601  caption_loss_cls: 2.1661  detection_loss_cls: 0.0312  detection_loss_reg: 0.3330  semantic_segmentation_loss_cls: 0.0081  grounding_loss_reg: 2.5397  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3345  instance_segmentation_loss_poly: 0.9012
2024/01/07 10:34:32 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 10:34:32 - mmengine - INFO - Iter(train) [294000/640000]  base_lr: 1.1273e-04 lr: 1.1273e-05  eta: 6 days, 2:50:28  time: 1.5319  data_time: 0.0260  memory: 25565  grad_norm: 2.6298  loss: 1.2501  caption_loss_cls: 2.1673  detection_loss_cls: 0.0312  detection_loss_reg: 0.3322  semantic_segmentation_loss_cls: 0.0080  grounding_loss_reg: 2.5379  instance_segmentation_loss_cls: 0.0324  instance_segmentation_loss_reg: 0.3355  instance_segmentation_loss_poly: 0.9033
2024/01/07 10:34:32 - mmengine - INFO - Saving checkpoint at 294000 iterations
2024/01/07 10:47:38 - mmengine - INFO - Iter(train) [294500/640000]  base_lr: 1.1249e-04 lr: 1.1249e-05  eta: 6 days, 2:44:30  time: 1.5300  data_time: 0.0259  memory: 25565  grad_norm: 2.6729  loss: 1.2508  caption_loss_cls: 2.1656  detection_loss_cls: 0.0310  detection_loss_reg: 0.3306  semantic_segmentation_loss_cls: 0.0080  grounding_loss_reg: 2.5343  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3362  instance_segmentation_loss_poly: 0.9041
2024/01/07 10:59:57 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 10:59:57 - mmengine - INFO - Iter(train) [295000/640000]  base_lr: 1.1224e-04 lr: 1.1224e-05  eta: 6 days, 2:23:46  time: 1.5221  data_time: 0.0257  memory: 25565  grad_norm: 2.7031  loss: 1.2498  caption_loss_cls: 2.1603  detection_loss_cls: 0.0310  detection_loss_reg: 0.3298  semantic_segmentation_loss_cls: 0.0080  grounding_loss_reg: 2.5329  instance_segmentation_loss_cls: 0.0323  instance_segmentation_loss_reg: 0.3379  instance_segmentation_loss_poly: 0.9074
2024/01/07 11:13:07 - mmengine - INFO - Iter(train) [295500/640000]  base_lr: 1.1200e-04 lr: 1.1200e-05  eta: 6 days, 2:18:44  time: 1.5331  data_time: 0.0259  memory: 25565  grad_norm: 2.6827  loss: 1.2451  caption_loss_cls: 2.1596  detection_loss_cls: 0.0311  detection_loss_reg: 0.3299  semantic_segmentation_loss_cls: 0.0080  grounding_loss_reg: 2.5332  instance_segmentation_loss_cls: 0.0321  instance_segmentation_loss_reg: 0.3379  instance_segmentation_loss_poly: 0.9070
2024/01/07 11:25:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 11:25:36 - mmengine - INFO - Iter(train) [296000/640000]  base_lr: 1.1175e-04 lr: 1.1175e-05  eta: 6 days, 2:01:28  time: 1.5280  data_time: 0.0259  memory: 25565  grad_norm: 2.7350  loss: 1.2545  caption_loss_cls: 2.1528  detection_loss_cls: 0.0312  detection_loss_reg: 0.3295  semantic_segmentation_loss_cls: 0.0080  grounding_loss_reg: 2.5345  instance_segmentation_loss_cls: 0.0320  instance_segmentation_loss_reg: 0.3377  instance_segmentation_loss_poly: 0.9069
2024/01/07 11:25:36 - mmengine - INFO - Saving checkpoint at 296000 iterations
2024/01/07 11:38:52 - mmengine - INFO - Iter(train) [296500/640000]  base_lr: 1.1151e-04 lr: 1.1151e-05  eta: 6 days, 1:57:43  time: 1.5283  data_time: 0.0258  memory: 25565  grad_norm: 2.7316  loss: 1.2565  caption_loss_cls: 2.1501  detection_loss_cls: 0.0312  detection_loss_reg: 0.3301  semantic_segmentation_loss_cls: 0.0080  grounding_loss_reg: 2.5331  instance_segmentation_loss_cls: 0.0319  instance_segmentation_loss_reg: 0.3374  instance_segmentation_loss_poly: 0.9062
2024/01/07 11:51:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 11:51:11 - mmengine - INFO - Iter(train) [297000/640000]  base_lr: 1.1127e-04 lr: 1.1127e-05  eta: 6 days, 1:37:44  time: 1.5266  data_time: 0.0258  memory: 25565  grad_norm: 2.7774  loss: 1.2647  caption_loss_cls: 2.1503  detection_loss_cls: 0.0312  detection_loss_reg: 0.3295  semantic_segmentation_loss_cls: 0.0080  grounding_loss_reg: 2.5305  instance_segmentation_loss_cls: 0.0317  instance_segmentation_loss_reg: 0.3358  instance_segmentation_loss_poly: 0.9025
2024/01/07 12:03:54 - mmengine - INFO - Iter(train) [297500/640000]  base_lr: 1.1102e-04 lr: 1.1102e-05  eta: 6 days, 1:24:45  time: 1.5297  data_time: 0.0258  memory: 25565  grad_norm: 2.7687  loss: 1.2627  caption_loss_cls: 2.1537  detection_loss_cls: 0.0310  detection_loss_reg: 0.3271  semantic_segmentation_loss_cls: 0.0079  grounding_loss_reg: 2.5293  instance_segmentation_loss_cls: 0.0316  instance_segmentation_loss_reg: 0.3352  instance_segmentation_loss_poly: 0.9014
2024/01/07 12:16:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 12:16:56 - mmengine - INFO - Iter(train) [298000/640000]  base_lr: 1.1078e-04 lr: 1.1078e-05  eta: 6 days, 1:16:30  time: 1.5355  data_time: 0.0258  memory: 25565  grad_norm: 2.7350  loss: 1.2535  caption_loss_cls: 2.1532  detection_loss_cls: 0.0310  detection_loss_reg: 0.3285  semantic_segmentation_loss_cls: 0.0079  grounding_loss_reg: 2.5280  instance_segmentation_loss_cls: 0.0316  instance_segmentation_loss_reg: 0.3348  instance_segmentation_loss_poly: 0.9016
2024/01/07 12:16:56 - mmengine - INFO - Saving checkpoint at 298000 iterations
2024/01/07 12:30:08 - mmengine - INFO - Iter(train) [298500/640000]  base_lr: 1.1053e-04 lr: 1.1053e-05  eta: 6 days, 1:10:39  time: 1.5370  data_time: 0.0255  memory: 25565  grad_norm: 2.7228  loss: 1.2508  caption_loss_cls: 2.1532  detection_loss_cls: 0.0308  detection_loss_reg: 0.3270  semantic_segmentation_loss_cls: 0.0079  grounding_loss_reg: 2.5235  instance_segmentation_loss_cls: 0.0316  instance_segmentation_loss_reg: 0.3354  instance_segmentation_loss_poly: 0.9025
2024/01/07 12:42:23 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 12:42:23 - mmengine - INFO - Iter(train) [299000/640000]  base_lr: 1.1029e-04 lr: 1.1029e-05  eta: 6 days, 0:50:09  time: 1.5359  data_time: 0.0255  memory: 25565  grad_norm: 2.7260  loss: 1.2636  caption_loss_cls: 2.1547  detection_loss_cls: 0.0307  detection_loss_reg: 0.3264  semantic_segmentation_loss_cls: 0.0079  grounding_loss_reg: 2.5281  instance_segmentation_loss_cls: 0.0315  instance_segmentation_loss_reg: 0.3347  instance_segmentation_loss_poly: 0.9012
2024/01/07 12:54:46 - mmengine - INFO - Iter(train) [299500/640000]  base_lr: 1.1005e-04 lr: 1.1005e-05  eta: 6 days, 0:32:17  time: 1.5243  data_time: 0.0253  memory: 25565  grad_norm: 2.7855  loss: 1.2734  caption_loss_cls: 2.1456  detection_loss_cls: 0.0309  detection_loss_reg: 0.3278  semantic_segmentation_loss_cls: 0.0079  grounding_loss_reg: 2.5272  instance_segmentation_loss_cls: 0.0315  instance_segmentation_loss_reg: 0.3346  instance_segmentation_loss_poly: 0.9006
2024/01/07 13:07:16 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 13:07:16 - mmengine - INFO - Iter(train) [300000/640000]  base_lr: 1.0980e-04 lr: 1.0980e-05  eta: 6 days, 0:16:13  time: 1.5246  data_time: 0.0253  memory: 25565  grad_norm: 2.8166  loss: 1.2753  caption_loss_cls: 2.1425  detection_loss_cls: 0.0309  detection_loss_reg: 0.3269  semantic_segmentation_loss_cls: 0.0079  grounding_loss_reg: 2.5250  instance_segmentation_loss_cls: 0.0317  instance_segmentation_loss_reg: 0.3353  instance_segmentation_loss_poly: 0.9034
2024/01/07 13:07:16 - mmengine - INFO - Saving checkpoint at 300000 iterations
2024/01/07 13:19:14 - mmengine - INFO - Evaluating bbox...
2024/01/07 13:20:11 - mmengine - INFO - bbox_mAP_copypaste: 0.499 0.681 0.548 0.340 0.552 0.639
2024/01/07 13:20:11 - mmengine - INFO - Evaluating segm...
2024/01/07 13:21:22 - mmengine - INFO - segm_mAP_copypaste: 0.324 0.588 0.315 0.179 0.375 0.504
2024/01/07 13:23:36 - mmengine - INFO - Evaluating bbox...
2024/01/07 13:24:33 - mmengine - INFO - bbox_mAP_copypaste: 0.498 0.680 0.547 0.338 0.551 0.639
2024/01/07 13:30:22 - mmengine - INFO - per class results:
2024/01/07 13:30:22 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 77.81 | 89.03 |
|       building      |  81.7 | 90.35 |
|         sky         | 93.54 | 97.68 |
|        floor        | 82.84 | 89.41 |
|         tree        | 74.27 | 88.92 |
|       ceiling       | 85.22 | 93.42 |
|         road        | 84.36 | 91.19 |
|         bed         | 89.61 |  95.1 |
|      windowpane     | 63.89 | 83.77 |
|        grass        | 67.42 | 83.24 |
|       cabinet       | 60.21 | 71.14 |
|       sidewalk      | 67.75 | 78.83 |
|        person       | 81.17 |  91.4 |
|        earth        | 33.02 | 41.99 |
|         door        |  55.4 | 70.21 |
|        table        | 61.93 | 81.97 |
|       mountain      | 53.23 | 66.51 |
|        plant        | 50.72 | 60.49 |
|       curtain       | 75.41 |  84.7 |
|        chair        | 61.11 | 74.65 |
|         car         | 84.07 | 91.58 |
|        water        | 52.77 | 66.78 |
|       painting      | 71.64 |  88.1 |
|         sofa        | 70.25 |  79.1 |
|        shelf        | 43.85 | 60.17 |
|        house        | 41.68 | 64.27 |
|         sea         | 59.97 | 78.96 |
|        mirror       | 67.65 | 72.52 |
|         rug         | 69.57 | 80.68 |
|        field        | 23.59 | 37.41 |
|       armchair      | 50.13 | 74.25 |
|         seat        | 68.02 | 80.56 |
|        fence        | 46.23 | 66.02 |
|         desk        | 51.15 | 75.45 |
|         rock        |  51.8 | 78.23 |
|       wardrobe      | 47.65 | 68.08 |
|         lamp        | 62.96 | 77.15 |
|       bathtub       | 78.57 | 89.04 |
|       railing       | 38.21 | 51.36 |
|       cushion       | 58.15 | 69.79 |
|         base        | 25.92 | 38.38 |
|         box         | 28.14 | 38.04 |
|        column       | 54.06 | 65.42 |
|      signboard      | 38.34 | 57.72 |
|   chest of drawers  | 38.22 | 61.48 |
|       counter       | 30.81 | 49.69 |
|         sand        | 49.11 |  68.4 |
|         sink        | 76.22 | 84.53 |
|      skyscraper     | 45.02 | 56.45 |
|      fireplace      | 75.71 | 84.29 |
|     refrigerator    | 75.21 | 86.61 |
|      grandstand     | 52.53 | 76.51 |
|         path        | 21.21 | 40.66 |
|        stairs       | 38.16 |  46.5 |
|        runway       | 73.34 | 92.98 |
|         case        | 48.91 | 61.16 |
|      pool table     | 91.26 | 94.91 |
|        pillow       | 60.67 |  75.1 |
|     screen door     | 73.79 | 75.58 |
|       stairway      | 41.19 | 53.03 |
|        river        | 11.16 | 30.97 |
|        bridge       | 69.25 | 78.42 |
|       bookcase      | 40.16 | 53.89 |
|        blind        | 37.96 | 42.26 |
|     coffee table    | 64.21 | 78.45 |
|        toilet       | 83.88 | 94.14 |
|        flower       | 36.61 | 46.42 |
|         book        | 44.16 | 67.97 |
|         hill        |  11.5 | 21.61 |
|        bench        | 59.62 | 68.18 |
|      countertop     | 61.22 | 69.02 |
|        stove        | 78.59 | 82.96 |
|         palm        | 47.63 | 72.33 |
|    kitchen island   | 47.68 | 76.75 |
|       computer      | 75.28 | 89.79 |
|     swivel chair    | 44.02 | 53.92 |
|         boat        | 59.13 | 75.59 |
|         bar         | 40.43 | 47.62 |
|    arcade machine   | 72.54 | 75.04 |
|        hovel        |  28.0 | 38.79 |
|         bus         | 87.11 | 93.96 |
|        towel        | 65.15 | 76.06 |
|        light        | 52.76 | 66.92 |
|        truck        | 42.96 | 59.32 |
|        tower        | 27.47 | 44.96 |
|      chandelier     | 64.22 | 75.85 |
|        awning       |  29.8 | 39.65 |
|     streetlight     | 31.39 | 45.48 |
|        booth        | 46.08 | 51.83 |
| television receiver | 69.42 | 90.58 |
|       airplane      |  64.7 | 73.38 |
|      dirt track     |  10.3 | 18.97 |
|       apparel       |  31.4 | 41.27 |
|         pole        | 21.09 | 28.85 |
|         land        |  4.36 |  6.05 |
|      bannister      | 17.79 | 28.14 |
|      escalator      | 20.33 | 21.08 |
|       ottoman       | 49.67 | 70.24 |
|        bottle       | 23.18 |  27.9 |
|        buffet       | 54.95 | 63.44 |
|        poster       | 25.47 | 29.99 |
|        stage        |  13.8 | 25.93 |
|         van         | 49.47 |  66.9 |
|         ship        |  8.91 |  9.79 |
|       fountain      | 19.55 |  19.8 |
|    conveyer belt    | 55.28 | 93.23 |
|        canopy       | 38.34 | 56.75 |
|        washer       | 70.18 | 72.64 |
|      plaything      | 34.85 | 45.15 |
|    swimming pool    | 38.95 | 54.45 |
|        stool        | 41.93 | 61.86 |
|        barrel       | 36.38 | 64.77 |
|        basket       |  35.2 | 45.58 |
|      waterfall      | 68.27 | 84.07 |
|         tent        | 74.23 |  97.9 |
|         bag         | 19.79 | 27.27 |
|       minibike      | 71.28 |  76.3 |
|        cradle       | 83.23 | 95.68 |
|         oven        | 48.86 | 60.26 |
|         ball        | 53.52 |  71.2 |
|         food        | 57.37 | 65.15 |
|         step        | 21.29 | 23.69 |
|         tank        | 54.01 | 64.32 |
|      trade name     | 24.69 | 28.87 |
|      microwave      | 84.05 | 94.09 |
|         pot         | 51.14 | 66.13 |
|        animal       | 60.61 | 63.86 |
|       bicycle       | 57.51 | 72.73 |
|         lake        | 53.93 | 63.72 |
|      dishwasher     | 65.73 | 78.83 |
|        screen       |  65.1 | 82.03 |
|       blanket       | 29.27 | 37.98 |
|      sculpture      | 52.52 |  84.4 |
|         hood        | 58.61 | 73.78 |
|        sconce       | 45.24 | 68.76 |
|         vase        | 42.63 | 58.88 |
|    traffic light    | 39.71 | 51.81 |
|         tray        | 14.16 | 17.28 |
|        ashcan       | 38.53 |  46.1 |
|         fan         | 62.53 | 75.82 |
|         pier        | 14.96 | 62.89 |
|      crt screen     |  4.74 |  7.56 |
|        plate        |  57.9 | 72.18 |
|       monitor       | 40.22 | 49.27 |
|    bulletin board   | 39.54 | 47.54 |
|        shower       |  2.48 |  2.99 |
|       radiator      | 59.04 | 69.79 |
|        glass        | 17.55 | 19.21 |
|        clock        |  40.8 | 58.62 |
|         flag        | 40.04 | 48.15 |
+---------------------+-------+-------+
2024/01/07 13:30:36 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.4980  coco/bbox_mAP_50: 0.6800  coco/bbox_mAP_75: 0.5470  coco/bbox_mAP_s: 0.3380  coco/bbox_mAP_m: 0.5510  coco/bbox_mAP_l: 0.6390  coco/segm_mAP: 0.3240  coco/segm_mAP_50: 0.5880  coco/segm_mAP_75: 0.3150  coco/segm_mAP_s: 0.1790  coco/segm_mAP_m: 0.3750  coco/segm_mAP_l: 0.5040  Bleu_1: 0.7545  Bleu_2: 0.5872  Bleu_3: 0.4429  Bleu_4: 0.3300  METEOR: 0.2674  ROUGE_L: 0.5533  CIDEr: 1.0689  SPICE: 0.1998  aAcc: 83.3700  mIoU: 50.5800  mAcc: 63.2300  visual-grounding/miou: 0.8059  visual-grounding/acc: 0.8737  data_time: 0.0145  time: 1.9431
2024/01/07 13:43:16 - mmengine - INFO - Iter(train) [300500/640000]  base_lr: 1.0956e-04 lr: 1.0956e-05  eta: 6 days, 0:03:28  time: 1.5165  data_time: 0.0191  memory: 34656  grad_norm: 2.8104  loss: 1.2810  caption_loss_cls: 2.1454  detection_loss_cls: 0.0308  detection_loss_reg: 0.3248  semantic_segmentation_loss_cls: 0.0079  grounding_loss_reg: 2.5277  instance_segmentation_loss_cls: 0.0315  instance_segmentation_loss_reg: 0.3348  instance_segmentation_loss_poly: 0.9025
2024/01/07 13:56:24 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 13:56:24 - mmengine - INFO - Iter(train) [301000/640000]  base_lr: 1.0931e-04 lr: 1.0931e-05  eta: 5 days, 23:56:00  time: 1.5286  data_time: 0.0192  memory: 25564  grad_norm: 2.7946  loss: 1.2756  caption_loss_cls: 2.1452  detection_loss_cls: 0.0307  detection_loss_reg: 0.3236  semantic_segmentation_loss_cls: 0.0079  grounding_loss_reg: 2.5285  instance_segmentation_loss_cls: 0.0314  instance_segmentation_loss_reg: 0.3349  instance_segmentation_loss_poly: 0.9023
2024/01/07 14:09:24 - mmengine - INFO - Iter(train) [301500/640000]  base_lr: 1.0907e-04 lr: 1.0907e-05  eta: 5 days, 23:46:45  time: 1.5328  data_time: 0.0192  memory: 25564  grad_norm: 2.8551  loss: 1.2858  caption_loss_cls: 2.1453  detection_loss_cls: 0.0309  detection_loss_reg: 0.3250  semantic_segmentation_loss_cls: 0.0078  grounding_loss_reg: 2.5302  instance_segmentation_loss_cls: 0.0316  instance_segmentation_loss_reg: 0.3370  instance_segmentation_loss_poly: 0.9071
2024/01/07 14:21:26 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 14:21:26 - mmengine - INFO - Iter(train) [302000/640000]  base_lr: 1.0882e-04 lr: 1.0882e-05  eta: 5 days, 23:24:49  time: 1.5180  data_time: 0.0191  memory: 25564  grad_norm: 2.9307  loss: 1.3059  caption_loss_cls: 2.1511  detection_loss_cls: 0.0308  detection_loss_reg: 0.3256  semantic_segmentation_loss_cls: 0.0078  grounding_loss_reg: 2.5308  instance_segmentation_loss_cls: 0.0316  instance_segmentation_loss_reg: 0.3359  instance_segmentation_loss_poly: 0.9055
2024/01/07 14:21:26 - mmengine - INFO - Saving checkpoint at 302000 iterations
2024/01/07 14:34:17 - mmengine - INFO - Iter(train) [302500/640000]  base_lr: 1.0858e-04 lr: 1.0858e-05  eta: 5 days, 23:13:37  time: 1.5127  data_time: 0.0193  memory: 25564  grad_norm: 3.0147  loss: 1.3120  caption_loss_cls: 2.1570  detection_loss_cls: 0.0310  detection_loss_reg: 0.3283  semantic_segmentation_loss_cls: 0.0078  grounding_loss_reg: 2.5279  instance_segmentation_loss_cls: 0.0316  instance_segmentation_loss_reg: 0.3361  instance_segmentation_loss_poly: 0.9045
2024/01/07 14:47:07 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 14:47:07 - mmengine - INFO - Iter(train) [303000/640000]  base_lr: 1.0834e-04 lr: 1.0834e-05  eta: 5 days, 23:02:06  time: 1.5217  data_time: 0.0195  memory: 25564  grad_norm: 3.0218  loss: 1.3036  caption_loss_cls: 2.1590  detection_loss_cls: 0.0308  detection_loss_reg: 0.3283  semantic_segmentation_loss_cls: 0.0078  grounding_loss_reg: 2.5286  instance_segmentation_loss_cls: 0.0314  instance_segmentation_loss_reg: 0.3364  instance_segmentation_loss_poly: 0.9056
2024/01/07 14:59:33 - mmengine - INFO - Iter(train) [303500/640000]  base_lr: 1.0809e-04 lr: 1.0809e-05  eta: 5 days, 22:45:37  time: 1.5223  data_time: 0.0196  memory: 25564  grad_norm: 3.0506  loss: 1.3137  caption_loss_cls: 2.1620  detection_loss_cls: 0.0307  detection_loss_reg: 0.3275  semantic_segmentation_loss_cls: 0.0078  grounding_loss_reg: 2.5235  instance_segmentation_loss_cls: 0.0315  instance_segmentation_loss_reg: 0.3380  instance_segmentation_loss_poly: 0.9074
2024/01/07 15:12:23 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 15:12:23 - mmengine - INFO - Iter(train) [304000/640000]  base_lr: 1.0785e-04 lr: 1.0785e-05  eta: 5 days, 22:34:01  time: 1.5271  data_time: 0.0197  memory: 25564  grad_norm: 3.0963  loss: 1.3047  caption_loss_cls: 2.1615  detection_loss_cls: 0.0308  detection_loss_reg: 0.3284  semantic_segmentation_loss_cls: 0.0078  grounding_loss_reg: 2.5244  instance_segmentation_loss_cls: 0.0314  instance_segmentation_loss_reg: 0.3376  instance_segmentation_loss_poly: 0.9052
2024/01/07 15:12:23 - mmengine - INFO - Saving checkpoint at 304000 iterations
2024/01/07 15:25:55 - mmengine - INFO - Iter(train) [304500/640000]  base_lr: 1.0760e-04 lr: 1.0760e-05  eta: 5 days, 22:30:41  time: 1.5391  data_time: 0.0261  memory: 25564  grad_norm: 3.0632  loss: 1.2936  caption_loss_cls: 2.1634  detection_loss_cls: 0.0309  detection_loss_reg: 0.3292  semantic_segmentation_loss_cls: 0.0078  grounding_loss_reg: 2.5195  instance_segmentation_loss_cls: 0.0314  instance_segmentation_loss_reg: 0.3376  instance_segmentation_loss_poly: 0.9059
2024/01/07 15:38:25 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 15:38:25 - mmengine - INFO - Iter(train) [305000/640000]  base_lr: 1.0736e-04 lr: 1.0736e-05  eta: 5 days, 22:15:06  time: 1.5298  data_time: 0.0260  memory: 25564  grad_norm: 3.0728  loss: 1.2901  caption_loss_cls: 2.1608  detection_loss_cls: 0.0312  detection_loss_reg: 0.3330  semantic_segmentation_loss_cls: 0.0078  grounding_loss_reg: 2.5143  instance_segmentation_loss_cls: 0.0312  instance_segmentation_loss_reg: 0.3368  instance_segmentation_loss_poly: 0.9028
2024/01/07 15:51:10 - mmengine - INFO - Iter(train) [305500/640000]  base_lr: 1.0711e-04 lr: 1.0711e-05  eta: 5 days, 22:02:30  time: 1.5261  data_time: 0.0261  memory: 25564  grad_norm: 3.0182  loss: 1.2732  caption_loss_cls: 2.1642  detection_loss_cls: 0.0312  detection_loss_reg: 0.3315  semantic_segmentation_loss_cls: 0.0078  grounding_loss_reg: 2.5160  instance_segmentation_loss_cls: 0.0312  instance_segmentation_loss_reg: 0.3374  instance_segmentation_loss_poly: 0.9049
2024/01/07 16:04:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 16:04:39 - mmengine - INFO - Iter(train) [306000/640000]  base_lr: 1.0687e-04 lr: 1.0687e-05  eta: 5 days, 21:57:52  time: 1.5475  data_time: 0.0264  memory: 25564  grad_norm: 2.9542  loss: 1.2600  caption_loss_cls: 2.1648  detection_loss_cls: 0.0313  detection_loss_reg: 0.3330  semantic_segmentation_loss_cls: 0.0078  grounding_loss_reg: 2.5166  instance_segmentation_loss_cls: 0.0313  instance_segmentation_loss_reg: 0.3375  instance_segmentation_loss_poly: 0.9061
2024/01/07 16:04:39 - mmengine - INFO - Saving checkpoint at 306000 iterations
2024/01/07 16:17:30 - mmengine - INFO - Iter(train) [306500/640000]  base_lr: 1.0662e-04 lr: 1.0662e-05  eta: 5 days, 21:46:16  time: 1.5477  data_time: 0.0265  memory: 25564  grad_norm: 2.9071  loss: 1.2514  caption_loss_cls: 2.1588  detection_loss_cls: 0.0312  detection_loss_reg: 0.3323  semantic_segmentation_loss_cls: 0.0078  grounding_loss_reg: 2.5147  instance_segmentation_loss_cls: 0.0311  instance_segmentation_loss_reg: 0.3367  instance_segmentation_loss_poly: 0.9035
2024/01/07 16:30:16 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 16:30:16 - mmengine - INFO - Iter(train) [307000/640000]  base_lr: 1.0638e-04 lr: 1.0638e-05  eta: 5 days, 21:33:37  time: 1.5466  data_time: 0.0264  memory: 25564  grad_norm: 2.8991  loss: 1.2377  caption_loss_cls: 2.1582  detection_loss_cls: 0.0310  detection_loss_reg: 0.3299  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5159  instance_segmentation_loss_cls: 0.0309  instance_segmentation_loss_reg: 0.3351  instance_segmentation_loss_poly: 0.8983
2024/01/07 16:42:23 - mmengine - INFO - Iter(train) [307500/640000]  base_lr: 1.0613e-04 lr: 1.0613e-05  eta: 5 days, 21:14:00  time: 1.5418  data_time: 0.0263  memory: 25564  grad_norm: 2.8885  loss: 1.2304  caption_loss_cls: 2.1571  detection_loss_cls: 0.0310  detection_loss_reg: 0.3289  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5164  instance_segmentation_loss_cls: 0.0306  instance_segmentation_loss_reg: 0.3337  instance_segmentation_loss_poly: 0.8973
2024/01/07 16:55:38 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 16:55:38 - mmengine - INFO - Iter(train) [308000/640000]  base_lr: 1.0589e-04 lr: 1.0589e-05  eta: 5 days, 21:06:28  time: 1.5481  data_time: 0.0263  memory: 25564  grad_norm: 2.7779  loss: 1.2234  caption_loss_cls: 2.1545  detection_loss_cls: 0.0312  detection_loss_reg: 0.3302  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5144  instance_segmentation_loss_cls: 0.0307  instance_segmentation_loss_reg: 0.3338  instance_segmentation_loss_poly: 0.8990
2024/01/07 16:55:38 - mmengine - INFO - Saving checkpoint at 308000 iterations
2024/01/07 17:08:38 - mmengine - INFO - Iter(train) [308500/640000]  base_lr: 1.0564e-04 lr: 1.0564e-05  eta: 5 days, 20:56:17  time: 1.5403  data_time: 0.0261  memory: 25564  grad_norm: 2.8286  loss: 1.2257  caption_loss_cls: 2.1537  detection_loss_cls: 0.0313  detection_loss_reg: 0.3311  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5127  instance_segmentation_loss_cls: 0.0305  instance_segmentation_loss_reg: 0.3321  instance_segmentation_loss_poly: 0.8952
2024/01/07 17:21:16 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 17:21:16 - mmengine - INFO - Iter(train) [309000/640000]  base_lr: 1.0540e-04 lr: 1.0540e-05  eta: 5 days, 20:42:10  time: 1.5421  data_time: 0.0263  memory: 25564  grad_norm: 2.8379  loss: 1.2414  caption_loss_cls: 2.1521  detection_loss_cls: 0.0314  detection_loss_reg: 0.3310  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5107  instance_segmentation_loss_cls: 0.0307  instance_segmentation_loss_reg: 0.3341  instance_segmentation_loss_poly: 0.8985
2024/01/07 17:34:10 - mmengine - INFO - Iter(train) [309500/640000]  base_lr: 1.0515e-04 lr: 1.0515e-05  eta: 5 days, 20:30:51  time: 1.5443  data_time: 0.0263  memory: 25564  grad_norm: 2.8207  loss: 1.2390  caption_loss_cls: 2.1521  detection_loss_cls: 0.0315  detection_loss_reg: 0.3307  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5092  instance_segmentation_loss_cls: 0.0305  instance_segmentation_loss_reg: 0.3333  instance_segmentation_loss_poly: 0.8983
2024/01/07 17:46:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 17:46:39 - mmengine - INFO - Iter(train) [310000/640000]  base_lr: 1.0491e-04 lr: 1.0491e-05  eta: 5 days, 20:15:26  time: 1.5295  data_time: 0.0260  memory: 25564  grad_norm: 2.8272  loss: 1.2529  caption_loss_cls: 2.1603  detection_loss_cls: 0.0314  detection_loss_reg: 0.3285  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5113  instance_segmentation_loss_cls: 0.0305  instance_segmentation_loss_reg: 0.3338  instance_segmentation_loss_poly: 0.8996
2024/01/07 17:46:39 - mmengine - INFO - Saving checkpoint at 310000 iterations
2024/01/07 17:59:35 - mmengine - INFO - Iter(train) [310500/640000]  base_lr: 1.0466e-04 lr: 1.0466e-05  eta: 5 days, 20:04:24  time: 1.5306  data_time: 0.0259  memory: 25564  grad_norm: 2.7923  loss: 1.2648  caption_loss_cls: 2.1627  detection_loss_cls: 0.0315  detection_loss_reg: 0.3285  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5071  instance_segmentation_loss_cls: 0.0305  instance_segmentation_loss_reg: 0.3342  instance_segmentation_loss_poly: 0.9007
2024/01/07 18:12:08 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 18:12:08 - mmengine - INFO - Iter(train) [311000/640000]  base_lr: 1.0442e-04 lr: 1.0442e-05  eta: 5 days, 19:49:44  time: 1.5274  data_time: 0.0258  memory: 25564  grad_norm: 2.7595  loss: 1.2662  caption_loss_cls: 2.1652  detection_loss_cls: 0.0316  detection_loss_reg: 0.3298  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5068  instance_segmentation_loss_cls: 0.0305  instance_segmentation_loss_reg: 0.3338  instance_segmentation_loss_poly: 0.8997
2024/01/07 18:24:45 - mmengine - INFO - Iter(train) [311500/640000]  base_lr: 1.0417e-04 lr: 1.0417e-05  eta: 5 days, 19:35:41  time: 1.5350  data_time: 0.0259  memory: 25564  grad_norm: 2.7216  loss: 1.2641  caption_loss_cls: 2.1709  detection_loss_cls: 0.0316  detection_loss_reg: 0.3300  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.5082  instance_segmentation_loss_cls: 0.0303  instance_segmentation_loss_reg: 0.3327  instance_segmentation_loss_poly: 0.8967
2024/01/07 18:37:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 18:37:22 - mmengine - INFO - Iter(train) [312000/640000]  base_lr: 1.0393e-04 lr: 1.0393e-05  eta: 5 days, 19:21:39  time: 1.5255  data_time: 0.0258  memory: 25564  grad_norm: 2.7382  loss: 1.2698  caption_loss_cls: 2.1662  detection_loss_cls: 0.0317  detection_loss_reg: 0.3304  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5053  instance_segmentation_loss_cls: 0.0303  instance_segmentation_loss_reg: 0.3322  instance_segmentation_loss_poly: 0.8957
2024/01/07 18:37:22 - mmengine - INFO - Saving checkpoint at 312000 iterations
2024/01/07 18:50:42 - mmengine - INFO - Iter(train) [312500/640000]  base_lr: 1.0368e-04 lr: 1.0368e-05  eta: 5 days, 19:14:03  time: 1.5302  data_time: 0.0266  memory: 25564  grad_norm: 2.7121  loss: 1.2846  caption_loss_cls: 2.1680  detection_loss_cls: 0.0316  detection_loss_reg: 0.3302  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5066  instance_segmentation_loss_cls: 0.0303  instance_segmentation_loss_reg: 0.3339  instance_segmentation_loss_poly: 0.8995
2024/01/07 19:03:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 19:03:44 - mmengine - INFO - Iter(train) [313000/640000]  base_lr: 1.0344e-04 lr: 1.0344e-05  eta: 5 days, 19:03:49  time: 1.5365  data_time: 0.0265  memory: 25564  grad_norm: 2.6550  loss: 1.2693  caption_loss_cls: 2.1680  detection_loss_cls: 0.0317  detection_loss_reg: 0.3316  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5079  instance_segmentation_loss_cls: 0.0303  instance_segmentation_loss_reg: 0.3336  instance_segmentation_loss_poly: 0.8982
2024/01/07 19:16:19 - mmengine - INFO - Iter(train) [313500/640000]  base_lr: 1.0319e-04 lr: 1.0319e-05  eta: 5 days, 18:49:27  time: 1.5317  data_time: 0.0265  memory: 25564  grad_norm: 2.6704  loss: 1.2716  caption_loss_cls: 2.1698  detection_loss_cls: 0.0319  detection_loss_reg: 0.3334  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5051  instance_segmentation_loss_cls: 0.0301  instance_segmentation_loss_reg: 0.3320  instance_segmentation_loss_poly: 0.8953
2024/01/07 19:28:42 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 19:28:42 - mmengine - INFO - Iter(train) [314000/640000]  base_lr: 1.0295e-04 lr: 1.0295e-05  eta: 5 days, 18:33:26  time: 1.5301  data_time: 0.0264  memory: 25564  grad_norm: 2.6901  loss: 1.2613  caption_loss_cls: 2.1729  detection_loss_cls: 0.0315  detection_loss_reg: 0.3312  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5082  instance_segmentation_loss_cls: 0.0301  instance_segmentation_loss_reg: 0.3318  instance_segmentation_loss_poly: 0.8947
2024/01/07 19:28:42 - mmengine - INFO - Saving checkpoint at 314000 iterations
2024/01/07 19:42:05 - mmengine - INFO - Iter(train) [314500/640000]  base_lr: 1.0270e-04 lr: 1.0270e-05  eta: 5 days, 18:26:02  time: 1.5369  data_time: 0.0265  memory: 25564  grad_norm: 2.6896  loss: 1.2593  caption_loss_cls: 2.1735  detection_loss_cls: 0.0314  detection_loss_reg: 0.3319  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5095  instance_segmentation_loss_cls: 0.0301  instance_segmentation_loss_reg: 0.3324  instance_segmentation_loss_poly: 0.8954
2024/01/07 19:54:17 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 19:54:17 - mmengine - INFO - Iter(train) [315000/640000]  base_lr: 1.0245e-04 lr: 1.0245e-05  eta: 5 days, 18:08:35  time: 1.5316  data_time: 0.0265  memory: 25564  grad_norm: 2.7279  loss: 1.2805  caption_loss_cls: 2.1813  detection_loss_cls: 0.0314  detection_loss_reg: 0.3322  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5112  instance_segmentation_loss_cls: 0.0302  instance_segmentation_loss_reg: 0.3322  instance_segmentation_loss_poly: 0.8954
2024/01/07 20:07:10 - mmengine - INFO - Iter(train) [315500/640000]  base_lr: 1.0221e-04 lr: 1.0221e-05  eta: 5 days, 17:56:52  time: 1.5356  data_time: 0.0265  memory: 25564  grad_norm: 2.7241  loss: 1.2640  caption_loss_cls: 2.1816  detection_loss_cls: 0.0314  detection_loss_reg: 0.3326  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5092  instance_segmentation_loss_cls: 0.0302  instance_segmentation_loss_reg: 0.3305  instance_segmentation_loss_poly: 0.8930
2024/01/07 20:19:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 20:19:53 - mmengine - INFO - Iter(train) [316000/640000]  base_lr: 1.0196e-04 lr: 1.0196e-05  eta: 5 days, 17:43:48  time: 1.5372  data_time: 0.0266  memory: 25564  grad_norm: 2.7404  loss: 1.2695  caption_loss_cls: 2.1847  detection_loss_cls: 0.0314  detection_loss_reg: 0.3341  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5037  instance_segmentation_loss_cls: 0.0305  instance_segmentation_loss_reg: 0.3320  instance_segmentation_loss_poly: 0.8966
2024/01/07 20:19:53 - mmengine - INFO - Saving checkpoint at 316000 iterations
2024/01/07 20:32:49 - mmengine - INFO - Iter(train) [316500/640000]  base_lr: 1.0172e-04 lr: 1.0172e-05  eta: 5 days, 17:32:29  time: 1.5314  data_time: 0.0258  memory: 25564  grad_norm: 2.7392  loss: 1.2674  caption_loss_cls: 2.1891  detection_loss_cls: 0.0313  detection_loss_reg: 0.3333  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5073  instance_segmentation_loss_cls: 0.0304  instance_segmentation_loss_reg: 0.3326  instance_segmentation_loss_poly: 0.8976
2024/01/07 20:45:15 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 20:45:15 - mmengine - INFO - Iter(train) [317000/640000]  base_lr: 1.0147e-04 lr: 1.0147e-05  eta: 5 days, 17:17:04  time: 1.5220  data_time: 0.0257  memory: 25564  grad_norm: 2.7808  loss: 1.2815  caption_loss_cls: 2.1897  detection_loss_cls: 0.0313  detection_loss_reg: 0.3336  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5079  instance_segmentation_loss_cls: 0.0304  instance_segmentation_loss_reg: 0.3327  instance_segmentation_loss_poly: 0.8972
2024/01/07 20:57:50 - mmengine - INFO - Iter(train) [317500/640000]  base_lr: 1.0123e-04 lr: 1.0123e-05  eta: 5 days, 17:02:58  time: 1.5221  data_time: 0.0258  memory: 25564  grad_norm: 2.7926  loss: 1.2890  caption_loss_cls: 2.1959  detection_loss_cls: 0.0315  detection_loss_reg: 0.3359  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5072  instance_segmentation_loss_cls: 0.0306  instance_segmentation_loss_reg: 0.3334  instance_segmentation_loss_poly: 0.8989
2024/01/07 21:10:20 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 21:10:20 - mmengine - INFO - Iter(train) [318000/640000]  base_lr: 1.0098e-04 lr: 1.0098e-05  eta: 5 days, 16:48:17  time: 1.5239  data_time: 0.0258  memory: 25564  grad_norm: 2.7859  loss: 1.2812  caption_loss_cls: 2.1820  detection_loss_cls: 0.0313  detection_loss_reg: 0.3337  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5068  instance_segmentation_loss_cls: 0.0306  instance_segmentation_loss_reg: 0.3332  instance_segmentation_loss_poly: 0.8984
2024/01/07 21:10:20 - mmengine - INFO - Saving checkpoint at 318000 iterations
2024/01/07 21:23:34 - mmengine - INFO - Iter(train) [318500/640000]  base_lr: 1.0074e-04 lr: 1.0074e-05  eta: 5 days, 16:39:14  time: 1.5217  data_time: 0.0256  memory: 25564  grad_norm: 2.7838  loss: 1.2778  caption_loss_cls: 2.1732  detection_loss_cls: 0.0313  detection_loss_reg: 0.3330  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5091  instance_segmentation_loss_cls: 0.0305  instance_segmentation_loss_reg: 0.3322  instance_segmentation_loss_poly: 0.8973
2024/01/07 21:36:30 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 21:36:30 - mmengine - INFO - Iter(train) [319000/640000]  base_lr: 1.0049e-04 lr: 1.0049e-05  eta: 5 days, 16:27:48  time: 1.5327  data_time: 0.0257  memory: 25564  grad_norm: 2.7851  loss: 1.2616  caption_loss_cls: 2.1719  detection_loss_cls: 0.0313  detection_loss_reg: 0.3334  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5085  instance_segmentation_loss_cls: 0.0304  instance_segmentation_loss_reg: 0.3315  instance_segmentation_loss_poly: 0.8960
2024/01/07 21:49:14 - mmengine - INFO - Iter(train) [319500/640000]  base_lr: 1.0025e-04 lr: 1.0025e-05  eta: 5 days, 16:14:52  time: 1.5304  data_time: 0.0258  memory: 25564  grad_norm: 2.7592  loss: 1.2723  caption_loss_cls: 2.1757  detection_loss_cls: 0.0313  detection_loss_reg: 0.3331  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5078  instance_segmentation_loss_cls: 0.0303  instance_segmentation_loss_reg: 0.3308  instance_segmentation_loss_poly: 0.8944
2024/01/07 22:02:10 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 22:02:10 - mmengine - INFO - Iter(train) [320000/640000]  base_lr: 1.0000e-04 lr: 1.0000e-05  eta: 5 days, 16:03:25  time: 1.5337  data_time: 0.0257  memory: 25564  grad_norm: 2.7271  loss: 1.2638  caption_loss_cls: 2.1759  detection_loss_cls: 0.0311  detection_loss_reg: 0.3321  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5046  instance_segmentation_loss_cls: 0.0302  instance_segmentation_loss_reg: 0.3305  instance_segmentation_loss_poly: 0.8927
2024/01/07 22:02:10 - mmengine - INFO - Saving checkpoint at 320000 iterations
2024/01/07 22:14:01 - mmengine - INFO - Evaluating bbox...
2024/01/07 22:14:58 - mmengine - INFO - bbox_mAP_copypaste: 0.502 0.685 0.551 0.347 0.557 0.645
2024/01/07 22:14:58 - mmengine - INFO - Evaluating segm...
2024/01/07 22:16:11 - mmengine - INFO - segm_mAP_copypaste: 0.335 0.600 0.327 0.192 0.385 0.511
2024/01/07 22:18:20 - mmengine - INFO - Evaluating bbox...
2024/01/07 22:19:18 - mmengine - INFO - bbox_mAP_copypaste: 0.502 0.685 0.550 0.346 0.557 0.644
2024/01/07 22:24:49 - mmengine - INFO - per class results:
2024/01/07 22:24:49 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 78.61 |  89.5 |
|       building      |  82.7 | 91.03 |
|         sky         | 93.65 | 97.77 |
|        floor        | 82.39 | 90.43 |
|         tree        | 74.08 | 87.65 |
|       ceiling       | 84.93 | 94.31 |
|         road        |  84.7 |  89.9 |
|         bed         | 88.82 | 96.71 |
|      windowpane     |  63.1 | 78.97 |
|        grass        | 68.06 | 79.78 |
|       cabinet       | 60.51 | 70.71 |
|       sidewalk      | 67.63 |  80.9 |
|        person       | 81.38 | 92.28 |
|        earth        | 39.96 | 57.12 |
|         door        | 51.84 | 63.72 |
|        table        | 65.06 | 78.98 |
|       mountain      | 56.59 | 73.85 |
|        plant        | 53.58 | 63.33 |
|       curtain       | 74.27 | 87.36 |
|        chair        | 60.72 | 72.46 |
|         car         | 84.73 | 92.31 |
|        water        |  57.5 | 70.75 |
|       painting      | 72.93 | 86.55 |
|         sofa        | 70.55 | 77.42 |
|        shelf        | 47.49 | 74.55 |
|        house        | 47.93 | 64.27 |
|         sea         | 59.43 | 69.41 |
|        mirror       | 68.98 | 74.55 |
|         rug         | 66.47 | 76.24 |
|        field        | 32.15 | 48.48 |
|       armchair      |  50.2 | 78.46 |
|         seat        | 68.43 | 79.52 |
|        fence        | 46.67 | 64.72 |
|         desk        | 53.15 | 72.87 |
|         rock        | 51.02 | 78.83 |
|       wardrobe      |  43.8 | 58.65 |
|         lamp        | 65.18 | 74.61 |
|       bathtub       | 77.87 | 91.26 |
|       railing       | 38.35 | 52.81 |
|       cushion       |  61.3 | 72.14 |
|         base        | 28.21 | 42.23 |
|         box         | 27.19 | 34.91 |
|        column       | 53.95 | 61.29 |
|      signboard      | 39.91 | 55.98 |
|   chest of drawers  | 36.96 | 76.92 |
|       counter       | 26.49 | 37.35 |
|         sand        | 41.19 | 53.88 |
|         sink        | 75.57 | 84.77 |
|      skyscraper     | 44.12 | 52.84 |
|      fireplace      | 76.08 | 91.23 |
|     refrigerator    | 80.71 | 83.91 |
|      grandstand     |  45.8 | 85.09 |
|         path        | 24.51 | 35.69 |
|        stairs       | 31.72 | 36.82 |
|        runway       | 74.54 | 96.72 |
|         case        | 46.41 | 54.91 |
|      pool table     | 91.94 |  95.6 |
|        pillow       | 60.01 | 70.79 |
|     screen door     | 80.98 | 83.87 |
|       stairway      | 26.62 | 38.56 |
|        river        | 13.91 | 39.14 |
|        bridge       | 68.71 | 80.27 |
|       bookcase      | 34.18 |  46.5 |
|        blind        | 39.92 | 49.07 |
|     coffee table    | 63.66 | 76.01 |
|        toilet       | 85.54 |  92.2 |
|        flower       | 40.72 | 55.99 |
|         book        | 45.75 | 70.78 |
|         hill        | 11.83 |  19.1 |
|        bench        |  57.7 | 68.72 |
|      countertop     | 56.31 | 80.46 |
|        stove        | 77.81 | 80.81 |
|         palm        | 48.95 | 72.63 |
|    kitchen island   | 37.75 | 63.61 |
|       computer      |  75.2 | 88.74 |
|     swivel chair    | 42.64 | 54.71 |
|         boat        | 59.56 | 78.22 |
|         bar         | 38.57 | 47.31 |
|    arcade machine   | 48.83 |  53.0 |
|        hovel        | 33.51 | 38.46 |
|         bus         | 85.81 |  95.2 |
|        towel        | 62.61 | 77.77 |
|        light        | 49.15 | 56.65 |
|        truck        | 41.84 | 66.77 |
|        tower        | 34.92 | 59.78 |
|      chandelier     | 65.92 | 83.26 |
|        awning       | 29.51 |  47.5 |
|     streetlight     | 32.81 | 42.78 |
|        booth        | 44.41 | 56.16 |
| television receiver | 74.68 | 87.33 |
|       airplane      | 72.65 | 82.43 |
|      dirt track     |  4.39 | 23.65 |
|       apparel       | 31.38 | 40.53 |
|         pole        | 27.12 | 40.33 |
|         land        |  0.3  |  0.38 |
|      bannister      |  17.4 | 28.36 |
|      escalator      | 23.22 | 24.53 |
|       ottoman       | 52.44 | 71.52 |
|        bottle       | 22.02 | 27.24 |
|        buffet       | 56.87 |  64.5 |
|        poster       | 40.72 | 54.41 |
|        stage        | 11.43 | 21.93 |
|         van         |  41.9 | 54.43 |
|         ship        |  8.21 | 10.06 |
|       fountain      | 21.08 | 21.65 |
|    conveyer belt    | 68.98 | 91.91 |
|        canopy       | 32.82 | 45.77 |
|        washer       | 68.53 | 72.36 |
|      plaything      |  31.0 | 41.54 |
|    swimming pool    | 78.55 | 80.23 |
|        stool        | 45.03 | 63.95 |
|        barrel       | 29.06 | 64.17 |
|        basket       | 32.88 | 40.22 |
|      waterfall      | 77.19 | 89.09 |
|         tent        | 74.05 | 97.45 |
|         bag         | 19.05 | 23.61 |
|       minibike      | 71.45 | 81.84 |
|        cradle       |  85.3 | 96.68 |
|         oven        | 45.35 | 56.53 |
|         ball        | 49.16 | 61.24 |
|         food        | 57.45 | 66.43 |
|         step        |  5.37 |  6.71 |
|         tank        | 49.32 | 54.48 |
|      trade name     | 29.01 | 33.97 |
|      microwave      | 85.96 | 93.61 |
|         pot         | 45.68 | 52.21 |
|        animal       | 60.12 | 63.06 |
|       bicycle       |  59.8 | 81.64 |
|         lake        |  45.9 | 49.26 |
|      dishwasher     | 70.18 | 83.59 |
|        screen       | 68.95 | 92.02 |
|       blanket       | 21.25 | 26.11 |
|      sculpture      | 62.67 | 83.57 |
|         hood        | 62.66 | 73.56 |
|        sconce       | 45.52 | 57.22 |
|         vase        | 43.61 | 67.47 |
|    traffic light    | 38.89 | 60.23 |
|         tray        |  18.0 | 26.81 |
|        ashcan       | 44.35 | 56.78 |
|         fan         |  65.5 |  78.2 |
|         pier        | 36.51 | 47.37 |
|      crt screen     |  4.93 | 13.61 |
|        plate        | 59.48 | 76.34 |
|       monitor       |  9.79 | 10.63 |
|    bulletin board   | 57.38 | 62.92 |
|        shower       |  2.64 |  3.1  |
|       radiator      | 61.48 | 69.25 |
|        glass        | 18.15 | 20.41 |
|        clock        | 31.28 | 44.35 |
|         flag        | 51.75 | 65.71 |
+---------------------+-------+-------+
2024/01/07 22:25:01 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5020  coco/bbox_mAP_50: 0.6850  coco/bbox_mAP_75: 0.5500  coco/bbox_mAP_s: 0.3460  coco/bbox_mAP_m: 0.5570  coco/bbox_mAP_l: 0.6440  coco/segm_mAP: 0.3350  coco/segm_mAP_50: 0.6000  coco/segm_mAP_75: 0.3270  coco/segm_mAP_s: 0.1920  coco/segm_mAP_m: 0.3850  coco/segm_mAP_l: 0.5110  Bleu_1: 0.7523  Bleu_2: 0.5870  Bleu_3: 0.4439  Bleu_4: 0.3325  METEOR: 0.2674  ROUGE_L: 0.5530  CIDEr: 1.0738  SPICE: 0.2000  aAcc: 83.7500  mIoU: 50.9700  mAcc: 63.2700  visual-grounding/miou: 0.8096  visual-grounding/acc: 0.8742  data_time: 0.0128  time: 1.9188
2024/01/07 22:37:56 - mmengine - INFO - Iter(train) [320500/640000]  base_lr: 9.9755e-05 lr: 9.9755e-06  eta: 5 days, 15:52:02  time: 1.5339  data_time: 0.0193  memory: 34656  grad_norm: 2.6890  loss: 1.2413  caption_loss_cls: 2.1731  detection_loss_cls: 0.0311  detection_loss_reg: 0.3322  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5002  instance_segmentation_loss_cls: 0.0301  instance_segmentation_loss_reg: 0.3297  instance_segmentation_loss_poly: 0.8898
2024/01/07 22:50:33 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 22:50:33 - mmengine - INFO - Iter(train) [321000/640000]  base_lr: 9.9510e-05 lr: 9.9510e-06  eta: 5 days, 15:38:17  time: 1.5369  data_time: 0.0193  memory: 25564  grad_norm: 2.6907  loss: 1.2405  caption_loss_cls: 2.1724  detection_loss_cls: 0.0314  detection_loss_reg: 0.3349  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.5015  instance_segmentation_loss_cls: 0.0300  instance_segmentation_loss_reg: 0.3285  instance_segmentation_loss_poly: 0.8872
2024/01/07 23:03:35 - mmengine - INFO - Iter(train) [321500/640000]  base_lr: 9.9264e-05 lr: 9.9264e-06  eta: 5 days, 15:27:24  time: 1.5436  data_time: 0.0195  memory: 25564  grad_norm: 2.6769  loss: 1.2322  caption_loss_cls: 2.1698  detection_loss_cls: 0.0313  detection_loss_reg: 0.3344  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.4959  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3276  instance_segmentation_loss_poly: 0.8856
2024/01/07 23:16:08 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 23:16:08 - mmengine - INFO - Iter(train) [322000/640000]  base_lr: 9.9019e-05 lr: 9.9019e-06  eta: 5 days, 15:13:12  time: 1.5444  data_time: 0.0194  memory: 25564  grad_norm: 2.6621  loss: 1.2484  caption_loss_cls: 2.1740  detection_loss_cls: 0.0312  detection_loss_reg: 0.3346  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.4981  instance_segmentation_loss_cls: 0.0299  instance_segmentation_loss_reg: 0.3288  instance_segmentation_loss_poly: 0.8880
2024/01/07 23:16:08 - mmengine - INFO - Saving checkpoint at 322000 iterations
2024/01/07 23:29:30 - mmengine - INFO - Iter(train) [322500/640000]  base_lr: 9.8773e-05 lr: 9.8773e-06  eta: 5 days, 15:04:30  time: 1.5462  data_time: 0.0195  memory: 25564  grad_norm: 2.6331  loss: 1.2280  caption_loss_cls: 2.1735  detection_loss_cls: 0.0312  detection_loss_reg: 0.3333  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.4959  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3277  instance_segmentation_loss_poly: 0.8857
2024/01/07 23:42:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/07 23:42:11 - mmengine - INFO - Iter(train) [323000/640000]  base_lr: 9.8528e-05 lr: 9.8528e-06  eta: 5 days, 14:51:15  time: 1.5426  data_time: 0.0195  memory: 25564  grad_norm: 2.5923  loss: 1.2228  caption_loss_cls: 2.1687  detection_loss_cls: 0.0312  detection_loss_reg: 0.3322  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.4945  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3274  instance_segmentation_loss_poly: 0.8843
2024/01/07 23:54:52 - mmengine - INFO - Iter(train) [323500/640000]  base_lr: 9.8283e-05 lr: 9.8283e-06  eta: 5 days, 14:37:50  time: 1.5416  data_time: 0.0196  memory: 25564  grad_norm: 2.6252  loss: 1.2303  caption_loss_cls: 2.1694  detection_loss_cls: 0.0311  detection_loss_reg: 0.3302  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.4915  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3261  instance_segmentation_loss_poly: 0.8818
2024/01/08 00:08:02 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/08 00:08:02 - mmengine - INFO - Iter(train) [324000/640000]  base_lr: 9.8037e-05 lr: 9.8037e-06  eta: 5 days, 14:27:43  time: 1.5451  data_time: 0.0198  memory: 25564  grad_norm: 2.6322  loss: 1.2394  caption_loss_cls: 2.1712  detection_loss_cls: 0.0311  detection_loss_reg: 0.3293  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4888  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3266  instance_segmentation_loss_poly: 0.8830
2024/01/08 00:08:02 - mmengine - INFO - Saving checkpoint at 324000 iterations
2024/01/08 00:21:21 - mmengine - INFO - Iter(train) [324500/640000]  base_lr: 9.7792e-05 lr: 9.7792e-06  eta: 5 days, 14:18:30  time: 1.5506  data_time: 0.0262  memory: 25564  grad_norm: 2.6823  loss: 1.2573  caption_loss_cls: 2.1725  detection_loss_cls: 0.0311  detection_loss_reg: 0.3305  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.4935  instance_segmentation_loss_cls: 0.0296  instance_segmentation_loss_reg: 0.3261  instance_segmentation_loss_poly: 0.8814
2024/01/08 00:34:28 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/08 00:34:28 - mmengine - INFO - Iter(train) [325000/640000]  base_lr: 9.7546e-05 lr: 9.7546e-06  eta: 5 days, 14:07:56  time: 1.5580  data_time: 0.0263  memory: 25564  grad_norm: 2.6483  loss: 1.2463  caption_loss_cls: 2.1732  detection_loss_cls: 0.0309  detection_loss_reg: 0.3290  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4930  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3290  instance_segmentation_loss_poly: 0.8865
2024/01/08 00:47:27 - mmengine - INFO - Iter(train) [325500/640000]  base_lr: 9.7301e-05 lr: 9.7301e-06  eta: 5 days, 13:56:32  time: 1.5575  data_time: 0.0262  memory: 25564  grad_norm: 2.6227  loss: 1.2397  caption_loss_cls: 2.1773  detection_loss_cls: 0.0309  detection_loss_reg: 0.3299  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.4916  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3294  instance_segmentation_loss_poly: 0.8884
2024/01/08 01:00:27 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/08 01:00:27 - mmengine - INFO - Iter(train) [326000/640000]  base_lr: 9.7056e-05 lr: 9.7056e-06  eta: 5 days, 13:45:04  time: 1.5640  data_time: 0.0264  memory: 25564  grad_norm: 2.6175  loss: 1.2331  caption_loss_cls: 2.1839  detection_loss_cls: 0.0308  detection_loss_reg: 0.3293  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.4929  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3305  instance_segmentation_loss_poly: 0.8913
2024/01/08 01:00:27 - mmengine - INFO - Saving checkpoint at 326000 iterations
2024/01/08 01:13:47 - mmengine - INFO - Iter(train) [326500/640000]  base_lr: 9.6810e-05 lr: 9.6810e-06  eta: 5 days, 13:35:42  time: 1.5637  data_time: 0.0263  memory: 25564  grad_norm: 2.6274  loss: 1.2360  caption_loss_cls: 2.1843  detection_loss_cls: 0.0307  detection_loss_reg: 0.3277  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4854  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3297  instance_segmentation_loss_poly: 0.8906
2024/01/08 01:26:08 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/08 01:26:08 - mmengine - INFO - Iter(train) [327000/640000]  base_lr: 9.6565e-05 lr: 9.6565e-06  eta: 5 days, 13:20:14  time: 1.5586  data_time: 0.0263  memory: 25564  grad_norm: 2.6713  loss: 1.2435  caption_loss_cls: 2.1843  detection_loss_cls: 0.0307  detection_loss_reg: 0.3272  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4822  instance_segmentation_loss_cls: 0.0299  instance_segmentation_loss_reg: 0.3310  instance_segmentation_loss_poly: 0.8940
2024/01/08 01:38:50 - mmengine - INFO - Iter(train) [327500/640000]  base_lr: 9.6320e-05 lr: 9.6320e-06  eta: 5 days, 13:06:56  time: 1.5590  data_time: 0.0262  memory: 25564  grad_norm: 2.6726  loss: 1.2350  caption_loss_cls: 2.1873  detection_loss_cls: 0.0307  detection_loss_reg: 0.3282  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4833  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3304  instance_segmentation_loss_poly: 0.8910
2024/01/08 01:51:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/08 01:51:39 - mmengine - INFO - Iter(train) [328000/640000]  base_lr: 9.6075e-05 lr: 9.6075e-06  eta: 5 days, 12:54:24  time: 1.5539  data_time: 0.0260  memory: 25564  grad_norm: 2.7000  loss: 1.2273  caption_loss_cls: 2.1884  detection_loss_cls: 0.0306  detection_loss_reg: 0.3281  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4794  instance_segmentation_loss_cls: 0.0296  instance_segmentation_loss_reg: 0.3298  instance_segmentation_loss_poly: 0.8875
2024/01/08 01:51:39 - mmengine - INFO - Saving checkpoint at 328000 iterations
2024/01/08 02:04:30 - mmengine - INFO - Iter(train) [328500/640000]  base_lr: 9.5829e-05 lr: 9.5829e-06  eta: 5 days, 12:41:54  time: 1.5466  data_time: 0.0260  memory: 25564  grad_norm: 2.7119  loss: 1.2174  caption_loss_cls: 2.1886  detection_loss_cls: 0.0306  detection_loss_reg: 0.3296  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4750  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3309  instance_segmentation_loss_poly: 0.8910
2024/01/08 02:17:28 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240107_022829
2024/01/08 02:17:28 - mmengine - INFO - Iter(train) [329000/640000]  base_lr: 9.5584e-05 lr: 9.5584e-06  eta: 5 days, 12:30:12  time: 1.5444  data_time: 0.0259  memory: 25564  grad_norm: 2.7459  loss: 1.2198  caption_loss_cls: 2.1895  detection_loss_cls: 0.0306  detection_loss_reg: 0.3297  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4727  instance_segmentation_loss_cls: 0.0296  instance_segmentation_loss_reg: 0.3297  instance_segmentation_loss_poly: 0.8894
2024/01/08 03:10:48 - mmengine - INFO - Iter(train) [329500/640000]  base_lr: 9.5339e-05 lr: 9.5339e-06  eta: 5 days, 9:02:56  time: 1.5237  data_time: 0.0183  memory: 25568  grad_norm: 2.7611  loss: 1.2267  caption_loss_cls: 2.1877  detection_loss_cls: 0.0304  detection_loss_reg: 0.3269  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.4709  instance_segmentation_loss_cls: 0.0296  instance_segmentation_loss_reg: 0.3295  instance_segmentation_loss_poly: 0.8863
2024/01/08 03:23:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 03:23:45 - mmengine - INFO - Iter(train) [330000/640000]  base_lr: 9.5094e-05 lr: 9.5094e-06  eta: 5 days, 10:03:24  time: 1.5230  data_time: 0.0180  memory: 25568  grad_norm: 2.8079  loss: 1.2272  caption_loss_cls: 2.1799  detection_loss_cls: 0.0301  detection_loss_reg: 0.3269  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.4675  instance_segmentation_loss_cls: 0.0295  instance_segmentation_loss_reg: 0.3289  instance_segmentation_loss_poly: 0.8844
2024/01/08 03:23:45 - mmengine - INFO - Saving checkpoint at 330000 iterations
2024/01/08 03:36:52 - mmengine - INFO - Iter(train) [330500/640000]  base_lr: 9.4849e-05 lr: 9.4849e-06  eta: 5 days, 10:55:50  time: 1.5197  data_time: 0.0173  memory: 25568  grad_norm: 2.8484  loss: 1.2473  caption_loss_cls: 2.1777  detection_loss_cls: 0.0301  detection_loss_reg: 0.3272  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.4631  instance_segmentation_loss_cls: 0.0296  instance_segmentation_loss_reg: 0.3294  instance_segmentation_loss_poly: 0.8846
2024/01/08 03:49:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 03:49:53 - mmengine - INFO - Iter(train) [331000/640000]  base_lr: 9.4604e-05 lr: 9.4604e-06  eta: 5 days, 11:16:47  time: 1.5298  data_time: 0.0174  memory: 25568  grad_norm: 2.8086  loss: 1.2297  caption_loss_cls: 2.1689  detection_loss_cls: 0.0301  detection_loss_reg: 0.3287  semantic_segmentation_loss_cls: 0.0077  grounding_loss_reg: 2.4593  instance_segmentation_loss_cls: 0.0296  instance_segmentation_loss_reg: 0.3300  instance_segmentation_loss_poly: 0.8859
2024/01/08 04:02:48 - mmengine - INFO - Iter(train) [331500/640000]  base_lr: 9.4358e-05 lr: 9.4358e-06  eta: 5 days, 11:18:08  time: 1.5330  data_time: 0.0173  memory: 25568  grad_norm: 2.8026  loss: 1.2319  caption_loss_cls: 2.1683  detection_loss_cls: 0.0299  detection_loss_reg: 0.3261  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4567  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3301  instance_segmentation_loss_poly: 0.8864
2024/01/08 04:15:51 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 04:15:51 - mmengine - INFO - Iter(train) [332000/640000]  base_lr: 9.4113e-05 lr: 9.4113e-06  eta: 5 days, 11:26:26  time: 1.5363  data_time: 0.0171  memory: 25568  grad_norm: 2.7867  loss: 1.2266  caption_loss_cls: 2.1726  detection_loss_cls: 0.0298  detection_loss_reg: 0.3264  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4565  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3302  instance_segmentation_loss_poly: 0.8865
2024/01/08 04:15:51 - mmengine - INFO - Saving checkpoint at 332000 iterations
2024/01/08 04:28:48 - mmengine - INFO - Iter(train) [332500/640000]  base_lr: 9.3868e-05 lr: 9.3868e-06  eta: 5 days, 11:23:54  time: 1.5434  data_time: 0.0233  memory: 25568  grad_norm: 2.8301  loss: 1.2469  caption_loss_cls: 2.1680  detection_loss_cls: 0.0300  detection_loss_reg: 0.3289  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4539  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3297  instance_segmentation_loss_poly: 0.8858
2024/01/08 04:42:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 04:42:03 - mmengine - INFO - Iter(train) [333000/640000]  base_lr: 9.3623e-05 lr: 9.3623e-06  eta: 5 days, 11:36:56  time: 1.5574  data_time: 0.0234  memory: 25568  grad_norm: 2.8150  loss: 1.2324  caption_loss_cls: 2.1653  detection_loss_cls: 0.0300  detection_loss_reg: 0.3280  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4519  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3303  instance_segmentation_loss_poly: 0.8874
2024/01/08 04:55:55 - mmengine - INFO - Iter(train) [333500/640000]  base_lr: 9.3379e-05 lr: 9.3379e-06  eta: 5 days, 12:19:31  time: 1.5760  data_time: 0.0237  memory: 25568  grad_norm: 2.7917  loss: 1.2227  caption_loss_cls: 2.1639  detection_loss_cls: 0.0298  detection_loss_reg: 0.3265  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4502  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3306  instance_segmentation_loss_poly: 0.8864
2024/01/08 05:08:35 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 05:08:35 - mmengine - INFO - Iter(train) [334000/640000]  base_lr: 9.3134e-05 lr: 9.3134e-06  eta: 5 days, 11:52:11  time: 1.5719  data_time: 0.0237  memory: 25568  grad_norm: 2.7985  loss: 1.2181  caption_loss_cls: 2.1594  detection_loss_cls: 0.0297  detection_loss_reg: 0.3245  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4464  instance_segmentation_loss_cls: 0.0299  instance_segmentation_loss_reg: 0.3319  instance_segmentation_loss_poly: 0.8888
2024/01/08 05:08:35 - mmengine - INFO - Saving checkpoint at 334000 iterations
2024/01/08 05:21:50 - mmengine - INFO - Iter(train) [334500/640000]  base_lr: 9.2889e-05 lr: 9.2889e-06  eta: 5 days, 11:54:20  time: 1.5740  data_time: 0.0233  memory: 25568  grad_norm: 2.7951  loss: 1.2057  caption_loss_cls: 2.1521  detection_loss_cls: 0.0297  detection_loss_reg: 0.3249  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4399  instance_segmentation_loss_cls: 0.0299  instance_segmentation_loss_reg: 0.3315  instance_segmentation_loss_poly: 0.8879
2024/01/08 05:34:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 05:34:56 - mmengine - INFO - Iter(train) [335000/640000]  base_lr: 9.2644e-05 lr: 9.2644e-06  eta: 5 days, 11:47:11  time: 1.5750  data_time: 0.0231  memory: 25568  grad_norm: 2.8372  loss: 1.2140  caption_loss_cls: 2.1465  detection_loss_cls: 0.0297  detection_loss_reg: 0.3247  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4363  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3313  instance_segmentation_loss_poly: 0.8872
2024/01/08 05:47:27 - mmengine - INFO - Iter(train) [335500/640000]  base_lr: 9.2399e-05 lr: 9.2399e-06  eta: 5 days, 11:16:10  time: 1.5692  data_time: 0.0231  memory: 25568  grad_norm: 2.8898  loss: 1.2187  caption_loss_cls: 2.1474  detection_loss_cls: 0.0296  detection_loss_reg: 0.3249  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4321  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3315  instance_segmentation_loss_poly: 0.8866
2024/01/08 06:00:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 06:00:31 - mmengine - INFO - Iter(train) [336000/640000]  base_lr: 9.2155e-05 lr: 9.2155e-06  eta: 5 days, 11:07:59  time: 1.5695  data_time: 0.0232  memory: 25568  grad_norm: 2.8999  loss: 1.2176  caption_loss_cls: 2.1386  detection_loss_cls: 0.0296  detection_loss_reg: 0.3240  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4294  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3322  instance_segmentation_loss_poly: 0.8880
2024/01/08 06:00:31 - mmengine - INFO - Saving checkpoint at 336000 iterations
2024/01/08 06:13:57 - mmengine - INFO - Iter(train) [336500/640000]  base_lr: 9.1910e-05 lr: 9.1910e-06  eta: 5 days, 11:12:28  time: 1.5766  data_time: 0.0233  memory: 25568  grad_norm: 2.9379  loss: 1.2232  caption_loss_cls: 2.1373  detection_loss_cls: 0.0296  detection_loss_reg: 0.3235  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4264  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3313  instance_segmentation_loss_poly: 0.8867
2024/01/08 06:26:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 06:26:50 - mmengine - INFO - Iter(train) [337000/640000]  base_lr: 9.1665e-05 lr: 9.1665e-06  eta: 5 days, 10:56:21  time: 1.5711  data_time: 0.0233  memory: 25568  grad_norm: 2.9603  loss: 1.2302  caption_loss_cls: 2.1326  detection_loss_cls: 0.0294  detection_loss_reg: 0.3220  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4217  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3321  instance_segmentation_loss_poly: 0.8869
2024/01/08 06:39:48 - mmengine - INFO - Iter(train) [337500/640000]  base_lr: 9.1421e-05 lr: 9.1421e-06  eta: 5 days, 10:43:20  time: 1.5577  data_time: 0.0231  memory: 25568  grad_norm: 2.9720  loss: 1.2269  caption_loss_cls: 2.1284  detection_loss_cls: 0.0293  detection_loss_reg: 0.3211  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4192  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3316  instance_segmentation_loss_poly: 0.8859
2024/01/08 06:52:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 06:52:50 - mmengine - INFO - Iter(train) [338000/640000]  base_lr: 9.1176e-05 lr: 9.1176e-06  eta: 5 days, 10:32:28  time: 1.5632  data_time: 0.0232  memory: 25568  grad_norm: 2.9672  loss: 1.2327  caption_loss_cls: 2.1325  detection_loss_cls: 0.0294  detection_loss_reg: 0.3218  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4180  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3320  instance_segmentation_loss_poly: 0.8872
2024/01/08 06:52:50 - mmengine - INFO - Saving checkpoint at 338000 iterations
2024/01/08 07:06:25 - mmengine - INFO - Iter(train) [338500/640000]  base_lr: 9.0932e-05 lr: 9.0932e-06  eta: 5 days, 10:36:39  time: 1.5679  data_time: 0.0233  memory: 25568  grad_norm: 2.9429  loss: 1.2351  caption_loss_cls: 2.1361  detection_loss_cls: 0.0295  detection_loss_reg: 0.3240  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4143  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3326  instance_segmentation_loss_poly: 0.8883
2024/01/08 07:19:20 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 07:19:20 - mmengine - INFO - Iter(train) [339000/640000]  base_lr: 9.0687e-05 lr: 9.0687e-06  eta: 5 days, 10:21:30  time: 1.5654  data_time: 0.0233  memory: 25568  grad_norm: 2.9199  loss: 1.2318  caption_loss_cls: 2.1372  detection_loss_cls: 0.0295  detection_loss_reg: 0.3239  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.4105  instance_segmentation_loss_cls: 0.0300  instance_segmentation_loss_reg: 0.3335  instance_segmentation_loss_poly: 0.8897
2024/01/08 07:31:54 - mmengine - INFO - Iter(train) [339500/640000]  base_lr: 9.0443e-05 lr: 9.0443e-06  eta: 5 days, 9:57:18  time: 1.5661  data_time: 0.0233  memory: 25568  grad_norm: 2.9162  loss: 1.2214  caption_loss_cls: 2.1282  detection_loss_cls: 0.0295  detection_loss_reg: 0.3243  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.4046  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3328  instance_segmentation_loss_poly: 0.8866
2024/01/08 07:45:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 07:45:03 - mmengine - INFO - Iter(train) [340000/640000]  base_lr: 9.0199e-05 lr: 9.0199e-06  eta: 5 days, 9:48:24  time: 1.5673  data_time: 0.0232  memory: 25568  grad_norm: 2.9057  loss: 1.2307  caption_loss_cls: 2.1269  detection_loss_cls: 0.0296  detection_loss_reg: 0.3258  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4048  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3323  instance_segmentation_loss_poly: 0.8844
2024/01/08 07:45:03 - mmengine - INFO - Saving checkpoint at 340000 iterations
2024/01/08 07:56:30 - mmengine - INFO - Evaluating bbox...
2024/01/08 07:57:26 - mmengine - INFO - bbox_mAP_copypaste: 0.508 0.690 0.559 0.358 0.561 0.651
2024/01/08 07:57:26 - mmengine - INFO - Evaluating segm...
2024/01/08 07:58:39 - mmengine - INFO - segm_mAP_copypaste: 0.339 0.607 0.335 0.198 0.387 0.516
2024/01/08 08:00:49 - mmengine - INFO - Evaluating bbox...
2024/01/08 08:01:46 - mmengine - INFO - bbox_mAP_copypaste: 0.507 0.688 0.558 0.350 0.562 0.649
2024/01/08 08:07:17 - mmengine - INFO - per class results:
2024/01/08 08:07:17 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 77.76 | 86.23 |
|       building      | 81.22 | 88.94 |
|         sky         | 93.23 | 97.94 |
|        floor        | 81.82 | 90.65 |
|         tree        | 74.06 | 87.01 |
|       ceiling       | 82.56 | 97.55 |
|         road        |  85.2 | 91.24 |
|         bed         |  89.9 | 95.83 |
|      windowpane     | 63.09 | 83.01 |
|        grass        | 69.14 | 81.97 |
|       cabinet       | 61.69 |  71.6 |
|       sidewalk      |  69.5 | 77.29 |
|        person       | 80.84 | 90.72 |
|        earth        | 39.93 | 53.48 |
|         door        | 56.87 | 68.71 |
|        table        | 64.44 | 79.25 |
|       mountain      | 58.77 | 78.69 |
|        plant        | 53.94 | 65.06 |
|       curtain       | 75.46 | 89.39 |
|        chair        | 60.29 | 73.69 |
|         car         | 84.73 | 91.75 |
|        water        | 63.63 | 77.22 |
|       painting      | 72.34 | 87.21 |
|         sofa        |  70.4 | 79.66 |
|        shelf        |  48.6 | 74.17 |
|        house        | 41.55 | 67.97 |
|         sea         | 63.08 | 72.93 |
|        mirror       | 68.69 | 76.52 |
|         rug         | 67.55 | 79.33 |
|        field        | 29.46 | 41.64 |
|       armchair      | 49.25 | 74.48 |
|         seat        | 65.99 | 85.05 |
|        fence        | 46.14 | 65.14 |
|         desk        | 50.79 | 65.43 |
|         rock        | 44.24 | 68.61 |
|       wardrobe      | 49.11 | 73.91 |
|         lamp        | 65.34 | 78.33 |
|       bathtub       | 76.75 | 87.95 |
|       railing       | 39.83 | 56.88 |
|       cushion       | 63.55 | 76.77 |
|         base        | 26.22 | 40.13 |
|         box         | 24.84 | 32.26 |
|        column       | 46.26 | 74.95 |
|      signboard      |  38.2 |  52.4 |
|   chest of drawers  | 37.09 | 57.83 |
|       counter       | 30.52 | 48.96 |
|         sand        | 48.87 | 67.37 |
|         sink        | 75.15 | 81.58 |
|      skyscraper     | 44.17 | 58.47 |
|      fireplace      | 75.02 | 92.98 |
|     refrigerator    | 79.76 | 85.06 |
|      grandstand     | 48.82 | 76.78 |
|         path        | 22.24 | 34.51 |
|        stairs       | 36.75 | 51.96 |
|        runway       | 74.54 |  94.8 |
|         case        | 49.23 | 60.96 |
|      pool table     | 91.03 | 95.52 |
|        pillow       | 60.07 | 71.24 |
|     screen door     | 78.02 | 84.44 |
|       stairway      | 38.44 | 60.25 |
|        river        | 13.64 | 31.82 |
|        bridge       | 63.08 |  81.9 |
|       bookcase      | 39.69 | 47.41 |
|        blind        | 40.55 | 43.92 |
|     coffee table    | 61.69 | 84.11 |
|        toilet       |  86.3 | 91.37 |
|        flower       |  40.0 |  52.3 |
|         book        | 45.85 | 67.18 |
|         hill        | 14.12 | 26.63 |
|        bench        | 57.84 | 74.15 |
|      countertop     | 62.39 | 76.15 |
|        stove        | 78.73 | 83.41 |
|         palm        |  46.7 | 72.35 |
|    kitchen island   | 45.92 | 89.35 |
|       computer      | 77.55 | 86.85 |
|     swivel chair    | 45.65 | 59.52 |
|         boat        | 67.05 | 83.99 |
|         bar         | 37.35 | 47.86 |
|    arcade machine   | 75.19 | 86.04 |
|        hovel        | 23.57 | 29.04 |
|         bus         | 86.63 | 94.73 |
|        towel        | 65.74 | 76.73 |
|        light        | 50.57 | 56.74 |
|        truck        |  44.7 | 63.44 |
|        tower        | 39.71 | 68.85 |
|      chandelier     | 63.52 | 71.44 |
|        awning       |  32.0 | 45.39 |
|     streetlight     | 33.07 | 44.96 |
|        booth        | 45.61 | 73.68 |
| television receiver | 70.52 | 88.47 |
|       airplane      | 61.18 | 67.68 |
|      dirt track     |  3.51 | 11.07 |
|       apparel       | 28.11 | 47.59 |
|         pole        | 27.79 | 40.51 |
|         land        |  2.06 |  3.06 |
|      bannister      | 11.54 | 15.39 |
|      escalator      | 21.33 | 25.15 |
|       ottoman       | 55.87 | 70.16 |
|        bottle       | 22.24 | 28.56 |
|        buffet       | 54.73 | 66.05 |
|        poster       | 39.97 | 55.93 |
|        stage        | 11.66 | 16.16 |
|         van         | 44.86 | 62.27 |
|         ship        |  8.46 |  9.26 |
|       fountain      | 30.44 | 30.87 |
|    conveyer belt    | 73.96 |  92.4 |
|        canopy       | 36.73 | 44.84 |
|        washer       | 70.36 | 72.89 |
|      plaything      | 30.17 | 37.78 |
|    swimming pool    | 68.14 | 86.22 |
|        stool        | 43.86 |  61.6 |
|        barrel       | 12.14 | 66.59 |
|        basket       | 32.66 |  39.4 |
|      waterfall      | 72.14 | 87.24 |
|         tent        | 81.05 | 96.83 |
|         bag         | 17.51 | 20.76 |
|       minibike      |  72.8 | 84.81 |
|        cradle       | 77.79 | 96.55 |
|         oven        | 50.08 | 67.52 |
|         ball        | 49.41 | 64.33 |
|         food        | 54.95 | 62.33 |
|         step        | 12.23 | 17.89 |
|         tank        | 50.56 | 55.62 |
|      trade name     | 27.09 | 33.09 |
|      microwave      | 85.03 | 92.78 |
|         pot         | 47.59 | 59.46 |
|        animal       | 63.49 | 66.38 |
|       bicycle       | 55.25 | 65.12 |
|         lake        |  56.2 | 62.69 |
|      dishwasher     | 73.03 | 86.53 |
|        screen       | 62.75 |  79.5 |
|       blanket       | 21.54 | 27.15 |
|      sculpture      | 62.47 | 82.31 |
|         hood        | 57.57 | 72.08 |
|        sconce       | 45.49 | 55.26 |
|         vase        |  41.7 | 61.55 |
|    traffic light    | 38.42 | 52.67 |
|         tray        | 15.42 | 21.71 |
|        ashcan       | 42.04 | 50.87 |
|         fan         | 64.17 | 72.04 |
|         pier        | 46.02 | 63.95 |
|      crt screen     |  9.96 | 26.26 |
|        plate        | 58.51 |  77.8 |
|       monitor       | 20.25 | 25.54 |
|    bulletin board   | 46.57 | 49.34 |
|        shower       |  1.93 |  6.94 |
|       radiator      | 58.69 | 67.22 |
|        glass        | 18.48 | 20.03 |
|        clock        | 37.84 | 47.44 |
|         flag        | 48.19 | 57.89 |
+---------------------+-------+-------+
2024/01/08 08:07:31 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5070  coco/bbox_mAP_50: 0.6880  coco/bbox_mAP_75: 0.5580  coco/bbox_mAP_s: 0.3500  coco/bbox_mAP_m: 0.5620  coco/bbox_mAP_l: 0.6490  coco/segm_mAP: 0.3390  coco/segm_mAP_50: 0.6070  coco/segm_mAP_75: 0.3350  coco/segm_mAP_s: 0.1980  coco/segm_mAP_m: 0.3870  coco/segm_mAP_l: 0.5160  Bleu_1: 0.7555  Bleu_2: 0.5912  Bleu_3: 0.4501  Bleu_4: 0.3385  METEOR: 0.2718  ROUGE_L: 0.5575  CIDEr: 1.0927  SPICE: 0.1994  aAcc: 83.5900  mIoU: 51.3100  mAcc: 64.2700  visual-grounding/miou: 0.8086  visual-grounding/acc: 0.8716  data_time: 0.0308  time: 1.9221
2024/01/08 08:19:43 - mmengine - INFO - Iter(train) [340500/640000]  base_lr: 8.9955e-05 lr: 8.9955e-06  eta: 5 days, 9:17:38  time: 1.5494  data_time: 0.0176  memory: 34658  grad_norm: 2.8856  loss: 1.2170  caption_loss_cls: 2.1258  detection_loss_cls: 0.0294  detection_loss_reg: 0.3255  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.4058  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3320  instance_segmentation_loss_poly: 0.8840
2024/01/08 08:32:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 08:32:36 - mmengine - INFO - Iter(train) [341000/640000]  base_lr: 8.9710e-05 lr: 8.9710e-06  eta: 5 days, 9:03:07  time: 1.5495  data_time: 0.0178  memory: 25568  grad_norm: 2.8764  loss: 1.2054  caption_loss_cls: 2.1244  detection_loss_cls: 0.0290  detection_loss_reg: 0.3219  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.4035  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3337  instance_segmentation_loss_poly: 0.8871
2024/01/08 08:45:04 - mmengine - INFO - Iter(train) [341500/640000]  base_lr: 8.9466e-05 lr: 8.9466e-06  eta: 5 days, 8:39:13  time: 1.5419  data_time: 0.0180  memory: 25568  grad_norm: 2.9114  loss: 1.2036  caption_loss_cls: 2.1167  detection_loss_cls: 0.0289  detection_loss_reg: 0.3201  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3981  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3329  instance_segmentation_loss_poly: 0.8853
2024/01/08 08:57:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 08:57:31 - mmengine - INFO - Iter(train) [342000/640000]  base_lr: 8.9222e-05 lr: 8.9222e-06  eta: 5 days, 8:15:56  time: 1.5330  data_time: 0.0181  memory: 25568  grad_norm: 2.9520  loss: 1.1960  caption_loss_cls: 2.1054  detection_loss_cls: 0.0289  detection_loss_reg: 0.3201  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3946  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3327  instance_segmentation_loss_poly: 0.8849
2024/01/08 08:57:31 - mmengine - INFO - Saving checkpoint at 342000 iterations
2024/01/08 09:10:45 - mmengine - INFO - Iter(train) [342500/640000]  base_lr: 8.8978e-05 lr: 8.8978e-06  eta: 5 days, 8:09:40  time: 1.5281  data_time: 0.0196  memory: 25568  grad_norm: 2.9763  loss: 1.1936  caption_loss_cls: 2.1051  detection_loss_cls: 0.0287  detection_loss_reg: 0.3196  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3952  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3328  instance_segmentation_loss_poly: 0.8855
2024/01/08 09:23:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 09:23:44 - mmengine - INFO - Iter(train) [343000/640000]  base_lr: 8.8734e-05 lr: 8.8734e-06  eta: 5 days, 7:57:35  time: 1.5288  data_time: 0.0199  memory: 25568  grad_norm: 3.0350  loss: 1.1985  caption_loss_cls: 2.1010  detection_loss_cls: 0.0289  detection_loss_reg: 0.3216  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3937  instance_segmentation_loss_cls: 0.0296  instance_segmentation_loss_reg: 0.3322  instance_segmentation_loss_poly: 0.8841
2024/01/08 09:36:11 - mmengine - INFO - Iter(train) [343500/640000]  base_lr: 8.8491e-05 lr: 8.8491e-06  eta: 5 days, 7:35:34  time: 1.5271  data_time: 0.0201  memory: 25568  grad_norm: 3.0098  loss: 1.1979  caption_loss_cls: 2.1000  detection_loss_cls: 0.0288  detection_loss_reg: 0.3218  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3904  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3328  instance_segmentation_loss_poly: 0.8845
2024/01/08 09:49:04 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 09:49:04 - mmengine - INFO - Iter(train) [344000/640000]  base_lr: 8.8247e-05 lr: 8.8247e-06  eta: 5 days, 7:22:01  time: 1.5232  data_time: 0.0203  memory: 25568  grad_norm: 3.0039  loss: 1.1829  caption_loss_cls: 2.0903  detection_loss_cls: 0.0288  detection_loss_reg: 0.3220  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3952  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3322  instance_segmentation_loss_poly: 0.8827
2024/01/08 09:49:04 - mmengine - INFO - Saving checkpoint at 344000 iterations
2024/01/08 10:02:21 - mmengine - INFO - Iter(train) [344500/640000]  base_lr: 8.8003e-05 lr: 8.8003e-06  eta: 5 days, 7:15:49  time: 1.5389  data_time: 0.0271  memory: 25568  grad_norm: 2.9819  loss: 1.1871  caption_loss_cls: 2.0895  detection_loss_cls: 0.0288  detection_loss_reg: 0.3209  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3948  instance_segmentation_loss_cls: 0.0296  instance_segmentation_loss_reg: 0.3319  instance_segmentation_loss_poly: 0.8817
2024/01/08 10:14:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 10:14:49 - mmengine - INFO - Iter(train) [345000/640000]  base_lr: 8.7759e-05 lr: 8.7759e-06  eta: 5 days, 6:54:44  time: 1.5324  data_time: 0.0271  memory: 25568  grad_norm: 2.9668  loss: 1.1949  caption_loss_cls: 2.0907  detection_loss_cls: 0.0288  detection_loss_reg: 0.3210  semantic_segmentation_loss_cls: 0.0076  grounding_loss_reg: 2.3938  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3320  instance_segmentation_loss_poly: 0.8833
2024/01/08 10:27:18 - mmengine - INFO - Iter(train) [345500/640000]  base_lr: 8.7516e-05 lr: 8.7516e-06  eta: 5 days, 6:34:41  time: 1.5328  data_time: 0.0271  memory: 25568  grad_norm: 2.9261  loss: 1.2105  caption_loss_cls: 2.0865  detection_loss_cls: 0.0286  detection_loss_reg: 0.3202  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3914  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3315  instance_segmentation_loss_poly: 0.8820
2024/01/08 10:40:00 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 10:40:00 - mmengine - INFO - Iter(train) [346000/640000]  base_lr: 8.7272e-05 lr: 8.7272e-06  eta: 5 days, 6:18:37  time: 1.5366  data_time: 0.0271  memory: 25568  grad_norm: 2.8567  loss: 1.2110  caption_loss_cls: 2.0900  detection_loss_cls: 0.0286  detection_loss_reg: 0.3194  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3938  instance_segmentation_loss_cls: 0.0297  instance_segmentation_loss_reg: 0.3313  instance_segmentation_loss_poly: 0.8813
2024/01/08 10:40:00 - mmengine - INFO - Saving checkpoint at 346000 iterations
2024/01/08 10:54:07 - mmengine - INFO - Iter(train) [346500/640000]  base_lr: 8.7029e-05 lr: 8.7029e-06  eta: 5 days, 6:24:59  time: 1.5496  data_time: 0.0267  memory: 25568  grad_norm: 2.8825  loss: 1.2207  caption_loss_cls: 2.0887  detection_loss_cls: 0.0286  detection_loss_reg: 0.3194  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3963  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3313  instance_segmentation_loss_poly: 0.8802
2024/01/08 11:06:19 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 11:06:19 - mmengine - INFO - Iter(train) [347000/640000]  base_lr: 8.6786e-05 lr: 8.6786e-06  eta: 5 days, 6:00:52  time: 1.5381  data_time: 0.0266  memory: 25568  grad_norm: 2.8552  loss: 1.2217  caption_loss_cls: 2.0855  detection_loss_cls: 0.0287  detection_loss_reg: 0.3208  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3968  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3320  instance_segmentation_loss_poly: 0.8805
2024/01/08 11:19:19 - mmengine - INFO - Iter(train) [347500/640000]  base_lr: 8.6542e-05 lr: 8.6542e-06  eta: 5 days, 5:49:34  time: 1.5465  data_time: 0.0268  memory: 25568  grad_norm: 2.8092  loss: 1.2197  caption_loss_cls: 2.0850  detection_loss_cls: 0.0287  detection_loss_reg: 0.3206  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3944  instance_segmentation_loss_cls: 0.0300  instance_segmentation_loss_reg: 0.3339  instance_segmentation_loss_poly: 0.8847
2024/01/08 11:31:43 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 11:31:43 - mmengine - INFO - Iter(train) [348000/640000]  base_lr: 8.6299e-05 lr: 8.6299e-06  eta: 5 days, 5:28:59  time: 1.5390  data_time: 0.0266  memory: 25568  grad_norm: 2.8613  loss: 1.2307  caption_loss_cls: 2.0838  detection_loss_cls: 0.0287  detection_loss_reg: 0.3216  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3938  instance_segmentation_loss_cls: 0.0299  instance_segmentation_loss_reg: 0.3335  instance_segmentation_loss_poly: 0.8845
2024/01/08 11:31:43 - mmengine - INFO - Saving checkpoint at 348000 iterations
2024/01/08 11:44:59 - mmengine - INFO - Iter(train) [348500/640000]  base_lr: 8.6056e-05 lr: 8.6056e-06  eta: 5 days, 5:21:31  time: 1.5389  data_time: 0.0267  memory: 25568  grad_norm: 2.8382  loss: 1.2313  caption_loss_cls: 2.0849  detection_loss_cls: 0.0286  detection_loss_reg: 0.3226  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3962  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3328  instance_segmentation_loss_poly: 0.8831
2024/01/08 11:57:19 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 11:57:19 - mmengine - INFO - Iter(train) [349000/640000]  base_lr: 8.5813e-05 lr: 8.5813e-06  eta: 5 days, 5:00:38  time: 1.5370  data_time: 0.0266  memory: 25568  grad_norm: 2.8619  loss: 1.2312  caption_loss_cls: 2.0776  detection_loss_cls: 0.0286  detection_loss_reg: 0.3221  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3972  instance_segmentation_loss_cls: 0.0300  instance_segmentation_loss_reg: 0.3340  instance_segmentation_loss_poly: 0.8865
2024/01/08 12:10:03 - mmengine - INFO - Iter(train) [349500/640000]  base_lr: 8.5570e-05 lr: 8.5570e-06  eta: 5 days, 4:45:34  time: 1.5407  data_time: 0.0266  memory: 25568  grad_norm: 2.8899  loss: 1.2245  caption_loss_cls: 2.0807  detection_loss_cls: 0.0286  detection_loss_reg: 0.3225  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3992  instance_segmentation_loss_cls: 0.0298  instance_segmentation_loss_reg: 0.3322  instance_segmentation_loss_poly: 0.8816
2024/01/08 12:23:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 12:23:03 - mmengine - INFO - Iter(train) [350000/640000]  base_lr: 8.5327e-05 lr: 8.5327e-06  eta: 5 days, 4:34:03  time: 1.5450  data_time: 0.0265  memory: 25568  grad_norm: 2.9032  loss: 1.2139  caption_loss_cls: 2.0819  detection_loss_cls: 0.0286  detection_loss_reg: 0.3223  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3985  instance_segmentation_loss_cls: 0.0296  instance_segmentation_loss_reg: 0.3316  instance_segmentation_loss_poly: 0.8801
2024/01/08 12:23:03 - mmengine - INFO - Saving checkpoint at 350000 iterations
2024/01/08 12:36:16 - mmengine - INFO - Iter(train) [350500/640000]  base_lr: 8.5085e-05 lr: 8.5085e-06  eta: 5 days, 4:25:29  time: 1.5318  data_time: 0.0264  memory: 25568  grad_norm: 2.8821  loss: 1.1950  caption_loss_cls: 2.0806  detection_loss_cls: 0.0286  detection_loss_reg: 0.3216  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3975  instance_segmentation_loss_cls: 0.0295  instance_segmentation_loss_reg: 0.3303  instance_segmentation_loss_poly: 0.8766
2024/01/08 12:48:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 12:48:29 - mmengine - INFO - Iter(train) [351000/640000]  base_lr: 8.4842e-05 lr: 8.4842e-06  eta: 5 days, 4:03:57  time: 1.5320  data_time: 0.0264  memory: 25568  grad_norm: 2.8590  loss: 1.1982  caption_loss_cls: 2.0770  detection_loss_cls: 0.0287  detection_loss_reg: 0.3216  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.4012  instance_segmentation_loss_cls: 0.0295  instance_segmentation_loss_reg: 0.3311  instance_segmentation_loss_poly: 0.8783
2024/01/08 13:00:52 - mmengine - INFO - Iter(train) [351500/640000]  base_lr: 8.4600e-05 lr: 8.4600e-06  eta: 5 days, 3:44:58  time: 1.5225  data_time: 0.0262  memory: 25568  grad_norm: 2.9213  loss: 1.2078  caption_loss_cls: 2.0794  detection_loss_cls: 0.0286  detection_loss_reg: 0.3206  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.4000  instance_segmentation_loss_cls: 0.0296  instance_segmentation_loss_reg: 0.3306  instance_segmentation_loss_poly: 0.8779
2024/01/08 13:13:24 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 13:13:24 - mmengine - INFO - Iter(train) [352000/640000]  base_lr: 8.4357e-05 lr: 8.4357e-06  eta: 5 days, 3:27:54  time: 1.5246  data_time: 0.0264  memory: 25568  grad_norm: 2.9718  loss: 1.2185  caption_loss_cls: 2.0792  detection_loss_cls: 0.0287  detection_loss_reg: 0.3214  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3982  instance_segmentation_loss_cls: 0.0296  instance_segmentation_loss_reg: 0.3313  instance_segmentation_loss_poly: 0.8798
2024/01/08 13:13:24 - mmengine - INFO - Saving checkpoint at 352000 iterations
2024/01/08 13:26:33 - mmengine - INFO - Iter(train) [352500/640000]  base_lr: 8.4115e-05 lr: 8.4115e-06  eta: 5 days, 3:18:25  time: 1.5227  data_time: 0.0263  memory: 25568  grad_norm: 3.0093  loss: 1.2140  caption_loss_cls: 2.0755  detection_loss_cls: 0.0285  detection_loss_reg: 0.3210  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3979  instance_segmentation_loss_cls: 0.0295  instance_segmentation_loss_reg: 0.3306  instance_segmentation_loss_poly: 0.8778
2024/01/08 13:39:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 13:39:49 - mmengine - INFO - Iter(train) [353000/640000]  base_lr: 8.3872e-05 lr: 8.3872e-06  eta: 5 days, 3:10:07  time: 1.5368  data_time: 0.0265  memory: 25568  grad_norm: 2.9873  loss: 1.2096  caption_loss_cls: 2.0731  detection_loss_cls: 0.0284  detection_loss_reg: 0.3203  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.3987  instance_segmentation_loss_cls: 0.0296  instance_segmentation_loss_reg: 0.3322  instance_segmentation_loss_poly: 0.8812
2024/01/08 13:52:09 - mmengine - INFO - Iter(train) [353500/640000]  base_lr: 8.3630e-05 lr: 8.3630e-06  eta: 5 days, 2:51:03  time: 1.5308  data_time: 0.0265  memory: 25568  grad_norm: 3.0711  loss: 1.2080  caption_loss_cls: 2.0705  detection_loss_cls: 0.0285  detection_loss_reg: 0.3214  semantic_segmentation_loss_cls: 0.0075  grounding_loss_reg: 2.4003  instance_segmentation_loss_cls: 0.0293  instance_segmentation_loss_reg: 0.3304  instance_segmentation_loss_poly: 0.8767
2024/01/08 14:04:07 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 14:04:07 - mmengine - INFO - Iter(train) [354000/640000]  base_lr: 8.3388e-05 lr: 8.3388e-06  eta: 5 days, 2:28:13  time: 1.5153  data_time: 0.0264  memory: 25568  grad_norm: 3.1218  loss: 1.2295  caption_loss_cls: 2.0750  detection_loss_cls: 0.0285  detection_loss_reg: 0.3220  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.4007  instance_segmentation_loss_cls: 0.0294  instance_segmentation_loss_reg: 0.3311  instance_segmentation_loss_poly: 0.8786
2024/01/08 14:04:07 - mmengine - INFO - Saving checkpoint at 354000 iterations
2024/01/08 14:16:56 - mmengine - INFO - Iter(train) [354500/640000]  base_lr: 8.3146e-05 lr: 8.3146e-06  eta: 5 days, 2:14:59  time: 1.5092  data_time: 0.0265  memory: 25568  grad_norm: 3.1296  loss: 1.2442  caption_loss_cls: 2.0749  detection_loss_cls: 0.0285  detection_loss_reg: 0.3212  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.4014  instance_segmentation_loss_cls: 0.0293  instance_segmentation_loss_reg: 0.3309  instance_segmentation_loss_poly: 0.8778
2024/01/08 14:29:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 14:29:44 - mmengine - INFO - Iter(train) [355000/640000]  base_lr: 8.2904e-05 lr: 8.2904e-06  eta: 5 days, 2:01:42  time: 1.5181  data_time: 0.0265  memory: 25568  grad_norm: 3.1322  loss: 1.2358  caption_loss_cls: 2.0663  detection_loss_cls: 0.0285  detection_loss_reg: 0.3223  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.4026  instance_segmentation_loss_cls: 0.0290  instance_segmentation_loss_reg: 0.3289  instance_segmentation_loss_poly: 0.8738
2024/01/08 14:41:58 - mmengine - INFO - Iter(train) [355500/640000]  base_lr: 8.2663e-05 lr: 8.2663e-06  eta: 5 days, 1:42:25  time: 1.5157  data_time: 0.0265  memory: 25568  grad_norm: 3.1414  loss: 1.2379  caption_loss_cls: 2.0740  detection_loss_cls: 0.0286  detection_loss_reg: 0.3220  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.4008  instance_segmentation_loss_cls: 0.0289  instance_segmentation_loss_reg: 0.3283  instance_segmentation_loss_poly: 0.8738
2024/01/08 14:54:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 14:54:49 - mmengine - INFO - Iter(train) [356000/640000]  base_lr: 8.2421e-05 lr: 8.2421e-06  eta: 5 days, 1:29:39  time: 1.5206  data_time: 0.0264  memory: 25568  grad_norm: 3.0631  loss: 1.2293  caption_loss_cls: 2.0728  detection_loss_cls: 0.0286  detection_loss_reg: 0.3230  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.4013  instance_segmentation_loss_cls: 0.0289  instance_segmentation_loss_reg: 0.3279  instance_segmentation_loss_poly: 0.8731
2024/01/08 14:54:49 - mmengine - INFO - Saving checkpoint at 356000 iterations
2024/01/08 15:08:21 - mmengine - INFO - Iter(train) [356500/640000]  base_lr: 8.2179e-05 lr: 8.2179e-06  eta: 5 days, 1:23:43  time: 1.5263  data_time: 0.0264  memory: 25568  grad_norm: 3.0417  loss: 1.2279  caption_loss_cls: 2.0757  detection_loss_cls: 0.0285  detection_loss_reg: 0.3237  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.4002  instance_segmentation_loss_cls: 0.0287  instance_segmentation_loss_reg: 0.3265  instance_segmentation_loss_poly: 0.8701
2024/01/08 15:20:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 15:20:50 - mmengine - INFO - Iter(train) [357000/640000]  base_lr: 8.1938e-05 lr: 8.1938e-06  eta: 5 days, 1:07:21  time: 1.5146  data_time: 0.0263  memory: 25568  grad_norm: 3.0959  loss: 1.2290  caption_loss_cls: 2.0750  detection_loss_cls: 0.0285  detection_loss_reg: 0.3240  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.4005  instance_segmentation_loss_cls: 0.0285  instance_segmentation_loss_reg: 0.3255  instance_segmentation_loss_poly: 0.8671
2024/01/08 15:33:30 - mmengine - INFO - Iter(train) [357500/640000]  base_lr: 8.1696e-05 lr: 8.1696e-06  eta: 5 days, 0:52:43  time: 1.5195  data_time: 0.0265  memory: 25568  grad_norm: 3.0360  loss: 1.2250  caption_loss_cls: 2.0740  detection_loss_cls: 0.0286  detection_loss_reg: 0.3242  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.4000  instance_segmentation_loss_cls: 0.0285  instance_segmentation_loss_reg: 0.3260  instance_segmentation_loss_poly: 0.8680
2024/01/08 15:46:59 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 15:46:59 - mmengine - INFO - Iter(train) [358000/640000]  base_lr: 8.1455e-05 lr: 8.1455e-06  eta: 5 days, 0:45:55  time: 1.5423  data_time: 0.0268  memory: 25568  grad_norm: 3.0221  loss: 1.2116  caption_loss_cls: 2.0690  detection_loss_cls: 0.0287  detection_loss_reg: 0.3253  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.3981  instance_segmentation_loss_cls: 0.0285  instance_segmentation_loss_reg: 0.3265  instance_segmentation_loss_poly: 0.8691
2024/01/08 15:46:59 - mmengine - INFO - Saving checkpoint at 358000 iterations
2024/01/08 15:59:48 - mmengine - INFO - Iter(train) [358500/640000]  base_lr: 8.1214e-05 lr: 8.1214e-06  eta: 5 days, 0:32:49  time: 1.5425  data_time: 0.0268  memory: 25568  grad_norm: 3.1305  loss: 1.2163  caption_loss_cls: 2.0725  detection_loss_cls: 0.0287  detection_loss_reg: 0.3250  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.4009  instance_segmentation_loss_cls: 0.0284  instance_segmentation_loss_reg: 0.3260  instance_segmentation_loss_poly: 0.8680
2024/01/08 16:12:43 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 16:12:43 - mmengine - INFO - Iter(train) [359000/640000]  base_lr: 8.0973e-05 lr: 8.0973e-06  eta: 5 days, 0:20:28  time: 1.5440  data_time: 0.0269  memory: 25568  grad_norm: 3.1933  loss: 1.2254  caption_loss_cls: 2.0749  detection_loss_cls: 0.0288  detection_loss_reg: 0.3257  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.4014  instance_segmentation_loss_cls: 0.0284  instance_segmentation_loss_reg: 0.3263  instance_segmentation_loss_poly: 0.8685
2024/01/08 16:24:52 - mmengine - INFO - Iter(train) [359500/640000]  base_lr: 8.0732e-05 lr: 8.0732e-06  eta: 5 days, 0:01:22  time: 1.5428  data_time: 0.0269  memory: 25568  grad_norm: 3.2100  loss: 1.2176  caption_loss_cls: 2.0729  detection_loss_cls: 0.0288  detection_loss_reg: 0.3257  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.3997  instance_segmentation_loss_cls: 0.0283  instance_segmentation_loss_reg: 0.3250  instance_segmentation_loss_poly: 0.8666
2024/01/08 16:38:08 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 16:38:08 - mmengine - INFO - Iter(train) [360000/640000]  base_lr: 8.0491e-05 lr: 8.0491e-06  eta: 4 days, 23:52:18  time: 1.5492  data_time: 0.0269  memory: 25568  grad_norm: 3.2180  loss: 1.2066  caption_loss_cls: 2.0700  detection_loss_cls: 0.0285  detection_loss_reg: 0.3244  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3956  instance_segmentation_loss_cls: 0.0285  instance_segmentation_loss_reg: 0.3262  instance_segmentation_loss_poly: 0.8693
2024/01/08 16:38:08 - mmengine - INFO - Saving checkpoint at 360000 iterations
2024/01/08 16:49:59 - mmengine - INFO - Evaluating bbox...
2024/01/08 16:50:57 - mmengine - INFO - bbox_mAP_copypaste: 0.511 0.691 0.561 0.358 0.561 0.656
2024/01/08 16:50:57 - mmengine - INFO - Evaluating segm...
2024/01/08 16:52:11 - mmengine - INFO - segm_mAP_copypaste: 0.341 0.608 0.335 0.195 0.387 0.522
2024/01/08 16:54:19 - mmengine - INFO - Evaluating bbox...
2024/01/08 16:55:18 - mmengine - INFO - bbox_mAP_copypaste: 0.509 0.691 0.561 0.357 0.560 0.656
2024/01/08 17:01:55 - mmengine - INFO - per class results:
2024/01/08 17:01:55 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 78.45 |  88.6 |
|       building      | 82.28 | 92.01 |
|         sky         | 93.36 | 97.72 |
|        floor        | 82.74 | 90.23 |
|         tree        | 74.43 | 87.81 |
|       ceiling       | 86.15 | 92.98 |
|         road        | 84.01 | 89.52 |
|         bed         | 90.51 | 95.36 |
|      windowpane     | 63.59 |  81.6 |
|        grass        | 64.54 | 78.97 |
|       cabinet       | 62.72 | 75.32 |
|       sidewalk      |  67.7 | 82.36 |
|        person       | 82.02 | 91.44 |
|        earth        | 36.88 | 47.13 |
|         door        | 55.12 | 74.74 |
|        table        | 63.21 | 80.66 |
|       mountain      | 53.94 |  64.8 |
|        plant        | 51.92 | 63.51 |
|       curtain       | 76.24 | 87.71 |
|        chair        | 61.35 | 72.56 |
|         car         | 84.71 | 91.49 |
|        water        | 62.35 | 73.97 |
|       painting      | 71.89 | 88.87 |
|         sofa        | 70.81 | 80.18 |
|        shelf        | 45.37 | 71.41 |
|        house        | 46.53 |  63.4 |
|         sea         | 62.26 | 78.13 |
|        mirror       | 66.74 | 75.54 |
|         rug         |  67.2 | 79.29 |
|        field        | 31.95 | 60.69 |
|       armchair      | 51.48 | 71.43 |
|         seat        | 66.29 | 80.39 |
|        fence        | 45.65 |  64.8 |
|         desk        | 54.57 | 70.31 |
|         rock        | 48.09 |  70.3 |
|       wardrobe      | 47.87 | 72.52 |
|         lamp        |  63.5 | 79.65 |
|       bathtub       | 80.57 | 90.35 |
|       railing       | 42.67 | 55.87 |
|       cushion       | 63.51 | 79.54 |
|         base        | 22.92 |  33.5 |
|         box         | 28.76 | 39.08 |
|        column       | 56.58 | 69.53 |
|      signboard      | 37.87 | 55.24 |
|   chest of drawers  | 34.77 | 46.11 |
|       counter       | 27.62 | 38.69 |
|         sand        | 43.58 |  63.7 |
|         sink        |  77.6 | 84.31 |
|      skyscraper     | 48.49 |  61.4 |
|      fireplace      |  74.8 | 85.41 |
|     refrigerator    | 70.76 |  81.1 |
|      grandstand     | 52.21 | 78.38 |
|         path        | 19.57 | 35.07 |
|        stairs       | 41.54 | 52.53 |
|        runway       | 74.93 | 96.31 |
|         case        | 53.36 | 62.18 |
|      pool table     | 91.88 | 95.09 |
|        pillow       | 61.41 | 72.23 |
|     screen door     | 67.14 | 71.77 |
|       stairway      | 33.93 | 38.83 |
|        river        | 15.07 | 32.62 |
|        bridge       | 66.75 | 75.24 |
|       bookcase      | 40.16 | 54.91 |
|        blind        | 40.78 | 43.55 |
|     coffee table    | 64.46 | 77.53 |
|        toilet       | 85.77 | 91.12 |
|        flower       | 38.85 | 52.26 |
|         book        | 45.58 | 63.31 |
|         hill        | 13.63 | 19.68 |
|        bench        | 58.42 | 73.69 |
|      countertop     | 58.67 | 81.16 |
|        stove        | 79.61 | 85.74 |
|         palm        | 48.43 | 73.78 |
|    kitchen island   | 42.72 | 56.58 |
|       computer      | 75.36 | 87.63 |
|     swivel chair    | 49.53 | 68.77 |
|         boat        | 57.07 | 73.31 |
|         bar         | 33.04 |  43.7 |
|    arcade machine   | 31.93 | 33.17 |
|        hovel        | 17.65 | 19.27 |
|         bus         | 91.55 | 93.48 |
|        towel        |  68.6 | 80.98 |
|        light        | 54.56 | 65.98 |
|        truck        | 48.68 | 61.38 |
|        tower        | 33.85 | 54.93 |
|      chandelier     | 66.65 | 81.07 |
|        awning       | 29.16 | 39.33 |
|     streetlight     | 32.48 | 44.24 |
|        booth        | 37.55 | 58.95 |
| television receiver | 76.11 |  82.1 |
|       airplane      | 72.48 | 78.63 |
|      dirt track     |  9.27 | 30.45 |
|       apparel       |  32.8 | 53.64 |
|         pole        | 26.44 | 38.05 |
|         land        |  0.75 |  1.0  |
|      bannister      | 16.55 | 24.66 |
|      escalator      |  27.7 | 31.21 |
|       ottoman       | 51.48 | 68.11 |
|        bottle       | 25.68 | 33.67 |
|        buffet       | 51.39 | 62.38 |
|        poster       | 35.65 | 52.38 |
|        stage        | 10.61 | 16.63 |
|         van         | 44.41 | 57.14 |
|         ship        | 59.13 | 68.79 |
|       fountain      |  25.9 | 26.29 |
|    conveyer belt    | 65.95 | 91.92 |
|        canopy       | 40.67 | 51.67 |
|        washer       | 69.89 | 72.34 |
|      plaything      | 28.41 | 36.38 |
|    swimming pool    |  61.5 | 67.46 |
|        stool        | 44.05 | 69.03 |
|        barrel       | 15.59 | 66.63 |
|        basket       | 36.63 | 48.24 |
|      waterfall      | 63.93 | 92.59 |
|         tent        |  77.2 | 97.06 |
|         bag         | 21.52 | 27.41 |
|       minibike      | 72.77 | 84.66 |
|        cradle       | 80.65 | 97.33 |
|         oven        | 45.69 | 54.52 |
|         ball        | 47.77 | 57.62 |
|         food        | 53.39 | 57.37 |
|         step        |  8.71 | 11.43 |
|         tank        | 54.12 | 58.01 |
|      trade name     | 25.22 | 29.36 |
|      microwave      | 85.69 | 94.01 |
|         pot         |  50.1 |  58.9 |
|        animal       | 61.37 | 64.96 |
|       bicycle       | 57.36 |  69.4 |
|         lake        | 52.84 | 62.96 |
|      dishwasher     | 72.22 | 83.41 |
|        screen       | 67.83 | 83.62 |
|       blanket       | 35.01 | 47.15 |
|      sculpture      | 66.71 | 79.39 |
|         hood        | 61.59 | 73.35 |
|        sconce       | 41.13 | 69.37 |
|         vase        | 44.34 | 64.36 |
|    traffic light    | 40.38 | 54.77 |
|         tray        | 17.47 | 32.39 |
|        ashcan       | 40.37 | 53.71 |
|         fan         | 64.37 | 74.98 |
|         pier        | 41.65 | 56.85 |
|      crt screen     |  5.05 | 14.04 |
|        plate        | 59.16 | 77.01 |
|       monitor       | 15.41 | 17.32 |
|    bulletin board   | 47.83 | 57.11 |
|        shower       |  1.28 |  1.3  |
|       radiator      | 62.29 | 78.27 |
|        glass        | 15.86 |  17.1 |
|        clock        | 35.15 |  41.1 |
|         flag        | 42.71 | 49.89 |
+---------------------+-------+-------+
2024/01/08 17:02:07 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5090  coco/bbox_mAP_50: 0.6910  coco/bbox_mAP_75: 0.5610  coco/bbox_mAP_s: 0.3570  coco/bbox_mAP_m: 0.5600  coco/bbox_mAP_l: 0.6560  coco/segm_mAP: 0.3410  coco/segm_mAP_50: 0.6080  coco/segm_mAP_75: 0.3350  coco/segm_mAP_s: 0.1950  coco/segm_mAP_m: 0.3870  coco/segm_mAP_l: 0.5220  Bleu_1: 0.7601  Bleu_2: 0.5952  Bleu_3: 0.4541  Bleu_4: 0.3430  METEOR: 0.2734  ROUGE_L: 0.5616  CIDEr: 1.1004  SPICE: 0.2023  aAcc: 83.7900  mIoU: 51.3100  mAcc: 63.6900  visual-grounding/miou: 0.8138  visual-grounding/acc: 0.8771  data_time: 0.0115  time: 1.9016
2024/01/08 17:14:37 - mmengine - INFO - Iter(train) [360500/640000]  base_lr: 8.0251e-05 lr: 8.0251e-06  eta: 4 days, 23:36:44  time: 1.5342  data_time: 0.0203  memory: 34658  grad_norm: 3.2730  loss: 1.2024  caption_loss_cls: 2.0719  detection_loss_cls: 0.0285  detection_loss_reg: 0.3239  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.3934  instance_segmentation_loss_cls: 0.0284  instance_segmentation_loss_reg: 0.3259  instance_segmentation_loss_poly: 0.8693
2024/01/08 17:27:13 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 17:27:13 - mmengine - INFO - Iter(train) [361000/640000]  base_lr: 8.0010e-05 lr: 8.0010e-06  eta: 4 days, 23:21:47  time: 1.5357  data_time: 0.0204  memory: 25567  grad_norm: 3.2648  loss: 1.2161  caption_loss_cls: 2.0778  detection_loss_cls: 0.0287  detection_loss_reg: 0.3254  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.3900  instance_segmentation_loss_cls: 0.0286  instance_segmentation_loss_reg: 0.3263  instance_segmentation_loss_poly: 0.8705
2024/01/08 17:40:03 - mmengine - INFO - Iter(train) [361500/640000]  base_lr: 7.9770e-05 lr: 7.9770e-06  eta: 4 days, 23:08:59  time: 1.5385  data_time: 0.0204  memory: 25567  grad_norm: 3.2453  loss: 1.2233  caption_loss_cls: 2.0844  detection_loss_cls: 0.0289  detection_loss_reg: 0.3280  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.3898  instance_segmentation_loss_cls: 0.0286  instance_segmentation_loss_reg: 0.3276  instance_segmentation_loss_poly: 0.8736
2024/01/08 17:52:33 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 17:52:33 - mmengine - INFO - Iter(train) [362000/640000]  base_lr: 7.9530e-05 lr: 7.9530e-06  eta: 4 days, 22:53:23  time: 1.5238  data_time: 0.0201  memory: 25567  grad_norm: 3.2667  loss: 1.2192  caption_loss_cls: 2.0891  detection_loss_cls: 0.0289  detection_loss_reg: 0.3297  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3874  instance_segmentation_loss_cls: 0.0287  instance_segmentation_loss_reg: 0.3274  instance_segmentation_loss_poly: 0.8735
2024/01/08 17:52:33 - mmengine - INFO - Saving checkpoint at 362000 iterations
2024/01/08 18:05:31 - mmengine - INFO - Iter(train) [362500/640000]  base_lr: 7.9289e-05 lr: 7.9289e-06  eta: 4 days, 22:41:32  time: 1.5258  data_time: 0.0204  memory: 25567  grad_norm: 3.1623  loss: 1.2157  caption_loss_cls: 2.0861  detection_loss_cls: 0.0290  detection_loss_reg: 0.3313  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3844  instance_segmentation_loss_cls: 0.0288  instance_segmentation_loss_reg: 0.3278  instance_segmentation_loss_poly: 0.8721
2024/01/08 18:18:02 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 18:18:02 - mmengine - INFO - Iter(train) [363000/640000]  base_lr: 7.9049e-05 lr: 7.9049e-06  eta: 4 days, 22:26:12  time: 1.5200  data_time: 0.0203  memory: 25567  grad_norm: 3.0834  loss: 1.2054  caption_loss_cls: 2.0907  detection_loss_cls: 0.0289  detection_loss_reg: 0.3305  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3818  instance_segmentation_loss_cls: 0.0288  instance_segmentation_loss_reg: 0.3289  instance_segmentation_loss_poly: 0.8735
2024/01/08 18:30:38 - mmengine - INFO - Iter(train) [363500/640000]  base_lr: 7.8809e-05 lr: 7.8809e-06  eta: 4 days, 22:11:35  time: 1.5268  data_time: 0.0204  memory: 25567  grad_norm: 3.0209  loss: 1.2057  caption_loss_cls: 2.0922  detection_loss_cls: 0.0291  detection_loss_reg: 0.3320  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3797  instance_segmentation_loss_cls: 0.0289  instance_segmentation_loss_reg: 0.3295  instance_segmentation_loss_poly: 0.8745
2024/01/08 18:43:18 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 18:43:18 - mmengine - INFO - Iter(train) [364000/640000]  base_lr: 7.8570e-05 lr: 7.8570e-06  eta: 4 days, 21:57:30  time: 1.5176  data_time: 0.0203  memory: 25567  grad_norm: 3.0137  loss: 1.2125  caption_loss_cls: 2.0935  detection_loss_cls: 0.0291  detection_loss_reg: 0.3322  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.3761  instance_segmentation_loss_cls: 0.0287  instance_segmentation_loss_reg: 0.3279  instance_segmentation_loss_poly: 0.8716
2024/01/08 18:43:18 - mmengine - INFO - Saving checkpoint at 364000 iterations
2024/01/08 18:56:36 - mmengine - INFO - Iter(train) [364500/640000]  base_lr: 7.8330e-05 lr: 7.8330e-06  eta: 4 days, 21:48:11  time: 1.5290  data_time: 0.0271  memory: 25567  grad_norm: 2.9864  loss: 1.2246  caption_loss_cls: 2.0940  detection_loss_cls: 0.0292  detection_loss_reg: 0.3333  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3743  instance_segmentation_loss_cls: 0.0288  instance_segmentation_loss_reg: 0.3295  instance_segmentation_loss_poly: 0.8741
2024/01/08 19:09:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 19:09:39 - mmengine - INFO - Iter(train) [365000/640000]  base_lr: 7.8090e-05 lr: 7.8090e-06  eta: 4 days, 21:36:58  time: 1.5359  data_time: 0.0270  memory: 25567  grad_norm: 2.9384  loss: 1.1963  caption_loss_cls: 2.0887  detection_loss_cls: 0.0292  detection_loss_reg: 0.3337  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3715  instance_segmentation_loss_cls: 0.0285  instance_segmentation_loss_reg: 0.3255  instance_segmentation_loss_poly: 0.8652
2024/01/08 19:22:17 - mmengine - INFO - Iter(train) [365500/640000]  base_lr: 7.7851e-05 lr: 7.7851e-06  eta: 4 days, 21:22:40  time: 1.5327  data_time: 0.0269  memory: 25567  grad_norm: 2.9434  loss: 1.1944  caption_loss_cls: 2.0884  detection_loss_cls: 0.0292  detection_loss_reg: 0.3332  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3662  instance_segmentation_loss_cls: 0.0285  instance_segmentation_loss_reg: 0.3265  instance_segmentation_loss_poly: 0.8668
2024/01/08 19:34:42 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 19:34:42 - mmengine - INFO - Iter(train) [366000/640000]  base_lr: 7.7612e-05 lr: 7.7612e-06  eta: 4 days, 21:06:47  time: 1.5313  data_time: 0.0269  memory: 25567  grad_norm: 2.9052  loss: 1.1926  caption_loss_cls: 2.0874  detection_loss_cls: 0.0292  detection_loss_reg: 0.3337  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3623  instance_segmentation_loss_cls: 0.0283  instance_segmentation_loss_reg: 0.3256  instance_segmentation_loss_poly: 0.8642
2024/01/08 19:34:42 - mmengine - INFO - Saving checkpoint at 366000 iterations
2024/01/08 19:48:08 - mmengine - INFO - Iter(train) [366500/640000]  base_lr: 7.7373e-05 lr: 7.7373e-06  eta: 4 days, 20:58:15  time: 1.5385  data_time: 0.0270  memory: 25567  grad_norm: 2.9380  loss: 1.1908  caption_loss_cls: 2.0860  detection_loss_cls: 0.0293  detection_loss_reg: 0.3353  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3616  instance_segmentation_loss_cls: 0.0282  instance_segmentation_loss_reg: 0.3262  instance_segmentation_loss_poly: 0.8638
2024/01/08 20:00:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 20:00:22 - mmengine - INFO - Iter(train) [367000/640000]  base_lr: 7.7134e-05 lr: 7.7134e-06  eta: 4 days, 20:41:15  time: 1.5343  data_time: 0.0270  memory: 25567  grad_norm: 3.0094  loss: 1.1986  caption_loss_cls: 2.0790  detection_loss_cls: 0.0295  detection_loss_reg: 0.3363  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3586  instance_segmentation_loss_cls: 0.0283  instance_segmentation_loss_reg: 0.3275  instance_segmentation_loss_poly: 0.8663
2024/01/08 20:13:17 - mmengine - INFO - Iter(train) [367500/640000]  base_lr: 7.6895e-05 lr: 7.6895e-06  eta: 4 days, 20:29:01  time: 1.5389  data_time: 0.0271  memory: 25567  grad_norm: 2.9966  loss: 1.1880  caption_loss_cls: 2.0765  detection_loss_cls: 0.0294  detection_loss_reg: 0.3363  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3592  instance_segmentation_loss_cls: 0.0283  instance_segmentation_loss_reg: 0.3269  instance_segmentation_loss_poly: 0.8660
2024/01/08 20:26:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 20:26:03 - mmengine - INFO - Iter(train) [368000/640000]  base_lr: 7.6656e-05 lr: 7.6656e-06  eta: 4 days, 20:15:47  time: 1.5405  data_time: 0.0272  memory: 25567  grad_norm: 3.0062  loss: 1.1886  caption_loss_cls: 2.0752  detection_loss_cls: 0.0294  detection_loss_reg: 0.3354  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3562  instance_segmentation_loss_cls: 0.0283  instance_segmentation_loss_reg: 0.3273  instance_segmentation_loss_poly: 0.8672
2024/01/08 20:26:03 - mmengine - INFO - Saving checkpoint at 368000 iterations
2024/01/08 20:38:59 - mmengine - INFO - Iter(train) [368500/640000]  base_lr: 7.6417e-05 lr: 7.6417e-06  eta: 4 days, 20:03:41  time: 1.5352  data_time: 0.0270  memory: 25567  grad_norm: 2.9685  loss: 1.1777  caption_loss_cls: 2.0691  detection_loss_cls: 0.0294  detection_loss_reg: 0.3348  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3600  instance_segmentation_loss_cls: 0.0283  instance_segmentation_loss_reg: 0.3284  instance_segmentation_loss_poly: 0.8694
2024/01/08 20:51:26 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 20:51:26 - mmengine - INFO - Iter(train) [369000/640000]  base_lr: 7.6179e-05 lr: 7.6179e-06  eta: 4 days, 19:48:22  time: 1.5262  data_time: 0.0270  memory: 25567  grad_norm: 3.0037  loss: 1.1983  caption_loss_cls: 2.0688  detection_loss_cls: 0.0292  detection_loss_reg: 0.3344  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3577  instance_segmentation_loss_cls: 0.0284  instance_segmentation_loss_reg: 0.3283  instance_segmentation_loss_poly: 0.8690
2024/01/08 21:04:04 - mmengine - INFO - Iter(train) [369500/640000]  base_lr: 7.5941e-05 lr: 7.5941e-06  eta: 4 days, 19:34:12  time: 1.5259  data_time: 0.0271  memory: 25567  grad_norm: 3.0043  loss: 1.2023  caption_loss_cls: 2.0701  detection_loss_cls: 0.0293  detection_loss_reg: 0.3347  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.3550  instance_segmentation_loss_cls: 0.0285  instance_segmentation_loss_reg: 0.3299  instance_segmentation_loss_poly: 0.8718
2024/01/08 21:16:32 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 21:16:32 - mmengine - INFO - Iter(train) [370000/640000]  base_lr: 7.5702e-05 lr: 7.5702e-06  eta: 4 days, 19:19:10  time: 1.5270  data_time: 0.0272  memory: 25567  grad_norm: 3.0633  loss: 1.2136  caption_loss_cls: 2.0747  detection_loss_cls: 0.0292  detection_loss_reg: 0.3342  semantic_segmentation_loss_cls: 0.0074  grounding_loss_reg: 2.3536  instance_segmentation_loss_cls: 0.0285  instance_segmentation_loss_reg: 0.3314  instance_segmentation_loss_poly: 0.8754
2024/01/08 21:16:32 - mmengine - INFO - Saving checkpoint at 370000 iterations
2024/01/08 21:29:43 - mmengine - INFO - Iter(train) [370500/640000]  base_lr: 7.5464e-05 lr: 7.5464e-06  eta: 4 days, 19:08:41  time: 1.5233  data_time: 0.0270  memory: 25567  grad_norm: 3.0297  loss: 1.2080  caption_loss_cls: 2.0765  detection_loss_cls: 0.0292  detection_loss_reg: 0.3328  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3518  instance_segmentation_loss_cls: 0.0287  instance_segmentation_loss_reg: 0.3313  instance_segmentation_loss_poly: 0.8755
2024/01/08 21:42:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 21:42:39 - mmengine - INFO - Iter(train) [371000/640000]  base_lr: 7.5227e-05 lr: 7.5227e-06  eta: 4 days, 18:56:30  time: 1.5335  data_time: 0.0271  memory: 25567  grad_norm: 3.0130  loss: 1.2047  caption_loss_cls: 2.0738  detection_loss_cls: 0.0292  detection_loss_reg: 0.3330  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3483  instance_segmentation_loss_cls: 0.0286  instance_segmentation_loss_reg: 0.3308  instance_segmentation_loss_poly: 0.8746
2024/01/08 21:55:27 - mmengine - INFO - Iter(train) [371500/640000]  base_lr: 7.4989e-05 lr: 7.4989e-06  eta: 4 days, 18:43:32  time: 1.5318  data_time: 0.0270  memory: 25567  grad_norm: 3.0231  loss: 1.2050  caption_loss_cls: 2.0742  detection_loss_cls: 0.0289  detection_loss_reg: 0.3330  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3472  instance_segmentation_loss_cls: 0.0285  instance_segmentation_loss_reg: 0.3314  instance_segmentation_loss_poly: 0.8758
2024/01/08 22:08:18 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 22:08:18 - mmengine - INFO - Iter(train) [372000/640000]  base_lr: 7.4751e-05 lr: 7.4751e-06  eta: 4 days, 18:30:51  time: 1.5330  data_time: 0.0270  memory: 25567  grad_norm: 3.1733  loss: 1.2047  caption_loss_cls: 2.0795  detection_loss_cls: 0.0289  detection_loss_reg: 0.3337  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3445  instance_segmentation_loss_cls: 0.0283  instance_segmentation_loss_reg: 0.3304  instance_segmentation_loss_poly: 0.8731
2024/01/08 22:08:18 - mmengine - INFO - Saving checkpoint at 372000 iterations
2024/01/08 22:21:42 - mmengine - INFO - Iter(train) [372500/640000]  base_lr: 7.4514e-05 lr: 7.4514e-06  eta: 4 days, 18:21:29  time: 1.5400  data_time: 0.0270  memory: 25567  grad_norm: 3.1747  loss: 1.1974  caption_loss_cls: 2.0752  detection_loss_cls: 0.0288  detection_loss_reg: 0.3328  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3409  instance_segmentation_loss_cls: 0.0284  instance_segmentation_loss_reg: 0.3296  instance_segmentation_loss_poly: 0.8720
2024/01/08 22:34:17 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 22:34:17 - mmengine - INFO - Iter(train) [373000/640000]  base_lr: 7.4277e-05 lr: 7.4277e-06  eta: 4 days, 18:07:15  time: 1.5420  data_time: 0.0271  memory: 25567  grad_norm: 3.1743  loss: 1.2025  caption_loss_cls: 2.0806  detection_loss_cls: 0.0288  detection_loss_reg: 0.3333  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3366  instance_segmentation_loss_cls: 0.0284  instance_segmentation_loss_reg: 0.3307  instance_segmentation_loss_poly: 0.8752
2024/01/08 22:47:22 - mmengine - INFO - Iter(train) [373500/640000]  base_lr: 7.4040e-05 lr: 7.4040e-06  eta: 4 days, 17:55:55  time: 1.5490  data_time: 0.0272  memory: 25567  grad_norm: 3.1518  loss: 1.1928  caption_loss_cls: 2.0808  detection_loss_cls: 0.0288  detection_loss_reg: 0.3325  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3324  instance_segmentation_loss_cls: 0.0284  instance_segmentation_loss_reg: 0.3301  instance_segmentation_loss_poly: 0.8749
2024/01/08 23:00:01 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 23:00:01 - mmengine - INFO - Iter(train) [374000/640000]  base_lr: 7.3803e-05 lr: 7.3803e-06  eta: 4 days, 17:41:58  time: 1.5514  data_time: 0.0271  memory: 25567  grad_norm: 3.1197  loss: 1.1781  caption_loss_cls: 2.0773  detection_loss_cls: 0.0288  detection_loss_reg: 0.3331  semantic_segmentation_loss_cls: 0.0073  grounding_loss_reg: 2.3309  instance_segmentation_loss_cls: 0.0282  instance_segmentation_loss_reg: 0.3283  instance_segmentation_loss_poly: 0.8715
2024/01/08 23:00:01 - mmengine - INFO - Saving checkpoint at 374000 iterations
2024/01/08 23:13:22 - mmengine - INFO - Iter(train) [374500/640000]  base_lr: 7.3566e-05 lr: 7.3566e-06  eta: 4 days, 17:32:10  time: 1.5539  data_time: 0.0271  memory: 25567  grad_norm: 3.0797  loss: 1.1737  caption_loss_cls: 2.0777  detection_loss_cls: 0.0289  detection_loss_reg: 0.3333  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3326  instance_segmentation_loss_cls: 0.0281  instance_segmentation_loss_reg: 0.3273  instance_segmentation_loss_poly: 0.8700
2024/01/08 23:26:09 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 23:26:09 - mmengine - INFO - Iter(train) [375000/640000]  base_lr: 7.3329e-05 lr: 7.3329e-06  eta: 4 days, 17:19:01  time: 1.5517  data_time: 0.0270  memory: 25567  grad_norm: 3.0649  loss: 1.1650  caption_loss_cls: 2.0852  detection_loss_cls: 0.0288  detection_loss_reg: 0.3328  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3260  instance_segmentation_loss_cls: 0.0281  instance_segmentation_loss_reg: 0.3276  instance_segmentation_loss_poly: 0.8695
2024/01/08 23:38:48 - mmengine - INFO - Iter(train) [375500/640000]  base_lr: 7.3093e-05 lr: 7.3093e-06  eta: 4 days, 17:05:11  time: 1.5495  data_time: 0.0271  memory: 25567  grad_norm: 3.1234  loss: 1.1851  caption_loss_cls: 2.0806  detection_loss_cls: 0.0289  detection_loss_reg: 0.3331  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3313  instance_segmentation_loss_cls: 0.0281  instance_segmentation_loss_reg: 0.3286  instance_segmentation_loss_poly: 0.8705
2024/01/08 23:52:05 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/08 23:52:05 - mmengine - INFO - Iter(train) [376000/640000]  base_lr: 7.2856e-05 lr: 7.2856e-06  eta: 4 days, 16:54:51  time: 1.5561  data_time: 0.0272  memory: 25567  grad_norm: 2.9708  loss: 1.1882  caption_loss_cls: 2.0778  detection_loss_cls: 0.0288  detection_loss_reg: 0.3325  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3279  instance_segmentation_loss_cls: 0.0282  instance_segmentation_loss_reg: 0.3292  instance_segmentation_loss_poly: 0.8717
2024/01/08 23:52:05 - mmengine - INFO - Saving checkpoint at 376000 iterations
2024/01/09 00:05:26 - mmengine - INFO - Iter(train) [376500/640000]  base_lr: 7.2620e-05 lr: 7.2620e-06  eta: 4 days, 16:44:49  time: 1.5554  data_time: 0.0274  memory: 25567  grad_norm: 3.0053  loss: 1.2034  caption_loss_cls: 2.0750  detection_loss_cls: 0.0288  detection_loss_reg: 0.3320  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3292  instance_segmentation_loss_cls: 0.0284  instance_segmentation_loss_reg: 0.3300  instance_segmentation_loss_poly: 0.8733
2024/01/09 00:18:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/09 00:18:31 - mmengine - INFO - Iter(train) [377000/640000]  base_lr: 7.2384e-05 lr: 7.2384e-06  eta: 4 days, 16:33:17  time: 1.5628  data_time: 0.0275  memory: 25567  grad_norm: 2.9531  loss: 1.1924  caption_loss_cls: 2.0736  detection_loss_cls: 0.0287  detection_loss_reg: 0.3311  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3264  instance_segmentation_loss_cls: 0.0287  instance_segmentation_loss_reg: 0.3330  instance_segmentation_loss_poly: 0.8784
2024/01/09 00:31:26 - mmengine - INFO - Iter(train) [377500/640000]  base_lr: 7.2149e-05 lr: 7.2149e-06  eta: 4 days, 16:20:45  time: 1.5601  data_time: 0.0274  memory: 25567  grad_norm: 2.9173  loss: 1.1868  caption_loss_cls: 2.0786  detection_loss_cls: 0.0287  detection_loss_reg: 0.3317  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3289  instance_segmentation_loss_cls: 0.0286  instance_segmentation_loss_reg: 0.3321  instance_segmentation_loss_poly: 0.8776
2024/01/09 00:44:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/09 00:44:29 - mmengine - INFO - Iter(train) [378000/640000]  base_lr: 7.1913e-05 lr: 7.1913e-06  eta: 4 days, 16:09:01  time: 1.5664  data_time: 0.0275  memory: 25567  grad_norm: 2.8536  loss: 1.1825  caption_loss_cls: 2.0768  detection_loss_cls: 0.0285  detection_loss_reg: 0.3302  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3285  instance_segmentation_loss_cls: 0.0284  instance_segmentation_loss_reg: 0.3297  instance_segmentation_loss_poly: 0.8724
2024/01/09 00:44:29 - mmengine - INFO - Saving checkpoint at 378000 iterations
2024/01/09 00:57:51 - mmengine - INFO - Iter(train) [378500/640000]  base_lr: 7.1677e-05 lr: 7.1677e-06  eta: 4 days, 15:58:53  time: 1.5666  data_time: 0.0276  memory: 25567  grad_norm: 2.8860  loss: 1.1866  caption_loss_cls: 2.0769  detection_loss_cls: 0.0285  detection_loss_reg: 0.3307  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3274  instance_segmentation_loss_cls: 0.0283  instance_segmentation_loss_reg: 0.3287  instance_segmentation_loss_poly: 0.8697
2024/01/09 01:10:09 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/09 01:10:09 - mmengine - INFO - Iter(train) [379000/640000]  base_lr: 7.1442e-05 lr: 7.1442e-06  eta: 4 days, 15:43:12  time: 1.5594  data_time: 0.0276  memory: 25567  grad_norm: 2.8895  loss: 1.1991  caption_loss_cls: 2.0725  detection_loss_cls: 0.0284  detection_loss_reg: 0.3291  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3250  instance_segmentation_loss_cls: 0.0282  instance_segmentation_loss_reg: 0.3282  instance_segmentation_loss_poly: 0.8689
2024/01/09 01:22:49 - mmengine - INFO - Iter(train) [379500/640000]  base_lr: 7.1207e-05 lr: 7.1207e-06  eta: 4 days, 15:29:24  time: 1.5594  data_time: 0.0277  memory: 25567  grad_norm: 2.8496  loss: 1.1965  caption_loss_cls: 2.0679  detection_loss_cls: 0.0285  detection_loss_reg: 0.3300  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3272  instance_segmentation_loss_cls: 0.0285  instance_segmentation_loss_reg: 0.3315  instance_segmentation_loss_poly: 0.8757
2024/01/09 01:35:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/09 01:35:36 - mmengine - INFO - Iter(train) [380000/640000]  base_lr: 7.0972e-05 lr: 7.0972e-06  eta: 4 days, 15:16:18  time: 1.5520  data_time: 0.0276  memory: 25567  grad_norm: 2.8505  loss: 1.1930  caption_loss_cls: 2.0724  detection_loss_cls: 0.0285  detection_loss_reg: 0.3300  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3320  instance_segmentation_loss_cls: 0.0284  instance_segmentation_loss_reg: 0.3299  instance_segmentation_loss_poly: 0.8723
2024/01/09 01:35:36 - mmengine - INFO - Saving checkpoint at 380000 iterations
2024/01/09 01:47:25 - mmengine - INFO - Evaluating bbox...
2024/01/09 01:48:22 - mmengine - INFO - bbox_mAP_copypaste: 0.508 0.689 0.557 0.354 0.558 0.659
2024/01/09 01:48:22 - mmengine - INFO - Evaluating segm...
2024/01/09 01:49:36 - mmengine - INFO - segm_mAP_copypaste: 0.342 0.613 0.338 0.199 0.390 0.513
2024/01/09 01:51:44 - mmengine - INFO - Evaluating bbox...
2024/01/09 01:52:42 - mmengine - INFO - bbox_mAP_copypaste: 0.507 0.689 0.556 0.353 0.558 0.658
2024/01/09 01:58:12 - mmengine - INFO - per class results:
2024/01/09 01:58:12 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        |  78.4 | 90.72 |
|       building      | 82.22 | 90.85 |
|         sky         |  93.7 | 97.72 |
|        floor        | 82.76 | 90.33 |
|         tree        |  74.5 | 88.64 |
|       ceiling       | 86.29 | 94.43 |
|         road        | 85.58 | 91.34 |
|         bed         | 90.49 | 95.88 |
|      windowpane     | 63.62 | 78.59 |
|        grass        | 68.46 | 83.12 |
|       cabinet       | 62.31 | 73.49 |
|       sidewalk      | 69.63 | 82.91 |
|        person       | 81.66 | 91.18 |
|        earth        | 34.96 | 44.98 |
|         door        | 53.98 | 68.55 |
|        table        | 63.86 | 79.92 |
|       mountain      | 53.91 | 63.12 |
|        plant        | 52.65 | 63.39 |
|       curtain       | 75.93 |  86.7 |
|        chair        | 62.82 | 79.07 |
|         car         | 84.93 | 90.81 |
|        water        | 62.14 |  74.0 |
|       painting      |  71.4 | 85.45 |
|         sofa        | 71.58 | 83.93 |
|        shelf        | 47.51 |  68.8 |
|        house        |  44.2 | 66.76 |
|         sea         |  61.3 |  78.3 |
|        mirror       | 67.56 | 73.47 |
|         rug         | 66.89 | 77.93 |
|        field        | 34.66 | 59.33 |
|       armchair      | 50.99 |  64.9 |
|         seat        | 64.36 | 80.59 |
|        fence        | 46.04 | 68.46 |
|         desk        | 52.48 | 72.07 |
|         rock        | 58.25 | 83.09 |
|       wardrobe      | 46.56 | 61.06 |
|         lamp        | 65.54 | 75.88 |
|       bathtub       |  85.1 | 89.11 |
|       railing       | 41.28 | 58.54 |
|       cushion       | 62.87 | 75.79 |
|         base        | 16.44 | 20.24 |
|         box         | 27.69 | 33.88 |
|        column       | 57.74 | 65.85 |
|      signboard      | 37.37 | 47.68 |
|   chest of drawers  | 34.43 | 61.92 |
|       counter       | 32.57 | 48.08 |
|         sand        | 44.22 | 67.13 |
|         sink        | 75.47 | 82.14 |
|      skyscraper     | 46.24 | 58.57 |
|      fireplace      | 75.87 | 86.39 |
|     refrigerator    | 77.66 | 83.11 |
|      grandstand     | 52.78 | 81.82 |
|         path        | 19.06 | 28.48 |
|        stairs       | 36.08 | 42.68 |
|        runway       | 70.17 | 90.88 |
|         case        |  47.6 | 61.57 |
|      pool table     | 92.11 | 95.28 |
|        pillow       | 61.89 | 72.75 |
|     screen door     |  71.5 | 73.04 |
|       stairway      | 32.19 | 40.63 |
|        river        | 14.97 | 33.12 |
|        bridge       | 61.29 | 80.16 |
|       bookcase      | 38.86 | 52.92 |
|        blind        | 40.73 | 45.24 |
|     coffee table    | 65.13 | 78.93 |
|        toilet       | 86.82 | 92.78 |
|        flower       | 42.15 | 57.72 |
|         book        | 51.25 | 72.63 |
|         hill        | 16.75 | 23.26 |
|        bench        | 61.52 |  70.6 |
|      countertop     | 61.46 |  77.0 |
|        stove        | 80.42 | 84.36 |
|         palm        | 51.14 | 75.25 |
|    kitchen island   | 42.66 | 70.77 |
|       computer      | 77.17 | 87.94 |
|     swivel chair    | 43.13 | 55.27 |
|         boat        | 51.69 | 65.48 |
|         bar         | 32.39 | 42.27 |
|    arcade machine   | 53.09 | 54.71 |
|        hovel        | 19.46 | 22.36 |
|         bus         | 87.05 | 95.65 |
|        towel        | 64.63 | 79.98 |
|        light        | 52.55 | 62.12 |
|        truck        |  43.2 | 62.73 |
|        tower        | 34.94 | 59.18 |
|      chandelier     | 66.56 | 76.98 |
|        awning       |  30.4 | 43.72 |
|     streetlight     | 31.86 | 41.17 |
|        booth        | 34.23 | 40.94 |
| television receiver | 71.81 | 83.69 |
|       airplane      | 73.62 |  82.2 |
|      dirt track     |  5.57 | 13.78 |
|       apparel       | 30.63 | 44.15 |
|         pole        | 27.02 | 39.24 |
|         land        |  3.14 |  6.7  |
|      bannister      | 19.05 |  27.0 |
|      escalator      | 26.45 | 28.79 |
|       ottoman       | 54.25 | 71.96 |
|        bottle       | 29.63 | 39.67 |
|        buffet       | 51.94 | 57.98 |
|        poster       |  35.4 | 41.65 |
|        stage        | 13.32 | 20.54 |
|         van         | 50.74 | 69.31 |
|         ship        | 12.39 | 15.12 |
|       fountain      | 22.82 | 23.22 |
|    conveyer belt    | 73.32 | 91.32 |
|        canopy       | 36.33 | 40.04 |
|        washer       | 70.05 | 72.54 |
|      plaything      | 26.88 | 35.73 |
|    swimming pool    | 70.83 | 72.65 |
|        stool        | 43.93 | 57.92 |
|        barrel       | 29.82 | 67.16 |
|        basket       | 34.86 | 42.03 |
|      waterfall      | 74.64 | 90.14 |
|         tent        | 78.06 | 97.51 |
|         bag         | 22.03 | 30.17 |
|       minibike      |  73.3 | 84.76 |
|        cradle       | 73.82 | 97.85 |
|         oven        | 53.29 |  66.0 |
|         ball        | 40.71 | 48.93 |
|         food        | 49.84 | 54.47 |
|         step        | 12.82 | 21.13 |
|         tank        | 50.89 | 53.55 |
|      trade name     | 32.04 | 45.35 |
|      microwave      |  86.6 |  92.3 |
|         pot         | 52.28 |  62.0 |
|        animal       |  63.5 | 67.73 |
|       bicycle       |  61.4 | 79.13 |
|         lake        | 53.44 | 63.56 |
|      dishwasher     | 68.62 | 85.43 |
|        screen       | 72.32 | 88.73 |
|       blanket       | 24.22 | 29.95 |
|      sculpture      | 69.31 | 80.49 |
|         hood        | 66.27 | 73.15 |
|        sconce       | 46.74 | 62.35 |
|         vase        |  43.0 | 58.17 |
|    traffic light    | 37.79 | 48.82 |
|         tray        | 16.66 | 20.19 |
|        ashcan       | 43.52 | 60.88 |
|         fan         |  62.6 | 72.84 |
|         pier        | 36.13 | 48.15 |
|      crt screen     |  9.76 |  20.1 |
|        plate        | 58.63 | 75.91 |
|       monitor       |  4.65 |  5.04 |
|    bulletin board   | 43.31 | 46.28 |
|        shower       |  4.11 |  4.73 |
|       radiator      | 59.95 | 71.25 |
|        glass        | 18.52 | 20.04 |
|        clock        | 35.47 |  50.8 |
|         flag        | 54.42 | 62.48 |
+---------------------+-------+-------+
2024/01/09 01:58:24 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5070  coco/bbox_mAP_50: 0.6890  coco/bbox_mAP_75: 0.5560  coco/bbox_mAP_s: 0.3530  coco/bbox_mAP_m: 0.5580  coco/bbox_mAP_l: 0.6580  coco/segm_mAP: 0.3420  coco/segm_mAP_50: 0.6130  coco/segm_mAP_75: 0.3380  coco/segm_mAP_s: 0.1990  coco/segm_mAP_m: 0.3900  coco/segm_mAP_l: 0.5130  Bleu_1: 0.7601  Bleu_2: 0.5982  Bleu_3: 0.4576  Bleu_4: 0.3451  METEOR: 0.2733  ROUGE_L: 0.5621  CIDEr: 1.1176  SPICE: 0.2043  aAcc: 84.0100  mIoU: 51.4600  mAcc: 63.0300  visual-grounding/miou: 0.8217  visual-grounding/acc: 0.8835  data_time: 0.0129  time: 1.8937
2024/01/09 02:10:48 - mmengine - INFO - Iter(train) [380500/640000]  base_lr: 7.0737e-05 lr: 7.0737e-06  eta: 4 days, 15:01:29  time: 1.5384  data_time: 0.0209  memory: 34658  grad_norm: 2.9921  loss: 1.1791  caption_loss_cls: 2.0726  detection_loss_cls: 0.0283  detection_loss_reg: 0.3283  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3276  instance_segmentation_loss_cls: 0.0285  instance_segmentation_loss_reg: 0.3302  instance_segmentation_loss_poly: 0.8729
2024/01/09 02:23:47 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240108_022928
2024/01/09 02:23:47 - mmengine - INFO - Iter(train) [381000/640000]  base_lr: 7.0503e-05 lr: 7.0503e-06  eta: 4 days, 14:49:20  time: 1.5369  data_time: 0.0207  memory: 25567  grad_norm: 3.0187  loss: 1.1812  caption_loss_cls: 2.0656  detection_loss_cls: 0.0285  detection_loss_reg: 0.3299  semantic_segmentation_loss_cls: 0.0072  grounding_loss_reg: 2.3281  instance_segmentation_loss_cls: 0.0284  instance_segmentation_loss_reg: 0.3304  instance_segmentation_loss_poly: 0.8738
2024/01/09 03:09:20 - mmengine - INFO - Iter(train) [381500/640000]  base_lr: 7.0268e-05 lr: 7.0268e-06  eta: 4 days, 3:00:22  time: 1.4792  data_time: 0.0192  memory: 25557  grad_norm: 2.9693  loss: 1.1898  caption_loss_cls: 2.0564  detection_loss_cls: 0.0284  detection_loss_reg: 0.3298  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3251  instance_segmentation_loss_cls: 0.0282  instance_segmentation_loss_reg: 0.3302  instance_segmentation_loss_poly: 0.8723
2024/01/09 03:21:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 03:21:22 - mmengine - INFO - Iter(train) [382000/640000]  base_lr: 7.0034e-05 lr: 7.0034e-06  eta: 4 days, 3:58:02  time: 1.4639  data_time: 0.0190  memory: 25557  grad_norm: 3.0079  loss: 1.2043  caption_loss_cls: 2.0537  detection_loss_cls: 0.0284  detection_loss_reg: 0.3291  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3270  instance_segmentation_loss_cls: 0.0281  instance_segmentation_loss_reg: 0.3313  instance_segmentation_loss_poly: 0.8746
2024/01/09 03:21:22 - mmengine - INFO - Saving checkpoint at 382000 iterations
2024/01/09 03:33:30 - mmengine - INFO - Iter(train) [382500/640000]  base_lr: 6.9800e-05 lr: 6.9800e-06  eta: 4 days, 4:38:26  time: 1.4453  data_time: 0.0180  memory: 25557  grad_norm: 3.0488  loss: 1.2172  caption_loss_cls: 2.0524  detection_loss_cls: 0.0283  detection_loss_reg: 0.3267  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3288  instance_segmentation_loss_cls: 0.0282  instance_segmentation_loss_reg: 0.3312  instance_segmentation_loss_poly: 0.8754
2024/01/09 03:45:26 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 03:45:26 - mmengine - INFO - Iter(train) [383000/640000]  base_lr: 6.9566e-05 lr: 6.9566e-06  eta: 4 days, 4:43:25  time: 1.4397  data_time: 0.0178  memory: 25557  grad_norm: 3.0301  loss: 1.2077  caption_loss_cls: 2.0486  detection_loss_cls: 0.0283  detection_loss_reg: 0.3264  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3297  instance_segmentation_loss_cls: 0.0283  instance_segmentation_loss_reg: 0.3318  instance_segmentation_loss_poly: 0.8778
2024/01/09 03:57:13 - mmengine - INFO - Iter(train) [383500/640000]  base_lr: 6.9332e-05 lr: 6.9332e-06  eta: 4 days, 4:32:58  time: 1.4266  data_time: 0.0174  memory: 25557  grad_norm: 3.2188  loss: 1.1885  caption_loss_cls: 2.0442  detection_loss_cls: 0.0281  detection_loss_reg: 0.3251  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3257  instance_segmentation_loss_cls: 0.0282  instance_segmentation_loss_reg: 0.3311  instance_segmentation_loss_poly: 0.8761
2024/01/09 04:09:20 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 04:09:20 - mmengine - INFO - Iter(train) [384000/640000]  base_lr: 6.9099e-05 lr: 6.9099e-06  eta: 4 days, 4:44:26  time: 1.4167  data_time: 0.0171  memory: 25557  grad_norm: 3.2305  loss: 1.1771  caption_loss_cls: 2.0436  detection_loss_cls: 0.0280  detection_loss_reg: 0.3238  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3224  instance_segmentation_loss_cls: 0.0282  instance_segmentation_loss_reg: 0.3321  instance_segmentation_loss_poly: 0.8782
2024/01/09 04:09:20 - mmengine - INFO - Saving checkpoint at 384000 iterations
2024/01/09 04:21:15 - mmengine - INFO - Iter(train) [384500/640000]  base_lr: 6.8865e-05 lr: 6.8865e-06  eta: 4 days, 4:38:37  time: 1.4212  data_time: 0.0232  memory: 25557  grad_norm: 3.3663  loss: 1.1885  caption_loss_cls: 2.0456  detection_loss_cls: 0.0280  detection_loss_reg: 0.3237  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3202  instance_segmentation_loss_cls: 0.0280  instance_segmentation_loss_reg: 0.3303  instance_segmentation_loss_poly: 0.8750
2024/01/09 04:33:25 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 04:33:25 - mmengine - INFO - Iter(train) [385000/640000]  base_lr: 6.8632e-05 lr: 6.8632e-06  eta: 4 days, 4:44:17  time: 1.4345  data_time: 0.0234  memory: 25557  grad_norm: 3.3404  loss: 1.1786  caption_loss_cls: 2.0469  detection_loss_cls: 0.0280  detection_loss_reg: 0.3232  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3199  instance_segmentation_loss_cls: 0.0283  instance_segmentation_loss_reg: 0.3334  instance_segmentation_loss_poly: 0.8805
2024/01/09 04:46:08 - mmengine - INFO - Iter(train) [385500/640000]  base_lr: 6.8399e-05 lr: 6.8399e-06  eta: 4 days, 5:12:10  time: 1.4513  data_time: 0.0236  memory: 25557  grad_norm: 3.3702  loss: 1.1799  caption_loss_cls: 2.0434  detection_loss_cls: 0.0280  detection_loss_reg: 0.3225  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3214  instance_segmentation_loss_cls: 0.0283  instance_segmentation_loss_reg: 0.3336  instance_segmentation_loss_poly: 0.8811
2024/01/09 04:57:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 04:57:45 - mmengine - INFO - Iter(train) [386000/640000]  base_lr: 6.8167e-05 lr: 6.8167e-06  eta: 4 days, 4:46:19  time: 1.4449  data_time: 0.0235  memory: 25557  grad_norm: 3.4458  loss: 1.1722  caption_loss_cls: 2.0400  detection_loss_cls: 0.0279  detection_loss_reg: 0.3221  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3208  instance_segmentation_loss_cls: 0.0282  instance_segmentation_loss_reg: 0.3326  instance_segmentation_loss_poly: 0.8797
2024/01/09 04:57:45 - mmengine - INFO - Saving checkpoint at 386000 iterations
2024/01/09 05:09:50 - mmengine - INFO - Iter(train) [386500/640000]  base_lr: 6.7934e-05 lr: 6.7934e-06  eta: 4 days, 4:41:37  time: 1.4443  data_time: 0.0233  memory: 25557  grad_norm: 3.4259  loss: 1.1541  caption_loss_cls: 2.0382  detection_loss_cls: 0.0281  detection_loss_reg: 0.3223  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3141  instance_segmentation_loss_cls: 0.0281  instance_segmentation_loss_reg: 0.3318  instance_segmentation_loss_poly: 0.8788
2024/01/09 05:21:51 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 05:21:51 - mmengine - INFO - Iter(train) [387000/640000]  base_lr: 6.7702e-05 lr: 6.7702e-06  eta: 4 days, 4:33:11  time: 1.4457  data_time: 0.0233  memory: 25557  grad_norm: 3.4977  loss: 1.1519  caption_loss_cls: 2.0394  detection_loss_cls: 0.0279  detection_loss_reg: 0.3209  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3168  instance_segmentation_loss_cls: 0.0279  instance_segmentation_loss_reg: 0.3294  instance_segmentation_loss_poly: 0.8733
2024/01/09 05:33:21 - mmengine - INFO - Iter(train) [387500/640000]  base_lr: 6.7469e-05 lr: 6.7469e-06  eta: 4 days, 4:06:44  time: 1.4415  data_time: 0.0233  memory: 25557  grad_norm: 3.5207  loss: 1.1590  caption_loss_cls: 2.0334  detection_loss_cls: 0.0277  detection_loss_reg: 0.3191  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3176  instance_segmentation_loss_cls: 0.0278  instance_segmentation_loss_reg: 0.3293  instance_segmentation_loss_poly: 0.8731
2024/01/09 05:45:20 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 05:45:20 - mmengine - INFO - Iter(train) [388000/640000]  base_lr: 6.7237e-05 lr: 6.7237e-06  eta: 4 days, 3:57:26  time: 1.4393  data_time: 0.0233  memory: 25557  grad_norm: 3.5556  loss: 1.1686  caption_loss_cls: 2.0382  detection_loss_cls: 0.0276  detection_loss_reg: 0.3190  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3163  instance_segmentation_loss_cls: 0.0277  instance_segmentation_loss_reg: 0.3281  instance_segmentation_loss_poly: 0.8697
2024/01/09 05:45:20 - mmengine - INFO - Saving checkpoint at 388000 iterations
2024/01/09 05:57:36 - mmengine - INFO - Iter(train) [388500/640000]  base_lr: 6.7006e-05 lr: 6.7006e-06  eta: 4 days, 3:56:15  time: 1.4445  data_time: 0.0235  memory: 25557  grad_norm: 3.5313  loss: 1.1856  caption_loss_cls: 2.0462  detection_loss_cls: 0.0277  detection_loss_reg: 0.3199  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3129  instance_segmentation_loss_cls: 0.0280  instance_segmentation_loss_reg: 0.3308  instance_segmentation_loss_poly: 0.8756
2024/01/09 06:09:30 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 06:09:30 - mmengine - INFO - Iter(train) [389000/640000]  base_lr: 6.6774e-05 lr: 6.6774e-06  eta: 4 days, 3:43:34  time: 1.4405  data_time: 0.0235  memory: 25557  grad_norm: 3.6292  loss: 1.1889  caption_loss_cls: 2.0460  detection_loss_cls: 0.0278  detection_loss_reg: 0.3206  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3098  instance_segmentation_loss_cls: 0.0276  instance_segmentation_loss_reg: 0.3278  instance_segmentation_loss_poly: 0.8698
2024/01/09 06:21:23 - mmengine - INFO - Iter(train) [389500/640000]  base_lr: 6.6543e-05 lr: 6.6543e-06  eta: 4 days, 3:30:36  time: 1.4281  data_time: 0.0232  memory: 25557  grad_norm: 3.5733  loss: 1.1826  caption_loss_cls: 2.0431  detection_loss_cls: 0.0279  detection_loss_reg: 0.3210  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3122  instance_segmentation_loss_cls: 0.0276  instance_segmentation_loss_reg: 0.3273  instance_segmentation_loss_poly: 0.8680
2024/01/09 06:33:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 06:33:11 - mmengine - INFO - Iter(train) [390000/640000]  base_lr: 6.6311e-05 lr: 6.6311e-06  eta: 4 days, 3:15:21  time: 1.4308  data_time: 0.0233  memory: 25557  grad_norm: 3.5435  loss: 1.1908  caption_loss_cls: 2.0424  detection_loss_cls: 0.0280  detection_loss_reg: 0.3219  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3120  instance_segmentation_loss_cls: 0.0274  instance_segmentation_loss_reg: 0.3257  instance_segmentation_loss_poly: 0.8645
2024/01/09 06:33:11 - mmengine - INFO - Saving checkpoint at 390000 iterations
2024/01/09 06:45:34 - mmengine - INFO - Iter(train) [390500/640000]  base_lr: 6.6080e-05 lr: 6.6080e-06  eta: 4 days, 3:14:36  time: 1.4352  data_time: 0.0232  memory: 25557  grad_norm: 3.5023  loss: 1.1912  caption_loss_cls: 2.0407  detection_loss_cls: 0.0281  detection_loss_reg: 0.3227  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3114  instance_segmentation_loss_cls: 0.0274  instance_segmentation_loss_reg: 0.3259  instance_segmentation_loss_poly: 0.8648
2024/01/09 06:57:18 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 06:57:18 - mmengine - INFO - Iter(train) [391000/640000]  base_lr: 6.5850e-05 lr: 6.5850e-06  eta: 4 days, 2:57:59  time: 1.4309  data_time: 0.0233  memory: 25557  grad_norm: 3.4536  loss: 1.2007  caption_loss_cls: 2.0416  detection_loss_cls: 0.0282  detection_loss_reg: 0.3251  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3141  instance_segmentation_loss_cls: 0.0277  instance_segmentation_loss_reg: 0.3285  instance_segmentation_loss_poly: 0.8703
2024/01/09 07:08:43 - mmengine - INFO - Iter(train) [391500/640000]  base_lr: 6.5619e-05 lr: 6.5619e-06  eta: 4 days, 2:34:58  time: 1.4297  data_time: 0.0232  memory: 25557  grad_norm: 3.3425  loss: 1.2077  caption_loss_cls: 2.0441  detection_loss_cls: 0.0282  detection_loss_reg: 0.3248  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3117  instance_segmentation_loss_cls: 0.0277  instance_segmentation_loss_reg: 0.3287  instance_segmentation_loss_poly: 0.8703
2024/01/09 07:20:48 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 07:20:48 - mmengine - INFO - Iter(train) [392000/640000]  base_lr: 6.5389e-05 lr: 6.5389e-06  eta: 4 days, 2:26:55  time: 1.4314  data_time: 0.0232  memory: 25557  grad_norm: 3.3246  loss: 1.2081  caption_loss_cls: 2.0419  detection_loss_cls: 0.0282  detection_loss_reg: 0.3234  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3054  instance_segmentation_loss_cls: 0.0278  instance_segmentation_loss_reg: 0.3297  instance_segmentation_loss_poly: 0.8737
2024/01/09 07:20:48 - mmengine - INFO - Saving checkpoint at 392000 iterations
2024/01/09 07:32:36 - mmengine - INFO - Iter(train) [392500/640000]  base_lr: 6.5159e-05 lr: 6.5159e-06  eta: 4 days, 2:12:31  time: 1.4242  data_time: 0.0230  memory: 25557  grad_norm: 3.3062  loss: 1.1965  caption_loss_cls: 2.0454  detection_loss_cls: 0.0283  detection_loss_reg: 0.3234  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3008  instance_segmentation_loss_cls: 0.0277  instance_segmentation_loss_reg: 0.3295  instance_segmentation_loss_poly: 0.8721
2024/01/09 07:44:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 07:44:36 - mmengine - INFO - Iter(train) [393000/640000]  base_lr: 6.4929e-05 lr: 6.4929e-06  eta: 4 days, 2:02:23  time: 1.4257  data_time: 0.0230  memory: 25557  grad_norm: 3.2047  loss: 1.1811  caption_loss_cls: 2.0445  detection_loss_cls: 0.0283  detection_loss_reg: 0.3225  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2991  instance_segmentation_loss_cls: 0.0277  instance_segmentation_loss_reg: 0.3292  instance_segmentation_loss_poly: 0.8706
2024/01/09 07:56:12 - mmengine - INFO - Iter(train) [393500/640000]  base_lr: 6.4699e-05 lr: 6.4699e-06  eta: 4 days, 1:44:55  time: 1.4216  data_time: 0.0231  memory: 25557  grad_norm: 3.1979  loss: 1.1929  caption_loss_cls: 2.0448  detection_loss_cls: 0.0282  detection_loss_reg: 0.3220  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3012  instance_segmentation_loss_cls: 0.0278  instance_segmentation_loss_reg: 0.3306  instance_segmentation_loss_poly: 0.8732
2024/01/09 08:07:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 08:07:44 - mmengine - INFO - Iter(train) [394000/640000]  base_lr: 6.4469e-05 lr: 6.4469e-06  eta: 4 days, 1:26:32  time: 1.4177  data_time: 0.0230  memory: 25557  grad_norm: 3.1803  loss: 1.1901  caption_loss_cls: 2.0385  detection_loss_cls: 0.0284  detection_loss_reg: 0.3235  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3011  instance_segmentation_loss_cls: 0.0279  instance_segmentation_loss_reg: 0.3318  instance_segmentation_loss_poly: 0.8750
2024/01/09 08:07:44 - mmengine - INFO - Saving checkpoint at 394000 iterations
2024/01/09 08:19:59 - mmengine - INFO - Iter(train) [394500/640000]  base_lr: 6.4240e-05 lr: 6.4240e-06  eta: 4 days, 1:20:43  time: 1.4157  data_time: 0.0229  memory: 25557  grad_norm: 3.2582  loss: 1.1956  caption_loss_cls: 2.0339  detection_loss_cls: 0.0284  detection_loss_reg: 0.3239  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2997  instance_segmentation_loss_cls: 0.0280  instance_segmentation_loss_reg: 0.3326  instance_segmentation_loss_poly: 0.8775
2024/01/09 08:31:55 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 08:31:55 - mmengine - INFO - Iter(train) [395000/640000]  base_lr: 6.4011e-05 lr: 6.4011e-06  eta: 4 days, 1:09:26  time: 1.4188  data_time: 0.0229  memory: 25557  grad_norm: 3.2643  loss: 1.1922  caption_loss_cls: 2.0299  detection_loss_cls: 0.0285  detection_loss_reg: 0.3257  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2996  instance_segmentation_loss_cls: 0.0281  instance_segmentation_loss_reg: 0.3336  instance_segmentation_loss_poly: 0.8802
2024/01/09 08:43:34 - mmengine - INFO - Iter(train) [395500/640000]  base_lr: 6.3782e-05 lr: 6.3782e-06  eta: 4 days, 0:53:30  time: 1.4222  data_time: 0.0230  memory: 25557  grad_norm: 3.1750  loss: 1.1917  caption_loss_cls: 2.0325  detection_loss_cls: 0.0285  detection_loss_reg: 0.3244  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3041  instance_segmentation_loss_cls: 0.0282  instance_segmentation_loss_reg: 0.3340  instance_segmentation_loss_poly: 0.8813
2024/01/09 08:55:33 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 08:55:33 - mmengine - INFO - Iter(train) [396000/640000]  base_lr: 6.3553e-05 lr: 6.3553e-06  eta: 4 days, 0:42:51  time: 1.4204  data_time: 0.0229  memory: 25557  grad_norm: 3.1220  loss: 1.1782  caption_loss_cls: 2.0262  detection_loss_cls: 0.0284  detection_loss_reg: 0.3230  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.3029  instance_segmentation_loss_cls: 0.0281  instance_segmentation_loss_reg: 0.3337  instance_segmentation_loss_poly: 0.8800
2024/01/09 08:55:33 - mmengine - INFO - Saving checkpoint at 396000 iterations
2024/01/09 09:07:52 - mmengine - INFO - Iter(train) [396500/640000]  base_lr: 6.3325e-05 lr: 6.3325e-06  eta: 4 days, 0:37:14  time: 1.4284  data_time: 0.0228  memory: 25557  grad_norm: 3.0696  loss: 1.1620  caption_loss_cls: 2.0208  detection_loss_cls: 0.0283  detection_loss_reg: 0.3221  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2982  instance_segmentation_loss_cls: 0.0279  instance_segmentation_loss_reg: 0.3330  instance_segmentation_loss_poly: 0.8769
2024/01/09 09:19:30 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 09:19:30 - mmengine - INFO - Iter(train) [397000/640000]  base_lr: 6.3097e-05 lr: 6.3097e-06  eta: 4 days, 0:21:16  time: 1.4228  data_time: 0.0228  memory: 25557  grad_norm: 3.0855  loss: 1.1725  caption_loss_cls: 2.0160  detection_loss_cls: 0.0285  detection_loss_reg: 0.3244  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.3007  instance_segmentation_loss_cls: 0.0278  instance_segmentation_loss_reg: 0.3320  instance_segmentation_loss_poly: 0.8746
2024/01/09 09:31:03 - mmengine - INFO - Iter(train) [397500/640000]  base_lr: 6.2869e-05 lr: 6.2869e-06  eta: 4 days, 0:04:42  time: 1.4221  data_time: 0.0228  memory: 25557  grad_norm: 3.1132  loss: 1.1654  caption_loss_cls: 2.0163  detection_loss_cls: 0.0285  detection_loss_reg: 0.3241  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2981  instance_segmentation_loss_cls: 0.0276  instance_segmentation_loss_reg: 0.3302  instance_segmentation_loss_poly: 0.8700
2024/01/09 09:42:59 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 09:42:59 - mmengine - INFO - Iter(train) [398000/640000]  base_lr: 6.2641e-05 lr: 6.2641e-06  eta: 3 days, 23:53:14  time: 1.4279  data_time: 0.0228  memory: 25557  grad_norm: 3.0822  loss: 1.1561  caption_loss_cls: 2.0125  detection_loss_cls: 0.0286  detection_loss_reg: 0.3254  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2951  instance_segmentation_loss_cls: 0.0277  instance_segmentation_loss_reg: 0.3316  instance_segmentation_loss_poly: 0.8736
2024/01/09 09:42:59 - mmengine - INFO - Saving checkpoint at 398000 iterations
2024/01/09 09:55:10 - mmengine - INFO - Iter(train) [398500/640000]  base_lr: 6.2413e-05 lr: 6.2413e-06  eta: 3 days, 23:45:14  time: 1.4271  data_time: 0.0228  memory: 25557  grad_norm: 3.0423  loss: 1.1548  caption_loss_cls: 2.0119  detection_loss_cls: 0.0287  detection_loss_reg: 0.3250  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2882  instance_segmentation_loss_cls: 0.0278  instance_segmentation_loss_reg: 0.3335  instance_segmentation_loss_poly: 0.8775
2024/01/09 10:06:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 10:06:39 - mmengine - INFO - Iter(train) [399000/640000]  base_lr: 6.2186e-05 lr: 6.2186e-06  eta: 3 days, 23:28:04  time: 1.4203  data_time: 0.0227  memory: 25557  grad_norm: 3.0545  loss: 1.1573  caption_loss_cls: 2.0183  detection_loss_cls: 0.0286  detection_loss_reg: 0.3247  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2833  instance_segmentation_loss_cls: 0.0280  instance_segmentation_loss_reg: 0.3337  instance_segmentation_loss_poly: 0.8794
2024/01/09 10:18:58 - mmengine - INFO - Iter(train) [399500/640000]  base_lr: 6.1959e-05 lr: 6.1959e-06  eta: 3 days, 23:21:20  time: 1.4302  data_time: 0.0229  memory: 25557  grad_norm: 3.0280  loss: 1.1552  caption_loss_cls: 2.0196  detection_loss_cls: 0.0287  detection_loss_reg: 0.3259  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2814  instance_segmentation_loss_cls: 0.0279  instance_segmentation_loss_reg: 0.3340  instance_segmentation_loss_poly: 0.8793
2024/01/09 10:30:35 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 10:30:35 - mmengine - INFO - Iter(train) [400000/640000]  base_lr: 6.1732e-05 lr: 6.1732e-06  eta: 3 days, 23:06:05  time: 1.4249  data_time: 0.0229  memory: 25557  grad_norm: 3.0856  loss: 1.1765  caption_loss_cls: 2.0234  detection_loss_cls: 0.0287  detection_loss_reg: 0.3257  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2751  instance_segmentation_loss_cls: 0.0278  instance_segmentation_loss_reg: 0.3344  instance_segmentation_loss_poly: 0.8795
2024/01/09 10:30:35 - mmengine - INFO - Saving checkpoint at 400000 iterations
2024/01/09 10:42:00 - mmengine - INFO - Evaluating bbox...
2024/01/09 10:42:58 - mmengine - INFO - bbox_mAP_copypaste: 0.514 0.696 0.564 0.360 0.561 0.666
2024/01/09 10:42:58 - mmengine - INFO - Evaluating segm...
2024/01/09 10:44:13 - mmengine - INFO - segm_mAP_copypaste: 0.341 0.609 0.334 0.194 0.387 0.531
2024/01/09 10:46:22 - mmengine - INFO - Evaluating bbox...
2024/01/09 10:47:21 - mmengine - INFO - bbox_mAP_copypaste: 0.513 0.696 0.563 0.360 0.561 0.667
2024/01/09 10:53:34 - mmengine - INFO - per class results:
2024/01/09 10:53:34 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.22 | 88.99 |
|       building      | 82.52 | 91.71 |
|         sky         | 93.13 | 98.29 |
|        floor        |  82.6 | 90.75 |
|         tree        | 73.77 | 86.39 |
|       ceiling       | 85.35 | 94.72 |
|         road        | 83.46 | 88.76 |
|         bed         | 89.76 | 95.12 |
|      windowpane     | 64.05 | 78.28 |
|        grass        | 69.31 | 83.76 |
|       cabinet       | 64.18 | 79.87 |
|       sidewalk      | 66.48 | 80.94 |
|        person       | 81.45 | 91.68 |
|        earth        | 40.35 |  57.9 |
|         door        | 55.91 | 71.93 |
|        table        | 64.46 | 80.66 |
|       mountain      | 59.84 | 82.52 |
|        plant        | 52.14 | 61.61 |
|       curtain       | 77.64 | 88.66 |
|        chair        | 62.48 | 76.44 |
|         car         | 85.41 | 92.16 |
|        water        | 63.04 | 79.97 |
|       painting      | 73.67 | 89.63 |
|         sofa        | 72.43 | 84.68 |
|        shelf        |  49.3 | 73.84 |
|        house        | 43.64 | 60.44 |
|         sea         | 62.21 | 74.61 |
|        mirror       | 68.11 | 78.68 |
|         rug         | 63.49 | 70.58 |
|        field        |  34.7 | 43.51 |
|       armchair      | 52.38 | 73.31 |
|         seat        | 66.98 | 80.96 |
|        fence        | 47.53 |  64.9 |
|         desk        | 54.39 | 70.59 |
|         rock        | 35.46 | 43.87 |
|       wardrobe      | 44.82 | 65.77 |
|         lamp        | 67.11 | 79.45 |
|       bathtub       | 73.06 | 87.74 |
|       railing       | 41.57 |  58.3 |
|       cushion       | 62.02 | 74.11 |
|         base        | 26.92 |  36.9 |
|         box         | 27.37 | 35.87 |
|        column       | 55.54 | 69.73 |
|      signboard      | 38.91 |  53.1 |
|   chest of drawers  |  37.2 | 43.34 |
|       counter       | 31.39 | 45.65 |
|         sand        | 46.05 | 62.03 |
|         sink        | 77.98 | 87.25 |
|      skyscraper     | 48.19 | 63.17 |
|      fireplace      | 73.62 |  86.4 |
|     refrigerator    | 75.77 |  84.5 |
|      grandstand     | 52.41 | 80.86 |
|         path        | 24.61 | 35.55 |
|        stairs       | 38.08 | 46.07 |
|        runway       | 72.69 | 93.17 |
|         case        |  50.2 | 59.84 |
|      pool table     | 91.83 | 94.96 |
|        pillow       | 58.11 | 65.58 |
|     screen door     | 80.98 | 85.08 |
|       stairway      |  30.7 | 40.01 |
|        river        |  16.8 | 32.03 |
|        bridge       | 63.69 |  80.6 |
|       bookcase      | 34.58 | 37.96 |
|        blind        | 41.58 | 47.12 |
|     coffee table    | 65.22 | 80.38 |
|        toilet       | 85.69 | 93.49 |
|        flower       | 40.21 | 54.36 |
|         book        | 49.34 | 71.52 |
|         hill        | 17.32 | 22.81 |
|        bench        | 61.64 | 71.66 |
|      countertop     | 63.48 | 75.69 |
|        stove        | 80.12 | 84.29 |
|         palm        | 48.47 | 69.68 |
|    kitchen island   | 43.37 | 64.39 |
|       computer      | 75.59 | 88.67 |
|     swivel chair    | 45.99 | 59.83 |
|         boat        |  55.5 | 70.58 |
|         bar         | 38.33 |  48.0 |
|    arcade machine   | 69.38 | 72.54 |
|        hovel        | 20.32 | 23.29 |
|         bus         | 86.67 |  95.9 |
|        towel        | 66.04 | 79.54 |
|        light        |  50.9 |  58.6 |
|        truck        | 45.13 | 58.82 |
|        tower        | 35.39 | 61.16 |
|      chandelier     | 64.02 | 71.01 |
|        awning       | 25.58 |  32.7 |
|     streetlight     | 32.84 | 41.06 |
|        booth        | 45.24 | 55.56 |
| television receiver | 71.77 | 80.87 |
|       airplane      | 68.32 | 73.77 |
|      dirt track     |  7.5  | 15.86 |
|       apparel       | 29.41 | 45.13 |
|         pole        | 30.66 | 47.49 |
|         land        |  0.09 |  0.13 |
|      bannister      | 19.75 | 26.57 |
|      escalator      | 29.79 | 33.31 |
|       ottoman       | 54.28 | 71.69 |
|        bottle       | 28.15 |  35.3 |
|        buffet       | 52.99 | 55.73 |
|        poster       | 37.07 | 48.87 |
|        stage        |  9.49 | 15.82 |
|         van         | 44.12 | 60.28 |
|         ship        |  8.08 | 10.04 |
|       fountain      | 23.18 |  23.6 |
|    conveyer belt    | 83.05 | 89.53 |
|        canopy       | 33.19 | 45.93 |
|        washer       | 69.57 | 71.78 |
|      plaything      | 32.21 | 40.92 |
|    swimming pool    | 68.67 | 71.21 |
|        stool        | 46.29 | 59.74 |
|        barrel       | 31.87 | 69.22 |
|        basket       | 33.05 | 41.63 |
|      waterfall      | 75.29 | 86.42 |
|         tent        | 70.08 | 97.68 |
|         bag         | 20.27 | 26.88 |
|       minibike      | 75.03 | 86.94 |
|        cradle       |  82.1 | 96.34 |
|         oven        | 53.34 | 62.16 |
|         ball        | 31.53 | 35.72 |
|         food        | 50.28 | 54.83 |
|         step        |  6.64 |  7.64 |
|         tank        |  37.5 | 40.77 |
|      trade name     |  25.2 | 28.55 |
|      microwave      | 85.76 |  95.4 |
|         pot         | 50.59 |  58.1 |
|        animal       | 64.71 |  69.1 |
|       bicycle       | 60.37 | 78.81 |
|         lake        | 60.66 | 60.97 |
|      dishwasher     | 72.21 | 80.44 |
|        screen       | 71.96 | 89.84 |
|       blanket       | 27.91 | 34.42 |
|      sculpture      | 60.25 | 79.67 |
|         hood        | 60.44 | 71.86 |
|        sconce       | 47.38 |  55.8 |
|         vase        | 42.49 |  65.3 |
|    traffic light    | 40.17 | 52.32 |
|         tray        | 17.72 | 30.13 |
|        ashcan       | 43.37 | 55.36 |
|         fan         |  65.1 |  81.8 |
|         pier        | 38.13 | 44.94 |
|      crt screen     |  5.05 | 10.82 |
|        plate        | 58.04 | 78.06 |
|       monitor       | 13.07 | 15.19 |
|    bulletin board   |  54.0 | 63.44 |
|        shower       |  4.93 |  9.4  |
|       radiator      | 63.28 | 72.26 |
|        glass        | 18.16 | 20.39 |
|        clock        |  38.4 | 44.54 |
|         flag        | 44.22 | 49.23 |
+---------------------+-------+-------+
2024/01/09 10:53:48 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5130  coco/bbox_mAP_50: 0.6960  coco/bbox_mAP_75: 0.5630  coco/bbox_mAP_s: 0.3600  coco/bbox_mAP_m: 0.5610  coco/bbox_mAP_l: 0.6670  coco/segm_mAP: 0.3410  coco/segm_mAP_50: 0.6090  coco/segm_mAP_75: 0.3340  coco/segm_mAP_s: 0.1940  coco/segm_mAP_m: 0.3870  coco/segm_mAP_l: 0.5310  Bleu_1: 0.7671  Bleu_2: 0.6017  Bleu_3: 0.4569  Bleu_4: 0.3422  METEOR: 0.2730  ROUGE_L: 0.5624  CIDEr: 1.1178  SPICE: 0.2070  aAcc: 84.1700  mIoU: 51.6300  mAcc: 62.7600  visual-grounding/miou: 0.8209  visual-grounding/acc: 0.8813  data_time: 0.0269  time: 1.9098
2024/01/09 11:05:30 - mmengine - INFO - Iter(train) [400500/640000]  base_lr: 6.1505e-05 lr: 6.1505e-06  eta: 3 days, 22:52:29  time: 1.4163  data_time: 0.0176  memory: 34649  grad_norm: 3.0896  loss: 1.1828  caption_loss_cls: 2.0317  detection_loss_cls: 0.0288  detection_loss_reg: 0.3257  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2724  instance_segmentation_loss_cls: 0.0277  instance_segmentation_loss_reg: 0.3335  instance_segmentation_loss_poly: 0.8780
2024/01/09 11:16:48 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 11:16:48 - mmengine - INFO - Iter(train) [401000/640000]  base_lr: 6.1279e-05 lr: 6.1279e-06  eta: 3 days, 22:33:55  time: 1.4114  data_time: 0.0178  memory: 25557  grad_norm: 3.1307  loss: 1.1936  caption_loss_cls: 2.0331  detection_loss_cls: 0.0286  detection_loss_reg: 0.3245  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2719  instance_segmentation_loss_cls: 0.0278  instance_segmentation_loss_reg: 0.3338  instance_segmentation_loss_poly: 0.8794
2024/01/09 11:28:28 - mmengine - INFO - Iter(train) [401500/640000]  base_lr: 6.1053e-05 lr: 6.1053e-06  eta: 3 days, 22:19:39  time: 1.4129  data_time: 0.0180  memory: 25557  grad_norm: 3.0987  loss: 1.1839  caption_loss_cls: 2.0361  detection_loss_cls: 0.0284  detection_loss_reg: 0.3227  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2656  instance_segmentation_loss_cls: 0.0278  instance_segmentation_loss_reg: 0.3332  instance_segmentation_loss_poly: 0.8781
2024/01/09 11:40:28 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 11:40:28 - mmengine - INFO - Iter(train) [402000/640000]  base_lr: 6.0827e-05 lr: 6.0827e-06  eta: 3 days, 22:09:14  time: 1.4141  data_time: 0.0186  memory: 25557  grad_norm: 3.0682  loss: 1.1778  caption_loss_cls: 2.0360  detection_loss_cls: 0.0284  detection_loss_reg: 0.3241  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2687  instance_segmentation_loss_cls: 0.0278  instance_segmentation_loss_reg: 0.3321  instance_segmentation_loss_poly: 0.8753
2024/01/09 11:40:28 - mmengine - INFO - Saving checkpoint at 402000 iterations
2024/01/09 11:52:44 - mmengine - INFO - Iter(train) [402500/640000]  base_lr: 6.0601e-05 lr: 6.0601e-06  eta: 3 days, 22:01:26  time: 1.4151  data_time: 0.0203  memory: 25557  grad_norm: 3.0349  loss: 1.1667  caption_loss_cls: 2.0320  detection_loss_cls: 0.0283  detection_loss_reg: 0.3239  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2661  instance_segmentation_loss_cls: 0.0278  instance_segmentation_loss_reg: 0.3311  instance_segmentation_loss_poly: 0.8729
2024/01/09 12:03:54 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 12:03:54 - mmengine - INFO - Iter(train) [403000/640000]  base_lr: 6.0376e-05 lr: 6.0376e-06  eta: 3 days, 21:42:08  time: 1.4103  data_time: 0.0204  memory: 25557  grad_norm: 3.0130  loss: 1.1617  caption_loss_cls: 2.0319  detection_loss_cls: 0.0284  detection_loss_reg: 0.3239  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2617  instance_segmentation_loss_cls: 0.0276  instance_segmentation_loss_reg: 0.3299  instance_segmentation_loss_poly: 0.8712
2024/01/09 12:15:14 - mmengine - INFO - Iter(train) [403500/640000]  base_lr: 6.0151e-05 lr: 6.0151e-06  eta: 3 days, 21:24:57  time: 1.3957  data_time: 0.0203  memory: 25557  grad_norm: 3.0605  loss: 1.1650  caption_loss_cls: 2.0357  detection_loss_cls: 0.0282  detection_loss_reg: 0.3229  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2631  instance_segmentation_loss_cls: 0.0275  instance_segmentation_loss_reg: 0.3295  instance_segmentation_loss_poly: 0.8707
2024/01/09 12:26:38 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 12:26:38 - mmengine - INFO - Iter(train) [404000/640000]  base_lr: 5.9926e-05 lr: 5.9926e-06  eta: 3 days, 21:08:41  time: 1.3925  data_time: 0.0206  memory: 25557  grad_norm: 3.0675  loss: 1.1590  caption_loss_cls: 2.0244  detection_loss_cls: 0.0284  detection_loss_reg: 0.3238  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2610  instance_segmentation_loss_cls: 0.0276  instance_segmentation_loss_reg: 0.3303  instance_segmentation_loss_poly: 0.8732
2024/01/09 12:26:38 - mmengine - INFO - Saving checkpoint at 404000 iterations
2024/01/09 12:38:43 - mmengine - INFO - Iter(train) [404500/640000]  base_lr: 5.9701e-05 lr: 5.9701e-06  eta: 3 days, 20:59:08  time: 1.3976  data_time: 0.0272  memory: 25557  grad_norm: 3.0626  loss: 1.1540  caption_loss_cls: 2.0249  detection_loss_cls: 0.0281  detection_loss_reg: 0.3218  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2613  instance_segmentation_loss_cls: 0.0275  instance_segmentation_loss_reg: 0.3300  instance_segmentation_loss_poly: 0.8717
2024/01/09 12:50:57 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 12:50:57 - mmengine - INFO - Iter(train) [405000/640000]  base_lr: 5.9476e-05 lr: 5.9476e-06  eta: 3 days, 20:50:53  time: 1.4115  data_time: 0.0272  memory: 25557  grad_norm: 2.9998  loss: 1.1387  caption_loss_cls: 2.0228  detection_loss_cls: 0.0282  detection_loss_reg: 0.3228  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2626  instance_segmentation_loss_cls: 0.0275  instance_segmentation_loss_reg: 0.3309  instance_segmentation_loss_poly: 0.8738
2024/01/09 13:02:07 - mmengine - INFO - Iter(train) [405500/640000]  base_lr: 5.9252e-05 lr: 5.9252e-06  eta: 3 days, 20:32:33  time: 1.4039  data_time: 0.0272  memory: 25557  grad_norm: 3.0580  loss: 1.1560  caption_loss_cls: 2.0235  detection_loss_cls: 0.0280  detection_loss_reg: 0.3224  semantic_segmentation_loss_cls: 0.0071  grounding_loss_reg: 2.2656  instance_segmentation_loss_cls: 0.0275  instance_segmentation_loss_reg: 0.3303  instance_segmentation_loss_poly: 0.8732
2024/01/09 13:14:02 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 13:14:02 - mmengine - INFO - Iter(train) [406000/640000]  base_lr: 5.9028e-05 lr: 5.9028e-06  eta: 3 days, 20:21:27  time: 1.4028  data_time: 0.0267  memory: 25557  grad_norm: 3.1564  loss: 1.1762  caption_loss_cls: 2.0252  detection_loss_cls: 0.0280  detection_loss_reg: 0.3213  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2641  instance_segmentation_loss_cls: 0.0275  instance_segmentation_loss_reg: 0.3296  instance_segmentation_loss_poly: 0.8717
2024/01/09 13:14:02 - mmengine - INFO - Saving checkpoint at 406000 iterations
2024/01/09 13:25:48 - mmengine - INFO - Iter(train) [406500/640000]  base_lr: 5.8804e-05 lr: 5.8804e-06  eta: 3 days, 20:08:54  time: 1.3954  data_time: 0.0261  memory: 25557  grad_norm: 3.2003  loss: 1.1874  caption_loss_cls: 2.0333  detection_loss_cls: 0.0280  detection_loss_reg: 0.3226  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2659  instance_segmentation_loss_cls: 0.0274  instance_segmentation_loss_reg: 0.3278  instance_segmentation_loss_poly: 0.8680
2024/01/09 13:37:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 13:37:29 - mmengine - INFO - Iter(train) [407000/640000]  base_lr: 5.8581e-05 lr: 5.8581e-06  eta: 3 days, 19:55:40  time: 1.4032  data_time: 0.0263  memory: 25557  grad_norm: 3.2182  loss: 1.1827  caption_loss_cls: 2.0319  detection_loss_cls: 0.0280  detection_loss_reg: 0.3227  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2657  instance_segmentation_loss_cls: 0.0275  instance_segmentation_loss_reg: 0.3287  instance_segmentation_loss_poly: 0.8690
2024/01/09 13:48:36 - mmengine - INFO - Iter(train) [407500/640000]  base_lr: 5.8357e-05 lr: 5.8357e-06  eta: 3 days, 19:37:36  time: 1.3997  data_time: 0.0264  memory: 25557  grad_norm: 3.2326  loss: 1.1926  caption_loss_cls: 2.0282  detection_loss_cls: 0.0280  detection_loss_reg: 0.3243  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2643  instance_segmentation_loss_cls: 0.0276  instance_segmentation_loss_reg: 0.3299  instance_segmentation_loss_poly: 0.8725
2024/01/09 14:00:16 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 14:00:16 - mmengine - INFO - Iter(train) [408000/640000]  base_lr: 5.8134e-05 lr: 5.8134e-06  eta: 3 days, 19:24:26  time: 1.4036  data_time: 0.0264  memory: 25557  grad_norm: 3.2247  loss: 1.1920  caption_loss_cls: 2.0293  detection_loss_cls: 0.0281  detection_loss_reg: 0.3252  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2618  instance_segmentation_loss_cls: 0.0277  instance_segmentation_loss_reg: 0.3296  instance_segmentation_loss_poly: 0.8713
2024/01/09 14:00:16 - mmengine - INFO - Saving checkpoint at 408000 iterations
2024/01/09 14:12:44 - mmengine - INFO - Iter(train) [408500/640000]  base_lr: 5.7912e-05 lr: 5.7912e-06  eta: 3 days, 19:17:50  time: 1.4094  data_time: 0.0264  memory: 25557  grad_norm: 3.1964  loss: 1.1952  caption_loss_cls: 2.0334  detection_loss_cls: 0.0280  detection_loss_reg: 0.3232  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2575  instance_segmentation_loss_cls: 0.0276  instance_segmentation_loss_reg: 0.3296  instance_segmentation_loss_poly: 0.8701
2024/01/09 14:24:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 14:24:12 - mmengine - INFO - Iter(train) [409000/640000]  base_lr: 5.7689e-05 lr: 5.7689e-06  eta: 3 days, 19:03:03  time: 1.3979  data_time: 0.0264  memory: 25557  grad_norm: 3.2551  loss: 1.2126  caption_loss_cls: 2.0359  detection_loss_cls: 0.0281  detection_loss_reg: 0.3246  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2582  instance_segmentation_loss_cls: 0.0276  instance_segmentation_loss_reg: 0.3302  instance_segmentation_loss_poly: 0.8712
2024/01/09 14:35:51 - mmengine - INFO - Iter(train) [409500/640000]  base_lr: 5.7467e-05 lr: 5.7467e-06  eta: 3 days, 18:49:49  time: 1.4053  data_time: 0.0265  memory: 25557  grad_norm: 3.2271  loss: 1.2035  caption_loss_cls: 2.0319  detection_loss_cls: 0.0280  detection_loss_reg: 0.3238  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2584  instance_segmentation_loss_cls: 0.0277  instance_segmentation_loss_reg: 0.3313  instance_segmentation_loss_poly: 0.8736
2024/01/09 14:48:17 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 14:48:17 - mmengine - INFO - Iter(train) [410000/640000]  base_lr: 5.7245e-05 lr: 5.7245e-06  eta: 3 days, 18:42:35  time: 1.4128  data_time: 0.0268  memory: 25557  grad_norm: 3.1446  loss: 1.1863  caption_loss_cls: 2.0287  detection_loss_cls: 0.0279  detection_loss_reg: 0.3233  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2555  instance_segmentation_loss_cls: 0.0277  instance_segmentation_loss_reg: 0.3318  instance_segmentation_loss_poly: 0.8741
2024/01/09 14:48:17 - mmengine - INFO - Saving checkpoint at 410000 iterations
2024/01/09 15:00:02 - mmengine - INFO - Iter(train) [410500/640000]  base_lr: 5.7023e-05 lr: 5.7023e-06  eta: 3 days, 18:30:09  time: 1.4126  data_time: 0.0268  memory: 25557  grad_norm: 3.1895  loss: 1.1854  caption_loss_cls: 2.0285  detection_loss_cls: 0.0276  detection_loss_reg: 0.3208  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2536  instance_segmentation_loss_cls: 0.0276  instance_segmentation_loss_reg: 0.3319  instance_segmentation_loss_poly: 0.8742
2024/01/09 15:11:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 15:11:49 - mmengine - INFO - Iter(train) [411000/640000]  base_lr: 5.6802e-05 lr: 5.6802e-06  eta: 3 days, 18:17:52  time: 1.4140  data_time: 0.0268  memory: 25557  grad_norm: 3.1643  loss: 1.1852  caption_loss_cls: 2.0202  detection_loss_cls: 0.0277  detection_loss_reg: 0.3207  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2523  instance_segmentation_loss_cls: 0.0275  instance_segmentation_loss_reg: 0.3314  instance_segmentation_loss_poly: 0.8732
2024/01/09 15:22:53 - mmengine - INFO - Iter(train) [411500/640000]  base_lr: 5.6580e-05 lr: 5.6580e-06  eta: 3 days, 18:00:34  time: 1.4136  data_time: 0.0266  memory: 25557  grad_norm: 3.1586  loss: 1.1687  caption_loss_cls: 2.0215  detection_loss_cls: 0.0275  detection_loss_reg: 0.3184  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2513  instance_segmentation_loss_cls: 0.0273  instance_segmentation_loss_reg: 0.3298  instance_segmentation_loss_poly: 0.8696
2024/01/09 15:35:06 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 15:35:06 - mmengine - INFO - Iter(train) [412000/640000]  base_lr: 5.6360e-05 lr: 5.6360e-06  eta: 3 days, 17:51:28  time: 1.4217  data_time: 0.0267  memory: 25557  grad_norm: 3.1085  loss: 1.1561  caption_loss_cls: 2.0179  detection_loss_cls: 0.0276  detection_loss_reg: 0.3199  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2509  instance_segmentation_loss_cls: 0.0272  instance_segmentation_loss_reg: 0.3292  instance_segmentation_loss_poly: 0.8682
2024/01/09 15:35:06 - mmengine - INFO - Saving checkpoint at 412000 iterations
2024/01/09 15:47:02 - mmengine - INFO - Iter(train) [412500/640000]  base_lr: 5.6139e-05 lr: 5.6139e-06  eta: 3 days, 17:40:27  time: 1.4139  data_time: 0.0266  memory: 25557  grad_norm: 3.1523  loss: 1.1551  caption_loss_cls: 2.0116  detection_loss_cls: 0.0275  detection_loss_reg: 0.3196  semantic_segmentation_loss_cls: 0.0070  grounding_loss_reg: 2.2508  instance_segmentation_loss_cls: 0.0271  instance_segmentation_loss_reg: 0.3278  instance_segmentation_loss_poly: 0.8657
2024/01/09 15:58:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 15:58:29 - mmengine - INFO - Iter(train) [413000/640000]  base_lr: 5.5918e-05 lr: 5.5918e-06  eta: 3 days, 17:25:55  time: 1.4134  data_time: 0.0266  memory: 25557  grad_norm: 3.1127  loss: 1.1511  caption_loss_cls: 2.0099  detection_loss_cls: 0.0276  detection_loss_reg: 0.3217  semantic_segmentation_loss_cls: 0.0069  grounding_loss_reg: 2.2501  instance_segmentation_loss_cls: 0.0272  instance_segmentation_loss_reg: 0.3274  instance_segmentation_loss_poly: 0.8657
2024/01/09 16:10:21 - mmengine - INFO - Iter(train) [413500/640000]  base_lr: 5.5698e-05 lr: 5.5698e-06  eta: 3 days, 17:14:26  time: 1.4168  data_time: 0.0265  memory: 25557  grad_norm: 3.0913  loss: 1.1467  caption_loss_cls: 2.0152  detection_loss_cls: 0.0277  detection_loss_reg: 0.3226  semantic_segmentation_loss_cls: 0.0069  grounding_loss_reg: 2.2485  instance_segmentation_loss_cls: 0.0269  instance_segmentation_loss_reg: 0.3257  instance_segmentation_loss_poly: 0.8632
2024/01/09 16:21:47 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 16:21:47 - mmengine - INFO - Iter(train) [414000/640000]  base_lr: 5.5478e-05 lr: 5.5478e-06  eta: 3 days, 16:59:58  time: 1.4018  data_time: 0.0262  memory: 25557  grad_norm: 3.1245  loss: 1.1445  caption_loss_cls: 2.0134  detection_loss_cls: 0.0276  detection_loss_reg: 0.3209  semantic_segmentation_loss_cls: 0.0069  grounding_loss_reg: 2.2453  instance_segmentation_loss_cls: 0.0268  instance_segmentation_loss_reg: 0.3238  instance_segmentation_loss_poly: 0.8599
2024/01/09 16:21:47 - mmengine - INFO - Saving checkpoint at 414000 iterations
2024/01/09 16:33:39 - mmengine - INFO - Iter(train) [414500/640000]  base_lr: 5.5259e-05 lr: 5.5259e-06  eta: 3 days, 16:48:28  time: 1.4035  data_time: 0.0264  memory: 25557  grad_norm: 3.0815  loss: 1.1555  caption_loss_cls: 2.0183  detection_loss_cls: 0.0275  detection_loss_reg: 0.3199  semantic_segmentation_loss_cls: 0.0069  grounding_loss_reg: 2.2427  instance_segmentation_loss_cls: 0.0270  instance_segmentation_loss_reg: 0.3248  instance_segmentation_loss_poly: 0.8617
2024/01/09 16:45:09 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 16:45:09 - mmengine - INFO - Iter(train) [415000/640000]  base_lr: 5.5039e-05 lr: 5.5039e-06  eta: 3 days, 16:34:35  time: 1.3994  data_time: 0.0263  memory: 25557  grad_norm: 3.1136  loss: 1.1521  caption_loss_cls: 2.0192  detection_loss_cls: 0.0274  detection_loss_reg: 0.3201  semantic_segmentation_loss_cls: 0.0069  grounding_loss_reg: 2.2393  instance_segmentation_loss_cls: 0.0269  instance_segmentation_loss_reg: 0.3235  instance_segmentation_loss_poly: 0.8582
2024/01/09 16:56:39 - mmengine - INFO - Iter(train) [415500/640000]  base_lr: 5.4820e-05 lr: 5.4820e-06  eta: 3 days, 16:20:47  time: 1.4057  data_time: 0.0263  memory: 25557  grad_norm: 3.0994  loss: 1.1424  caption_loss_cls: 2.0230  detection_loss_cls: 0.0273  detection_loss_reg: 0.3184  semantic_segmentation_loss_cls: 0.0069  grounding_loss_reg: 2.2310  instance_segmentation_loss_cls: 0.0267  instance_segmentation_loss_reg: 0.3223  instance_segmentation_loss_poly: 0.8549
2024/01/09 17:08:13 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 17:08:13 - mmengine - INFO - Iter(train) [416000/640000]  base_lr: 5.4601e-05 lr: 5.4601e-06  eta: 3 days, 16:07:25  time: 1.3960  data_time: 0.0262  memory: 25557  grad_norm: 3.1423  loss: 1.1532  caption_loss_cls: 2.0228  detection_loss_cls: 0.0275  detection_loss_reg: 0.3216  semantic_segmentation_loss_cls: 0.0069  grounding_loss_reg: 2.2307  instance_segmentation_loss_cls: 0.0266  instance_segmentation_loss_reg: 0.3226  instance_segmentation_loss_poly: 0.8557
2024/01/09 17:08:13 - mmengine - INFO - Saving checkpoint at 416000 iterations
2024/01/09 17:20:22 - mmengine - INFO - Iter(train) [416500/640000]  base_lr: 5.4383e-05 lr: 5.4383e-06  eta: 3 days, 15:57:44  time: 1.3992  data_time: 0.0263  memory: 25557  grad_norm: 3.1551  loss: 1.1653  caption_loss_cls: 2.0233  detection_loss_cls: 0.0275  detection_loss_reg: 0.3224  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2328  instance_segmentation_loss_cls: 0.0267  instance_segmentation_loss_reg: 0.3238  instance_segmentation_loss_poly: 0.8586
2024/01/09 17:32:20 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 17:32:20 - mmengine - INFO - Iter(train) [417000/640000]  base_lr: 5.4165e-05 lr: 5.4165e-06  eta: 3 days, 15:46:49  time: 1.4070  data_time: 0.0263  memory: 25557  grad_norm: 3.1322  loss: 1.1531  caption_loss_cls: 2.0236  detection_loss_cls: 0.0275  detection_loss_reg: 0.3231  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2302  instance_segmentation_loss_cls: 0.0268  instance_segmentation_loss_reg: 0.3244  instance_segmentation_loss_poly: 0.8612
2024/01/09 17:43:48 - mmengine - INFO - Iter(train) [417500/640000]  base_lr: 5.3947e-05 lr: 5.3947e-06  eta: 3 days, 15:32:58  time: 1.4009  data_time: 0.0263  memory: 25557  grad_norm: 3.2003  loss: 1.1570  caption_loss_cls: 2.0312  detection_loss_cls: 0.0273  detection_loss_reg: 0.3215  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2297  instance_segmentation_loss_cls: 0.0265  instance_segmentation_loss_reg: 0.3225  instance_segmentation_loss_poly: 0.8567
2024/01/09 17:55:09 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 17:55:09 - mmengine - INFO - Iter(train) [418000/640000]  base_lr: 5.3729e-05 lr: 5.3729e-06  eta: 3 days, 15:18:27  time: 1.3997  data_time: 0.0264  memory: 25557  grad_norm: 3.1909  loss: 1.1693  caption_loss_cls: 2.0353  detection_loss_cls: 0.0274  detection_loss_reg: 0.3217  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2323  instance_segmentation_loss_cls: 0.0266  instance_segmentation_loss_reg: 0.3228  instance_segmentation_loss_poly: 0.8576
2024/01/09 17:55:09 - mmengine - INFO - Saving checkpoint at 418000 iterations
2024/01/09 18:07:31 - mmengine - INFO - Iter(train) [418500/640000]  base_lr: 5.3511e-05 lr: 5.3511e-06  eta: 3 days, 15:09:52  time: 1.4071  data_time: 0.0264  memory: 25557  grad_norm: 3.1853  loss: 1.1594  caption_loss_cls: 2.0303  detection_loss_cls: 0.0273  detection_loss_reg: 0.3219  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2396  instance_segmentation_loss_cls: 0.0267  instance_segmentation_loss_reg: 0.3227  instance_segmentation_loss_poly: 0.8564
2024/01/09 18:18:42 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 18:18:42 - mmengine - INFO - Iter(train) [419000/640000]  base_lr: 5.3294e-05 lr: 5.3294e-06  eta: 3 days, 14:54:29  time: 1.4023  data_time: 0.0264  memory: 25557  grad_norm: 3.2132  loss: 1.1647  caption_loss_cls: 2.0252  detection_loss_cls: 0.0273  detection_loss_reg: 0.3213  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2355  instance_segmentation_loss_cls: 0.0267  instance_segmentation_loss_reg: 0.3221  instance_segmentation_loss_poly: 0.8532
2024/01/09 18:30:31 - mmengine - INFO - Iter(train) [419500/640000]  base_lr: 5.3077e-05 lr: 5.3077e-06  eta: 3 days, 14:42:51  time: 1.4073  data_time: 0.0266  memory: 25557  grad_norm: 3.1873  loss: 1.1574  caption_loss_cls: 2.0197  detection_loss_cls: 0.0271  detection_loss_reg: 0.3204  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2291  instance_segmentation_loss_cls: 0.0266  instance_segmentation_loss_reg: 0.3205  instance_segmentation_loss_poly: 0.8490
2024/01/09 18:42:16 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 18:42:16 - mmengine - INFO - Iter(train) [420000/640000]  base_lr: 5.2861e-05 lr: 5.2861e-06  eta: 3 days, 14:30:43  time: 1.4100  data_time: 0.0266  memory: 25557  grad_norm: 3.1951  loss: 1.1604  caption_loss_cls: 2.0131  detection_loss_cls: 0.0271  detection_loss_reg: 0.3195  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2352  instance_segmentation_loss_cls: 0.0266  instance_segmentation_loss_reg: 0.3202  instance_segmentation_loss_poly: 0.8488
2024/01/09 18:42:16 - mmengine - INFO - Saving checkpoint at 420000 iterations
2024/01/09 18:54:03 - mmengine - INFO - Evaluating bbox...
2024/01/09 18:55:01 - mmengine - INFO - bbox_mAP_copypaste: 0.515 0.699 0.563 0.360 0.561 0.664
2024/01/09 18:55:01 - mmengine - INFO - Evaluating segm...
2024/01/09 18:56:14 - mmengine - INFO - segm_mAP_copypaste: 0.345 0.616 0.343 0.203 0.391 0.530
2024/01/09 18:58:23 - mmengine - INFO - Evaluating bbox...
2024/01/09 18:59:21 - mmengine - INFO - bbox_mAP_copypaste: 0.513 0.696 0.561 0.352 0.559 0.663
2024/01/09 19:04:09 - mmengine - INFO - per class results:
2024/01/09 19:04:09 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.13 | 89.57 |
|       building      | 82.17 | 90.32 |
|         sky         | 93.37 | 97.79 |
|        floor        | 82.15 | 90.65 |
|         tree        | 74.47 |  88.4 |
|       ceiling       | 85.56 | 94.08 |
|         road        | 84.46 | 91.94 |
|         bed         | 90.47 | 96.55 |
|      windowpane     | 64.27 | 80.26 |
|        grass        | 66.87 | 79.45 |
|       cabinet       | 63.26 | 75.39 |
|       sidewalk      | 67.88 | 76.21 |
|        person       | 81.25 | 91.17 |
|        earth        | 36.63 | 50.25 |
|         door        | 57.27 | 70.64 |
|        table        | 64.83 | 81.52 |
|       mountain      | 60.07 | 77.99 |
|        plant        | 53.17 | 63.52 |
|       curtain       | 77.23 | 88.29 |
|        chair        | 62.04 | 75.15 |
|         car         | 84.34 | 92.35 |
|        water        | 62.63 | 76.43 |
|       painting      | 74.95 |  87.9 |
|         sofa        | 71.25 | 82.26 |
|        shelf        | 46.75 | 66.07 |
|        house        | 47.81 | 66.63 |
|         sea         |  63.3 | 74.32 |
|        mirror       | 68.19 | 77.21 |
|         rug         | 63.35 | 73.33 |
|        field        | 30.54 |  57.2 |
|       armchair      | 51.52 | 73.62 |
|         seat        | 67.49 | 81.72 |
|        fence        | 48.26 | 62.88 |
|         desk        | 54.81 | 70.21 |
|         rock        |  50.9 | 72.06 |
|       wardrobe      | 46.61 | 66.71 |
|         lamp        | 67.46 | 79.69 |
|       bathtub       | 80.93 | 88.92 |
|       railing       | 40.96 | 57.95 |
|       cushion       |  63.1 | 74.88 |
|         base        | 17.26 | 23.46 |
|         box         | 29.01 | 37.37 |
|        column       | 55.28 | 64.16 |
|      signboard      | 39.58 | 51.99 |
|   chest of drawers  | 35.86 | 51.11 |
|       counter       |  23.4 | 30.12 |
|         sand        | 42.96 | 55.96 |
|         sink        | 75.99 | 85.86 |
|      skyscraper     | 47.69 | 60.37 |
|      fireplace      | 75.86 | 87.86 |
|     refrigerator    | 76.29 | 82.77 |
|      grandstand     | 46.08 | 80.16 |
|         path        | 19.06 | 29.24 |
|        stairs       | 40.04 | 47.79 |
|        runway       |  74.2 | 94.94 |
|         case        | 50.78 | 71.08 |
|      pool table     | 92.05 | 95.83 |
|        pillow       | 59.12 | 68.67 |
|     screen door     | 78.19 | 80.64 |
|       stairway      | 32.92 | 41.73 |
|        river        | 16.27 | 37.23 |
|        bridge       | 67.31 | 79.35 |
|       bookcase      | 40.22 | 61.62 |
|        blind        | 39.44 | 45.59 |
|     coffee table    | 64.16 | 81.92 |
|        toilet       |  89.2 | 93.64 |
|        flower       | 40.96 | 58.79 |
|         book        | 48.54 | 64.86 |
|         hill        | 17.42 | 25.89 |
|        bench        | 63.79 | 73.05 |
|      countertop     | 65.07 | 76.85 |
|        stove        | 80.51 | 86.78 |
|         palm        | 47.37 | 67.37 |
|    kitchen island   | 39.86 | 64.92 |
|       computer      | 78.27 | 88.33 |
|     swivel chair    | 45.78 | 64.11 |
|         boat        | 65.73 | 89.01 |
|         bar         | 37.43 | 49.98 |
|    arcade machine   | 68.28 |  71.0 |
|        hovel        | 45.09 | 53.98 |
|         bus         |  86.6 | 95.48 |
|        towel        | 69.56 | 81.57 |
|        light        | 54.09 | 63.93 |
|        truck        | 45.19 | 63.43 |
|        tower        | 36.72 |  61.1 |
|      chandelier     | 67.49 | 77.58 |
|        awning       | 30.79 | 42.01 |
|     streetlight     | 34.52 | 51.16 |
|        booth        | 43.87 | 60.88 |
| television receiver |  71.5 | 87.82 |
|       airplane      | 70.55 |  85.4 |
|      dirt track     |  8.76 | 30.82 |
|       apparel       | 31.52 | 47.94 |
|         pole        | 24.26 |  34.2 |
|         land        |  1.73 |  2.39 |
|      bannister      | 15.39 | 20.04 |
|      escalator      | 19.81 | 21.71 |
|       ottoman       | 53.07 | 71.92 |
|        bottle       | 26.81 | 36.32 |
|        buffet       | 55.12 | 66.72 |
|        poster       | 33.95 | 40.42 |
|        stage        | 11.37 | 20.19 |
|         van         | 37.91 | 48.34 |
|         ship        | 30.66 | 32.92 |
|       fountain      | 20.62 | 20.94 |
|    conveyer belt    | 52.12 | 92.35 |
|        canopy       | 34.45 | 46.99 |
|        washer       | 70.47 | 72.87 |
|      plaything      | 35.39 |  51.5 |
|    swimming pool    | 67.15 | 68.82 |
|        stool        | 45.13 |  62.2 |
|        barrel       | 18.29 | 67.68 |
|        basket       |  34.7 | 45.15 |
|      waterfall      | 73.95 | 86.28 |
|         tent        | 74.86 | 97.37 |
|         bag         | 24.53 | 35.42 |
|       minibike      | 73.72 | 85.26 |
|        cradle       | 81.98 |  96.3 |
|         oven        | 49.59 | 58.54 |
|         ball        |  46.6 | 55.69 |
|         food        | 58.48 | 67.09 |
|         step        |  9.12 | 11.62 |
|         tank        | 49.54 | 53.49 |
|      trade name     | 25.23 | 30.14 |
|      microwave      | 87.22 | 92.95 |
|         pot         | 51.27 | 59.56 |
|        animal       | 65.15 | 68.79 |
|       bicycle       | 58.11 |  72.4 |
|         lake        | 55.87 | 62.27 |
|      dishwasher     | 70.37 | 86.41 |
|        screen       |  58.7 | 70.01 |
|       blanket       | 29.25 | 34.98 |
|      sculpture      | 69.21 | 82.22 |
|         hood        | 62.35 | 73.14 |
|        sconce       | 49.57 | 59.58 |
|         vase        | 43.92 | 63.16 |
|    traffic light    | 40.84 | 57.23 |
|         tray        | 19.11 | 27.56 |
|        ashcan       | 41.99 | 55.79 |
|         fan         |  64.5 |  76.1 |
|         pier        | 36.31 | 39.32 |
|      crt screen     | 10.05 | 34.12 |
|        plate        | 58.02 | 72.84 |
|       monitor       | 10.26 | 12.24 |
|    bulletin board   | 54.72 | 68.11 |
|        shower       |  4.45 |  5.94 |
|       radiator      | 59.38 | 68.22 |
|        glass        | 15.63 | 16.58 |
|        clock        | 40.86 | 51.83 |
|         flag        | 52.49 | 60.16 |
+---------------------+-------+-------+
2024/01/09 19:04:21 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5130  coco/bbox_mAP_50: 0.6960  coco/bbox_mAP_75: 0.5610  coco/bbox_mAP_s: 0.3520  coco/bbox_mAP_m: 0.5590  coco/bbox_mAP_l: 0.6630  coco/segm_mAP: 0.3450  coco/segm_mAP_50: 0.6160  coco/segm_mAP_75: 0.3430  coco/segm_mAP_s: 0.2030  coco/segm_mAP_m: 0.3910  coco/segm_mAP_l: 0.5300  Bleu_1: 0.7638  Bleu_2: 0.6002  Bleu_3: 0.4573  Bleu_4: 0.3449  METEOR: 0.2760  ROUGE_L: 0.5620  CIDEr: 1.1311  SPICE: 0.2061  aAcc: 84.0900  mIoU: 52.0100  mAcc: 64.1900  visual-grounding/miou: 0.8211  visual-grounding/acc: 0.8801  data_time: 0.0120  time: 1.8949
2024/01/09 19:15:49 - mmengine - INFO - Iter(train) [420500/640000]  base_lr: 5.2644e-05 lr: 5.2644e-06  eta: 3 days, 14:17:19  time: 1.4003  data_time: 0.0202  memory: 34647  grad_norm: 3.2060  loss: 1.1534  caption_loss_cls: 2.0123  detection_loss_cls: 0.0269  detection_loss_reg: 0.3182  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2386  instance_segmentation_loss_cls: 0.0265  instance_segmentation_loss_reg: 0.3210  instance_segmentation_loss_poly: 0.8497
2024/01/09 19:27:14 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 19:27:14 - mmengine - INFO - Iter(train) [421000/640000]  base_lr: 5.2428e-05 lr: 5.2428e-06  eta: 3 days, 14:03:29  time: 1.3922  data_time: 0.0201  memory: 25554  grad_norm: 3.2652  loss: 1.1576  caption_loss_cls: 2.0094  detection_loss_cls: 0.0269  detection_loss_reg: 0.3186  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2347  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3210  instance_segmentation_loss_poly: 0.8499
2024/01/09 19:38:44 - mmengine - INFO - Iter(train) [421500/640000]  base_lr: 5.2213e-05 lr: 5.2213e-06  eta: 3 days, 13:50:08  time: 1.3926  data_time: 0.0201  memory: 25554  grad_norm: 3.2280  loss: 1.1543  caption_loss_cls: 2.0104  detection_loss_cls: 0.0270  detection_loss_reg: 0.3206  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2358  instance_segmentation_loss_cls: 0.0265  instance_segmentation_loss_reg: 0.3214  instance_segmentation_loss_poly: 0.8504
2024/01/09 19:50:07 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 19:50:07 - mmengine - INFO - Iter(train) [422000/640000]  base_lr: 5.1997e-05 lr: 5.1997e-06  eta: 3 days, 13:36:14  time: 1.3932  data_time: 0.0202  memory: 25554  grad_norm: 3.2435  loss: 1.1557  caption_loss_cls: 2.0106  detection_loss_cls: 0.0272  detection_loss_reg: 0.3212  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2369  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3217  instance_segmentation_loss_poly: 0.8510
2024/01/09 19:50:07 - mmengine - INFO - Saving checkpoint at 422000 iterations
2024/01/09 20:02:12 - mmengine - INFO - Iter(train) [422500/640000]  base_lr: 5.1782e-05 lr: 5.1782e-06  eta: 3 days, 13:25:58  time: 1.3890  data_time: 0.0202  memory: 25554  grad_norm: 3.2380  loss: 1.1481  caption_loss_cls: 2.0098  detection_loss_cls: 0.0273  detection_loss_reg: 0.3210  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2347  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3209  instance_segmentation_loss_poly: 0.8505
2024/01/09 20:13:59 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 20:13:59 - mmengine - INFO - Iter(train) [423000/640000]  base_lr: 5.1567e-05 lr: 5.1567e-06  eta: 3 days, 13:14:10  time: 1.3980  data_time: 0.0203  memory: 25554  grad_norm: 3.2294  loss: 1.1510  caption_loss_cls: 2.0033  detection_loss_cls: 0.0273  detection_loss_reg: 0.3219  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2333  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3209  instance_segmentation_loss_poly: 0.8505
2024/01/09 20:25:43 - mmengine - INFO - Iter(train) [423500/640000]  base_lr: 5.1353e-05 lr: 5.1353e-06  eta: 3 days, 13:02:03  time: 1.3964  data_time: 0.0203  memory: 25554  grad_norm: 3.3065  loss: 1.1524  caption_loss_cls: 2.0014  detection_loss_cls: 0.0271  detection_loss_reg: 0.3207  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2323  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3212  instance_segmentation_loss_poly: 0.8504
2024/01/09 20:37:30 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 20:37:30 - mmengine - INFO - Iter(train) [424000/640000]  base_lr: 5.1138e-05 lr: 5.1138e-06  eta: 3 days, 12:50:12  time: 1.3969  data_time: 0.0203  memory: 25554  grad_norm: 3.2971  loss: 1.1495  caption_loss_cls: 2.0078  detection_loss_cls: 0.0272  detection_loss_reg: 0.3227  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2343  instance_segmentation_loss_cls: 0.0263  instance_segmentation_loss_reg: 0.3205  instance_segmentation_loss_poly: 0.8489
2024/01/09 20:37:30 - mmengine - INFO - Saving checkpoint at 424000 iterations
2024/01/09 20:49:52 - mmengine - INFO - Iter(train) [424500/640000]  base_lr: 5.0924e-05 lr: 5.0924e-06  eta: 3 days, 12:41:17  time: 1.4100  data_time: 0.0268  memory: 25554  grad_norm: 3.2456  loss: 1.1393  caption_loss_cls: 2.0109  detection_loss_cls: 0.0271  detection_loss_reg: 0.3219  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2312  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3200  instance_segmentation_loss_poly: 0.8491
2024/01/09 21:01:25 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 21:01:25 - mmengine - INFO - Iter(train) [425000/640000]  base_lr: 5.0711e-05 lr: 5.0711e-06  eta: 3 days, 12:28:15  time: 1.4118  data_time: 0.0270  memory: 25554  grad_norm: 3.2583  loss: 1.1439  caption_loss_cls: 2.0098  detection_loss_cls: 0.0271  detection_loss_reg: 0.3217  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2271  instance_segmentation_loss_cls: 0.0263  instance_segmentation_loss_reg: 0.3200  instance_segmentation_loss_poly: 0.8504
2024/01/09 21:13:25 - mmengine - INFO - Iter(train) [425500/640000]  base_lr: 5.0497e-05 lr: 5.0497e-06  eta: 3 days, 12:17:28  time: 1.4194  data_time: 0.0271  memory: 25554  grad_norm: 3.2345  loss: 1.1436  caption_loss_cls: 2.0110  detection_loss_cls: 0.0269  detection_loss_reg: 0.3210  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2225  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3202  instance_segmentation_loss_poly: 0.8513
2024/01/09 21:25:02 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 21:25:02 - mmengine - INFO - Iter(train) [426000/640000]  base_lr: 5.0284e-05 lr: 5.0284e-06  eta: 3 days, 12:04:52  time: 1.4229  data_time: 0.0271  memory: 25554  grad_norm: 3.2213  loss: 1.1418  caption_loss_cls: 2.0076  detection_loss_cls: 0.0269  detection_loss_reg: 0.3213  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2223  instance_segmentation_loss_cls: 0.0263  instance_segmentation_loss_reg: 0.3200  instance_segmentation_loss_poly: 0.8505
2024/01/09 21:25:02 - mmengine - INFO - Saving checkpoint at 426000 iterations
2024/01/09 21:37:25 - mmengine - INFO - Iter(train) [426500/640000]  base_lr: 5.0071e-05 lr: 5.0071e-06  eta: 3 days, 11:55:47  time: 1.4274  data_time: 0.0271  memory: 25554  grad_norm: 3.2186  loss: 1.1445  caption_loss_cls: 2.0143  detection_loss_cls: 0.0269  detection_loss_reg: 0.3225  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2236  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3223  instance_segmentation_loss_poly: 0.8561
2024/01/09 21:49:07 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 21:49:07 - mmengine - INFO - Iter(train) [427000/640000]  base_lr: 4.9859e-05 lr: 4.9859e-06  eta: 3 days, 11:43:32  time: 1.4261  data_time: 0.0271  memory: 25554  grad_norm: 3.1697  loss: 1.1419  caption_loss_cls: 2.0196  detection_loss_cls: 0.0268  detection_loss_reg: 0.3206  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2215  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3222  instance_segmentation_loss_poly: 0.8555
2024/01/09 22:00:43 - mmengine - INFO - Iter(train) [427500/640000]  base_lr: 4.9647e-05 lr: 4.9647e-06  eta: 3 days, 11:30:52  time: 1.4243  data_time: 0.0272  memory: 25554  grad_norm: 3.1409  loss: 1.1559  caption_loss_cls: 2.0119  detection_loss_cls: 0.0266  detection_loss_reg: 0.3188  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2212  instance_segmentation_loss_cls: 0.0263  instance_segmentation_loss_reg: 0.3215  instance_segmentation_loss_poly: 0.8518
2024/01/09 22:12:55 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 22:12:55 - mmengine - INFO - Iter(train) [428000/640000]  base_lr: 4.9435e-05 lr: 4.9435e-06  eta: 3 days, 11:20:49  time: 1.4305  data_time: 0.0273  memory: 25554  grad_norm: 3.1508  loss: 1.1549  caption_loss_cls: 2.0057  detection_loss_cls: 0.0266  detection_loss_reg: 0.3185  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2161  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3228  instance_segmentation_loss_poly: 0.8558
2024/01/09 22:12:55 - mmengine - INFO - Saving checkpoint at 428000 iterations
2024/01/09 22:25:07 - mmengine - INFO - Iter(train) [428500/640000]  base_lr: 4.9223e-05 lr: 4.9223e-06  eta: 3 days, 11:10:49  time: 1.4280  data_time: 0.0272  memory: 25554  grad_norm: 3.2060  loss: 1.1606  caption_loss_cls: 1.9964  detection_loss_cls: 0.0264  detection_loss_reg: 0.3167  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2176  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3218  instance_segmentation_loss_poly: 0.8547
2024/01/09 22:37:08 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 22:37:08 - mmengine - INFO - Iter(train) [429000/640000]  base_lr: 4.9012e-05 lr: 4.9012e-06  eta: 3 days, 10:59:53  time: 1.4350  data_time: 0.0272  memory: 25554  grad_norm: 3.1438  loss: 1.1511  caption_loss_cls: 1.9912  detection_loss_cls: 0.0263  detection_loss_reg: 0.3166  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2177  instance_segmentation_loss_cls: 0.0263  instance_segmentation_loss_reg: 0.3210  instance_segmentation_loss_poly: 0.8536
2024/01/09 22:49:00 - mmengine - INFO - Iter(train) [429500/640000]  base_lr: 4.8801e-05 lr: 4.8801e-06  eta: 3 days, 10:48:19  time: 1.4329  data_time: 0.0271  memory: 25554  grad_norm: 3.0994  loss: 1.1357  caption_loss_cls: 1.9902  detection_loss_cls: 0.0260  detection_loss_reg: 0.3143  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2134  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3211  instance_segmentation_loss_poly: 0.8545
2024/01/09 23:01:02 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 23:01:02 - mmengine - INFO - Iter(train) [430000/640000]  base_lr: 4.8590e-05 lr: 4.8590e-06  eta: 3 days, 10:37:30  time: 1.4392  data_time: 0.0272  memory: 25554  grad_norm: 3.1073  loss: 1.1273  caption_loss_cls: 1.9943  detection_loss_cls: 0.0261  detection_loss_reg: 0.3147  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2105  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3212  instance_segmentation_loss_poly: 0.8555
2024/01/09 23:01:02 - mmengine - INFO - Saving checkpoint at 430000 iterations
2024/01/09 23:13:18 - mmengine - INFO - Iter(train) [430500/640000]  base_lr: 4.8380e-05 lr: 4.8380e-06  eta: 3 days, 10:27:36  time: 1.4375  data_time: 0.0273  memory: 25554  grad_norm: 3.1249  loss: 1.1290  caption_loss_cls: 1.9932  detection_loss_cls: 0.0261  detection_loss_reg: 0.3136  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2087  instance_segmentation_loss_cls: 0.0265  instance_segmentation_loss_reg: 0.3212  instance_segmentation_loss_poly: 0.8558
2024/01/09 23:24:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 23:24:29 - mmengine - INFO - Iter(train) [431000/640000]  base_lr: 4.8170e-05 lr: 4.8170e-06  eta: 3 days, 10:13:11  time: 1.4297  data_time: 0.0272  memory: 25554  grad_norm: 3.1871  loss: 1.1379  caption_loss_cls: 2.0005  detection_loss_cls: 0.0261  detection_loss_reg: 0.3149  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2067  instance_segmentation_loss_cls: 0.0266  instance_segmentation_loss_reg: 0.3219  instance_segmentation_loss_poly: 0.8571
2024/01/09 23:36:04 - mmengine - INFO - Iter(train) [431500/640000]  base_lr: 4.7960e-05 lr: 4.7960e-06  eta: 3 days, 10:00:27  time: 1.4293  data_time: 0.0272  memory: 25554  grad_norm: 3.2098  loss: 1.1307  caption_loss_cls: 1.9946  detection_loss_cls: 0.0261  detection_loss_reg: 0.3148  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2051  instance_segmentation_loss_cls: 0.0266  instance_segmentation_loss_reg: 0.3231  instance_segmentation_loss_poly: 0.8595
2024/01/09 23:47:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/09 23:47:50 - mmengine - INFO - Iter(train) [432000/640000]  base_lr: 4.7751e-05 lr: 4.7751e-06  eta: 3 days, 9:48:32  time: 1.4231  data_time: 0.0271  memory: 25554  grad_norm: 3.2366  loss: 1.1298  caption_loss_cls: 1.9996  detection_loss_cls: 0.0261  detection_loss_reg: 0.3149  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2057  instance_segmentation_loss_cls: 0.0267  instance_segmentation_loss_reg: 0.3233  instance_segmentation_loss_poly: 0.8592
2024/01/09 23:47:50 - mmengine - INFO - Saving checkpoint at 432000 iterations
2024/01/09 23:59:43 - mmengine - INFO - Iter(train) [432500/640000]  base_lr: 4.7541e-05 lr: 4.7541e-06  eta: 3 days, 9:37:01  time: 1.4181  data_time: 0.0272  memory: 25554  grad_norm: 3.2250  loss: 1.1278  caption_loss_cls: 2.0019  detection_loss_cls: 0.0259  detection_loss_reg: 0.3140  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1989  instance_segmentation_loss_cls: 0.0267  instance_segmentation_loss_reg: 0.3245  instance_segmentation_loss_poly: 0.8618
2024/01/10 00:11:42 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/10 00:11:42 - mmengine - INFO - Iter(train) [433000/640000]  base_lr: 4.7333e-05 lr: 4.7333e-06  eta: 3 days, 9:25:56  time: 1.4179  data_time: 0.0272  memory: 25554  grad_norm: 3.2560  loss: 1.1394  caption_loss_cls: 2.0082  detection_loss_cls: 0.0259  detection_loss_reg: 0.3140  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.2002  instance_segmentation_loss_cls: 0.0267  instance_segmentation_loss_reg: 0.3243  instance_segmentation_loss_poly: 0.8594
2024/01/10 00:23:22 - mmengine - INFO - Iter(train) [433500/640000]  base_lr: 4.7124e-05 lr: 4.7124e-06  eta: 3 days, 9:13:34  time: 1.4148  data_time: 0.0272  memory: 25554  grad_norm: 3.3186  loss: 1.1493  caption_loss_cls: 2.0097  detection_loss_cls: 0.0262  detection_loss_reg: 0.3164  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1960  instance_segmentation_loss_cls: 0.0266  instance_segmentation_loss_reg: 0.3230  instance_segmentation_loss_poly: 0.8561
2024/01/10 00:35:09 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/10 00:35:09 - mmengine - INFO - Iter(train) [434000/640000]  base_lr: 4.6916e-05 lr: 4.6916e-06  eta: 3 days, 9:01:41  time: 1.4110  data_time: 0.0271  memory: 25554  grad_norm: 3.3647  loss: 1.1431  caption_loss_cls: 2.0100  detection_loss_cls: 0.0261  detection_loss_reg: 0.3166  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1951  instance_segmentation_loss_cls: 0.0266  instance_segmentation_loss_reg: 0.3244  instance_segmentation_loss_poly: 0.8589
2024/01/10 00:35:09 - mmengine - INFO - Saving checkpoint at 434000 iterations
2024/01/10 00:47:34 - mmengine - INFO - Iter(train) [434500/640000]  base_lr: 4.6708e-05 lr: 4.6708e-06  eta: 3 days, 8:52:09  time: 1.4130  data_time: 0.0270  memory: 25554  grad_norm: 3.3472  loss: 1.1317  caption_loss_cls: 2.0049  detection_loss_cls: 0.0260  detection_loss_reg: 0.3160  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1945  instance_segmentation_loss_cls: 0.0263  instance_segmentation_loss_reg: 0.3232  instance_segmentation_loss_poly: 0.8563
2024/01/10 00:59:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/10 00:59:03 - mmengine - INFO - Iter(train) [435000/640000]  base_lr: 4.6501e-05 lr: 4.6501e-06  eta: 3 days, 8:39:08  time: 1.4177  data_time: 0.0270  memory: 25554  grad_norm: 3.3379  loss: 1.1209  caption_loss_cls: 2.0022  detection_loss_cls: 0.0259  detection_loss_reg: 0.3155  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1935  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3235  instance_segmentation_loss_poly: 0.8567
2024/01/10 01:10:37 - mmengine - INFO - Iter(train) [435500/640000]  base_lr: 4.6293e-05 lr: 4.6293e-06  eta: 3 days, 8:26:28  time: 1.4176  data_time: 0.0269  memory: 25554  grad_norm: 3.3591  loss: 1.1249  caption_loss_cls: 2.0028  detection_loss_cls: 0.0259  detection_loss_reg: 0.3163  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1953  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3235  instance_segmentation_loss_poly: 0.8570
2024/01/10 01:22:32 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/10 01:22:32 - mmengine - INFO - Iter(train) [436000/640000]  base_lr: 4.6087e-05 lr: 4.6087e-06  eta: 3 days, 8:15:02  time: 1.4196  data_time: 0.0269  memory: 25554  grad_norm: 3.3798  loss: 1.1268  caption_loss_cls: 2.0028  detection_loss_cls: 0.0258  detection_loss_reg: 0.3147  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1932  instance_segmentation_loss_cls: 0.0265  instance_segmentation_loss_reg: 0.3239  instance_segmentation_loss_poly: 0.8581
2024/01/10 01:22:32 - mmengine - INFO - Saving checkpoint at 436000 iterations
2024/01/10 01:34:24 - mmengine - INFO - Iter(train) [436500/640000]  base_lr: 4.5880e-05 lr: 4.5880e-06  eta: 3 days, 8:03:29  time: 1.4196  data_time: 0.0271  memory: 25554  grad_norm: 3.4230  loss: 1.1403  caption_loss_cls: 2.0019  detection_loss_cls: 0.0258  detection_loss_reg: 0.3132  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1913  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3228  instance_segmentation_loss_poly: 0.8553
2024/01/10 01:46:10 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/10 01:46:10 - mmengine - INFO - Iter(train) [437000/640000]  base_lr: 4.5674e-05 lr: 4.5674e-06  eta: 3 days, 7:51:31  time: 1.4162  data_time: 0.0271  memory: 25554  grad_norm: 3.4005  loss: 1.1210  caption_loss_cls: 2.0008  detection_loss_cls: 0.0257  detection_loss_reg: 0.3112  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1907  instance_segmentation_loss_cls: 0.0263  instance_segmentation_loss_reg: 0.3223  instance_segmentation_loss_poly: 0.8542
2024/01/10 01:57:48 - mmengine - INFO - Iter(train) [437500/640000]  base_lr: 4.5468e-05 lr: 4.5468e-06  eta: 3 days, 7:39:06  time: 1.4158  data_time: 0.0271  memory: 25554  grad_norm: 3.3921  loss: 1.1252  caption_loss_cls: 1.9990  detection_loss_cls: 0.0255  detection_loss_reg: 0.3106  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1869  instance_segmentation_loss_cls: 0.0265  instance_segmentation_loss_reg: 0.3238  instance_segmentation_loss_poly: 0.8594
2024/01/10 02:09:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240109_023115
2024/01/10 02:09:29 - mmengine - INFO - Iter(train) [438000/640000]  base_lr: 4.5262e-05 lr: 4.5262e-06  eta: 3 days, 7:26:50  time: 1.4141  data_time: 0.0271  memory: 25554  grad_norm: 3.3881  loss: 1.1367  caption_loss_cls: 2.0027  detection_loss_cls: 0.0253  detection_loss_reg: 0.3087  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1840  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3217  instance_segmentation_loss_poly: 0.8555
2024/01/10 02:09:29 - mmengine - INFO - Saving checkpoint at 438000 iterations
2024/01/10 02:21:21 - mmengine - INFO - Iter(train) [438500/640000]  base_lr: 4.5057e-05 lr: 4.5057e-06  eta: 3 days, 7:15:15  time: 1.4060  data_time: 0.0271  memory: 25554  grad_norm: 3.4750  loss: 1.1451  caption_loss_cls: 1.9993  detection_loss_cls: 0.0253  detection_loss_reg: 0.3100  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1758  instance_segmentation_loss_cls: 0.0264  instance_segmentation_loss_reg: 0.3218  instance_segmentation_loss_poly: 0.8572
2024/01/10 02:58:33 - mmengine - INFO - Iter(train) [439000/640000]  base_lr: 4.4852e-05 lr: 4.4852e-06  eta: 3 days, 3:50:41  time: 1.3955  data_time: 0.0195  memory: 25567  grad_norm: 3.3964  loss: 1.1441  caption_loss_cls: 2.0033  detection_loss_cls: 0.0253  detection_loss_reg: 0.3104  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1803  instance_segmentation_loss_cls: 0.0261  instance_segmentation_loss_reg: 0.3197  instance_segmentation_loss_poly: 0.8524
2024/01/10 03:10:08 - mmengine - INFO - Iter(train) [439500/640000]  base_lr: 4.4648e-05 lr: 4.4648e-06  eta: 3 days, 4:14:03  time: 1.3957  data_time: 0.0193  memory: 25567  grad_norm: 3.3690  loss: 1.1381  caption_loss_cls: 2.0044  detection_loss_cls: 0.0254  detection_loss_reg: 0.3111  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1791  instance_segmentation_loss_cls: 0.0260  instance_segmentation_loss_reg: 0.3198  instance_segmentation_loss_poly: 0.8524
2024/01/10 03:22:01 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 03:22:01 - mmengine - INFO - Iter(train) [440000/640000]  base_lr: 4.4443e-05 lr: 4.4443e-06  eta: 3 days, 4:48:35  time: 1.3951  data_time: 0.0190  memory: 25567  grad_norm: 3.3758  loss: 1.1316  caption_loss_cls: 1.9987  detection_loss_cls: 0.0254  detection_loss_reg: 0.3103  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1732  instance_segmentation_loss_cls: 0.0258  instance_segmentation_loss_reg: 0.3172  instance_segmentation_loss_poly: 0.8471
2024/01/10 03:22:01 - mmengine - INFO - Saving checkpoint at 440000 iterations
2024/01/10 03:33:33 - mmengine - INFO - Evaluating bbox...
2024/01/10 03:34:30 - mmengine - INFO - bbox_mAP_copypaste: 0.515 0.697 0.562 0.356 0.564 0.670
2024/01/10 03:34:30 - mmengine - INFO - Evaluating segm...
2024/01/10 03:35:46 - mmengine - INFO - segm_mAP_copypaste: 0.346 0.614 0.342 0.198 0.395 0.534
2024/01/10 03:37:55 - mmengine - INFO - Evaluating bbox...
2024/01/10 03:38:53 - mmengine - INFO - bbox_mAP_copypaste: 0.513 0.696 0.561 0.353 0.562 0.668
2024/01/10 03:45:23 - mmengine - INFO - per class results:
2024/01/10 03:45:23 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.18 | 89.61 |
|       building      | 82.77 | 92.41 |
|         sky         | 93.43 | 98.03 |
|        floor        | 82.22 | 90.31 |
|         tree        | 73.78 | 87.32 |
|       ceiling       | 85.71 | 94.33 |
|         road        | 84.45 | 92.07 |
|         bed         | 90.61 | 95.85 |
|      windowpane     | 63.88 | 79.17 |
|        grass        | 67.79 | 87.24 |
|       cabinet       | 62.45 | 73.83 |
|       sidewalk      | 67.43 | 76.02 |
|        person       | 81.86 |  91.6 |
|        earth        | 36.09 | 44.24 |
|         door        | 55.98 | 72.56 |
|        table        | 63.65 | 79.36 |
|       mountain      | 59.25 | 78.96 |
|        plant        | 50.05 | 59.44 |
|       curtain       | 76.76 | 89.36 |
|        chair        |  63.0 | 78.33 |
|         car         | 84.75 |  92.2 |
|        water        | 62.84 | 77.45 |
|       painting      | 73.76 | 87.86 |
|         sofa        | 71.48 | 83.21 |
|        shelf        | 47.74 |  69.0 |
|        house        | 38.54 | 50.37 |
|         sea         | 65.62 | 80.46 |
|        mirror       | 68.93 |  80.0 |
|         rug         | 65.93 | 77.27 |
|        field        | 35.92 | 53.59 |
|       armchair      | 52.44 | 68.26 |
|         seat        | 67.23 | 81.32 |
|        fence        | 46.92 | 62.63 |
|         desk        | 52.06 | 66.56 |
|         rock        | 40.02 | 54.38 |
|       wardrobe      | 44.17 | 65.28 |
|         lamp        | 65.69 | 79.15 |
|       bathtub       | 78.39 | 87.63 |
|       railing       | 41.68 | 58.63 |
|       cushion       | 64.43 | 78.23 |
|         base        |  16.9 | 24.89 |
|         box         | 29.44 | 37.83 |
|        column       | 57.13 | 69.14 |
|      signboard      |  38.8 |  50.6 |
|   chest of drawers  |  34.8 | 54.77 |
|       counter       | 27.57 | 37.67 |
|         sand        | 49.85 | 67.25 |
|         sink        | 76.01 | 85.98 |
|      skyscraper     | 46.65 | 56.78 |
|      fireplace      | 75.34 | 87.34 |
|     refrigerator    | 77.58 | 84.67 |
|      grandstand     | 46.69 |  80.9 |
|         path        | 18.05 | 27.23 |
|        stairs       | 31.67 | 37.18 |
|        runway       |  73.9 | 94.03 |
|         case        | 46.31 | 61.86 |
|      pool table     | 91.82 | 95.33 |
|        pillow       | 62.23 | 74.25 |
|     screen door     | 70.76 | 74.14 |
|       stairway      | 31.91 |  46.8 |
|        river        | 10.98 | 19.79 |
|        bridge       |  66.1 | 77.65 |
|       bookcase      | 39.27 | 56.01 |
|        blind        | 38.62 | 43.53 |
|     coffee table    | 63.66 | 79.72 |
|        toilet       | 88.49 | 92.72 |
|        flower       | 41.49 | 56.86 |
|         book        | 50.04 | 69.31 |
|         hill        | 17.16 | 25.43 |
|        bench        | 62.45 | 73.41 |
|      countertop     | 63.37 | 76.51 |
|        stove        | 81.29 | 85.06 |
|         palm        | 48.86 | 72.05 |
|    kitchen island   | 45.64 | 63.35 |
|       computer      | 77.77 |  88.7 |
|     swivel chair    | 44.42 | 56.31 |
|         boat        | 66.54 | 88.51 |
|         bar         | 29.35 | 35.77 |
|    arcade machine   |  72.8 |  75.9 |
|        hovel        | 13.48 | 15.66 |
|         bus         | 87.27 | 95.38 |
|        towel        |  66.9 | 79.62 |
|        light        | 51.82 | 61.52 |
|        truck        | 46.92 | 62.83 |
|        tower        | 35.26 | 59.87 |
|      chandelier     | 65.47 | 81.17 |
|        awning       | 31.45 | 40.37 |
|     streetlight     | 35.01 | 50.27 |
|        booth        | 44.62 | 62.74 |
| television receiver | 70.86 | 86.13 |
|       airplane      | 64.73 |  71.6 |
|      dirt track     |  4.82 | 12.64 |
|       apparel       | 31.58 | 52.65 |
|         pole        | 27.13 | 38.99 |
|         land        |  1.86 |  2.61 |
|      bannister      | 15.78 | 20.43 |
|      escalator      | 29.42 |  33.5 |
|       ottoman       | 55.77 | 71.55 |
|        bottle       | 26.25 | 36.28 |
|        buffet       | 54.73 | 62.15 |
|        poster       | 36.08 |  50.1 |
|        stage        |  11.2 | 18.75 |
|         van         | 42.63 | 55.28 |
|         ship        |  8.39 |  8.76 |
|       fountain      |  24.9 | 25.31 |
|    conveyer belt    |  75.5 | 91.19 |
|        canopy       | 32.06 | 45.63 |
|        washer       | 69.08 | 72.01 |
|      plaything      | 34.78 | 45.53 |
|    swimming pool    |  64.5 | 73.22 |
|        stool        | 46.32 | 65.94 |
|        barrel       | 22.83 | 71.16 |
|        basket       | 33.68 | 43.79 |
|      waterfall      | 68.26 | 89.64 |
|         tent        | 81.22 | 97.02 |
|         bag         | 24.46 | 35.64 |
|       minibike      | 73.87 | 84.62 |
|        cradle       | 82.46 | 97.32 |
|         oven        | 53.32 | 69.35 |
|         ball        | 50.69 | 62.83 |
|         food        | 50.48 | 53.78 |
|         step        |  8.24 | 10.07 |
|         tank        | 52.84 | 57.07 |
|      trade name     | 27.97 | 32.68 |
|      microwave      | 86.94 | 93.42 |
|         pot         | 48.96 | 55.65 |
|        animal       | 59.32 | 62.17 |
|       bicycle       | 58.94 | 73.33 |
|         lake        | 54.87 | 69.19 |
|      dishwasher     | 75.85 | 86.14 |
|        screen       | 68.32 | 89.45 |
|       blanket       | 28.59 | 34.47 |
|      sculpture      | 66.94 | 79.67 |
|         hood        | 60.92 | 73.24 |
|        sconce       | 47.06 | 61.68 |
|         vase        | 41.72 | 65.27 |
|    traffic light    | 40.99 | 64.48 |
|         tray        | 18.89 | 30.22 |
|        ashcan       | 42.35 | 53.06 |
|         fan         | 61.01 | 69.59 |
|         pier        | 41.97 | 46.27 |
|      crt screen     |  5.57 | 15.61 |
|        plate        | 57.32 | 76.71 |
|       monitor       |  9.31 | 10.35 |
|    bulletin board   | 56.32 | 65.35 |
|        shower       |  6.1  | 11.89 |
|       radiator      | 61.39 | 69.78 |
|        glass        | 17.95 | 19.83 |
|        clock        | 38.46 | 45.74 |
|         flag        | 44.72 |  53.6 |
+---------------------+-------+-------+
2024/01/10 03:45:36 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5130  coco/bbox_mAP_50: 0.6960  coco/bbox_mAP_75: 0.5610  coco/bbox_mAP_s: 0.3530  coco/bbox_mAP_m: 0.5620  coco/bbox_mAP_l: 0.6680  coco/segm_mAP: 0.3460  coco/segm_mAP_50: 0.6140  coco/segm_mAP_75: 0.3420  coco/segm_mAP_s: 0.1980  coco/segm_mAP_m: 0.3950  coco/segm_mAP_l: 0.5340  Bleu_1: 0.7617  Bleu_2: 0.5988  Bleu_3: 0.4567  Bleu_4: 0.3444  METEOR: 0.2763  ROUGE_L: 0.5619  CIDEr: 1.1222  SPICE: 0.2045  aAcc: 84.0900  mIoU: 51.5900  mAcc: 63.4600  visual-grounding/miou: 0.8281  visual-grounding/acc: 0.8876  data_time: 0.0279  time: 1.9153
2024/01/10 03:56:54 - mmengine - INFO - Iter(train) [440500/640000]  base_lr: 4.4239e-05 lr: 4.4239e-06  eta: 3 days, 4:21:45  time: 1.3870  data_time: 0.0120  memory: 34661  grad_norm: 3.4088  loss: 1.1191  caption_loss_cls: 2.0001  detection_loss_cls: 0.0253  detection_loss_reg: 0.3098  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1674  instance_segmentation_loss_cls: 0.0257  instance_segmentation_loss_reg: 0.3159  instance_segmentation_loss_poly: 0.8430
2024/01/10 04:08:28 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 04:08:28 - mmengine - INFO - Iter(train) [441000/640000]  base_lr: 4.4036e-05 lr: 4.4036e-06  eta: 3 days, 4:14:36  time: 1.3839  data_time: 0.0120  memory: 25566  grad_norm: 3.4321  loss: 1.1253  caption_loss_cls: 1.9980  detection_loss_cls: 0.0253  detection_loss_reg: 0.3105  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1664  instance_segmentation_loss_cls: 0.0257  instance_segmentation_loss_reg: 0.3156  instance_segmentation_loss_poly: 0.8420
2024/01/10 04:19:55 - mmengine - INFO - Iter(train) [441500/640000]  base_lr: 4.3833e-05 lr: 4.3833e-06  eta: 3 days, 4:00:11  time: 1.3811  data_time: 0.0119  memory: 25566  grad_norm: 3.4420  loss: 1.1205  caption_loss_cls: 1.9945  detection_loss_cls: 0.0252  detection_loss_reg: 0.3091  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1649  instance_segmentation_loss_cls: 0.0257  instance_segmentation_loss_reg: 0.3157  instance_segmentation_loss_poly: 0.8426
2024/01/10 04:31:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 04:31:39 - mmengine - INFO - Iter(train) [442000/640000]  base_lr: 4.3630e-05 lr: 4.3630e-06  eta: 3 days, 4:01:12  time: 1.3822  data_time: 0.0119  memory: 25566  grad_norm: 3.3929  loss: 1.1061  caption_loss_cls: 1.9967  detection_loss_cls: 0.0251  detection_loss_reg: 0.3088  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1629  instance_segmentation_loss_cls: 0.0257  instance_segmentation_loss_reg: 0.3160  instance_segmentation_loss_poly: 0.8425
2024/01/10 04:31:39 - mmengine - INFO - Saving checkpoint at 442000 iterations
2024/01/10 04:43:19 - mmengine - INFO - Iter(train) [442500/640000]  base_lr: 4.3427e-05 lr: 4.3427e-06  eta: 3 days, 3:55:28  time: 1.3846  data_time: 0.0194  memory: 25566  grad_norm: 3.5108  loss: 1.1024  caption_loss_cls: 1.9960  detection_loss_cls: 0.0249  detection_loss_reg: 0.3082  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1593  instance_segmentation_loss_cls: 0.0256  instance_segmentation_loss_reg: 0.3157  instance_segmentation_loss_poly: 0.8404
2024/01/10 04:55:05 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 04:55:05 - mmengine - INFO - Iter(train) [443000/640000]  base_lr: 4.3225e-05 lr: 4.3225e-06  eta: 3 days, 3:52:46  time: 1.3937  data_time: 0.0196  memory: 25566  grad_norm: 3.4627  loss: 1.0928  caption_loss_cls: 1.9963  detection_loss_cls: 0.0249  detection_loss_reg: 0.3094  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1585  instance_segmentation_loss_cls: 0.0254  instance_segmentation_loss_reg: 0.3142  instance_segmentation_loss_poly: 0.8371
2024/01/10 05:07:29 - mmengine - INFO - Iter(train) [443500/640000]  base_lr: 4.3023e-05 lr: 4.3023e-06  eta: 3 days, 4:11:38  time: 1.4061  data_time: 0.0201  memory: 25566  grad_norm: 3.4545  loss: 1.0969  caption_loss_cls: 1.9971  detection_loss_cls: 0.0249  detection_loss_reg: 0.3088  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1573  instance_segmentation_loss_cls: 0.0255  instance_segmentation_loss_reg: 0.3157  instance_segmentation_loss_poly: 0.8380
2024/01/10 05:18:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 05:18:44 - mmengine - INFO - Iter(train) [444000/640000]  base_lr: 4.2822e-05 lr: 4.2822e-06  eta: 3 days, 3:47:20  time: 1.3968  data_time: 0.0202  memory: 25566  grad_norm: 3.4344  loss: 1.0995  caption_loss_cls: 1.9946  detection_loss_cls: 0.0248  detection_loss_reg: 0.3078  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1559  instance_segmentation_loss_cls: 0.0255  instance_segmentation_loss_reg: 0.3155  instance_segmentation_loss_poly: 0.8387
2024/01/10 05:18:44 - mmengine - INFO - Saving checkpoint at 444000 iterations
2024/01/10 05:30:34 - mmengine - INFO - Iter(train) [444500/640000]  base_lr: 4.2620e-05 lr: 4.2620e-06  eta: 3 days, 3:42:22  time: 1.4041  data_time: 0.0262  memory: 25566  grad_norm: 3.3982  loss: 1.0992  caption_loss_cls: 1.9889  detection_loss_cls: 0.0248  detection_loss_reg: 0.3080  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1548  instance_segmentation_loss_cls: 0.0255  instance_segmentation_loss_reg: 0.3158  instance_segmentation_loss_poly: 0.8394
2024/01/10 05:42:17 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 05:42:17 - mmengine - INFO - Iter(train) [445000/640000]  base_lr: 4.2420e-05 lr: 4.2420e-06  eta: 3 days, 3:33:15  time: 1.4065  data_time: 0.0261  memory: 25566  grad_norm: 3.4257  loss: 1.1000  caption_loss_cls: 1.9770  detection_loss_cls: 0.0249  detection_loss_reg: 0.3095  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1585  instance_segmentation_loss_cls: 0.0254  instance_segmentation_loss_reg: 0.3159  instance_segmentation_loss_poly: 0.8384
2024/01/10 05:53:28 - mmengine - INFO - Iter(train) [445500/640000]  base_lr: 4.2219e-05 lr: 4.2219e-06  eta: 3 days, 3:10:07  time: 1.4026  data_time: 0.0260  memory: 25566  grad_norm: 3.4585  loss: 1.1109  caption_loss_cls: 1.9770  detection_loss_cls: 0.0248  detection_loss_reg: 0.3097  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1586  instance_segmentation_loss_cls: 0.0254  instance_segmentation_loss_reg: 0.3152  instance_segmentation_loss_poly: 0.8363
2024/01/10 06:05:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 06:05:12 - mmengine - INFO - Iter(train) [446000/640000]  base_lr: 4.2019e-05 lr: 4.2019e-06  eta: 3 days, 3:01:38  time: 1.4023  data_time: 0.0259  memory: 25566  grad_norm: 3.5017  loss: 1.1067  caption_loss_cls: 1.9741  detection_loss_cls: 0.0247  detection_loss_reg: 0.3085  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1541  instance_segmentation_loss_cls: 0.0253  instance_segmentation_loss_reg: 0.3145  instance_segmentation_loss_poly: 0.8346
2024/01/10 06:05:12 - mmengine - INFO - Saving checkpoint at 446000 iterations
2024/01/10 06:17:04 - mmengine - INFO - Iter(train) [446500/640000]  base_lr: 4.1819e-05 lr: 4.1819e-06  eta: 3 days, 2:55:56  time: 1.4055  data_time: 0.0248  memory: 25566  grad_norm: 3.4831  loss: 1.1198  caption_loss_cls: 1.9709  detection_loss_cls: 0.0247  detection_loss_reg: 0.3075  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1458  instance_segmentation_loss_cls: 0.0255  instance_segmentation_loss_reg: 0.3151  instance_segmentation_loss_poly: 0.8368
2024/01/10 06:28:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 06:28:31 - mmengine - INFO - Iter(train) [447000/640000]  base_lr: 4.1620e-05 lr: 4.1620e-06  eta: 3 days, 2:40:36  time: 1.4008  data_time: 0.0247  memory: 25566  grad_norm: 3.4921  loss: 1.1274  caption_loss_cls: 1.9701  detection_loss_cls: 0.0247  detection_loss_reg: 0.3088  semantic_segmentation_loss_cls: 0.0067  grounding_loss_reg: 2.1431  instance_segmentation_loss_cls: 0.0254  instance_segmentation_loss_reg: 0.3134  instance_segmentation_loss_poly: 0.8332
2024/01/10 06:40:10 - mmengine - INFO - Iter(train) [447500/640000]  base_lr: 4.1421e-05 lr: 4.1421e-06  eta: 3 days, 2:29:39  time: 1.3893  data_time: 0.0243  memory: 25566  grad_norm: 3.5048  loss: 1.1125  caption_loss_cls: 1.9694  detection_loss_cls: 0.0247  detection_loss_reg: 0.3092  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1372  instance_segmentation_loss_cls: 0.0253  instance_segmentation_loss_reg: 0.3119  instance_segmentation_loss_poly: 0.8308
2024/01/10 06:51:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 06:51:50 - mmengine - INFO - Iter(train) [448000/640000]  base_lr: 4.1222e-05 lr: 4.1222e-06  eta: 3 days, 2:19:15  time: 1.3957  data_time: 0.0243  memory: 25566  grad_norm: 3.5059  loss: 1.1127  caption_loss_cls: 1.9730  detection_loss_cls: 0.0247  detection_loss_reg: 0.3085  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1340  instance_segmentation_loss_cls: 0.0250  instance_segmentation_loss_reg: 0.3099  instance_segmentation_loss_poly: 0.8259
2024/01/10 06:51:50 - mmengine - INFO - Saving checkpoint at 448000 iterations
2024/01/10 07:03:57 - mmengine - INFO - Iter(train) [448500/640000]  base_lr: 4.1023e-05 lr: 4.1023e-06  eta: 3 days, 2:16:28  time: 1.3999  data_time: 0.0239  memory: 25566  grad_norm: 3.4549  loss: 1.1015  caption_loss_cls: 1.9671  detection_loss_cls: 0.0247  detection_loss_reg: 0.3087  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1348  instance_segmentation_loss_cls: 0.0250  instance_segmentation_loss_reg: 0.3098  instance_segmentation_loss_poly: 0.8255
2024/01/10 07:15:26 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 07:15:26 - mmengine - INFO - Iter(train) [449000/640000]  base_lr: 4.0825e-05 lr: 4.0825e-06  eta: 3 days, 2:02:11  time: 1.3965  data_time: 0.0239  memory: 25566  grad_norm: 3.4405  loss: 1.1022  caption_loss_cls: 1.9676  detection_loss_cls: 0.0248  detection_loss_reg: 0.3102  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1311  instance_segmentation_loss_cls: 0.0251  instance_segmentation_loss_reg: 0.3105  instance_segmentation_loss_poly: 0.8260
2024/01/10 07:26:38 - mmengine - INFO - Iter(train) [449500/640000]  base_lr: 4.0628e-05 lr: 4.0628e-06  eta: 3 days, 1:43:27  time: 1.3968  data_time: 0.0238  memory: 25566  grad_norm: 3.4313  loss: 1.1050  caption_loss_cls: 1.9726  detection_loss_cls: 0.0250  detection_loss_reg: 0.3118  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1277  instance_segmentation_loss_cls: 0.0251  instance_segmentation_loss_reg: 0.3101  instance_segmentation_loss_poly: 0.8256
2024/01/10 07:38:26 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 07:38:26 - mmengine - INFO - Iter(train) [450000/640000]  base_lr: 4.0430e-05 lr: 4.0430e-06  eta: 3 days, 1:34:44  time: 1.3979  data_time: 0.0239  memory: 25566  grad_norm: 3.3935  loss: 1.1251  caption_loss_cls: 1.9719  detection_loss_cls: 0.0251  detection_loss_reg: 0.3137  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1296  instance_segmentation_loss_cls: 0.0252  instance_segmentation_loss_reg: 0.3115  instance_segmentation_loss_poly: 0.8283
2024/01/10 07:38:26 - mmengine - INFO - Saving checkpoint at 450000 iterations
2024/01/10 07:49:55 - mmengine - INFO - Iter(train) [450500/640000]  base_lr: 4.0234e-05 lr: 4.0234e-06  eta: 3 days, 1:20:54  time: 1.3920  data_time: 0.0236  memory: 25566  grad_norm: 3.3490  loss: 1.1195  caption_loss_cls: 1.9723  detection_loss_cls: 0.0251  detection_loss_reg: 0.3138  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1274  instance_segmentation_loss_cls: 0.0250  instance_segmentation_loss_reg: 0.3107  instance_segmentation_loss_poly: 0.8247
2024/01/10 08:01:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 08:01:45 - mmengine - INFO - Iter(train) [451000/640000]  base_lr: 4.0037e-05 lr: 4.0037e-06  eta: 3 days, 1:12:25  time: 1.3978  data_time: 0.0235  memory: 25566  grad_norm: 3.3238  loss: 1.1142  caption_loss_cls: 1.9726  detection_loss_cls: 0.0250  detection_loss_reg: 0.3140  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1299  instance_segmentation_loss_cls: 0.0248  instance_segmentation_loss_reg: 0.3098  instance_segmentation_loss_poly: 0.8231
2024/01/10 08:13:10 - mmengine - INFO - Iter(train) [451500/640000]  base_lr: 3.9841e-05 lr: 3.9841e-06  eta: 3 days, 0:57:55  time: 1.3944  data_time: 0.0235  memory: 25566  grad_norm: 3.3035  loss: 1.1255  caption_loss_cls: 1.9754  detection_loss_cls: 0.0251  detection_loss_reg: 0.3154  semantic_segmentation_loss_cls: 0.0069  grounding_loss_reg: 2.1317  instance_segmentation_loss_cls: 0.0248  instance_segmentation_loss_reg: 0.3083  instance_segmentation_loss_poly: 0.8193
2024/01/10 08:24:33 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 08:24:33 - mmengine - INFO - Iter(train) [452000/640000]  base_lr: 3.9645e-05 lr: 3.9645e-06  eta: 3 days, 0:43:05  time: 1.3899  data_time: 0.0236  memory: 25566  grad_norm: 3.2972  loss: 1.1368  caption_loss_cls: 1.9722  detection_loss_cls: 0.0250  detection_loss_reg: 0.3152  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1305  instance_segmentation_loss_cls: 0.0249  instance_segmentation_loss_reg: 0.3094  instance_segmentation_loss_poly: 0.8219
2024/01/10 08:24:33 - mmengine - INFO - Saving checkpoint at 452000 iterations
2024/01/10 08:36:40 - mmengine - INFO - Iter(train) [452500/640000]  base_lr: 3.9449e-05 lr: 3.9449e-06  eta: 3 days, 0:37:58  time: 1.3900  data_time: 0.0236  memory: 25566  grad_norm: 3.3238  loss: 1.1456  caption_loss_cls: 1.9705  detection_loss_cls: 0.0250  detection_loss_reg: 0.3154  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1325  instance_segmentation_loss_cls: 0.0247  instance_segmentation_loss_reg: 0.3085  instance_segmentation_loss_poly: 0.8205
2024/01/10 08:48:30 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 08:48:30 - mmengine - INFO - Iter(train) [453000/640000]  base_lr: 3.9254e-05 lr: 3.9254e-06  eta: 3 days, 0:28:52  time: 1.3951  data_time: 0.0236  memory: 25566  grad_norm: 3.3415  loss: 1.1499  caption_loss_cls: 1.9630  detection_loss_cls: 0.0250  detection_loss_reg: 0.3149  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1304  instance_segmentation_loss_cls: 0.0246  instance_segmentation_loss_reg: 0.3082  instance_segmentation_loss_poly: 0.8206
2024/01/10 08:59:52 - mmengine - INFO - Iter(train) [453500/640000]  base_lr: 3.9059e-05 lr: 3.9059e-06  eta: 3 days, 0:14:07  time: 1.3977  data_time: 0.0236  memory: 25566  grad_norm: 3.3049  loss: 1.1384  caption_loss_cls: 1.9636  detection_loss_cls: 0.0248  detection_loss_reg: 0.3139  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1293  instance_segmentation_loss_cls: 0.0247  instance_segmentation_loss_reg: 0.3079  instance_segmentation_loss_poly: 0.8190
2024/01/10 09:11:42 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 09:11:42 - mmengine - INFO - Iter(train) [454000/640000]  base_lr: 3.8865e-05 lr: 3.8865e-06  eta: 3 days, 0:04:56  time: 1.3982  data_time: 0.0235  memory: 25566  grad_norm: 3.2850  loss: 1.1152  caption_loss_cls: 1.9635  detection_loss_cls: 0.0246  detection_loss_reg: 0.3122  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1290  instance_segmentation_loss_cls: 0.0247  instance_segmentation_loss_reg: 0.3068  instance_segmentation_loss_poly: 0.8165
2024/01/10 09:11:42 - mmengine - INFO - Saving checkpoint at 454000 iterations
2024/01/10 09:23:51 - mmengine - INFO - Iter(train) [454500/640000]  base_lr: 3.8671e-05 lr: 3.8671e-06  eta: 2 days, 23:59:06  time: 1.4082  data_time: 0.0237  memory: 25566  grad_norm: 3.2668  loss: 1.1062  caption_loss_cls: 1.9634  detection_loss_cls: 0.0246  detection_loss_reg: 0.3118  semantic_segmentation_loss_cls: 0.0068  grounding_loss_reg: 2.1206  instance_segmentation_loss_cls: 0.0247  instance_segmentation_loss_reg: 0.3064  instance_segmentation_loss_poly: 0.8149
2024/01/10 09:35:14 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 09:35:14 - mmengine - INFO - Iter(train) [455000/640000]  base_lr: 3.8477e-05 lr: 3.8477e-06  eta: 2 days, 23:44:28  time: 1.4013  data_time: 0.0237  memory: 25566  grad_norm: 3.2834  loss: 1.1069  caption_loss_cls: 1.9628  detection_loss_cls: 0.0247  detection_loss_reg: 0.3131  semantic_segmentation_loss_cls: 0.0067  grounding_loss_reg: 2.1212  instance_segmentation_loss_cls: 0.0249  instance_segmentation_loss_reg: 0.3079  instance_segmentation_loss_poly: 0.8191
2024/01/10 09:46:37 - mmengine - INFO - Iter(train) [455500/640000]  base_lr: 3.8284e-05 lr: 3.8284e-06  eta: 2 days, 23:30:14  time: 1.4009  data_time: 0.0237  memory: 25566  grad_norm: 3.3083  loss: 1.1140  caption_loss_cls: 1.9611  detection_loss_cls: 0.0247  detection_loss_reg: 0.3124  semantic_segmentation_loss_cls: 0.0067  grounding_loss_reg: 2.1216  instance_segmentation_loss_cls: 0.0249  instance_segmentation_loss_reg: 0.3079  instance_segmentation_loss_poly: 0.8200
2024/01/10 09:58:13 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 09:58:13 - mmengine - INFO - Iter(train) [456000/640000]  base_lr: 3.8091e-05 lr: 3.8091e-06  eta: 2 days, 23:18:17  time: 1.4043  data_time: 0.0236  memory: 25566  grad_norm: 3.2743  loss: 1.0922  caption_loss_cls: 1.9572  detection_loss_cls: 0.0248  detection_loss_reg: 0.3133  semantic_segmentation_loss_cls: 0.0067  grounding_loss_reg: 2.1178  instance_segmentation_loss_cls: 0.0247  instance_segmentation_loss_reg: 0.3074  instance_segmentation_loss_poly: 0.8178
2024/01/10 09:58:13 - mmengine - INFO - Saving checkpoint at 456000 iterations
2024/01/10 10:10:16 - mmengine - INFO - Iter(train) [456500/640000]  base_lr: 3.7898e-05 lr: 3.7898e-06  eta: 2 days, 23:10:48  time: 1.4033  data_time: 0.0236  memory: 25566  grad_norm: 3.2882  loss: 1.0957  caption_loss_cls: 1.9619  detection_loss_cls: 0.0248  detection_loss_reg: 0.3138  semantic_segmentation_loss_cls: 0.0067  grounding_loss_reg: 2.1170  instance_segmentation_loss_cls: 0.0246  instance_segmentation_loss_reg: 0.3061  instance_segmentation_loss_poly: 0.8149
2024/01/10 10:21:30 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 10:21:30 - mmengine - INFO - Iter(train) [457000/640000]  base_lr: 3.7706e-05 lr: 3.7706e-06  eta: 2 days, 22:55:14  time: 1.3944  data_time: 0.0234  memory: 25566  grad_norm: 3.3252  loss: 1.0905  caption_loss_cls: 1.9554  detection_loss_cls: 0.0249  detection_loss_reg: 0.3161  semantic_segmentation_loss_cls: 0.0067  grounding_loss_reg: 2.1146  instance_segmentation_loss_cls: 0.0245  instance_segmentation_loss_reg: 0.3045  instance_segmentation_loss_poly: 0.8114
2024/01/10 10:33:34 - mmengine - INFO - Iter(train) [457500/640000]  base_lr: 3.7514e-05 lr: 3.7514e-06  eta: 2 days, 22:47:35  time: 1.4046  data_time: 0.0236  memory: 25566  grad_norm: 3.3420  loss: 1.0832  caption_loss_cls: 1.9478  detection_loss_cls: 0.0250  detection_loss_reg: 0.3166  semantic_segmentation_loss_cls: 0.0067  grounding_loss_reg: 2.1109  instance_segmentation_loss_cls: 0.0246  instance_segmentation_loss_reg: 0.3052  instance_segmentation_loss_poly: 0.8125
2024/01/10 10:44:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 10:44:56 - mmengine - INFO - Iter(train) [458000/640000]  base_lr: 3.7323e-05 lr: 3.7323e-06  eta: 2 days, 22:33:25  time: 1.3976  data_time: 0.0236  memory: 25566  grad_norm: 3.4250  loss: 1.1031  caption_loss_cls: 1.9441  detection_loss_cls: 0.0251  detection_loss_reg: 0.3177  semantic_segmentation_loss_cls: 0.0067  grounding_loss_reg: 2.1110  instance_segmentation_loss_cls: 0.0247  instance_segmentation_loss_reg: 0.3061  instance_segmentation_loss_poly: 0.8121
2024/01/10 10:44:56 - mmengine - INFO - Saving checkpoint at 458000 iterations
2024/01/10 10:57:02 - mmengine - INFO - Iter(train) [458500/640000]  base_lr: 3.7132e-05 lr: 3.7132e-06  eta: 2 days, 22:25:58  time: 1.3970  data_time: 0.0236  memory: 25566  grad_norm: 3.4231  loss: 1.1052  caption_loss_cls: 1.9369  detection_loss_cls: 0.0250  detection_loss_reg: 0.3165  semantic_segmentation_loss_cls: 0.0067  grounding_loss_reg: 2.1058  instance_segmentation_loss_cls: 0.0246  instance_segmentation_loss_reg: 0.3068  instance_segmentation_loss_poly: 0.8138
2024/01/10 11:08:17 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 11:08:17 - mmengine - INFO - Iter(train) [459000/640000]  base_lr: 3.6941e-05 lr: 3.6941e-06  eta: 2 days, 22:10:46  time: 1.3950  data_time: 0.0235  memory: 25566  grad_norm: 3.4469  loss: 1.1087  caption_loss_cls: 1.9408  detection_loss_cls: 0.0249  detection_loss_reg: 0.3152  semantic_segmentation_loss_cls: 0.0067  grounding_loss_reg: 2.1059  instance_segmentation_loss_cls: 0.0245  instance_segmentation_loss_reg: 0.3071  instance_segmentation_loss_poly: 0.8140
2024/01/10 11:20:00 - mmengine - INFO - Iter(train) [459500/640000]  base_lr: 3.6751e-05 lr: 3.6751e-06  eta: 2 days, 21:59:48  time: 1.3998  data_time: 0.0236  memory: 25566  grad_norm: 3.4267  loss: 1.1030  caption_loss_cls: 1.9447  detection_loss_cls: 0.0248  detection_loss_reg: 0.3140  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.1081  instance_segmentation_loss_cls: 0.0246  instance_segmentation_loss_reg: 0.3085  instance_segmentation_loss_poly: 0.8179
2024/01/10 11:31:54 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 11:31:54 - mmengine - INFO - Iter(train) [460000/640000]  base_lr: 3.6561e-05 lr: 3.6561e-06  eta: 2 days, 21:50:24  time: 1.4045  data_time: 0.0237  memory: 25566  grad_norm: 3.4150  loss: 1.1046  caption_loss_cls: 1.9383  detection_loss_cls: 0.0250  detection_loss_reg: 0.3164  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.1071  instance_segmentation_loss_cls: 0.0246  instance_segmentation_loss_reg: 0.3092  instance_segmentation_loss_poly: 0.8196
2024/01/10 11:31:54 - mmengine - INFO - Saving checkpoint at 460000 iterations
2024/01/10 11:43:36 - mmengine - INFO - Evaluating bbox...
2024/01/10 11:44:32 - mmengine - INFO - bbox_mAP_copypaste: 0.524 0.705 0.575 0.370 0.570 0.681
2024/01/10 11:44:32 - mmengine - INFO - Evaluating segm...
2024/01/10 11:45:45 - mmengine - INFO - segm_mAP_copypaste: 0.355 0.622 0.353 0.207 0.398 0.537
2024/01/10 11:47:53 - mmengine - INFO - Evaluating bbox...
2024/01/10 11:48:51 - mmengine - INFO - bbox_mAP_copypaste: 0.523 0.704 0.573 0.366 0.569 0.680
2024/01/10 11:54:29 - mmengine - INFO - per class results:
2024/01/10 11:54:29 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        |  78.9 | 89.26 |
|       building      | 82.04 | 92.47 |
|         sky         | 93.52 | 97.81 |
|        floor        | 82.66 |  91.3 |
|         tree        | 74.93 | 87.72 |
|       ceiling       | 86.36 | 94.64 |
|         road        | 85.23 |  90.9 |
|         bed         |  90.2 | 95.59 |
|      windowpane     |  63.0 | 81.24 |
|        grass        | 68.75 | 84.88 |
|       cabinet       |  63.1 | 73.63 |
|       sidewalk      | 68.82 | 82.46 |
|        person       | 81.83 | 90.96 |
|        earth        | 39.19 | 49.83 |
|         door        | 55.91 | 72.79 |
|        table        | 65.52 | 78.93 |
|       mountain      | 60.99 |  80.3 |
|        plant        | 53.64 | 62.86 |
|       curtain       | 76.41 | 85.83 |
|        chair        | 62.52 | 75.03 |
|         car         | 85.19 | 92.21 |
|        water        | 57.43 | 68.45 |
|       painting      | 74.55 | 88.48 |
|         sofa        | 72.95 | 85.21 |
|        shelf        |  46.7 | 67.15 |
|        house        | 35.78 | 40.77 |
|         sea         | 60.41 | 77.43 |
|        mirror       | 69.63 | 79.16 |
|         rug         | 64.62 | 73.59 |
|        field        | 38.88 | 60.66 |
|       armchair      | 52.56 | 69.82 |
|         seat        | 68.29 | 81.63 |
|        fence        |  45.4 | 65.41 |
|         desk        | 52.15 | 74.23 |
|         rock        | 47.83 | 64.83 |
|       wardrobe      |  47.4 |  70.0 |
|         lamp        | 66.47 | 78.63 |
|       bathtub       | 79.61 | 90.12 |
|       railing       | 42.05 | 58.57 |
|       cushion       | 63.02 | 75.31 |
|         base        | 20.12 | 28.76 |
|         box         | 29.78 | 38.12 |
|        column       | 56.79 | 64.86 |
|      signboard      | 37.82 | 51.22 |
|   chest of drawers  | 41.01 | 64.15 |
|       counter       | 30.07 | 41.16 |
|         sand        | 46.44 | 67.11 |
|         sink        | 77.26 | 85.66 |
|      skyscraper     | 48.25 | 61.39 |
|      fireplace      | 76.05 | 88.41 |
|     refrigerator    |  81.1 | 86.42 |
|      grandstand     | 44.65 | 84.87 |
|         path        | 18.75 | 25.18 |
|        stairs       | 36.54 | 44.84 |
|        runway       | 74.22 | 95.58 |
|         case        | 46.96 | 59.93 |
|      pool table     | 92.12 | 95.79 |
|        pillow       | 61.44 | 73.42 |
|     screen door     | 74.44 | 77.25 |
|       stairway      | 31.66 | 40.39 |
|        river        | 13.68 | 36.25 |
|        bridge       | 68.92 | 83.34 |
|       bookcase      | 43.38 | 57.37 |
|        blind        | 39.32 |  47.0 |
|     coffee table    |  65.4 | 79.66 |
|        toilet       | 87.19 | 91.87 |
|        flower       | 40.12 | 55.29 |
|         book        | 48.92 | 71.04 |
|         hill        |  16.8 | 22.69 |
|        bench        | 59.82 | 70.76 |
|      countertop     | 63.69 | 78.64 |
|        stove        | 81.78 | 85.67 |
|         palm        | 47.77 | 72.26 |
|    kitchen island   | 52.62 | 78.82 |
|       computer      | 77.19 | 87.61 |
|     swivel chair    | 43.27 | 54.45 |
|         boat        | 64.59 | 85.56 |
|         bar         | 32.33 | 41.84 |
|    arcade machine   | 45.68 | 47.98 |
|        hovel        | 26.66 | 28.68 |
|         bus         | 87.74 | 95.21 |
|        towel        | 65.83 | 80.06 |
|        light        | 51.81 | 61.64 |
|        truck        | 47.39 | 63.95 |
|        tower        |  8.6  | 12.94 |
|      chandelier     | 66.51 | 79.18 |
|        awning       | 31.09 |  40.6 |
|     streetlight     | 34.72 | 46.52 |
|        booth        | 41.94 | 57.45 |
| television receiver | 74.35 | 87.51 |
|       airplane      | 63.45 | 70.84 |
|      dirt track     |  8.88 | 20.21 |
|       apparel       | 33.37 | 53.67 |
|         pole        | 29.76 | 43.24 |
|         land        |  4.24 |  5.61 |
|      bannister      | 15.64 | 20.98 |
|      escalator      | 23.34 | 24.81 |
|       ottoman       | 52.97 | 72.58 |
|        bottle       |  28.0 | 37.63 |
|        buffet       | 54.95 | 62.94 |
|        poster       |  33.5 | 43.67 |
|        stage        |  13.6 | 19.29 |
|         van         | 44.16 | 57.76 |
|         ship        |  8.78 |  9.41 |
|       fountain      | 20.49 | 20.96 |
|    conveyer belt    | 76.23 | 90.64 |
|        canopy       | 39.82 | 46.27 |
|        washer       | 67.09 | 71.62 |
|      plaything      | 28.95 | 35.55 |
|    swimming pool    | 69.01 | 72.02 |
|        stool        | 45.89 |  64.5 |
|        barrel       | 16.95 | 68.75 |
|        basket       |  33.6 | 45.49 |
|      waterfall      | 66.03 | 86.57 |
|         tent        | 73.13 | 97.51 |
|         bag         | 24.33 | 34.87 |
|       minibike      | 74.17 | 85.65 |
|        cradle       | 83.81 | 96.35 |
|         oven        | 54.29 | 68.66 |
|         ball        |  52.2 | 67.58 |
|         food        | 52.87 | 57.65 |
|         step        |  6.51 |  7.68 |
|         tank        | 47.54 | 51.02 |
|      trade name     | 29.68 | 39.36 |
|      microwave      | 86.18 | 93.63 |
|         pot         | 49.46 | 56.34 |
|        animal       | 63.86 | 66.87 |
|       bicycle       | 59.82 | 75.36 |
|         lake        | 56.99 | 62.78 |
|      dishwasher     | 73.38 | 81.35 |
|        screen       | 64.17 | 85.82 |
|       blanket       | 30.98 | 36.87 |
|      sculpture      | 68.81 | 81.61 |
|         hood        | 58.98 | 73.16 |
|        sconce       |  47.0 | 59.37 |
|         vase        | 45.91 | 59.87 |
|    traffic light    | 41.26 | 63.08 |
|         tray        | 14.86 | 16.66 |
|        ashcan       | 41.83 | 53.78 |
|         fan         |  63.1 | 77.46 |
|         pier        | 38.53 | 42.25 |
|      crt screen     |  5.74 | 16.12 |
|        plate        | 58.03 | 77.91 |
|       monitor       |  9.64 | 11.36 |
|    bulletin board   | 59.89 | 69.16 |
|        shower       |  6.28 |  8.01 |
|       radiator      | 61.12 | 73.36 |
|        glass        | 17.45 | 18.99 |
|        clock        | 40.68 | 48.77 |
|         flag        | 45.07 | 53.15 |
+---------------------+-------+-------+
2024/01/10 11:54:41 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5230  coco/bbox_mAP_50: 0.7040  coco/bbox_mAP_75: 0.5730  coco/bbox_mAP_s: 0.3660  coco/bbox_mAP_m: 0.5690  coco/bbox_mAP_l: 0.6800  coco/segm_mAP: 0.3550  coco/segm_mAP_50: 0.6220  coco/segm_mAP_75: 0.3530  coco/segm_mAP_s: 0.2070  coco/segm_mAP_m: 0.3980  coco/segm_mAP_l: 0.5370  Bleu_1: 0.7681  Bleu_2: 0.6060  Bleu_3: 0.4645  Bleu_4: 0.3529  METEOR: 0.2787  ROUGE_L: 0.5671  CIDEr: 1.1493  SPICE: 0.2070  aAcc: 84.2300  mIoU: 51.6400  mAcc: 63.4100  visual-grounding/miou: 0.8250  visual-grounding/acc: 0.8836  data_time: 0.0119  time: 1.9021
2024/01/10 12:06:25 - mmengine - INFO - Iter(train) [460500/640000]  base_lr: 3.6372e-05 lr: 3.6372e-06  eta: 2 days, 21:39:41  time: 1.4002  data_time: 0.0181  memory: 34657  grad_norm: 3.4004  loss: 1.0955  caption_loss_cls: 1.9367  detection_loss_cls: 0.0250  detection_loss_reg: 0.3177  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.1093  instance_segmentation_loss_cls: 0.0247  instance_segmentation_loss_reg: 0.3106  instance_segmentation_loss_poly: 0.8221
2024/01/10 12:17:34 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 12:17:34 - mmengine - INFO - Iter(train) [461000/640000]  base_lr: 3.6182e-05 lr: 3.6182e-06  eta: 2 days, 21:24:11  time: 1.3989  data_time: 0.0181  memory: 25565  grad_norm: 3.4010  loss: 1.0953  caption_loss_cls: 1.9347  detection_loss_cls: 0.0252  detection_loss_reg: 0.3182  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.1080  instance_segmentation_loss_cls: 0.0248  instance_segmentation_loss_reg: 0.3107  instance_segmentation_loss_poly: 0.8244
2024/01/10 12:28:49 - mmengine - INFO - Iter(train) [461500/640000]  base_lr: 3.5994e-05 lr: 3.5994e-06  eta: 2 days, 21:09:42  time: 1.3870  data_time: 0.0180  memory: 25565  grad_norm: 3.6135  loss: 1.1072  caption_loss_cls: 1.9374  detection_loss_cls: 0.0251  detection_loss_reg: 0.3180  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.1081  instance_segmentation_loss_cls: 0.0247  instance_segmentation_loss_reg: 0.3102  instance_segmentation_loss_poly: 0.8229
2024/01/10 12:40:20 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 12:40:20 - mmengine - INFO - Iter(train) [462000/640000]  base_lr: 3.5805e-05 lr: 3.5805e-06  eta: 2 days, 20:57:08  time: 1.3891  data_time: 0.0181  memory: 25565  grad_norm: 3.5771  loss: 1.1047  caption_loss_cls: 1.9394  detection_loss_cls: 0.0250  detection_loss_reg: 0.3163  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.1046  instance_segmentation_loss_cls: 0.0247  instance_segmentation_loss_reg: 0.3093  instance_segmentation_loss_poly: 0.8206
2024/01/10 12:40:20 - mmengine - INFO - Saving checkpoint at 462000 iterations
2024/01/10 12:52:21 - mmengine - INFO - Iter(train) [462500/640000]  base_lr: 3.5617e-05 lr: 3.5617e-06  eta: 2 days, 20:48:25  time: 1.3879  data_time: 0.0179  memory: 25565  grad_norm: 3.5846  loss: 1.0970  caption_loss_cls: 1.9403  detection_loss_cls: 0.0249  detection_loss_reg: 0.3134  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.1051  instance_segmentation_loss_cls: 0.0246  instance_segmentation_loss_reg: 0.3077  instance_segmentation_loss_poly: 0.8173
2024/01/10 13:04:32 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 13:04:32 - mmengine - INFO - Iter(train) [463000/640000]  base_lr: 3.5430e-05 lr: 3.5430e-06  eta: 2 days, 20:40:39  time: 1.4021  data_time: 0.0181  memory: 25565  grad_norm: 3.5309  loss: 1.0841  caption_loss_cls: 1.9413  detection_loss_cls: 0.0249  detection_loss_reg: 0.3122  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.1018  instance_segmentation_loss_cls: 0.0246  instance_segmentation_loss_reg: 0.3083  instance_segmentation_loss_poly: 0.8192
2024/01/10 13:15:44 - mmengine - INFO - Iter(train) [463500/640000]  base_lr: 3.5242e-05 lr: 3.5242e-06  eta: 2 days, 20:25:50  time: 1.3941  data_time: 0.0181  memory: 25565  grad_norm: 3.5835  loss: 1.0861  caption_loss_cls: 1.9355  detection_loss_cls: 0.0248  detection_loss_reg: 0.3114  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.1016  instance_segmentation_loss_cls: 0.0246  instance_segmentation_loss_reg: 0.3078  instance_segmentation_loss_poly: 0.8191
2024/01/10 13:26:37 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 13:26:37 - mmengine - INFO - Iter(train) [464000/640000]  base_lr: 3.5056e-05 lr: 3.5056e-06  eta: 2 days, 20:09:09  time: 1.3788  data_time: 0.0180  memory: 25565  grad_norm: 3.6528  loss: 1.0982  caption_loss_cls: 1.9404  detection_loss_cls: 0.0248  detection_loss_reg: 0.3116  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.1014  instance_segmentation_loss_cls: 0.0246  instance_segmentation_loss_reg: 0.3063  instance_segmentation_loss_poly: 0.8164
2024/01/10 13:26:37 - mmengine - INFO - Saving checkpoint at 464000 iterations
2024/01/10 13:38:20 - mmengine - INFO - Iter(train) [464500/640000]  base_lr: 3.4869e-05 lr: 3.4869e-06  eta: 2 days, 19:58:08  time: 1.3781  data_time: 0.0236  memory: 25565  grad_norm: 3.6467  loss: 1.1018  caption_loss_cls: 1.9448  detection_loss_cls: 0.0247  detection_loss_reg: 0.3108  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.1015  instance_segmentation_loss_cls: 0.0244  instance_segmentation_loss_reg: 0.3048  instance_segmentation_loss_poly: 0.8124
2024/01/10 13:50:05 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 13:50:05 - mmengine - INFO - Iter(train) [465000/640000]  base_lr: 3.4683e-05 lr: 3.4683e-06  eta: 2 days, 19:47:16  time: 1.3869  data_time: 0.0238  memory: 25565  grad_norm: 3.6036  loss: 1.1033  caption_loss_cls: 1.9436  detection_loss_cls: 0.0247  detection_loss_reg: 0.3103  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.0976  instance_segmentation_loss_cls: 0.0244  instance_segmentation_loss_reg: 0.3049  instance_segmentation_loss_poly: 0.8110
2024/01/10 14:01:15 - mmengine - INFO - Iter(train) [465500/640000]  base_lr: 3.4497e-05 lr: 3.4497e-06  eta: 2 days, 19:32:48  time: 1.3856  data_time: 0.0239  memory: 25565  grad_norm: 3.4238  loss: 1.1096  caption_loss_cls: 1.9458  detection_loss_cls: 0.0247  detection_loss_reg: 0.3101  semantic_segmentation_loss_cls: 0.0066  grounding_loss_reg: 2.0941  instance_segmentation_loss_cls: 0.0245  instance_segmentation_loss_reg: 0.3059  instance_segmentation_loss_poly: 0.8136
2024/01/10 14:13:04 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 14:13:04 - mmengine - INFO - Iter(train) [466000/640000]  base_lr: 3.4312e-05 lr: 3.4312e-06  eta: 2 days, 19:22:21  time: 1.3902  data_time: 0.0238  memory: 25565  grad_norm: 3.3765  loss: 1.1038  caption_loss_cls: 1.9470  detection_loss_cls: 0.0246  detection_loss_reg: 0.3089  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0955  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3049  instance_segmentation_loss_poly: 0.8107
2024/01/10 14:13:04 - mmengine - INFO - Saving checkpoint at 466000 iterations
2024/01/10 14:25:26 - mmengine - INFO - Iter(train) [466500/640000]  base_lr: 3.4127e-05 lr: 3.4127e-06  eta: 2 days, 19:15:18  time: 1.3953  data_time: 0.0241  memory: 25565  grad_norm: 3.3366  loss: 1.1050  caption_loss_cls: 1.9438  detection_loss_cls: 0.0246  detection_loss_reg: 0.3088  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0976  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3046  instance_segmentation_loss_poly: 0.8098
2024/01/10 14:36:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 14:36:53 - mmengine - INFO - Iter(train) [467000/640000]  base_lr: 3.3943e-05 lr: 3.3943e-06  eta: 2 days, 19:02:33  time: 1.3843  data_time: 0.0240  memory: 25565  grad_norm: 3.3628  loss: 1.1155  caption_loss_cls: 1.9447  detection_loss_cls: 0.0246  detection_loss_reg: 0.3089  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0968  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3044  instance_segmentation_loss_poly: 0.8088
2024/01/10 14:48:33 - mmengine - INFO - Iter(train) [467500/640000]  base_lr: 3.3759e-05 lr: 3.3759e-06  eta: 2 days, 18:51:07  time: 1.3915  data_time: 0.0240  memory: 25565  grad_norm: 3.3217  loss: 1.1081  caption_loss_cls: 1.9430  detection_loss_cls: 0.0245  detection_loss_reg: 0.3079  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0954  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3047  instance_segmentation_loss_poly: 0.8094
2024/01/10 15:00:54 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 15:00:54 - mmengine - INFO - Iter(train) [468000/640000]  base_lr: 3.3575e-05 lr: 3.3575e-06  eta: 2 days, 18:43:38  time: 1.4135  data_time: 0.0244  memory: 25565  grad_norm: 3.2696  loss: 1.0990  caption_loss_cls: 1.9437  detection_loss_cls: 0.0247  detection_loss_reg: 0.3087  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0980  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3067  instance_segmentation_loss_poly: 0.8137
2024/01/10 15:00:54 - mmengine - INFO - Saving checkpoint at 468000 iterations
2024/01/10 15:12:32 - mmengine - INFO - Iter(train) [468500/640000]  base_lr: 3.3392e-05 lr: 3.3392e-06  eta: 2 days, 18:31:56  time: 1.4122  data_time: 0.0243  memory: 25565  grad_norm: 3.3173  loss: 1.0987  caption_loss_cls: 1.9423  detection_loss_cls: 0.0247  detection_loss_reg: 0.3097  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0947  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3066  instance_segmentation_loss_poly: 0.8130
2024/01/10 15:24:18 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 15:24:18 - mmengine - INFO - Iter(train) [469000/640000]  base_lr: 3.3209e-05 lr: 3.3209e-06  eta: 2 days, 18:20:58  time: 1.4126  data_time: 0.0243  memory: 25565  grad_norm: 3.3422  loss: 1.0991  caption_loss_cls: 1.9415  detection_loss_cls: 0.0246  detection_loss_reg: 0.3084  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0933  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3064  instance_segmentation_loss_poly: 0.8125
2024/01/10 15:35:22 - mmengine - INFO - Iter(train) [469500/640000]  base_lr: 3.3027e-05 lr: 3.3027e-06  eta: 2 days, 18:06:08  time: 1.4108  data_time: 0.0242  memory: 25565  grad_norm: 3.3699  loss: 1.0902  caption_loss_cls: 1.9403  detection_loss_cls: 0.0245  detection_loss_reg: 0.3077  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0899  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3060  instance_segmentation_loss_poly: 0.8122
2024/01/10 15:47:33 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 15:47:33 - mmengine - INFO - Iter(train) [470000/640000]  base_lr: 3.2844e-05 lr: 3.2844e-06  eta: 2 days, 17:57:23  time: 1.4164  data_time: 0.0243  memory: 25565  grad_norm: 3.3676  loss: 1.0873  caption_loss_cls: 1.9407  detection_loss_cls: 0.0243  detection_loss_reg: 0.3050  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0890  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3044  instance_segmentation_loss_poly: 0.8071
2024/01/10 15:47:33 - mmengine - INFO - Saving checkpoint at 470000 iterations
2024/01/10 15:59:27 - mmengine - INFO - Iter(train) [470500/640000]  base_lr: 3.2663e-05 lr: 3.2663e-06  eta: 2 days, 17:47:04  time: 1.4093  data_time: 0.0241  memory: 25565  grad_norm: 3.4081  loss: 1.0903  caption_loss_cls: 1.9393  detection_loss_cls: 0.0244  detection_loss_reg: 0.3056  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0838  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3026  instance_segmentation_loss_poly: 0.8030
2024/01/10 16:10:57 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 16:10:57 - mmengine - INFO - Iter(train) [471000/640000]  base_lr: 3.2482e-05 lr: 3.2482e-06  eta: 2 days, 17:34:41  time: 1.4102  data_time: 0.0241  memory: 25565  grad_norm: 3.4468  loss: 1.0894  caption_loss_cls: 1.9337  detection_loss_cls: 0.0244  detection_loss_reg: 0.3046  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0783  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3018  instance_segmentation_loss_poly: 0.8025
2024/01/10 16:22:41 - mmengine - INFO - Iter(train) [471500/640000]  base_lr: 3.2301e-05 lr: 3.2301e-06  eta: 2 days, 17:23:28  time: 1.4112  data_time: 0.0241  memory: 25565  grad_norm: 3.4531  loss: 1.0894  caption_loss_cls: 1.9352  detection_loss_cls: 0.0243  detection_loss_reg: 0.3031  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0766  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3018  instance_segmentation_loss_poly: 0.8028
2024/01/10 16:34:06 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 16:34:06 - mmengine - INFO - Iter(train) [472000/640000]  base_lr: 3.2120e-05 lr: 3.2120e-06  eta: 2 days, 17:10:43  time: 1.3972  data_time: 0.0239  memory: 25565  grad_norm: 3.4824  loss: 1.0892  caption_loss_cls: 1.9285  detection_loss_cls: 0.0243  detection_loss_reg: 0.3038  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0779  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3024  instance_segmentation_loss_poly: 0.8042
2024/01/10 16:34:06 - mmengine - INFO - Saving checkpoint at 472000 iterations
2024/01/10 16:45:58 - mmengine - INFO - Iter(train) [472500/640000]  base_lr: 3.1940e-05 lr: 3.1940e-06  eta: 2 days, 17:00:07  time: 1.4006  data_time: 0.0240  memory: 25565  grad_norm: 3.4408  loss: 1.0995  caption_loss_cls: 1.9259  detection_loss_cls: 0.0243  detection_loss_reg: 0.3036  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0756  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3029  instance_segmentation_loss_poly: 0.8062
2024/01/10 16:57:25 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 16:57:25 - mmengine - INFO - Iter(train) [473000/640000]  base_lr: 3.1761e-05 lr: 3.1761e-06  eta: 2 days, 16:47:31  time: 1.3958  data_time: 0.0240  memory: 25565  grad_norm: 3.3894  loss: 1.0946  caption_loss_cls: 1.9213  detection_loss_cls: 0.0244  detection_loss_reg: 0.3039  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0733  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3037  instance_segmentation_loss_poly: 0.8067
2024/01/10 17:09:01 - mmengine - INFO - Iter(train) [473500/640000]  base_lr: 3.1581e-05 lr: 3.1581e-06  eta: 2 days, 16:35:42  time: 1.4040  data_time: 0.0240  memory: 25565  grad_norm: 3.3430  loss: 1.0884  caption_loss_cls: 1.9242  detection_loss_cls: 0.0244  detection_loss_reg: 0.3036  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0733  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3037  instance_segmentation_loss_poly: 0.8054
2024/01/10 17:20:35 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 17:20:35 - mmengine - INFO - Iter(train) [474000/640000]  base_lr: 3.1403e-05 lr: 3.1403e-06  eta: 2 days, 16:23:40  time: 1.3948  data_time: 0.0240  memory: 25565  grad_norm: 3.3971  loss: 1.1012  caption_loss_cls: 1.9299  detection_loss_cls: 0.0243  detection_loss_reg: 0.3030  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0753  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3048  instance_segmentation_loss_poly: 0.8088
2024/01/10 17:20:35 - mmengine - INFO - Saving checkpoint at 474000 iterations
2024/01/10 17:32:45 - mmengine - INFO - Iter(train) [474500/640000]  base_lr: 3.1224e-05 lr: 3.1224e-06  eta: 2 days, 16:14:22  time: 1.3987  data_time: 0.0243  memory: 25565  grad_norm: 3.4192  loss: 1.1061  caption_loss_cls: 1.9234  detection_loss_cls: 0.0242  detection_loss_reg: 0.3016  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0766  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3057  instance_segmentation_loss_poly: 0.8115
2024/01/10 17:44:41 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 17:44:41 - mmengine - INFO - Iter(train) [475000/640000]  base_lr: 3.1046e-05 lr: 3.1046e-06  eta: 2 days, 16:04:00  time: 1.4051  data_time: 0.0243  memory: 25565  grad_norm: 3.3753  loss: 1.0994  caption_loss_cls: 1.9250  detection_loss_cls: 0.0242  detection_loss_reg: 0.3012  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0744  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3053  instance_segmentation_loss_poly: 0.8101
2024/01/10 17:56:14 - mmengine - INFO - Iter(train) [475500/640000]  base_lr: 3.0869e-05 lr: 3.0869e-06  eta: 2 days, 15:51:53  time: 1.4024  data_time: 0.0243  memory: 25565  grad_norm: 3.3663  loss: 1.1073  caption_loss_cls: 1.9280  detection_loss_cls: 0.0241  detection_loss_reg: 0.3007  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0726  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3055  instance_segmentation_loss_poly: 0.8101
2024/01/10 18:07:27 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 18:07:27 - mmengine - INFO - Iter(train) [476000/640000]  base_lr: 3.0692e-05 lr: 3.0692e-06  eta: 2 days, 15:38:21  time: 1.3993  data_time: 0.0242  memory: 25565  grad_norm: 3.3653  loss: 1.1160  caption_loss_cls: 1.9274  detection_loss_cls: 0.0240  detection_loss_reg: 0.3000  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0740  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3064  instance_segmentation_loss_poly: 0.8114
2024/01/10 18:07:27 - mmengine - INFO - Saving checkpoint at 476000 iterations
2024/01/10 18:19:41 - mmengine - INFO - Iter(train) [476500/640000]  base_lr: 3.0515e-05 lr: 3.0515e-06  eta: 2 days, 15:29:14  time: 1.4050  data_time: 0.0242  memory: 25565  grad_norm: 3.3760  loss: 1.1060  caption_loss_cls: 1.9281  detection_loss_cls: 0.0242  detection_loss_reg: 0.3014  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0727  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3078  instance_segmentation_loss_poly: 0.8148
2024/01/10 18:30:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 18:30:52 - mmengine - INFO - Iter(train) [477000/640000]  base_lr: 3.0339e-05 lr: 3.0339e-06  eta: 2 days, 15:15:35  time: 1.4010  data_time: 0.0242  memory: 25565  grad_norm: 3.4535  loss: 1.1179  caption_loss_cls: 1.9309  detection_loss_cls: 0.0240  detection_loss_reg: 0.3004  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0731  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3081  instance_segmentation_loss_poly: 0.8155
2024/01/10 18:42:48 - mmengine - INFO - Iter(train) [477500/640000]  base_lr: 3.0163e-05 lr: 3.0163e-06  eta: 2 days, 15:05:05  time: 1.4058  data_time: 0.0242  memory: 25565  grad_norm: 3.4307  loss: 1.1097  caption_loss_cls: 1.9331  detection_loss_cls: 0.0239  detection_loss_reg: 0.2993  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0717  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3071  instance_segmentation_loss_poly: 0.8130
2024/01/10 18:54:28 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 18:54:28 - mmengine - INFO - Iter(train) [478000/640000]  base_lr: 2.9987e-05 lr: 2.9987e-06  eta: 2 days, 14:53:30  time: 1.4074  data_time: 0.0242  memory: 25565  grad_norm: 3.4347  loss: 1.0911  caption_loss_cls: 1.9360  detection_loss_cls: 0.0239  detection_loss_reg: 0.2986  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0680  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3060  instance_segmentation_loss_poly: 0.8102
2024/01/10 18:54:28 - mmengine - INFO - Saving checkpoint at 478000 iterations
2024/01/10 19:06:15 - mmengine - INFO - Iter(train) [478500/640000]  base_lr: 2.9812e-05 lr: 2.9812e-06  eta: 2 days, 14:42:21  time: 1.4016  data_time: 0.0240  memory: 25565  grad_norm: 3.4239  loss: 1.0919  caption_loss_cls: 1.9373  detection_loss_cls: 0.0240  detection_loss_reg: 0.2996  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0675  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3051  instance_segmentation_loss_poly: 0.8100
2024/01/10 19:17:38 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 19:17:38 - mmengine - INFO - Iter(train) [479000/640000]  base_lr: 2.9638e-05 lr: 2.9638e-06  eta: 2 days, 14:29:40  time: 1.3935  data_time: 0.0239  memory: 25565  grad_norm: 3.4558  loss: 1.1039  caption_loss_cls: 1.9349  detection_loss_cls: 0.0242  detection_loss_reg: 0.3013  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0664  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3054  instance_segmentation_loss_poly: 0.8093
2024/01/10 19:29:10 - mmengine - INFO - Iter(train) [479500/640000]  base_lr: 2.9463e-05 lr: 2.9463e-06  eta: 2 days, 14:17:32  time: 1.3931  data_time: 0.0240  memory: 25565  grad_norm: 3.4344  loss: 1.0940  caption_loss_cls: 1.9332  detection_loss_cls: 0.0241  detection_loss_reg: 0.3005  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0651  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3061  instance_segmentation_loss_poly: 0.8104
2024/01/10 19:40:30 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 19:40:30 - mmengine - INFO - Iter(train) [480000/640000]  base_lr: 2.9290e-05 lr: 2.9290e-06  eta: 2 days, 14:04:44  time: 1.3951  data_time: 0.0240  memory: 25565  grad_norm: 3.4462  loss: 1.0834  caption_loss_cls: 1.9336  detection_loss_cls: 0.0241  detection_loss_reg: 0.3000  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0624  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3035  instance_segmentation_loss_poly: 0.8046
2024/01/10 19:40:30 - mmengine - INFO - Saving checkpoint at 480000 iterations
2024/01/10 19:52:13 - mmengine - INFO - Evaluating bbox...
2024/01/10 19:53:10 - mmengine - INFO - bbox_mAP_copypaste: 0.520 0.702 0.570 0.365 0.568 0.678
2024/01/10 19:53:10 - mmengine - INFO - Evaluating segm...
2024/01/10 19:54:22 - mmengine - INFO - segm_mAP_copypaste: 0.351 0.619 0.353 0.207 0.399 0.541
2024/01/10 19:56:30 - mmengine - INFO - Evaluating bbox...
2024/01/10 19:57:28 - mmengine - INFO - bbox_mAP_copypaste: 0.518 0.702 0.568 0.362 0.566 0.678
2024/01/10 20:02:15 - mmengine - INFO - per class results:
2024/01/10 20:02:15 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.23 | 89.04 |
|       building      | 82.44 | 92.38 |
|         sky         | 93.36 | 97.82 |
|        floor        | 82.28 | 91.48 |
|         tree        | 74.19 | 87.62 |
|       ceiling       | 85.53 | 94.47 |
|         road        | 84.73 | 90.54 |
|         bed         | 90.87 | 95.96 |
|      windowpane     | 63.72 | 80.47 |
|        grass        | 68.23 | 85.16 |
|       cabinet       | 64.31 | 76.55 |
|       sidewalk      | 70.18 | 82.14 |
|        person       | 81.93 | 92.43 |
|        earth        | 35.06 | 42.47 |
|         door        | 53.92 | 70.57 |
|        table        | 65.08 | 80.78 |
|       mountain      | 60.64 | 77.33 |
|        plant        | 53.23 | 62.12 |
|       curtain       | 76.71 |  88.0 |
|        chair        |  62.7 |  75.0 |
|         car         | 85.31 | 92.12 |
|        water        | 59.92 | 73.67 |
|       painting      |  74.9 | 87.69 |
|         sofa        | 71.53 | 83.07 |
|        shelf        | 45.93 | 67.41 |
|        house        | 44.47 | 60.71 |
|         sea         | 58.43 | 77.24 |
|        mirror       | 68.82 | 79.03 |
|         rug         | 61.36 | 69.69 |
|        field        | 36.61 | 60.54 |
|       armchair      | 51.84 | 71.33 |
|         seat        | 65.93 | 81.63 |
|        fence        | 47.76 | 61.75 |
|         desk        | 54.07 | 70.74 |
|         rock        | 47.97 | 68.69 |
|       wardrobe      | 46.82 | 64.94 |
|         lamp        | 67.41 | 81.47 |
|       bathtub       | 80.15 | 89.55 |
|       railing       | 41.17 | 58.45 |
|       cushion       | 64.43 | 78.83 |
|         base        | 20.04 | 27.91 |
|         box         | 30.31 | 38.66 |
|        column       |  54.9 | 65.77 |
|      signboard      | 38.68 | 51.91 |
|   chest of drawers  | 37.53 | 54.89 |
|       counter       | 32.15 | 47.84 |
|         sand        | 43.62 |  69.2 |
|         sink        | 78.26 | 88.06 |
|      skyscraper     | 46.11 | 55.76 |
|      fireplace      | 76.82 |  87.4 |
|     refrigerator    | 81.18 | 84.46 |
|      grandstand     | 47.58 | 80.45 |
|         path        | 19.36 | 30.73 |
|        stairs       | 37.01 | 44.33 |
|        runway       | 74.13 |  94.1 |
|         case        | 46.79 | 59.28 |
|      pool table     | 92.15 | 95.74 |
|        pillow       | 61.67 | 73.37 |
|     screen door     | 56.69 | 60.87 |
|       stairway      | 33.64 | 40.66 |
|        river        | 15.82 |  29.7 |
|        bridge       | 69.72 | 77.28 |
|       bookcase      | 42.01 | 56.22 |
|        blind        |  39.8 | 44.99 |
|     coffee table    | 63.51 | 76.94 |
|        toilet       | 87.83 | 91.57 |
|        flower       | 41.55 | 57.03 |
|         book        | 48.24 | 68.11 |
|         hill        | 14.95 | 23.88 |
|        bench        | 60.66 |  70.8 |
|      countertop     | 62.23 | 78.02 |
|        stove        | 81.06 | 84.64 |
|         palm        |  50.1 | 71.96 |
|    kitchen island   | 41.45 | 58.12 |
|       computer      | 77.83 | 88.71 |
|     swivel chair    | 45.63 | 63.83 |
|         boat        | 64.67 | 83.88 |
|         bar         | 37.11 |  44.9 |
|    arcade machine   | 83.26 | 89.75 |
|        hovel        | 29.41 | 32.56 |
|         bus         | 86.41 | 94.26 |
|        towel        | 66.89 | 78.48 |
|        light        | 54.27 | 65.61 |
|        truck        | 47.67 | 61.19 |
|        tower        | 27.55 |  46.1 |
|      chandelier     | 65.52 | 75.09 |
|        awning       | 32.89 | 43.23 |
|     streetlight     | 33.77 | 46.09 |
|        booth        | 45.53 | 56.34 |
| television receiver | 74.19 | 86.66 |
|       airplane      |  71.1 | 81.69 |
|      dirt track     |  5.53 | 34.12 |
|       apparel       | 32.34 | 48.27 |
|         pole        | 28.23 | 40.62 |
|         land        |  3.89 |  5.56 |
|      bannister      | 14.67 | 19.81 |
|      escalator      |  26.6 | 28.63 |
|       ottoman       | 55.08 | 71.39 |
|        bottle       | 29.49 | 38.12 |
|        buffet       | 55.12 | 63.08 |
|        poster       | 35.66 | 45.85 |
|        stage        | 11.86 | 18.99 |
|         van         | 44.58 | 59.25 |
|         ship        |  8.84 |  9.73 |
|       fountain      | 19.54 | 19.72 |
|    conveyer belt    | 70.79 | 91.25 |
|        canopy       | 35.17 | 46.05 |
|        washer       | 67.92 | 72.45 |
|      plaything      | 33.88 | 43.72 |
|    swimming pool    | 69.62 | 71.65 |
|        stool        | 44.89 | 63.62 |
|        barrel       | 19.89 |  67.1 |
|        basket       | 34.47 | 43.74 |
|      waterfall      | 65.16 | 87.73 |
|         tent        | 74.49 | 96.77 |
|         bag         | 24.13 |  30.9 |
|       minibike      | 73.21 | 83.32 |
|        cradle       | 83.47 | 96.61 |
|         oven        | 56.47 | 70.13 |
|         ball        | 51.62 | 66.34 |
|         food        | 54.02 | 58.91 |
|         step        | 18.18 | 24.01 |
|         tank        | 45.93 | 49.34 |
|      trade name     | 23.49 | 27.92 |
|      microwave      | 88.21 | 94.37 |
|         pot         | 52.15 | 61.91 |
|        animal       | 62.28 | 66.42 |
|       bicycle       | 59.75 | 74.98 |
|         lake        | 57.78 | 62.58 |
|      dishwasher     | 74.75 | 86.91 |
|        screen       | 69.55 | 86.73 |
|       blanket       | 31.49 | 38.13 |
|      sculpture      | 65.71 | 78.31 |
|         hood        |  66.1 | 74.63 |
|        sconce       | 45.09 | 54.66 |
|         vase        | 44.15 | 62.82 |
|    traffic light    | 42.74 | 65.15 |
|         tray        | 19.74 | 31.84 |
|        ashcan       | 39.65 | 54.03 |
|         fan         | 63.97 | 76.88 |
|         pier        | 47.45 | 52.77 |
|      crt screen     |  8.28 | 22.22 |
|        plate        | 58.79 | 77.11 |
|       monitor       | 14.24 | 16.69 |
|    bulletin board   | 54.67 | 62.68 |
|        shower       |  3.2  |  3.4  |
|       radiator      | 61.09 |  71.8 |
|        glass        | 18.93 | 20.84 |
|        clock        |  39.8 | 47.62 |
|         flag        | 45.16 | 52.23 |
+---------------------+-------+-------+
2024/01/10 20:02:28 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5180  coco/bbox_mAP_50: 0.7020  coco/bbox_mAP_75: 0.5680  coco/bbox_mAP_s: 0.3620  coco/bbox_mAP_m: 0.5660  coco/bbox_mAP_l: 0.6780  coco/segm_mAP: 0.3510  coco/segm_mAP_50: 0.6190  coco/segm_mAP_75: 0.3530  coco/segm_mAP_s: 0.2070  coco/segm_mAP_m: 0.3990  coco/segm_mAP_l: 0.5410  Bleu_1: 0.7705  Bleu_2: 0.6092  Bleu_3: 0.4666  Bleu_4: 0.3533  METEOR: 0.2801  ROUGE_L: 0.5701  CIDEr: 1.1583  SPICE: 0.2090  aAcc: 84.2000  mIoU: 52.1800  mAcc: 64.0200  visual-grounding/miou: 0.8292  visual-grounding/acc: 0.8860  data_time: 0.0114  time: 1.9011
2024/01/10 20:14:07 - mmengine - INFO - Iter(train) [480500/640000]  base_lr: 2.9116e-05 lr: 2.9116e-06  eta: 2 days, 13:53:15  time: 1.3867  data_time: 0.0184  memory: 34657  grad_norm: 3.4317  loss: 1.0861  caption_loss_cls: 1.9363  detection_loss_cls: 0.0240  detection_loss_reg: 0.2999  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0618  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3029  instance_segmentation_loss_poly: 0.8028
2024/01/10 20:25:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 20:25:56 - mmengine - INFO - Iter(train) [481000/640000]  base_lr: 2.8943e-05 lr: 2.8943e-06  eta: 2 days, 13:42:14  time: 1.3963  data_time: 0.0186  memory: 25565  grad_norm: 3.3957  loss: 1.0856  caption_loss_cls: 1.9375  detection_loss_cls: 0.0238  detection_loss_reg: 0.2986  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0622  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3042  instance_segmentation_loss_poly: 0.8048
2024/01/10 20:37:37 - mmengine - INFO - Iter(train) [481500/640000]  base_lr: 2.8771e-05 lr: 2.8771e-06  eta: 2 days, 13:30:43  time: 1.3927  data_time: 0.0185  memory: 25565  grad_norm: 3.3998  loss: 1.0897  caption_loss_cls: 1.9372  detection_loss_cls: 0.0238  detection_loss_reg: 0.2983  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0660  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3035  instance_segmentation_loss_poly: 0.8026
2024/01/10 20:49:19 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 20:49:19 - mmengine - INFO - Iter(train) [482000/640000]  base_lr: 2.8599e-05 lr: 2.8599e-06  eta: 2 days, 13:19:16  time: 1.3931  data_time: 0.0186  memory: 25565  grad_norm: 3.3753  loss: 1.1055  caption_loss_cls: 1.9410  detection_loss_cls: 0.0240  detection_loss_reg: 0.3001  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0652  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3042  instance_segmentation_loss_poly: 0.8041
2024/01/10 20:49:19 - mmengine - INFO - Saving checkpoint at 482000 iterations
2024/01/10 21:01:36 - mmengine - INFO - Iter(train) [482500/640000]  base_lr: 2.8427e-05 lr: 2.8427e-06  eta: 2 days, 13:09:53  time: 1.4008  data_time: 0.0188  memory: 25565  grad_norm: 3.3983  loss: 1.1000  caption_loss_cls: 1.9422  detection_loss_cls: 0.0240  detection_loss_reg: 0.3005  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0637  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3067  instance_segmentation_loss_poly: 0.8098
2024/01/10 21:13:07 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 21:13:07 - mmengine - INFO - Iter(train) [483000/640000]  base_lr: 2.8256e-05 lr: 2.8256e-06  eta: 2 days, 12:57:45  time: 1.4027  data_time: 0.0188  memory: 25565  grad_norm: 3.3939  loss: 1.0980  caption_loss_cls: 1.9430  detection_loss_cls: 0.0240  detection_loss_reg: 0.3016  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0634  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3071  instance_segmentation_loss_poly: 0.8106
2024/01/10 21:25:03 - mmengine - INFO - Iter(train) [483500/640000]  base_lr: 2.8085e-05 lr: 2.8085e-06  eta: 2 days, 12:47:03  time: 1.4088  data_time: 0.0189  memory: 25565  grad_norm: 3.4204  loss: 1.1005  caption_loss_cls: 1.9395  detection_loss_cls: 0.0240  detection_loss_reg: 0.3009  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0619  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3084  instance_segmentation_loss_poly: 0.8138
2024/01/10 21:36:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 21:36:31 - mmengine - INFO - Iter(train) [484000/640000]  base_lr: 2.7915e-05 lr: 2.7915e-06  eta: 2 days, 12:34:45  time: 1.4107  data_time: 0.0189  memory: 25565  grad_norm: 3.4028  loss: 1.0974  caption_loss_cls: 1.9400  detection_loss_cls: 0.0241  detection_loss_reg: 0.3013  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0583  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3082  instance_segmentation_loss_poly: 0.8132
2024/01/10 21:36:31 - mmengine - INFO - Saving checkpoint at 484000 iterations
2024/01/10 21:48:48 - mmengine - INFO - Iter(train) [484500/640000]  base_lr: 2.7745e-05 lr: 2.7745e-06  eta: 2 days, 12:25:11  time: 1.4195  data_time: 0.0245  memory: 25565  grad_norm: 3.5325  loss: 1.0889  caption_loss_cls: 1.9380  detection_loss_cls: 0.0243  detection_loss_reg: 0.3027  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0575  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3096  instance_segmentation_loss_poly: 0.8162
2024/01/10 22:00:28 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 22:00:28 - mmengine - INFO - Iter(train) [485000/640000]  base_lr: 2.7576e-05 lr: 2.7576e-06  eta: 2 days, 12:13:30  time: 1.4171  data_time: 0.0244  memory: 25565  grad_norm: 3.5252  loss: 1.0837  caption_loss_cls: 1.9424  detection_loss_cls: 0.0243  detection_loss_reg: 0.3036  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0600  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3084  instance_segmentation_loss_poly: 0.8133
2024/01/10 22:12:05 - mmengine - INFO - Iter(train) [485500/640000]  base_lr: 2.7407e-05 lr: 2.7407e-06  eta: 2 days, 12:01:44  time: 1.4163  data_time: 0.0245  memory: 25565  grad_norm: 3.5399  loss: 1.0927  caption_loss_cls: 1.9387  detection_loss_cls: 0.0243  detection_loss_reg: 0.3027  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0612  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3073  instance_segmentation_loss_poly: 0.8103
2024/01/10 22:24:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 22:24:12 - mmengine - INFO - Iter(train) [486000/640000]  base_lr: 2.7238e-05 lr: 2.7238e-06  eta: 2 days, 11:51:30  time: 1.4224  data_time: 0.0245  memory: 25565  grad_norm: 3.5260  loss: 1.0844  caption_loss_cls: 1.9328  detection_loss_cls: 0.0243  detection_loss_reg: 0.3034  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0584  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3082  instance_segmentation_loss_poly: 0.8141
2024/01/10 22:24:12 - mmengine - INFO - Saving checkpoint at 486000 iterations
2024/01/10 22:36:21 - mmengine - INFO - Iter(train) [486500/640000]  base_lr: 2.7070e-05 lr: 2.7070e-06  eta: 2 days, 11:41:23  time: 1.4204  data_time: 0.0244  memory: 25565  grad_norm: 3.5091  loss: 1.0902  caption_loss_cls: 1.9333  detection_loss_cls: 0.0244  detection_loss_reg: 0.3040  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0586  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3083  instance_segmentation_loss_poly: 0.8144
2024/01/10 22:48:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 22:48:22 - mmengine - INFO - Iter(train) [487000/640000]  base_lr: 2.6902e-05 lr: 2.6902e-06  eta: 2 days, 11:30:46  time: 1.4277  data_time: 0.0244  memory: 25565  grad_norm: 3.4713  loss: 1.0755  caption_loss_cls: 1.9311  detection_loss_cls: 0.0244  detection_loss_reg: 0.3043  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0582  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3066  instance_segmentation_loss_poly: 0.8115
2024/01/10 23:00:18 - mmengine - INFO - Iter(train) [487500/640000]  base_lr: 2.6735e-05 lr: 2.6735e-06  eta: 2 days, 11:19:54  time: 1.4278  data_time: 0.0243  memory: 25565  grad_norm: 3.4362  loss: 1.0614  caption_loss_cls: 1.9273  detection_loss_cls: 0.0244  detection_loss_reg: 0.3036  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0597  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3060  instance_segmentation_loss_poly: 0.8104
2024/01/10 23:12:16 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 23:12:16 - mmengine - INFO - Iter(train) [488000/640000]  base_lr: 2.6568e-05 lr: 2.6568e-06  eta: 2 days, 11:09:07  time: 1.4353  data_time: 0.0244  memory: 25565  grad_norm: 3.3998  loss: 1.0596  caption_loss_cls: 1.9293  detection_loss_cls: 0.0244  detection_loss_reg: 0.3027  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0597  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3046  instance_segmentation_loss_poly: 0.8083
2024/01/10 23:12:16 - mmengine - INFO - Saving checkpoint at 488000 iterations
2024/01/10 23:24:28 - mmengine - INFO - Iter(train) [488500/640000]  base_lr: 2.6402e-05 lr: 2.6402e-06  eta: 2 days, 10:59:00  time: 1.4342  data_time: 0.0244  memory: 25565  grad_norm: 3.2611  loss: 1.0592  caption_loss_cls: 1.9282  detection_loss_cls: 0.0245  detection_loss_reg: 0.3027  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0577  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3056  instance_segmentation_loss_poly: 0.8094
2024/01/10 23:35:41 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 23:35:41 - mmengine - INFO - Iter(train) [489000/640000]  base_lr: 2.6236e-05 lr: 2.6236e-06  eta: 2 days, 10:45:54  time: 1.4274  data_time: 0.0244  memory: 25565  grad_norm: 3.2770  loss: 1.0732  caption_loss_cls: 1.9296  detection_loss_cls: 0.0247  detection_loss_reg: 0.3046  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0600  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3064  instance_segmentation_loss_poly: 0.8105
2024/01/10 23:47:15 - mmengine - INFO - Iter(train) [489500/640000]  base_lr: 2.6070e-05 lr: 2.6070e-06  eta: 2 days, 10:33:55  time: 1.4266  data_time: 0.0244  memory: 25565  grad_norm: 3.3038  loss: 1.0635  caption_loss_cls: 1.9251  detection_loss_cls: 0.0247  detection_loss_reg: 0.3035  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0592  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3061  instance_segmentation_loss_poly: 0.8091
2024/01/10 23:58:55 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/10 23:58:55 - mmengine - INFO - Iter(train) [490000/640000]  base_lr: 2.5905e-05 lr: 2.5905e-06  eta: 2 days, 10:22:12  time: 1.4200  data_time: 0.0242  memory: 25565  grad_norm: 3.3118  loss: 1.0632  caption_loss_cls: 1.9240  detection_loss_cls: 0.0248  detection_loss_reg: 0.3053  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0595  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3052  instance_segmentation_loss_poly: 0.8074
2024/01/10 23:58:55 - mmengine - INFO - Saving checkpoint at 490000 iterations
2024/01/11 00:10:46 - mmengine - INFO - Iter(train) [490500/640000]  base_lr: 2.5741e-05 lr: 2.5741e-06  eta: 2 days, 10:10:58  time: 1.4152  data_time: 0.0244  memory: 25565  grad_norm: 3.2996  loss: 1.0558  caption_loss_cls: 1.9235  detection_loss_cls: 0.0248  detection_loss_reg: 0.3048  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0585  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3057  instance_segmentation_loss_poly: 0.8079
2024/01/11 00:22:43 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/11 00:22:43 - mmengine - INFO - Iter(train) [491000/640000]  base_lr: 2.5576e-05 lr: 2.5576e-06  eta: 2 days, 10:00:04  time: 1.4145  data_time: 0.0244  memory: 25565  grad_norm: 3.3047  loss: 1.0602  caption_loss_cls: 1.9247  detection_loss_cls: 0.0248  detection_loss_reg: 0.3051  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0591  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3048  instance_segmentation_loss_poly: 0.8051
2024/01/11 00:34:24 - mmengine - INFO - Iter(train) [491500/640000]  base_lr: 2.5413e-05 lr: 2.5413e-06  eta: 2 days, 9:48:24  time: 1.4108  data_time: 0.0244  memory: 25565  grad_norm: 3.3437  loss: 1.0666  caption_loss_cls: 1.9212  detection_loss_cls: 0.0249  detection_loss_reg: 0.3069  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0616  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3038  instance_segmentation_loss_poly: 0.8024
2024/01/11 00:46:10 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/11 00:46:10 - mmengine - INFO - Iter(train) [492000/640000]  base_lr: 2.5249e-05 lr: 2.5249e-06  eta: 2 days, 9:36:55  time: 1.4076  data_time: 0.0243  memory: 25565  grad_norm: 3.3356  loss: 1.0706  caption_loss_cls: 1.9299  detection_loss_cls: 0.0248  detection_loss_reg: 0.3063  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0574  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3036  instance_segmentation_loss_poly: 0.8026
2024/01/11 00:46:10 - mmengine - INFO - Saving checkpoint at 492000 iterations
2024/01/11 00:58:31 - mmengine - INFO - Iter(train) [492500/640000]  base_lr: 2.5087e-05 lr: 2.5087e-06  eta: 2 days, 9:27:02  time: 1.4097  data_time: 0.0242  memory: 25565  grad_norm: 3.3092  loss: 1.0581  caption_loss_cls: 1.9249  detection_loss_cls: 0.0247  detection_loss_reg: 0.3056  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0552  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3016  instance_segmentation_loss_poly: 0.7973
2024/01/11 01:10:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/11 01:10:03 - mmengine - INFO - Iter(train) [493000/640000]  base_lr: 2.4924e-05 lr: 2.4924e-06  eta: 2 days, 9:14:55  time: 1.4145  data_time: 0.0242  memory: 25565  grad_norm: 3.3286  loss: 1.0389  caption_loss_cls: 1.9242  detection_loss_cls: 0.0245  detection_loss_reg: 0.3051  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0527  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3013  instance_segmentation_loss_poly: 0.7966
2024/01/11 01:21:40 - mmengine - INFO - Iter(train) [493500/640000]  base_lr: 2.4762e-05 lr: 2.4762e-06  eta: 2 days, 9:03:03  time: 1.4153  data_time: 0.0242  memory: 25565  grad_norm: 3.2915  loss: 1.0476  caption_loss_cls: 1.9245  detection_loss_cls: 0.0246  detection_loss_reg: 0.3061  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0521  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3000  instance_segmentation_loss_poly: 0.7937
2024/01/11 01:33:35 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/11 01:33:35 - mmengine - INFO - Iter(train) [494000/640000]  base_lr: 2.4601e-05 lr: 2.4601e-06  eta: 2 days, 8:51:58  time: 1.4190  data_time: 0.0242  memory: 25565  grad_norm: 3.3229  loss: 1.0478  caption_loss_cls: 1.9261  detection_loss_cls: 0.0246  detection_loss_reg: 0.3076  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0517  instance_segmentation_loss_cls: 0.0233  instance_segmentation_loss_reg: 0.2983  instance_segmentation_loss_poly: 0.7889
2024/01/11 01:33:35 - mmengine - INFO - Saving checkpoint at 494000 iterations
2024/01/11 01:45:19 - mmengine - INFO - Iter(train) [494500/640000]  base_lr: 2.4440e-05 lr: 2.4440e-06  eta: 2 days, 8:40:22  time: 1.4174  data_time: 0.0243  memory: 25565  grad_norm: 3.3675  loss: 1.0664  caption_loss_cls: 1.9209  detection_loss_cls: 0.0248  detection_loss_reg: 0.3077  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0544  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.2984  instance_segmentation_loss_poly: 0.7886
2024/01/11 01:56:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/11 01:56:53 - mmengine - INFO - Iter(train) [495000/640000]  base_lr: 2.4279e-05 lr: 2.4279e-06  eta: 2 days, 8:28:22  time: 1.4115  data_time: 0.0242  memory: 25565  grad_norm: 3.3681  loss: 1.0660  caption_loss_cls: 1.9206  detection_loss_cls: 0.0248  detection_loss_reg: 0.3087  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0578  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.2980  instance_segmentation_loss_poly: 0.7890
2024/01/11 02:08:26 - mmengine - INFO - Iter(train) [495500/640000]  base_lr: 2.4119e-05 lr: 2.4119e-06  eta: 2 days, 8:16:20  time: 1.4095  data_time: 0.0242  memory: 25565  grad_norm: 3.3441  loss: 1.0718  caption_loss_cls: 1.9170  detection_loss_cls: 0.0248  detection_loss_reg: 0.3092  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0536  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.2977  instance_segmentation_loss_poly: 0.7884
2024/01/11 02:20:07 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240110_023224
2024/01/11 02:20:07 - mmengine - INFO - Iter(train) [496000/640000]  base_lr: 2.3960e-05 lr: 2.3960e-06  eta: 2 days, 8:04:37  time: 1.4083  data_time: 0.0243  memory: 25565  grad_norm: 3.3715  loss: 1.0770  caption_loss_cls: 1.9188  detection_loss_cls: 0.0247  detection_loss_reg: 0.3087  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0486  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.2974  instance_segmentation_loss_poly: 0.7887
2024/01/11 02:20:07 - mmengine - INFO - Saving checkpoint at 496000 iterations
2024/01/11 02:31:52 - mmengine - INFO - Iter(train) [496500/640000]  base_lr: 2.3801e-05 lr: 2.3801e-06  eta: 2 days, 7:53:06  time: 1.3995  data_time: 0.0242  memory: 25565  grad_norm: 3.4598  loss: 1.0958  caption_loss_cls: 1.9153  detection_loss_cls: 0.0244  detection_loss_reg: 0.3063  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0502  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.2971  instance_segmentation_loss_poly: 0.7883
2024/01/11 05:43:11 - mmengine - INFO - Iter(train) [497000/640000]  base_lr: 2.3642e-05 lr: 2.3642e-06  eta: 2 days, 6:22:19  time: 1.3925  data_time: 0.0180  memory: 25630  grad_norm: 3.3466  loss: 1.1066  caption_loss_cls: 1.9202  detection_loss_cls: 0.0246  detection_loss_reg: 0.3079  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0468  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.2987  instance_segmentation_loss_poly: 0.7924
2024/01/11 05:54:46 - mmengine - INFO - Iter(train) [497500/640000]  base_lr: 2.3484e-05 lr: 2.3484e-06  eta: 2 days, 6:26:11  time: 1.3918  data_time: 0.0178  memory: 25630  grad_norm: 3.3529  loss: 1.0969  caption_loss_cls: 1.9102  detection_loss_cls: 0.0248  detection_loss_reg: 0.3084  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0452  instance_segmentation_loss_cls: 0.0233  instance_segmentation_loss_reg: 0.2991  instance_segmentation_loss_poly: 0.7938
2024/01/11 06:06:40 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 06:06:40 - mmengine - INFO - Iter(train) [498000/640000]  base_lr: 2.3326e-05 lr: 2.3326e-06  eta: 2 days, 6:46:01  time: 1.3917  data_time: 0.0178  memory: 25630  grad_norm: 3.3684  loss: 1.1050  caption_loss_cls: 1.9123  detection_loss_cls: 0.0249  detection_loss_reg: 0.3092  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0452  instance_segmentation_loss_cls: 0.0233  instance_segmentation_loss_reg: 0.3001  instance_segmentation_loss_poly: 0.7959
2024/01/11 06:06:40 - mmengine - INFO - Saving checkpoint at 498000 iterations
2024/01/11 06:18:45 - mmengine - INFO - Iter(train) [498500/640000]  base_lr: 2.3168e-05 lr: 2.3168e-06  eta: 2 days, 7:02:33  time: 1.3969  data_time: 0.0177  memory: 25630  grad_norm: 3.3620  loss: 1.0988  caption_loss_cls: 1.9132  detection_loss_cls: 0.0248  detection_loss_reg: 0.3081  semantic_segmentation_loss_cls: 0.0065  grounding_loss_reg: 2.0424  instance_segmentation_loss_cls: 0.0234  instance_segmentation_loss_reg: 0.3014  instance_segmentation_loss_poly: 0.7978
2024/01/11 06:30:35 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 06:30:35 - mmengine - INFO - Iter(train) [499000/640000]  base_lr: 2.3012e-05 lr: 2.3012e-06  eta: 2 days, 6:58:43  time: 1.4010  data_time: 0.0177  memory: 25630  grad_norm: 3.3727  loss: 1.1084  caption_loss_cls: 1.9131  detection_loss_cls: 0.0249  detection_loss_reg: 0.3094  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0445  instance_segmentation_loss_cls: 0.0234  instance_segmentation_loss_reg: 0.3017  instance_segmentation_loss_poly: 0.7988
2024/01/11 06:42:26 - mmengine - INFO - Iter(train) [499500/640000]  base_lr: 2.2855e-05 lr: 2.2855e-06  eta: 2 days, 6:52:34  time: 1.4054  data_time: 0.0176  memory: 25630  grad_norm: 3.4559  loss: 1.1091  caption_loss_cls: 1.9133  detection_loss_cls: 0.0246  detection_loss_reg: 0.3069  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0444  instance_segmentation_loss_cls: 0.0234  instance_segmentation_loss_reg: 0.3013  instance_segmentation_loss_poly: 0.7970
2024/01/11 06:54:28 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 06:54:28 - mmengine - INFO - Iter(train) [500000/640000]  base_lr: 2.2699e-05 lr: 2.2699e-06  eta: 2 days, 6:51:24  time: 1.4106  data_time: 0.0174  memory: 25630  grad_norm: 3.4281  loss: 1.0923  caption_loss_cls: 1.9131  detection_loss_cls: 0.0246  detection_loss_reg: 0.3066  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0432  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3025  instance_segmentation_loss_poly: 0.8003
2024/01/11 06:54:28 - mmengine - INFO - Saving checkpoint at 500000 iterations
2024/01/11 07:05:53 - mmengine - INFO - Evaluating bbox...
2024/01/11 07:06:50 - mmengine - INFO - bbox_mAP_copypaste: 0.524 0.704 0.573 0.379 0.571 0.677
2024/01/11 07:06:50 - mmengine - INFO - Evaluating segm...
2024/01/11 07:08:03 - mmengine - INFO - segm_mAP_copypaste: 0.354 0.623 0.354 0.216 0.399 0.541
2024/01/11 07:10:13 - mmengine - INFO - Evaluating bbox...
2024/01/11 07:11:12 - mmengine - INFO - bbox_mAP_copypaste: 0.524 0.705 0.572 0.374 0.570 0.677
2024/01/11 07:17:28 - mmengine - INFO - per class results:
2024/01/11 07:17:28 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.58 |  89.4 |
|       building      | 82.91 | 92.66 |
|         sky         | 93.66 | 97.93 |
|        floor        | 82.53 | 91.14 |
|         tree        | 74.39 | 87.09 |
|       ceiling       | 85.83 | 94.85 |
|         road        |  84.2 |  89.6 |
|         bed         | 90.63 | 95.94 |
|      windowpane     | 63.53 | 81.47 |
|        grass        | 68.96 | 84.73 |
|       cabinet       | 63.48 | 74.87 |
|       sidewalk      | 68.95 | 81.23 |
|        person       | 82.31 |  92.1 |
|        earth        | 39.27 | 50.68 |
|         door        | 55.04 | 71.08 |
|        table        | 64.58 | 80.21 |
|       mountain      | 62.98 | 78.36 |
|        plant        | 54.31 | 64.92 |
|       curtain       |  76.0 | 86.31 |
|        chair        | 64.12 | 77.53 |
|         car         | 85.29 | 92.69 |
|        water        | 60.18 | 73.61 |
|       painting      | 74.64 | 87.92 |
|         sofa        |  72.9 | 84.04 |
|        shelf        |  45.7 | 67.38 |
|        house        | 46.16 | 58.18 |
|         sea         | 61.59 | 78.41 |
|        mirror       | 69.99 | 77.73 |
|         rug         | 63.99 | 72.27 |
|        field        | 35.95 | 53.54 |
|       armchair      | 53.86 | 71.96 |
|         seat        | 67.14 | 83.02 |
|        fence        | 47.37 | 63.97 |
|         desk        | 55.06 | 69.95 |
|         rock        |  56.1 | 78.97 |
|       wardrobe      | 44.12 |  66.2 |
|         lamp        | 67.49 |  80.0 |
|       bathtub       |  76.9 | 88.13 |
|       railing       | 43.04 | 61.28 |
|       cushion       | 63.24 | 77.37 |
|         base        | 19.78 | 25.82 |
|         box         |  30.2 | 38.06 |
|        column       | 55.59 | 63.66 |
|      signboard      | 39.52 | 53.53 |
|   chest of drawers  | 39.04 | 57.95 |
|       counter       | 30.99 | 47.61 |
|         sand        | 45.64 | 69.78 |
|         sink        | 78.27 | 86.11 |
|      skyscraper     | 47.17 | 59.61 |
|      fireplace      | 76.14 | 89.14 |
|     refrigerator    | 81.88 | 86.47 |
|      grandstand     | 47.67 | 83.54 |
|         path        | 21.37 | 31.72 |
|        stairs       | 34.76 | 41.74 |
|        runway       | 72.99 | 94.42 |
|         case        | 46.39 | 58.86 |
|      pool table     | 92.01 |  96.0 |
|        pillow       | 61.58 | 71.91 |
|     screen door     | 58.02 | 59.22 |
|       stairway      | 32.88 |  42.2 |
|        river        | 12.82 | 27.44 |
|        bridge       | 66.98 | 76.01 |
|       bookcase      | 43.71 | 65.15 |
|        blind        | 40.33 |  43.5 |
|     coffee table    | 66.13 | 81.46 |
|        toilet       | 87.71 | 91.94 |
|        flower       | 42.98 | 57.35 |
|         book        | 47.26 | 65.33 |
|         hill        | 15.95 | 22.79 |
|        bench        | 63.73 | 77.46 |
|      countertop     |  62.8 | 78.29 |
|        stove        | 80.87 | 84.62 |
|         palm        | 48.23 | 73.15 |
|    kitchen island   |  50.0 | 73.68 |
|       computer      | 77.33 | 88.31 |
|     swivel chair    | 45.01 | 57.61 |
|         boat        | 65.04 | 85.89 |
|         bar         | 35.68 | 44.96 |
|    arcade machine   | 65.21 |  68.8 |
|        hovel        | 33.68 | 36.71 |
|         bus         | 86.64 | 95.38 |
|        towel        | 65.66 | 78.72 |
|        light        | 52.47 | 63.44 |
|        truck        | 49.06 | 66.38 |
|        tower        | 25.95 | 40.53 |
|      chandelier     | 67.37 | 77.69 |
|        awning       | 29.83 | 39.25 |
|     streetlight     | 33.85 | 44.16 |
|        booth        |  44.7 | 59.52 |
| television receiver | 70.32 |  85.8 |
|       airplane      | 67.72 | 75.03 |
|      dirt track     |  5.37 | 30.43 |
|       apparel       |  32.1 | 45.21 |
|         pole        | 28.05 |  41.6 |
|         land        |  2.57 |  3.84 |
|      bannister      | 14.95 | 19.92 |
|      escalator      | 24.49 | 26.09 |
|       ottoman       | 55.37 | 72.07 |
|        bottle       | 26.58 | 34.18 |
|        buffet       | 56.99 | 66.38 |
|        poster       | 32.71 | 48.41 |
|        stage        | 11.22 | 14.72 |
|         van         | 45.99 | 61.07 |
|         ship        | 23.26 |  25.2 |
|       fountain      | 21.85 | 22.15 |
|    conveyer belt    | 78.04 | 91.63 |
|        canopy       | 39.04 | 46.74 |
|        washer       | 68.36 |  71.8 |
|      plaything      | 31.27 | 39.77 |
|    swimming pool    | 66.44 | 68.36 |
|        stool        | 45.78 | 64.96 |
|        barrel       | 20.94 | 78.62 |
|        basket       | 34.64 | 44.41 |
|      waterfall      | 71.68 |  88.7 |
|         tent        | 77.01 | 97.37 |
|         bag         | 24.19 | 32.13 |
|       minibike      |  74.2 |  83.7 |
|        cradle       |  86.4 | 95.48 |
|         oven        | 51.09 |  62.4 |
|         ball        | 51.61 | 64.66 |
|         food        | 54.65 |  60.4 |
|         step        |  9.33 | 12.29 |
|         tank        | 46.59 | 50.09 |
|      trade name     | 27.25 |  34.0 |
|      microwave      | 85.92 | 94.59 |
|         pot         | 51.72 | 62.62 |
|        animal       | 60.68 | 64.01 |
|       bicycle       | 59.47 | 75.15 |
|         lake        | 56.31 | 67.41 |
|      dishwasher     | 77.29 | 87.07 |
|        screen       |  63.1 | 81.75 |
|       blanket       | 28.59 | 34.71 |
|      sculpture      | 62.73 | 78.29 |
|         hood        | 65.08 | 71.36 |
|        sconce       | 46.23 | 55.71 |
|         vase        | 44.58 | 62.72 |
|    traffic light    | 41.25 |  60.7 |
|         tray        | 18.68 | 28.07 |
|        ashcan       | 42.02 | 55.39 |
|         fan         | 62.73 | 73.02 |
|         pier        | 48.12 |  53.6 |
|      crt screen     |  5.89 | 16.47 |
|        plate        | 58.73 | 75.74 |
|       monitor       |  7.52 |  8.5  |
|    bulletin board   | 52.85 | 59.98 |
|        shower       |  4.51 |  5.83 |
|       radiator      | 61.71 | 71.68 |
|        glass        | 18.87 | 21.37 |
|        clock        | 38.84 | 47.68 |
|         flag        | 44.86 | 51.54 |
+---------------------+-------+-------+
2024/01/11 07:17:41 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5240  coco/bbox_mAP_50: 0.7050  coco/bbox_mAP_75: 0.5720  coco/bbox_mAP_s: 0.3740  coco/bbox_mAP_m: 0.5700  coco/bbox_mAP_l: 0.6770  coco/segm_mAP: 0.3540  coco/segm_mAP_50: 0.6230  coco/segm_mAP_75: 0.3540  coco/segm_mAP_s: 0.2160  coco/segm_mAP_m: 0.3990  coco/segm_mAP_l: 0.5410  Bleu_1: 0.7689  Bleu_2: 0.6077  Bleu_3: 0.4667  Bleu_4: 0.3539  METEOR: 0.2807  ROUGE_L: 0.5686  CIDEr: 1.1591  SPICE: 0.2095  aAcc: 84.4300  mIoU: 52.2200  mAcc: 63.9700  visual-grounding/miou: 0.8339  visual-grounding/acc: 0.8909  data_time: 0.0267  time: 1.9222
2024/01/11 07:28:50 - mmengine - INFO - Iter(train) [500500/640000]  base_lr: 2.2544e-05 lr: 2.2544e-06  eta: 2 days, 6:22:01  time: 1.4058  data_time: 0.0181  memory: 34723  grad_norm: 3.4749  loss: 1.0907  caption_loss_cls: 1.9151  detection_loss_cls: 0.0246  detection_loss_reg: 0.3058  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0396  instance_segmentation_loss_cls: 0.0236  instance_segmentation_loss_reg: 0.3028  instance_segmentation_loss_poly: 0.8017
2024/01/11 07:40:42 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 07:40:42 - mmengine - INFO - Iter(train) [501000/640000]  base_lr: 2.2389e-05 lr: 2.2389e-06  eta: 2 days, 6:14:38  time: 1.4139  data_time: 0.0184  memory: 25632  grad_norm: 3.4361  loss: 1.0729  caption_loss_cls: 1.9100  detection_loss_cls: 0.0246  detection_loss_reg: 0.3056  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0379  instance_segmentation_loss_cls: 0.0236  instance_segmentation_loss_reg: 0.3025  instance_segmentation_loss_poly: 0.8009
2024/01/11 07:53:08 - mmengine - INFO - Iter(train) [501500/640000]  base_lr: 2.2234e-05 lr: 2.2234e-06  eta: 2 days, 6:21:15  time: 1.4269  data_time: 0.0188  memory: 25632  grad_norm: 3.4276  loss: 1.0789  caption_loss_cls: 1.9042  detection_loss_cls: 0.0247  detection_loss_reg: 0.3071  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0363  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3021  instance_segmentation_loss_poly: 0.7995
2024/01/11 08:04:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 08:04:29 - mmengine - INFO - Iter(train) [502000/640000]  base_lr: 2.2080e-05 lr: 2.2080e-06  eta: 2 days, 5:59:31  time: 1.4185  data_time: 0.0190  memory: 25632  grad_norm: 3.4078  loss: 1.0700  caption_loss_cls: 1.9005  detection_loss_cls: 0.0245  detection_loss_reg: 0.3060  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0335  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3019  instance_segmentation_loss_poly: 0.7981
2024/01/11 08:04:29 - mmengine - INFO - Saving checkpoint at 502000 iterations
2024/01/11 08:16:30 - mmengine - INFO - Iter(train) [502500/640000]  base_lr: 2.1927e-05 lr: 2.1927e-06  eta: 2 days, 5:53:23  time: 1.4175  data_time: 0.0204  memory: 25632  grad_norm: 3.3745  loss: 1.0622  caption_loss_cls: 1.8966  detection_loss_cls: 0.0244  detection_loss_reg: 0.3059  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0323  instance_segmentation_loss_cls: 0.0236  instance_segmentation_loss_reg: 0.3016  instance_segmentation_loss_poly: 0.7972
2024/01/11 08:28:19 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 08:28:19 - mmengine - INFO - Iter(train) [503000/640000]  base_lr: 2.1773e-05 lr: 2.1773e-06  eta: 2 days, 5:42:41  time: 1.4172  data_time: 0.0206  memory: 25632  grad_norm: 3.3869  loss: 1.0584  caption_loss_cls: 1.8945  detection_loss_cls: 0.0245  detection_loss_reg: 0.3066  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0280  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3032  instance_segmentation_loss_poly: 0.8000
2024/01/11 08:39:33 - mmengine - INFO - Iter(train) [503500/640000]  base_lr: 2.1621e-05 lr: 2.1621e-06  eta: 2 days, 5:21:16  time: 1.4081  data_time: 0.0208  memory: 25632  grad_norm: 3.3174  loss: 1.0634  caption_loss_cls: 1.8934  detection_loss_cls: 0.0246  detection_loss_reg: 0.3086  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0273  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3028  instance_segmentation_loss_poly: 0.8000
2024/01/11 08:51:16 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 08:51:16 - mmengine - INFO - Iter(train) [504000/640000]  base_lr: 2.1469e-05 lr: 2.1469e-06  eta: 2 days, 5:09:04  time: 1.4033  data_time: 0.0211  memory: 25632  grad_norm: 3.3405  loss: 1.0800  caption_loss_cls: 1.8996  detection_loss_cls: 0.0246  detection_loss_reg: 0.3092  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 2.0277  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3044  instance_segmentation_loss_poly: 0.8024
2024/01/11 08:51:16 - mmengine - INFO - Saving checkpoint at 504000 iterations
2024/01/11 09:03:16 - mmengine - INFO - Iter(train) [504500/640000]  base_lr: 2.1317e-05 lr: 2.1317e-06  eta: 2 days, 5:01:41  time: 1.4154  data_time: 0.0277  memory: 25632  grad_norm: 3.3494  loss: 1.0855  caption_loss_cls: 1.8961  detection_loss_cls: 0.0245  detection_loss_reg: 0.3093  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 2.0212  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3057  instance_segmentation_loss_poly: 0.8052
2024/01/11 09:14:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 09:14:53 - mmengine - INFO - Iter(train) [505000/640000]  base_lr: 2.1166e-05 lr: 2.1166e-06  eta: 2 days, 4:47:53  time: 1.4118  data_time: 0.0277  memory: 25632  grad_norm: 3.3817  loss: 1.0972  caption_loss_cls: 1.8973  detection_loss_cls: 0.0246  detection_loss_reg: 0.3088  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 2.0168  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3058  instance_segmentation_loss_poly: 0.8068
2024/01/11 09:26:32 - mmengine - INFO - Iter(train) [505500/640000]  base_lr: 2.1015e-05 lr: 2.1015e-06  eta: 2 days, 4:35:00  time: 1.4000  data_time: 0.0274  memory: 25632  grad_norm: 3.3840  loss: 1.0980  caption_loss_cls: 1.8991  detection_loss_cls: 0.0247  detection_loss_reg: 0.3125  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 2.0147  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3059  instance_segmentation_loss_poly: 0.8068
2024/01/11 09:38:13 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 09:38:13 - mmengine - INFO - Iter(train) [506000/640000]  base_lr: 2.0865e-05 lr: 2.0865e-06  eta: 2 days, 4:22:37  time: 1.4051  data_time: 0.0275  memory: 25632  grad_norm: 3.4155  loss: 1.1085  caption_loss_cls: 1.9043  detection_loss_cls: 0.0246  detection_loss_reg: 0.3110  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 2.0150  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3056  instance_segmentation_loss_poly: 0.8054
2024/01/11 09:38:13 - mmengine - INFO - Saving checkpoint at 506000 iterations
2024/01/11 09:50:29 - mmengine - INFO - Iter(train) [506500/640000]  base_lr: 2.0715e-05 lr: 2.0715e-06  eta: 2 days, 4:17:32  time: 1.4088  data_time: 0.0271  memory: 25632  grad_norm: 3.3642  loss: 1.0973  caption_loss_cls: 1.9067  detection_loss_cls: 0.0247  detection_loss_reg: 0.3120  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 2.0122  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3064  instance_segmentation_loss_poly: 0.8059
2024/01/11 10:02:02 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 10:02:02 - mmengine - INFO - Iter(train) [507000/640000]  base_lr: 2.0565e-05 lr: 2.0565e-06  eta: 2 days, 4:03:22  time: 1.4049  data_time: 0.0270  memory: 25632  grad_norm: 3.3341  loss: 1.0965  caption_loss_cls: 1.9124  detection_loss_cls: 0.0246  detection_loss_reg: 0.3123  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 2.0083  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3070  instance_segmentation_loss_poly: 0.8064
2024/01/11 10:13:16 - mmengine - INFO - Iter(train) [507500/640000]  base_lr: 2.0417e-05 lr: 2.0417e-06  eta: 2 days, 3:45:32  time: 1.4047  data_time: 0.0269  memory: 25632  grad_norm: 3.3663  loss: 1.0934  caption_loss_cls: 1.9130  detection_loss_cls: 0.0246  detection_loss_reg: 0.3119  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 2.0076  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3064  instance_segmentation_loss_poly: 0.8036
2024/01/11 10:25:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 10:25:03 - mmengine - INFO - Iter(train) [508000/640000]  base_lr: 2.0268e-05 lr: 2.0268e-06  eta: 2 days, 3:34:30  time: 1.4059  data_time: 0.0269  memory: 25632  grad_norm: 3.3742  loss: 1.0840  caption_loss_cls: 1.9144  detection_loss_cls: 0.0247  detection_loss_reg: 0.3127  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 2.0046  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3070  instance_segmentation_loss_poly: 0.8044
2024/01/11 10:25:03 - mmengine - INFO - Saving checkpoint at 508000 iterations
2024/01/11 10:36:34 - mmengine - INFO - Iter(train) [508500/640000]  base_lr: 2.0120e-05 lr: 2.0120e-06  eta: 2 days, 3:20:34  time: 1.3986  data_time: 0.0267  memory: 25632  grad_norm: 3.3776  loss: 1.0841  caption_loss_cls: 1.9170  detection_loss_cls: 0.0245  detection_loss_reg: 0.3122  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 2.0047  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3070  instance_segmentation_loss_poly: 0.8054
2024/01/11 10:48:23 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 10:48:23 - mmengine - INFO - Iter(train) [509000/640000]  base_lr: 1.9973e-05 lr: 1.9973e-06  eta: 2 days, 3:09:45  time: 1.4016  data_time: 0.0267  memory: 25632  grad_norm: 3.3293  loss: 1.0646  caption_loss_cls: 1.9131  detection_loss_cls: 0.0243  detection_loss_reg: 0.3098  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9984  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3057  instance_segmentation_loss_poly: 0.8033
2024/01/11 10:59:49 - mmengine - INFO - Iter(train) [509500/640000]  base_lr: 1.9826e-05 lr: 1.9826e-06  eta: 2 days, 2:55:12  time: 1.3982  data_time: 0.0267  memory: 25632  grad_norm: 3.3488  loss: 1.0631  caption_loss_cls: 1.9148  detection_loss_cls: 0.0244  detection_loss_reg: 0.3106  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9994  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3067  instance_segmentation_loss_poly: 0.8052
2024/01/11 11:11:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 11:11:11 - mmengine - INFO - Iter(train) [510000/640000]  base_lr: 1.9680e-05 lr: 1.9680e-06  eta: 2 days, 2:40:22  time: 1.3935  data_time: 0.0266  memory: 25632  grad_norm: 3.3370  loss: 1.0650  caption_loss_cls: 1.9166  detection_loss_cls: 0.0243  detection_loss_reg: 0.3090  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9950  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3080  instance_segmentation_loss_poly: 0.8088
2024/01/11 11:11:11 - mmengine - INFO - Saving checkpoint at 510000 iterations
2024/01/11 11:23:21 - mmengine - INFO - Iter(train) [510500/640000]  base_lr: 1.9534e-05 lr: 1.9534e-06  eta: 2 days, 2:32:48  time: 1.3921  data_time: 0.0267  memory: 25632  grad_norm: 3.3663  loss: 1.0724  caption_loss_cls: 1.9123  detection_loss_cls: 0.0242  detection_loss_reg: 0.3088  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9945  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3087  instance_segmentation_loss_poly: 0.8106
2024/01/11 11:35:13 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 11:35:13 - mmengine - INFO - Iter(train) [511000/640000]  base_lr: 1.9388e-05 lr: 1.9388e-06  eta: 2 days, 2:22:20  time: 1.3967  data_time: 0.0268  memory: 25632  grad_norm: 3.4039  loss: 1.0755  caption_loss_cls: 1.9135  detection_loss_cls: 0.0242  detection_loss_reg: 0.3091  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9930  instance_segmentation_loss_cls: 0.0244  instance_segmentation_loss_reg: 0.3119  instance_segmentation_loss_poly: 0.8183
2024/01/11 11:46:39 - mmengine - INFO - Iter(train) [511500/640000]  base_lr: 1.9243e-05 lr: 1.9243e-06  eta: 2 days, 2:08:13  time: 1.3998  data_time: 0.0268  memory: 25632  grad_norm: 3.3593  loss: 1.0666  caption_loss_cls: 1.9096  detection_loss_cls: 0.0242  detection_loss_reg: 0.3075  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9910  instance_segmentation_loss_cls: 0.0244  instance_segmentation_loss_reg: 0.3130  instance_segmentation_loss_poly: 0.8207
2024/01/11 11:58:32 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 11:58:32 - mmengine - INFO - Iter(train) [512000/640000]  base_lr: 1.9099e-05 lr: 1.9099e-06  eta: 2 days, 1:57:53  time: 1.4013  data_time: 0.0268  memory: 25632  grad_norm: 3.3288  loss: 1.0645  caption_loss_cls: 1.9077  detection_loss_cls: 0.0241  detection_loss_reg: 0.3066  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9910  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3137  instance_segmentation_loss_poly: 0.8228
2024/01/11 11:58:32 - mmengine - INFO - Saving checkpoint at 512000 iterations
2024/01/11 12:10:45 - mmengine - INFO - Iter(train) [512500/640000]  base_lr: 1.8955e-05 lr: 1.8955e-06  eta: 2 days, 1:50:08  time: 1.4120  data_time: 0.0267  memory: 25632  grad_norm: 3.3165  loss: 1.0588  caption_loss_cls: 1.9066  detection_loss_cls: 0.0242  detection_loss_reg: 0.3069  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9880  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3148  instance_segmentation_loss_poly: 0.8241
2024/01/11 12:22:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 12:22:11 - mmengine - INFO - Iter(train) [513000/640000]  base_lr: 1.8811e-05 lr: 1.8811e-06  eta: 2 days, 1:36:06  time: 1.4062  data_time: 0.0266  memory: 25632  grad_norm: 3.3346  loss: 1.0634  caption_loss_cls: 1.9086  detection_loss_cls: 0.0241  detection_loss_reg: 0.3052  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9875  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3147  instance_segmentation_loss_poly: 0.8241
2024/01/11 12:33:35 - mmengine - INFO - Iter(train) [513500/640000]  base_lr: 1.8668e-05 lr: 1.8668e-06  eta: 2 days, 1:22:03  time: 1.4057  data_time: 0.0265  memory: 25632  grad_norm: 3.3246  loss: 1.0616  caption_loss_cls: 1.9059  detection_loss_cls: 0.0241  detection_loss_reg: 0.3047  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9872  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3141  instance_segmentation_loss_poly: 0.8238
2024/01/11 12:45:14 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 12:45:14 - mmengine - INFO - Iter(train) [514000/640000]  base_lr: 1.8525e-05 lr: 1.8525e-06  eta: 2 days, 1:09:51  time: 1.4097  data_time: 0.0263  memory: 25632  grad_norm: 3.2851  loss: 1.0445  caption_loss_cls: 1.9046  detection_loss_cls: 0.0241  detection_loss_reg: 0.3039  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9848  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3139  instance_segmentation_loss_poly: 0.8231
2024/01/11 12:45:14 - mmengine - INFO - Saving checkpoint at 514000 iterations
2024/01/11 12:57:16 - mmengine - INFO - Iter(train) [514500/640000]  base_lr: 1.8383e-05 lr: 1.8383e-06  eta: 2 days, 1:00:19  time: 1.4078  data_time: 0.0258  memory: 25632  grad_norm: 3.3442  loss: 1.0429  caption_loss_cls: 1.9010  detection_loss_cls: 0.0243  detection_loss_reg: 0.3049  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9818  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3141  instance_segmentation_loss_poly: 0.8242
2024/01/11 13:08:27 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 13:08:27 - mmengine - INFO - Iter(train) [515000/640000]  base_lr: 1.8242e-05 lr: 1.8242e-06  eta: 2 days, 0:45:05  time: 1.3977  data_time: 0.0257  memory: 25632  grad_norm: 3.3537  loss: 1.0434  caption_loss_cls: 1.8990  detection_loss_cls: 0.0241  detection_loss_reg: 0.3044  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9742  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3155  instance_segmentation_loss_poly: 0.8275
2024/01/11 13:20:32 - mmengine - INFO - Iter(train) [515500/640000]  base_lr: 1.8101e-05 lr: 1.8101e-06  eta: 2 days, 0:35:46  time: 1.4074  data_time: 0.0259  memory: 25632  grad_norm: 3.3313  loss: 1.0501  caption_loss_cls: 1.9009  detection_loss_cls: 0.0241  detection_loss_reg: 0.3040  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9742  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3157  instance_segmentation_loss_poly: 0.8264
2024/01/11 13:31:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 13:31:53 - mmengine - INFO - Iter(train) [516000/640000]  base_lr: 1.7960e-05 lr: 1.7960e-06  eta: 2 days, 0:21:49  time: 1.3995  data_time: 0.0259  memory: 25632  grad_norm: 3.3985  loss: 1.0648  caption_loss_cls: 1.8967  detection_loss_cls: 0.0240  detection_loss_reg: 0.3032  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9750  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3174  instance_segmentation_loss_poly: 0.8299
2024/01/11 13:31:53 - mmengine - INFO - Saving checkpoint at 516000 iterations
2024/01/11 13:44:01 - mmengine - INFO - Iter(train) [516500/640000]  base_lr: 1.7820e-05 lr: 1.7820e-06  eta: 2 days, 0:12:39  time: 1.3980  data_time: 0.0258  memory: 25632  grad_norm: 3.3666  loss: 1.0698  caption_loss_cls: 1.8962  detection_loss_cls: 0.0240  detection_loss_reg: 0.3029  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9719  instance_segmentation_loss_cls: 0.0244  instance_segmentation_loss_reg: 0.3181  instance_segmentation_loss_poly: 0.8312
2024/01/11 13:55:13 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 13:55:13 - mmengine - INFO - Iter(train) [517000/640000]  base_lr: 1.7680e-05 lr: 1.7680e-06  eta: 1 day, 23:57:54  time: 1.3946  data_time: 0.0259  memory: 25632  grad_norm: 3.4318  loss: 1.0750  caption_loss_cls: 1.8968  detection_loss_cls: 0.0240  detection_loss_reg: 0.3014  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9691  instance_segmentation_loss_cls: 0.0245  instance_segmentation_loss_reg: 0.3186  instance_segmentation_loss_poly: 0.8320
2024/01/11 14:06:57 - mmengine - INFO - Iter(train) [517500/640000]  base_lr: 1.7541e-05 lr: 1.7541e-06  eta: 1 day, 23:46:22  time: 1.3996  data_time: 0.0259  memory: 25632  grad_norm: 3.4512  loss: 1.0736  caption_loss_cls: 1.8980  detection_loss_cls: 0.0238  detection_loss_reg: 0.3018  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9690  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3177  instance_segmentation_loss_poly: 0.8293
2024/01/11 14:18:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 14:18:53 - mmengine - INFO - Iter(train) [518000/640000]  base_lr: 1.7403e-05 lr: 1.7403e-06  eta: 1 day, 23:35:57  time: 1.4040  data_time: 0.0260  memory: 25632  grad_norm: 3.4165  loss: 1.0710  caption_loss_cls: 1.8959  detection_loss_cls: 0.0237  detection_loss_reg: 0.3019  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9712  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3170  instance_segmentation_loss_poly: 0.8284
2024/01/11 14:18:53 - mmengine - INFO - Saving checkpoint at 518000 iterations
2024/01/11 14:31:00 - mmengine - INFO - Iter(train) [518500/640000]  base_lr: 1.7265e-05 lr: 1.7265e-06  eta: 1 day, 23:26:24  time: 1.4052  data_time: 0.0261  memory: 25632  grad_norm: 3.3512  loss: 1.0630  caption_loss_cls: 1.8891  detection_loss_cls: 0.0238  detection_loss_reg: 0.3031  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9671  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3167  instance_segmentation_loss_poly: 0.8276
2024/01/11 14:42:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 14:42:11 - mmengine - INFO - Iter(train) [519000/640000]  base_lr: 1.7127e-05 lr: 1.7127e-06  eta: 1 day, 23:11:51  time: 1.4051  data_time: 0.0260  memory: 25632  grad_norm: 3.3858  loss: 1.0612  caption_loss_cls: 1.8858  detection_loss_cls: 0.0238  detection_loss_reg: 0.3023  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9688  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3142  instance_segmentation_loss_poly: 0.8229
2024/01/11 14:53:25 - mmengine - INFO - Iter(train) [519500/640000]  base_lr: 1.6990e-05 lr: 1.6990e-06  eta: 1 day, 22:57:44  time: 1.3925  data_time: 0.0258  memory: 25632  grad_norm: 3.4635  loss: 1.0598  caption_loss_cls: 1.8804  detection_loss_cls: 0.0240  detection_loss_reg: 0.3047  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9674  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3141  instance_segmentation_loss_poly: 0.8221
2024/01/11 15:04:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 15:04:53 - mmengine - INFO - Iter(train) [520000/640000]  base_lr: 1.6853e-05 lr: 1.6853e-06  eta: 1 day, 22:44:53  time: 1.3941  data_time: 0.0259  memory: 25632  grad_norm: 3.4681  loss: 1.0589  caption_loss_cls: 1.8828  detection_loss_cls: 0.0240  detection_loss_reg: 0.3057  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9618  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3164  instance_segmentation_loss_poly: 0.8262
2024/01/11 15:04:53 - mmengine - INFO - Saving checkpoint at 520000 iterations
2024/01/11 15:16:47 - mmengine - INFO - Evaluating bbox...
2024/01/11 15:17:45 - mmengine - INFO - bbox_mAP_copypaste: 0.525 0.704 0.575 0.372 0.575 0.678
2024/01/11 15:17:45 - mmengine - INFO - Evaluating segm...
2024/01/11 15:18:55 - mmengine - INFO - segm_mAP_copypaste: 0.352 0.619 0.348 0.207 0.399 0.540
2024/01/11 15:21:03 - mmengine - INFO - Evaluating bbox...
2024/01/11 15:22:01 - mmengine - INFO - bbox_mAP_copypaste: 0.523 0.704 0.574 0.369 0.574 0.678
2024/01/11 15:28:12 - mmengine - INFO - per class results:
2024/01/11 15:28:12 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.31 |  89.5 |
|       building      |  82.8 | 92.04 |
|         sky         | 93.55 |  98.0 |
|        floor        | 82.69 | 90.25 |
|         tree        | 74.48 | 86.79 |
|       ceiling       | 86.22 | 94.71 |
|         road        | 85.12 | 91.14 |
|         bed         | 90.62 | 95.67 |
|      windowpane     | 63.54 | 79.98 |
|        grass        | 68.65 | 85.13 |
|       cabinet       | 63.38 |  75.0 |
|       sidewalk      | 68.61 | 80.41 |
|        person       | 81.95 | 91.87 |
|        earth        | 39.53 | 51.14 |
|         door        |  56.1 | 70.81 |
|        table        | 64.53 | 80.41 |
|       mountain      | 60.86 | 77.28 |
|        plant        | 54.55 | 64.68 |
|       curtain       | 76.31 | 88.01 |
|        chair        | 63.31 |  77.9 |
|         car         | 85.41 | 91.97 |
|        water        | 60.14 | 72.98 |
|       painting      | 73.98 | 87.93 |
|         sofa        | 72.48 | 83.43 |
|        shelf        | 45.71 | 66.52 |
|        house        | 46.07 | 63.79 |
|         sea         | 59.79 | 74.67 |
|        mirror       | 69.54 | 78.26 |
|         rug         | 67.93 |  80.2 |
|        field        | 36.31 | 52.24 |
|       armchair      | 52.51 | 71.34 |
|         seat        | 68.07 | 82.34 |
|        fence        |  47.4 | 65.54 |
|         desk        | 52.98 | 70.81 |
|         rock        | 49.11 | 69.51 |
|       wardrobe      | 45.42 | 65.58 |
|         lamp        | 66.83 | 79.08 |
|       bathtub       | 78.08 | 89.36 |
|       railing       | 42.01 | 58.05 |
|       cushion       | 65.24 | 80.73 |
|         base        | 22.63 | 29.95 |
|         box         | 30.24 | 39.72 |
|        column       | 56.58 | 65.93 |
|      signboard      | 39.36 | 53.73 |
|   chest of drawers  | 36.51 | 54.39 |
|       counter       |  32.1 | 46.07 |
|         sand        | 44.71 | 68.71 |
|         sink        | 78.03 | 86.38 |
|      skyscraper     |  46.6 | 58.95 |
|      fireplace      | 76.71 |  88.7 |
|     refrigerator    |  78.9 | 84.38 |
|      grandstand     | 48.82 | 82.15 |
|         path        | 21.49 | 30.87 |
|        stairs       | 33.56 | 41.48 |
|        runway       | 74.03 | 93.73 |
|         case        | 48.86 | 64.87 |
|      pool table     | 92.23 | 95.68 |
|        pillow       | 61.98 | 71.16 |
|     screen door     | 75.87 |  79.8 |
|       stairway      | 34.11 | 44.24 |
|        river        | 14.68 | 31.92 |
|        bridge       |  69.4 | 79.71 |
|       bookcase      | 41.25 |  66.2 |
|        blind        | 39.25 | 45.27 |
|     coffee table    | 66.33 | 80.91 |
|        toilet       | 87.98 | 92.18 |
|        flower       | 42.56 | 55.05 |
|         book        | 48.91 | 68.11 |
|         hill        | 16.75 | 24.24 |
|        bench        | 62.58 | 74.32 |
|      countertop     | 62.62 | 75.72 |
|        stove        | 80.91 |  84.5 |
|         palm        | 49.46 | 71.97 |
|    kitchen island   | 47.97 | 69.36 |
|       computer      | 77.61 | 89.38 |
|     swivel chair    | 45.64 | 60.29 |
|         boat        | 66.66 | 88.12 |
|         bar         | 35.28 | 43.05 |
|    arcade machine   | 64.06 | 66.67 |
|        hovel        | 24.06 | 26.09 |
|         bus         | 87.05 | 94.71 |
|        towel        | 66.22 | 79.77 |
|        light        | 53.92 | 64.97 |
|        truck        |  48.7 | 67.39 |
|        tower        | 30.15 | 48.01 |
|      chandelier     | 66.71 | 79.85 |
|        awning       |  31.8 | 38.87 |
|     streetlight     | 32.95 | 45.34 |
|        booth        | 40.88 | 57.19 |
| television receiver | 74.03 |  87.6 |
|       airplane      |  67.0 | 74.04 |
|      dirt track     |  8.42 | 25.61 |
|       apparel       | 32.39 | 46.73 |
|         pole        | 26.88 | 39.05 |
|         land        |  3.34 |  4.86 |
|      bannister      | 14.92 | 20.32 |
|      escalator      | 26.19 | 28.64 |
|       ottoman       | 57.37 | 72.37 |
|        bottle       | 27.38 |  35.0 |
|        buffet       | 56.88 | 65.68 |
|        poster       | 31.32 |  47.4 |
|        stage        | 11.68 | 16.97 |
|         van         | 46.84 | 62.04 |
|         ship        | 24.83 |  26.2 |
|       fountain      | 21.51 | 21.78 |
|    conveyer belt    | 66.17 | 91.61 |
|        canopy       | 38.96 |  46.3 |
|        washer       | 67.82 | 72.28 |
|      plaything      | 32.17 | 40.99 |
|    swimming pool    | 65.83 | 71.96 |
|        stool        | 43.27 | 61.38 |
|        barrel       | 31.67 | 68.42 |
|        basket       | 34.93 | 47.16 |
|      waterfall      | 70.24 | 90.08 |
|         tent        | 72.08 | 97.11 |
|         bag         | 24.57 | 33.36 |
|       minibike      | 73.13 | 84.36 |
|        cradle       |  84.5 | 96.46 |
|         oven        | 53.67 |  65.5 |
|         ball        | 51.32 | 64.75 |
|         food        | 53.14 | 58.21 |
|         step        |  6.32 |  7.77 |
|         tank        | 48.52 | 51.99 |
|      trade name     | 31.23 | 41.17 |
|      microwave      | 86.63 | 94.61 |
|         pot         | 49.58 | 58.77 |
|        animal       | 63.99 | 68.25 |
|       bicycle       | 59.08 | 74.53 |
|         lake        | 59.89 | 67.96 |
|      dishwasher     |  72.2 | 86.77 |
|        screen       | 62.06 | 78.09 |
|       blanket       | 32.27 | 39.35 |
|      sculpture      | 66.41 | 80.47 |
|         hood        | 65.44 | 72.29 |
|        sconce       | 47.83 | 59.69 |
|         vase        |  45.0 | 62.16 |
|    traffic light    | 41.58 | 62.99 |
|         tray        | 18.55 | 25.98 |
|        ashcan       | 47.49 | 62.03 |
|         fan         | 64.37 | 76.67 |
|         pier        | 45.04 | 51.41 |
|      crt screen     |  6.6  | 20.86 |
|        plate        | 58.34 | 79.12 |
|       monitor       |  4.59 |  5.13 |
|    bulletin board   | 56.91 | 67.58 |
|        shower       |  4.49 |  6.16 |
|       radiator      |  62.1 | 71.81 |
|        glass        | 18.25 | 20.07 |
|        clock        | 40.09 | 48.73 |
|         flag        |  45.3 | 52.48 |
+---------------------+-------+-------+
2024/01/11 15:28:24 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5230  coco/bbox_mAP_50: 0.7040  coco/bbox_mAP_75: 0.5740  coco/bbox_mAP_s: 0.3690  coco/bbox_mAP_m: 0.5740  coco/bbox_mAP_l: 0.6780  coco/segm_mAP: 0.3520  coco/segm_mAP_50: 0.6190  coco/segm_mAP_75: 0.3480  coco/segm_mAP_s: 0.2070  coco/segm_mAP_m: 0.3990  coco/segm_mAP_l: 0.5400  Bleu_1: 0.7680  Bleu_2: 0.6064  Bleu_3: 0.4651  Bleu_4: 0.3533  METEOR: 0.2813  ROUGE_L: 0.5686  CIDEr: 1.1577  SPICE: 0.2091  aAcc: 84.4200  mIoU: 52.4100  mAcc: 64.3600  visual-grounding/miou: 0.8289  visual-grounding/acc: 0.8852  data_time: 0.0113  time: 1.8968
2024/01/11 15:39:59 - mmengine - INFO - Iter(train) [520500/640000]  base_lr: 1.6717e-05 lr: 1.6717e-06  eta: 1 day, 22:32:50  time: 1.3865  data_time: 0.0196  memory: 34721  grad_norm: 3.4951  loss: 1.0486  caption_loss_cls: 1.8791  detection_loss_cls: 0.0240  detection_loss_reg: 0.3074  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9621  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3164  instance_segmentation_loss_poly: 0.8268
2024/01/11 15:52:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 15:52:11 - mmengine - INFO - Iter(train) [521000/640000]  base_lr: 1.6582e-05 lr: 1.6582e-06  eta: 1 day, 22:23:32  time: 1.4014  data_time: 0.0198  memory: 25630  grad_norm: 3.6162  loss: 1.0458  caption_loss_cls: 1.8837  detection_loss_cls: 0.0240  detection_loss_reg: 0.3062  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9585  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3164  instance_segmentation_loss_poly: 0.8259
2024/01/11 16:03:21 - mmengine - INFO - Iter(train) [521500/640000]  base_lr: 1.6446e-05 lr: 1.6446e-06  eta: 1 day, 22:09:20  time: 1.3928  data_time: 0.0198  memory: 25630  grad_norm: 3.6450  loss: 1.0509  caption_loss_cls: 1.8832  detection_loss_cls: 0.0238  detection_loss_reg: 0.3037  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 1.9504  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3181  instance_segmentation_loss_poly: 0.8307
2024/01/11 16:14:19 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 16:14:19 - mmengine - INFO - Iter(train) [522000/640000]  base_lr: 1.6312e-05 lr: 1.6312e-06  eta: 1 day, 21:54:25  time: 1.3785  data_time: 0.0197  memory: 25630  grad_norm: 3.7599  loss: 1.0667  caption_loss_cls: 1.8822  detection_loss_cls: 0.0239  detection_loss_reg: 0.3034  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 1.9498  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3186  instance_segmentation_loss_poly: 0.8323
2024/01/11 16:14:19 - mmengine - INFO - Saving checkpoint at 522000 iterations
2024/01/11 16:26:03 - mmengine - INFO - Iter(train) [522500/640000]  base_lr: 1.6178e-05 lr: 1.6178e-06  eta: 1 day, 21:42:59  time: 1.3728  data_time: 0.0196  memory: 25630  grad_norm: 3.8213  loss: 1.0722  caption_loss_cls: 1.8814  detection_loss_cls: 0.0239  detection_loss_reg: 0.3035  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9483  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3180  instance_segmentation_loss_poly: 0.8301
2024/01/11 16:37:48 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 16:37:48 - mmengine - INFO - Iter(train) [523000/640000]  base_lr: 1.6044e-05 lr: 1.6044e-06  eta: 1 day, 21:31:36  time: 1.3812  data_time: 0.0198  memory: 25630  grad_norm: 3.7983  loss: 1.0730  caption_loss_cls: 1.8839  detection_loss_cls: 0.0239  detection_loss_reg: 0.3031  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9502  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3177  instance_segmentation_loss_poly: 0.8302
2024/01/11 16:48:58 - mmengine - INFO - Iter(train) [523500/640000]  base_lr: 1.5911e-05 lr: 1.5911e-06  eta: 1 day, 21:17:43  time: 1.3801  data_time: 0.0199  memory: 25630  grad_norm: 3.8277  loss: 1.0908  caption_loss_cls: 1.8797  detection_loss_cls: 0.0239  detection_loss_reg: 0.3036  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9492  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3172  instance_segmentation_loss_poly: 0.8298
2024/01/11 17:00:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 17:00:45 - mmengine - INFO - Iter(train) [524000/640000]  base_lr: 1.5779e-05 lr: 1.5779e-06  eta: 1 day, 21:06:32  time: 1.3849  data_time: 0.0199  memory: 25630  grad_norm: 3.8344  loss: 1.0847  caption_loss_cls: 1.8839  detection_loss_cls: 0.0238  detection_loss_reg: 0.3017  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9479  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3175  instance_segmentation_loss_poly: 0.8292
2024/01/11 17:00:45 - mmengine - INFO - Saving checkpoint at 524000 iterations
2024/01/11 17:13:14 - mmengine - INFO - Iter(train) [524500/640000]  base_lr: 1.5646e-05 lr: 1.5646e-06  eta: 1 day, 20:58:10  time: 1.3979  data_time: 0.0263  memory: 25630  grad_norm: 3.8125  loss: 1.0865  caption_loss_cls: 1.8838  detection_loss_cls: 0.0239  detection_loss_reg: 0.3020  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9487  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3168  instance_segmentation_loss_poly: 0.8285
2024/01/11 17:24:47 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 17:24:47 - mmengine - INFO - Iter(train) [525000/640000]  base_lr: 1.5515e-05 lr: 1.5515e-06  eta: 1 day, 20:45:53  time: 1.3880  data_time: 0.0262  memory: 25630  grad_norm: 3.6913  loss: 1.0908  caption_loss_cls: 1.8781  detection_loss_cls: 0.0239  detection_loss_reg: 0.3031  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 1.9470  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3161  instance_segmentation_loss_poly: 0.8271
2024/01/11 17:36:28 - mmengine - INFO - Iter(train) [525500/640000]  base_lr: 1.5384e-05 lr: 1.5384e-06  eta: 1 day, 20:34:14  time: 1.3960  data_time: 0.0262  memory: 25630  grad_norm: 3.6634  loss: 1.0865  caption_loss_cls: 1.8752  detection_loss_cls: 0.0236  detection_loss_reg: 0.2996  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9439  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3166  instance_segmentation_loss_poly: 0.8285
2024/01/11 17:48:47 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 17:48:47 - mmengine - INFO - Iter(train) [526000/640000]  base_lr: 1.5253e-05 lr: 1.5253e-06  eta: 1 day, 20:24:55  time: 1.4159  data_time: 0.0266  memory: 25630  grad_norm: 3.5988  loss: 1.0845  caption_loss_cls: 1.8815  detection_loss_cls: 0.0236  detection_loss_reg: 0.2999  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9439  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3163  instance_segmentation_loss_poly: 0.8286
2024/01/11 17:48:47 - mmengine - INFO - Saving checkpoint at 526000 iterations
2024/01/11 18:00:26 - mmengine - INFO - Iter(train) [526500/640000]  base_lr: 1.5123e-05 lr: 1.5123e-06  eta: 1 day, 20:13:04  time: 1.4146  data_time: 0.0266  memory: 25630  grad_norm: 3.5944  loss: 1.0943  caption_loss_cls: 1.8772  detection_loss_cls: 0.0239  detection_loss_reg: 0.3031  semantic_segmentation_loss_cls: 0.0064  grounding_loss_reg: 1.9438  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3167  instance_segmentation_loss_poly: 0.8298
2024/01/11 18:12:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 18:12:12 - mmengine - INFO - Iter(train) [527000/640000]  base_lr: 1.4994e-05 lr: 1.4994e-06  eta: 1 day, 20:01:39  time: 1.4150  data_time: 0.0266  memory: 25630  grad_norm: 3.5716  loss: 1.0954  caption_loss_cls: 1.8797  detection_loss_cls: 0.0237  detection_loss_reg: 0.3014  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9445  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3181  instance_segmentation_loss_poly: 0.8323
2024/01/11 18:23:15 - mmengine - INFO - Iter(train) [527500/640000]  base_lr: 1.4865e-05 lr: 1.4865e-06  eta: 1 day, 19:47:39  time: 1.4133  data_time: 0.0265  memory: 25630  grad_norm: 3.5522  loss: 1.0834  caption_loss_cls: 1.8748  detection_loss_cls: 0.0236  detection_loss_reg: 0.3012  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9466  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3176  instance_segmentation_loss_poly: 0.8323
2024/01/11 18:35:27 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 18:35:27 - mmengine - INFO - Iter(train) [528000/640000]  base_lr: 1.4736e-05 lr: 1.4736e-06  eta: 1 day, 19:37:48  time: 1.4196  data_time: 0.0265  memory: 25630  grad_norm: 3.5367  loss: 1.0705  caption_loss_cls: 1.8731  detection_loss_cls: 0.0234  detection_loss_reg: 0.3003  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9466  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3185  instance_segmentation_loss_poly: 0.8356
2024/01/11 18:35:27 - mmengine - INFO - Saving checkpoint at 528000 iterations
2024/01/11 18:47:24 - mmengine - INFO - Iter(train) [528500/640000]  base_lr: 1.4608e-05 lr: 1.4608e-06  eta: 1 day, 19:26:58  time: 1.4115  data_time: 0.0264  memory: 25630  grad_norm: 3.5535  loss: 1.0742  caption_loss_cls: 1.8743  detection_loss_cls: 0.0234  detection_loss_reg: 0.3007  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9462  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3178  instance_segmentation_loss_poly: 0.8334
2024/01/11 18:58:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 18:58:56 - mmengine - INFO - Iter(train) [529000/640000]  base_lr: 1.4481e-05 lr: 1.4481e-06  eta: 1 day, 19:14:44  time: 1.4115  data_time: 0.0265  memory: 25630  grad_norm: 3.5186  loss: 1.0803  caption_loss_cls: 1.8720  detection_loss_cls: 0.0234  detection_loss_reg: 0.3009  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9480  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3177  instance_segmentation_loss_poly: 0.8320
2024/01/11 19:10:43 - mmengine - INFO - Iter(train) [529500/640000]  base_lr: 1.4354e-05 lr: 1.4354e-06  eta: 1 day, 19:03:18  time: 1.4126  data_time: 0.0264  memory: 25630  grad_norm: 3.4794  loss: 1.0763  caption_loss_cls: 1.8668  detection_loss_cls: 0.0235  detection_loss_reg: 0.3030  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9502  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3176  instance_segmentation_loss_poly: 0.8322
2024/01/11 19:22:04 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 19:22:04 - mmengine - INFO - Iter(train) [530000/640000]  base_lr: 1.4227e-05 lr: 1.4227e-06  eta: 1 day, 18:50:31  time: 1.3984  data_time: 0.0261  memory: 25630  grad_norm: 3.4846  loss: 1.0691  caption_loss_cls: 1.8673  detection_loss_cls: 0.0234  detection_loss_reg: 0.3030  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9510  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3167  instance_segmentation_loss_poly: 0.8309
2024/01/11 19:22:04 - mmengine - INFO - Saving checkpoint at 530000 iterations
2024/01/11 19:33:54 - mmengine - INFO - Iter(train) [530500/640000]  base_lr: 1.4101e-05 lr: 1.4101e-06  eta: 1 day, 18:39:16  time: 1.4011  data_time: 0.0261  memory: 25630  grad_norm: 3.4827  loss: 1.0694  caption_loss_cls: 1.8695  detection_loss_cls: 0.0235  detection_loss_reg: 0.3038  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9500  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3166  instance_segmentation_loss_poly: 0.8305
2024/01/11 19:45:24 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 19:45:24 - mmengine - INFO - Iter(train) [531000/640000]  base_lr: 1.3976e-05 lr: 1.3976e-06  eta: 1 day, 18:26:59  time: 1.3971  data_time: 0.0260  memory: 25630  grad_norm: 3.4633  loss: 1.0600  caption_loss_cls: 1.8746  detection_loss_cls: 0.0236  detection_loss_reg: 0.3039  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9514  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3140  instance_segmentation_loss_poly: 0.8254
2024/01/11 19:57:03 - mmengine - INFO - Iter(train) [531500/640000]  base_lr: 1.3851e-05 lr: 1.3851e-06  eta: 1 day, 18:15:09  time: 1.4060  data_time: 0.0261  memory: 25630  grad_norm: 3.4135  loss: 1.0542  caption_loss_cls: 1.8803  detection_loss_cls: 0.0236  detection_loss_reg: 0.3041  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9520  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3123  instance_segmentation_loss_poly: 0.8217
2024/01/11 20:08:40 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 20:08:40 - mmengine - INFO - Iter(train) [532000/640000]  base_lr: 1.3727e-05 lr: 1.3727e-06  eta: 1 day, 18:03:15  time: 1.3971  data_time: 0.0260  memory: 25630  grad_norm: 3.4120  loss: 1.0714  caption_loss_cls: 1.8838  detection_loss_cls: 0.0236  detection_loss_reg: 0.3052  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9521  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3119  instance_segmentation_loss_poly: 0.8204
2024/01/11 20:08:40 - mmengine - INFO - Saving checkpoint at 532000 iterations
2024/01/11 20:20:52 - mmengine - INFO - Iter(train) [532500/640000]  base_lr: 1.3603e-05 lr: 1.3603e-06  eta: 1 day, 17:53:05  time: 1.4011  data_time: 0.0261  memory: 25630  grad_norm: 3.4242  loss: 1.0747  caption_loss_cls: 1.8841  detection_loss_cls: 0.0235  detection_loss_reg: 0.3039  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9514  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3123  instance_segmentation_loss_poly: 0.8208
2024/01/11 20:32:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 20:32:56 - mmengine - INFO - Iter(train) [533000/640000]  base_lr: 1.3480e-05 lr: 1.3480e-06  eta: 1 day, 17:42:26  time: 1.4088  data_time: 0.0262  memory: 25630  grad_norm: 3.3789  loss: 1.0645  caption_loss_cls: 1.8830  detection_loss_cls: 0.0235  detection_loss_reg: 0.3057  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9529  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3128  instance_segmentation_loss_poly: 0.8225
2024/01/11 20:44:24 - mmengine - INFO - Iter(train) [533500/640000]  base_lr: 1.3357e-05 lr: 1.3357e-06  eta: 1 day, 17:30:06  time: 1.4044  data_time: 0.0261  memory: 25630  grad_norm: 3.4356  loss: 1.0660  caption_loss_cls: 1.8847  detection_loss_cls: 0.0235  detection_loss_reg: 0.3052  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9492  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3125  instance_segmentation_loss_poly: 0.8223
2024/01/11 20:55:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 20:55:36 - mmengine - INFO - Iter(train) [534000/640000]  base_lr: 1.3235e-05 lr: 1.3235e-06  eta: 1 day, 17:17:02  time: 1.4021  data_time: 0.0261  memory: 25630  grad_norm: 3.4360  loss: 1.0683  caption_loss_cls: 1.8860  detection_loss_cls: 0.0235  detection_loss_reg: 0.3048  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9515  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3138  instance_segmentation_loss_poly: 0.8255
2024/01/11 20:55:36 - mmengine - INFO - Saving checkpoint at 534000 iterations
2024/01/11 21:07:56 - mmengine - INFO - Iter(train) [534500/640000]  base_lr: 1.3113e-05 lr: 1.3113e-06  eta: 1 day, 17:07:05  time: 1.4095  data_time: 0.0262  memory: 25630  grad_norm: 3.4072  loss: 1.0649  caption_loss_cls: 1.8849  detection_loss_cls: 0.0234  detection_loss_reg: 0.3049  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9490  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3163  instance_segmentation_loss_poly: 0.8295
2024/01/11 21:19:07 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 21:19:07 - mmengine - INFO - Iter(train) [535000/640000]  base_lr: 1.2992e-05 lr: 1.2992e-06  eta: 1 day, 16:53:59  time: 1.4046  data_time: 0.0262  memory: 25630  grad_norm: 3.4549  loss: 1.0730  caption_loss_cls: 1.8779  detection_loss_cls: 0.0234  detection_loss_reg: 0.3049  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9505  instance_segmentation_loss_cls: 0.0243  instance_segmentation_loss_reg: 0.3161  instance_segmentation_loss_poly: 0.8295
2024/01/11 21:30:57 - mmengine - INFO - Iter(train) [535500/640000]  base_lr: 1.2871e-05 lr: 1.2871e-06  eta: 1 day, 16:42:40  time: 1.4075  data_time: 0.0263  memory: 25630  grad_norm: 3.4088  loss: 1.0634  caption_loss_cls: 1.8754  detection_loss_cls: 0.0235  detection_loss_reg: 0.3056  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9504  instance_segmentation_loss_cls: 0.0242  instance_segmentation_loss_reg: 0.3145  instance_segmentation_loss_poly: 0.8253
2024/01/11 21:42:34 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 21:42:34 - mmengine - INFO - Iter(train) [536000/640000]  base_lr: 1.2751e-05 lr: 1.2751e-06  eta: 1 day, 16:30:47  time: 1.4075  data_time: 0.0262  memory: 25630  grad_norm: 3.4021  loss: 1.0518  caption_loss_cls: 1.8767  detection_loss_cls: 0.0235  detection_loss_reg: 0.3047  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9515  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3141  instance_segmentation_loss_poly: 0.8246
2024/01/11 21:42:34 - mmengine - INFO - Saving checkpoint at 536000 iterations
2024/01/11 21:54:25 - mmengine - INFO - Iter(train) [536500/640000]  base_lr: 1.2631e-05 lr: 1.2631e-06  eta: 1 day, 16:19:29  time: 1.4021  data_time: 0.0262  memory: 25630  grad_norm: 3.3917  loss: 1.0467  caption_loss_cls: 1.8740  detection_loss_cls: 0.0234  detection_loss_reg: 0.3035  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.9532  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3119  instance_segmentation_loss_poly: 0.8208
2024/01/11 22:05:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 22:05:49 - mmengine - INFO - Iter(train) [537000/640000]  base_lr: 1.2512e-05 lr: 1.2512e-06  eta: 1 day, 16:07:04  time: 1.3923  data_time: 0.0260  memory: 25630  grad_norm: 3.4503  loss: 1.0510  caption_loss_cls: 1.8735  detection_loss_cls: 0.0234  detection_loss_reg: 0.3043  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9534  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3113  instance_segmentation_loss_poly: 0.8195
2024/01/11 22:17:20 - mmengine - INFO - Iter(train) [537500/640000]  base_lr: 1.2393e-05 lr: 1.2393e-06  eta: 1 day, 15:54:56  time: 1.3928  data_time: 0.0262  memory: 25630  grad_norm: 3.4279  loss: 1.0528  caption_loss_cls: 1.8720  detection_loss_cls: 0.0233  detection_loss_reg: 0.3036  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9537  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3119  instance_segmentation_loss_poly: 0.8200
2024/01/11 22:28:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 22:28:50 - mmengine - INFO - Iter(train) [538000/640000]  base_lr: 1.2275e-05 lr: 1.2275e-06  eta: 1 day, 15:42:47  time: 1.3973  data_time: 0.0261  memory: 25630  grad_norm: 3.4562  loss: 1.0560  caption_loss_cls: 1.8793  detection_loss_cls: 0.0232  detection_loss_reg: 0.3028  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9524  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3110  instance_segmentation_loss_poly: 0.8181
2024/01/11 22:28:50 - mmengine - INFO - Saving checkpoint at 538000 iterations
2024/01/11 22:41:00 - mmengine - INFO - Iter(train) [538500/640000]  base_lr: 1.2158e-05 lr: 1.2158e-06  eta: 1 day, 15:32:15  time: 1.3949  data_time: 0.0262  memory: 25630  grad_norm: 3.4704  loss: 1.0502  caption_loss_cls: 1.8799  detection_loss_cls: 0.0231  detection_loss_reg: 0.3018  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9507  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3110  instance_segmentation_loss_poly: 0.8178
2024/01/11 22:52:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 22:52:52 - mmengine - INFO - Iter(train) [539000/640000]  base_lr: 1.2041e-05 lr: 1.2041e-06  eta: 1 day, 15:20:59  time: 1.4054  data_time: 0.0263  memory: 25630  grad_norm: 3.4820  loss: 1.0531  caption_loss_cls: 1.8839  detection_loss_cls: 0.0232  detection_loss_reg: 0.3034  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9453  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3130  instance_segmentation_loss_poly: 0.8219
2024/01/11 23:04:35 - mmengine - INFO - Iter(train) [539500/640000]  base_lr: 1.1924e-05 lr: 1.1924e-06  eta: 1 day, 15:09:20  time: 1.4035  data_time: 0.0264  memory: 25630  grad_norm: 3.5560  loss: 1.0663  caption_loss_cls: 1.8840  detection_loss_cls: 0.0231  detection_loss_reg: 0.3036  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9511  instance_segmentation_loss_cls: 0.0241  instance_segmentation_loss_reg: 0.3134  instance_segmentation_loss_poly: 0.8237
2024/01/11 23:16:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/11 23:16:22 - mmengine - INFO - Iter(train) [540000/640000]  base_lr: 1.1808e-05 lr: 1.1808e-06  eta: 1 day, 14:57:51  time: 1.4061  data_time: 0.0264  memory: 25630  grad_norm: 3.5414  loss: 1.0699  caption_loss_cls: 1.8897  detection_loss_cls: 0.0230  detection_loss_reg: 0.3022  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9567  instance_segmentation_loss_cls: 0.0240  instance_segmentation_loss_reg: 0.3127  instance_segmentation_loss_poly: 0.8238
2024/01/11 23:16:22 - mmengine - INFO - Saving checkpoint at 540000 iterations
2024/01/11 23:28:05 - mmengine - INFO - Evaluating bbox...
2024/01/11 23:29:05 - mmengine - INFO - bbox_mAP_copypaste: 0.529 0.710 0.580 0.371 0.575 0.682
2024/01/11 23:29:05 - mmengine - INFO - Evaluating segm...
2024/01/11 23:30:16 - mmengine - INFO - segm_mAP_copypaste: 0.356 0.625 0.354 0.204 0.402 0.543
2024/01/11 23:32:24 - mmengine - INFO - Evaluating bbox...
2024/01/11 23:33:23 - mmengine - INFO - bbox_mAP_copypaste: 0.524 0.707 0.573 0.355 0.571 0.682
2024/01/11 23:39:31 - mmengine - INFO - per class results:
2024/01/11 23:39:31 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.46 |  89.9 |
|       building      | 83.04 | 92.21 |
|         sky         | 93.67 | 97.92 |
|        floor        | 82.95 | 90.78 |
|         tree        | 74.61 | 87.32 |
|       ceiling       | 86.51 | 94.39 |
|         road        | 84.96 | 90.23 |
|         bed         | 90.76 | 96.13 |
|      windowpane     | 63.78 | 79.67 |
|        grass        | 66.34 | 80.78 |
|       cabinet       | 63.92 | 73.77 |
|       sidewalk      | 69.64 | 82.14 |
|        person       | 82.25 |  92.3 |
|        earth        | 39.12 | 53.45 |
|         door        | 55.63 | 70.56 |
|        table        | 65.01 | 80.24 |
|       mountain      | 61.05 | 78.11 |
|        plant        | 54.19 | 64.74 |
|       curtain       | 76.64 | 87.61 |
|        chair        | 63.38 | 77.46 |
|         car         | 85.33 | 92.27 |
|        water        | 60.88 |  73.7 |
|       painting      | 74.69 | 88.07 |
|         sofa        | 73.29 | 82.89 |
|        shelf        | 47.99 | 69.71 |
|        house        | 44.79 | 60.46 |
|         sea         | 61.31 | 74.15 |
|        mirror       | 68.59 | 78.04 |
|         rug         | 65.62 | 75.68 |
|        field        | 37.94 | 59.13 |
|       armchair      | 53.88 | 72.51 |
|         seat        | 67.85 | 82.57 |
|        fence        | 48.36 | 65.61 |
|         desk        | 52.72 | 72.01 |
|         rock        |  47.5 | 66.26 |
|       wardrobe      |  44.8 | 64.62 |
|         lamp        | 67.53 | 79.96 |
|       bathtub       | 79.79 | 89.29 |
|       railing       |  41.8 | 57.77 |
|       cushion       | 64.77 | 80.35 |
|         base        | 19.95 | 27.81 |
|         box         | 29.96 | 39.21 |
|        column       | 57.01 | 66.37 |
|      signboard      |  39.6 |  54.7 |
|   chest of drawers  | 40.49 | 62.22 |
|       counter       | 29.21 | 40.96 |
|         sand        | 44.72 |  68.9 |
|         sink        | 75.62 | 83.45 |
|      skyscraper     | 47.01 | 59.32 |
|      fireplace      | 76.05 | 88.43 |
|     refrigerator    | 81.44 | 85.97 |
|      grandstand     |  48.8 |  82.6 |
|         path        | 21.42 | 30.16 |
|        stairs       | 32.96 | 40.19 |
|        runway       | 74.12 | 94.77 |
|         case        | 51.64 | 65.25 |
|      pool table     | 92.12 | 95.67 |
|        pillow       | 60.59 | 69.06 |
|     screen door     |  70.3 | 74.04 |
|       stairway      | 32.54 | 43.38 |
|        river        | 15.09 | 35.43 |
|        bridge       | 69.17 | 79.14 |
|       bookcase      | 41.75 | 57.46 |
|        blind        | 38.91 | 44.31 |
|     coffee table    | 64.48 | 82.79 |
|        toilet       | 87.69 | 92.39 |
|        flower       | 44.03 | 55.28 |
|         book        | 49.27 | 68.91 |
|         hill        | 16.65 | 25.22 |
|        bench        | 63.32 |  74.2 |
|      countertop     | 62.83 | 80.74 |
|        stove        | 81.24 | 84.82 |
|         palm        | 48.39 | 71.63 |
|    kitchen island   |  51.2 | 74.13 |
|       computer      | 77.91 | 89.04 |
|     swivel chair    |  46.9 | 62.43 |
|         boat        | 67.23 | 87.69 |
|         bar         | 38.26 | 47.66 |
|    arcade machine   | 66.29 | 69.85 |
|        hovel        |  15.5 | 16.51 |
|         bus         | 86.81 | 94.73 |
|        towel        | 67.07 | 80.08 |
|        light        | 53.23 |  63.0 |
|        truck        | 49.78 | 66.47 |
|        tower        | 31.07 | 50.95 |
|      chandelier     |  67.6 | 78.29 |
|        awning       | 31.98 | 39.75 |
|     streetlight     | 35.38 | 48.01 |
|        booth        | 41.72 | 59.63 |
| television receiver | 73.77 | 86.28 |
|       airplane      | 67.37 | 76.39 |
|      dirt track     |  8.09 | 22.55 |
|       apparel       |  32.5 | 48.55 |
|         pole        | 29.96 | 45.68 |
|         land        |  3.48 |  4.86 |
|      bannister      |  17.3 | 24.04 |
|      escalator      | 27.38 | 29.62 |
|       ottoman       | 59.53 | 72.27 |
|        bottle       | 28.04 | 36.12 |
|        buffet       | 60.03 | 65.46 |
|        poster       | 33.06 |  49.0 |
|        stage        | 11.98 | 17.65 |
|         van         | 46.34 |  60.3 |
|         ship        |  9.16 |  9.69 |
|       fountain      | 19.77 | 20.08 |
|    conveyer belt    | 65.54 | 91.86 |
|        canopy       |  37.2 | 43.39 |
|        washer       | 68.65 |  71.9 |
|      plaything      | 30.37 | 38.09 |
|    swimming pool    | 68.34 | 69.97 |
|        stool        | 44.38 | 61.68 |
|        barrel       | 21.67 | 74.95 |
|        basket       | 35.74 | 45.85 |
|      waterfall      | 65.01 | 87.92 |
|         tent        | 75.67 |  97.7 |
|         bag         | 25.88 | 35.06 |
|       minibike      | 73.33 | 85.89 |
|        cradle       | 84.86 | 96.81 |
|         oven        | 51.57 | 63.47 |
|         ball        | 50.05 | 63.79 |
|         food        | 53.25 | 58.13 |
|         step        |  7.64 |  9.59 |
|         tank        | 51.25 | 55.16 |
|      trade name     | 27.62 | 33.27 |
|      microwave      | 86.83 | 94.07 |
|         pot         |  52.6 | 61.44 |
|        animal       | 63.45 | 67.55 |
|       bicycle       | 58.78 | 74.33 |
|         lake        | 59.51 | 65.11 |
|      dishwasher     | 78.36 | 87.37 |
|        screen       | 60.42 | 80.53 |
|       blanket       | 31.06 |  37.7 |
|      sculpture      | 68.43 | 80.68 |
|         hood        | 62.85 | 72.51 |
|        sconce       | 48.04 | 60.79 |
|         vase        | 45.41 | 63.48 |
|    traffic light    | 40.44 | 55.03 |
|         tray        | 21.15 |  32.1 |
|        ashcan       | 42.74 |  59.2 |
|         fan         | 64.58 | 76.04 |
|         pier        | 45.25 | 52.45 |
|      crt screen     |  4.68 | 13.53 |
|        plate        | 59.08 | 76.89 |
|       monitor       |  5.3  |  6.07 |
|    bulletin board   | 57.37 | 69.51 |
|        shower       |  4.43 |  6.92 |
|       radiator      | 61.87 | 72.04 |
|        glass        | 19.73 | 21.67 |
|        clock        | 39.03 | 46.84 |
|         flag        | 45.14 | 52.63 |
+---------------------+-------+-------+
2024/01/11 23:39:43 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5240  coco/bbox_mAP_50: 0.7070  coco/bbox_mAP_75: 0.5730  coco/bbox_mAP_s: 0.3550  coco/bbox_mAP_m: 0.5710  coco/bbox_mAP_l: 0.6820  coco/segm_mAP: 0.3560  coco/segm_mAP_50: 0.6250  coco/segm_mAP_75: 0.3540  coco/segm_mAP_s: 0.2040  coco/segm_mAP_m: 0.4020  coco/segm_mAP_l: 0.5430  Bleu_1: 0.7732  Bleu_2: 0.6124  Bleu_3: 0.4704  Bleu_4: 0.3577  METEOR: 0.2823  ROUGE_L: 0.5719  CIDEr: 1.1743  SPICE: 0.2109  aAcc: 84.4500  mIoU: 52.3700  mAcc: 64.2500  visual-grounding/miou: 0.8333  visual-grounding/acc: 0.8900  data_time: 0.0118  time: 1.9005
2024/01/11 23:51:38 - mmengine - INFO - Iter(train) [540500/640000]  base_lr: 1.1693e-05 lr: 1.1693e-06  eta: 1 day, 14:46:42  time: 1.4074  data_time: 0.0200  memory: 34721  grad_norm: 3.5044  loss: 1.0642  caption_loss_cls: 1.8882  detection_loss_cls: 0.0230  detection_loss_reg: 0.3017  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9529  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3116  instance_segmentation_loss_poly: 0.8219
2024/01/12 00:03:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 00:03:11 - mmengine - INFO - Iter(train) [541000/640000]  base_lr: 1.1578e-05 lr: 1.1578e-06  eta: 1 day, 14:34:41  time: 1.4096  data_time: 0.0201  memory: 25630  grad_norm: 3.5146  loss: 1.0626  caption_loss_cls: 1.8867  detection_loss_cls: 0.0230  detection_loss_reg: 0.3016  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9542  instance_segmentation_loss_cls: 0.0239  instance_segmentation_loss_reg: 0.3111  instance_segmentation_loss_poly: 0.8206
2024/01/12 00:15:08 - mmengine - INFO - Iter(train) [541500/640000]  base_lr: 1.1463e-05 lr: 1.1463e-06  eta: 1 day, 14:23:32  time: 1.4162  data_time: 0.0201  memory: 25630  grad_norm: 3.5128  loss: 1.0613  caption_loss_cls: 1.8863  detection_loss_cls: 0.0231  detection_loss_reg: 0.3035  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9596  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3089  instance_segmentation_loss_poly: 0.8161
2024/01/12 00:26:40 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 00:26:40 - mmengine - INFO - Iter(train) [542000/640000]  base_lr: 1.1350e-05 lr: 1.1350e-06  eta: 1 day, 14:11:29  time: 1.4168  data_time: 0.0201  memory: 25630  grad_norm: 3.4864  loss: 1.0607  caption_loss_cls: 1.8936  detection_loss_cls: 0.0232  detection_loss_reg: 0.3043  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9583  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3073  instance_segmentation_loss_poly: 0.8130
2024/01/12 00:26:40 - mmengine - INFO - Saving checkpoint at 542000 iterations
2024/01/12 00:39:00 - mmengine - INFO - Iter(train) [542500/640000]  base_lr: 1.1236e-05 lr: 1.1236e-06  eta: 1 day, 14:01:08  time: 1.4193  data_time: 0.0200  memory: 25630  grad_norm: 3.4412  loss: 1.0553  caption_loss_cls: 1.8948  detection_loss_cls: 0.0231  detection_loss_reg: 0.3046  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9599  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3080  instance_segmentation_loss_poly: 0.8155
2024/01/12 00:50:40 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 00:50:40 - mmengine - INFO - Iter(train) [543000/640000]  base_lr: 1.1123e-05 lr: 1.1123e-06  eta: 1 day, 13:49:21  time: 1.4161  data_time: 0.0199  memory: 25630  grad_norm: 3.4046  loss: 1.0496  caption_loss_cls: 1.8938  detection_loss_cls: 0.0229  detection_loss_reg: 0.3021  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9575  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3096  instance_segmentation_loss_poly: 0.8182
2024/01/12 01:02:15 - mmengine - INFO - Iter(train) [543500/640000]  base_lr: 1.1011e-05 lr: 1.1011e-06  eta: 1 day, 13:37:25  time: 1.4143  data_time: 0.0199  memory: 25630  grad_norm: 3.3896  loss: 1.0535  caption_loss_cls: 1.8945  detection_loss_cls: 0.0230  detection_loss_reg: 0.3025  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9558  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3071  instance_segmentation_loss_poly: 0.8128
2024/01/12 01:14:27 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 01:14:27 - mmengine - INFO - Iter(train) [544000/640000]  base_lr: 1.0900e-05 lr: 1.0900e-06  eta: 1 day, 13:26:41  time: 1.4203  data_time: 0.0201  memory: 25630  grad_norm: 3.4021  loss: 1.0620  caption_loss_cls: 1.8920  detection_loss_cls: 0.0230  detection_loss_reg: 0.3023  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9543  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3082  instance_segmentation_loss_poly: 0.8155
2024/01/12 01:14:27 - mmengine - INFO - Saving checkpoint at 544000 iterations
2024/01/12 01:26:34 - mmengine - INFO - Iter(train) [544500/640000]  base_lr: 1.0788e-05 lr: 1.0788e-06  eta: 1 day, 13:15:48  time: 1.4231  data_time: 0.0264  memory: 25630  grad_norm: 3.4494  loss: 1.0681  caption_loss_cls: 1.8888  detection_loss_cls: 0.0230  detection_loss_reg: 0.3022  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9541  instance_segmentation_loss_cls: 0.0238  instance_segmentation_loss_reg: 0.3089  instance_segmentation_loss_poly: 0.8168
2024/01/12 01:38:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 01:38:36 - mmengine - INFO - Iter(train) [545000/640000]  base_lr: 1.0678e-05 lr: 1.0678e-06  eta: 1 day, 13:04:43  time: 1.4304  data_time: 0.0265  memory: 25630  grad_norm: 3.4166  loss: 1.0671  caption_loss_cls: 1.8909  detection_loss_cls: 0.0228  detection_loss_reg: 0.3008  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9556  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3090  instance_segmentation_loss_poly: 0.8162
2024/01/12 01:50:34 - mmengine - INFO - Iter(train) [545500/640000]  base_lr: 1.0568e-05 lr: 1.0568e-06  eta: 1 day, 12:53:28  time: 1.4304  data_time: 0.0264  memory: 25630  grad_norm: 3.3609  loss: 1.0581  caption_loss_cls: 1.8920  detection_loss_cls: 0.0230  detection_loss_reg: 0.3013  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9558  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3081  instance_segmentation_loss_poly: 0.8132
2024/01/12 02:02:32 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 02:02:32 - mmengine - INFO - Iter(train) [546000/640000]  base_lr: 1.0458e-05 lr: 1.0458e-06  eta: 1 day, 12:42:13  time: 1.4370  data_time: 0.0265  memory: 25630  grad_norm: 3.3510  loss: 1.0479  caption_loss_cls: 1.8867  detection_loss_cls: 0.0229  detection_loss_reg: 0.3002  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9526  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3078  instance_segmentation_loss_poly: 0.8126
2024/01/12 02:02:32 - mmengine - INFO - Saving checkpoint at 546000 iterations
2024/01/12 02:14:46 - mmengine - INFO - Iter(train) [546500/640000]  base_lr: 1.0349e-05 lr: 1.0349e-06  eta: 1 day, 12:31:27  time: 1.4354  data_time: 0.0266  memory: 25630  grad_norm: 3.3915  loss: 1.0560  caption_loss_cls: 1.8846  detection_loss_cls: 0.0227  detection_loss_reg: 0.2965  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9562  instance_segmentation_loss_cls: 0.0236  instance_segmentation_loss_reg: 0.3080  instance_segmentation_loss_poly: 0.8134
2024/01/12 02:25:58 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 02:25:58 - mmengine - INFO - Iter(train) [547000/640000]  base_lr: 1.0241e-05 lr: 1.0241e-06  eta: 1 day, 12:18:46  time: 1.4284  data_time: 0.0265  memory: 25630  grad_norm: 3.4313  loss: 1.0647  caption_loss_cls: 1.8877  detection_loss_cls: 0.0228  detection_loss_reg: 0.2975  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9550  instance_segmentation_loss_cls: 0.0236  instance_segmentation_loss_reg: 0.3070  instance_segmentation_loss_poly: 0.8124
2024/01/12 02:37:31 - mmengine - INFO - Iter(train) [547500/640000]  base_lr: 1.0133e-05 lr: 1.0133e-06  eta: 1 day, 12:06:46  time: 1.4280  data_time: 0.0265  memory: 25630  grad_norm: 3.4312  loss: 1.0678  caption_loss_cls: 1.8990  detection_loss_cls: 0.0230  detection_loss_reg: 0.2985  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9515  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3086  instance_segmentation_loss_poly: 0.8150
2024/01/12 02:49:21 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 02:49:21 - mmengine - INFO - Iter(train) [548000/640000]  base_lr: 1.0025e-05 lr: 1.0025e-06  eta: 1 day, 11:55:15  time: 1.4227  data_time: 0.0263  memory: 25630  grad_norm: 3.4458  loss: 1.0596  caption_loss_cls: 1.8969  detection_loss_cls: 0.0231  detection_loss_reg: 0.3006  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9495  instance_segmentation_loss_cls: 0.0236  instance_segmentation_loss_reg: 0.3085  instance_segmentation_loss_poly: 0.8147
2024/01/12 02:49:21 - mmengine - INFO - Saving checkpoint at 548000 iterations
2024/01/12 03:01:15 - mmengine - INFO - Iter(train) [548500/640000]  base_lr: 9.9185e-06 lr: 9.9185e-07  eta: 1 day, 11:43:50  time: 1.4191  data_time: 0.0261  memory: 25630  grad_norm: 3.4514  loss: 1.0567  caption_loss_cls: 1.8937  detection_loss_cls: 0.0232  detection_loss_reg: 0.3006  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9503  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3093  instance_segmentation_loss_poly: 0.8174
2024/01/12 03:13:07 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 03:13:07 - mmengine - INFO - Iter(train) [549000/640000]  base_lr: 9.8122e-06 lr: 9.8122e-07  eta: 1 day, 11:32:22  time: 1.4167  data_time: 0.0260  memory: 25630  grad_norm: 3.4914  loss: 1.0538  caption_loss_cls: 1.8925  detection_loss_cls: 0.0231  detection_loss_reg: 0.3007  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9480  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3078  instance_segmentation_loss_poly: 0.8144
2024/01/12 03:24:48 - mmengine - INFO - Iter(train) [549500/640000]  base_lr: 9.7065e-06 lr: 9.7065e-07  eta: 1 day, 11:20:34  time: 1.4125  data_time: 0.0261  memory: 25630  grad_norm: 3.5528  loss: 1.0586  caption_loss_cls: 1.8940  detection_loss_cls: 0.0231  detection_loss_reg: 0.2999  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9457  instance_segmentation_loss_cls: 0.0234  instance_segmentation_loss_reg: 0.3077  instance_segmentation_loss_poly: 0.8148
2024/01/12 03:36:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 03:36:39 - mmengine - INFO - Iter(train) [550000/640000]  base_lr: 9.6013e-06 lr: 9.6013e-07  eta: 1 day, 11:09:05  time: 1.4108  data_time: 0.0259  memory: 25630  grad_norm: 3.5374  loss: 1.0516  caption_loss_cls: 1.8932  detection_loss_cls: 0.0232  detection_loss_reg: 0.3008  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9446  instance_segmentation_loss_cls: 0.0233  instance_segmentation_loss_reg: 0.3060  instance_segmentation_loss_poly: 0.8120
2024/01/12 03:36:39 - mmengine - INFO - Saving checkpoint at 550000 iterations
2024/01/12 03:48:59 - mmengine - INFO - Iter(train) [550500/640000]  base_lr: 9.4966e-06 lr: 9.4966e-07  eta: 1 day, 10:58:22  time: 1.4124  data_time: 0.0262  memory: 25630  grad_norm: 3.5212  loss: 1.0510  caption_loss_cls: 1.8887  detection_loss_cls: 0.0229  detection_loss_reg: 0.2983  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9473  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3090  instance_segmentation_loss_poly: 0.8191
2024/01/12 04:00:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 04:00:31 - mmengine - INFO - Iter(train) [551000/640000]  base_lr: 9.3925e-06 lr: 9.3925e-07  eta: 1 day, 10:46:19  time: 1.4173  data_time: 0.0263  memory: 25630  grad_norm: 3.5243  loss: 1.0413  caption_loss_cls: 1.8856  detection_loss_cls: 0.0229  detection_loss_reg: 0.2979  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9452  instance_segmentation_loss_cls: 0.0236  instance_segmentation_loss_reg: 0.3107  instance_segmentation_loss_poly: 0.8219
2024/01/12 04:12:04 - mmengine - INFO - Iter(train) [551500/640000]  base_lr: 9.2889e-06 lr: 9.2889e-07  eta: 1 day, 10:34:19  time: 1.4172  data_time: 0.0263  memory: 25630  grad_norm: 3.5351  loss: 1.0341  caption_loss_cls: 1.8815  detection_loss_cls: 0.0229  detection_loss_reg: 0.3001  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9442  instance_segmentation_loss_cls: 0.0237  instance_segmentation_loss_reg: 0.3115  instance_segmentation_loss_poly: 0.8237
2024/01/12 04:23:57 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 04:23:57 - mmengine - INFO - Iter(train) [552000/640000]  base_lr: 9.1859e-06 lr: 9.1859e-07  eta: 1 day, 10:22:50  time: 1.4179  data_time: 0.0263  memory: 25630  grad_norm: 3.5475  loss: 1.0296  caption_loss_cls: 1.8731  detection_loss_cls: 0.0228  detection_loss_reg: 0.2987  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9403  instance_segmentation_loss_cls: 0.0236  instance_segmentation_loss_reg: 0.3114  instance_segmentation_loss_poly: 0.8244
2024/01/12 04:23:57 - mmengine - INFO - Saving checkpoint at 552000 iterations
2024/01/12 04:35:49 - mmengine - INFO - Iter(train) [552500/640000]  base_lr: 9.0834e-06 lr: 9.0834e-07  eta: 1 day, 10:11:19  time: 1.4175  data_time: 0.0265  memory: 25630  grad_norm: 3.5826  loss: 1.0423  caption_loss_cls: 1.8678  detection_loss_cls: 0.0229  detection_loss_reg: 0.3004  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9419  instance_segmentation_loss_cls: 0.0236  instance_segmentation_loss_reg: 0.3119  instance_segmentation_loss_poly: 0.8254
2024/01/12 04:47:32 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 04:47:32 - mmengine - INFO - Iter(train) [553000/640000]  base_lr: 8.9815e-06 lr: 8.9815e-07  eta: 1 day, 9:59:34  time: 1.4152  data_time: 0.0264  memory: 25630  grad_norm: 3.5492  loss: 1.0360  caption_loss_cls: 1.8670  detection_loss_cls: 0.0229  detection_loss_reg: 0.3007  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9392  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3106  instance_segmentation_loss_poly: 0.8225
2024/01/12 04:59:08 - mmengine - INFO - Iter(train) [553500/640000]  base_lr: 8.8801e-06 lr: 8.8801e-07  eta: 1 day, 9:47:40  time: 1.4141  data_time: 0.0264  memory: 25630  grad_norm: 3.5295  loss: 1.0417  caption_loss_cls: 1.8730  detection_loss_cls: 0.0229  detection_loss_reg: 0.3014  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9391  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3111  instance_segmentation_loss_poly: 0.8237
2024/01/12 05:10:46 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240111_051648
2024/01/12 05:10:46 - mmengine - INFO - Iter(train) [554000/640000]  base_lr: 8.7792e-06 lr: 8.7792e-07  eta: 1 day, 9:35:48  time: 1.4108  data_time: 0.0266  memory: 25630  grad_norm: 3.5525  loss: 1.0511  caption_loss_cls: 1.8699  detection_loss_cls: 0.0229  detection_loss_reg: 0.3016  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9341  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3104  instance_segmentation_loss_poly: 0.8215
2024/01/12 05:10:46 - mmengine - INFO - Saving checkpoint at 554000 iterations
2024/01/12 05:32:26 - mmengine - INFO - Iter(train) [554500/640000]  base_lr: 8.6790e-06 lr: 8.6790e-07  eta: 1 day, 8:32:35  time: 1.3971  data_time: 0.0194  memory: 25641  grad_norm: 3.5491  loss: 1.0471  caption_loss_cls: 1.8674  detection_loss_cls: 0.0229  detection_loss_reg: 0.3007  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9327  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3095  instance_segmentation_loss_poly: 0.8213
2024/01/12 05:43:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 05:43:45 - mmengine - INFO - Iter(train) [555000/640000]  base_lr: 8.5792e-06 lr: 8.5792e-07  eta: 1 day, 8:12:15  time: 1.3940  data_time: 0.0191  memory: 25641  grad_norm: 3.5572  loss: 1.0407  caption_loss_cls: 1.8673  detection_loss_cls: 0.0229  detection_loss_reg: 0.3008  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9314  instance_segmentation_loss_cls: 0.0233  instance_segmentation_loss_reg: 0.3076  instance_segmentation_loss_poly: 0.8160
2024/01/12 05:55:20 - mmengine - INFO - Iter(train) [555500/640000]  base_lr: 8.4800e-06 lr: 8.4800e-07  eta: 1 day, 8:12:16  time: 1.3943  data_time: 0.0189  memory: 25641  grad_norm: 3.5430  loss: 1.0383  caption_loss_cls: 1.8692  detection_loss_cls: 0.0229  detection_loss_reg: 0.3007  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9287  instance_segmentation_loss_cls: 0.0234  instance_segmentation_loss_reg: 0.3084  instance_segmentation_loss_poly: 0.8186
2024/01/12 06:07:17 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 06:07:17 - mmengine - INFO - Iter(train) [556000/640000]  base_lr: 8.3814e-06 lr: 8.3814e-07  eta: 1 day, 8:22:44  time: 1.3955  data_time: 0.0187  memory: 25641  grad_norm: 3.5301  loss: 1.0477  caption_loss_cls: 1.8714  detection_loss_cls: 0.0227  detection_loss_reg: 0.3000  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9264  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3098  instance_segmentation_loss_poly: 0.8215
2024/01/12 06:07:17 - mmengine - INFO - Saving checkpoint at 556000 iterations
2024/01/12 06:19:21 - mmengine - INFO - Iter(train) [556500/640000]  base_lr: 8.2833e-06 lr: 8.2833e-07  eta: 1 day, 8:27:38  time: 1.3987  data_time: 0.0181  memory: 25641  grad_norm: 3.5867  loss: 1.0443  caption_loss_cls: 1.8726  detection_loss_cls: 0.0228  detection_loss_reg: 0.3009  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9229  instance_segmentation_loss_cls: 0.0236  instance_segmentation_loss_reg: 0.3111  instance_segmentation_loss_poly: 0.8232
2024/01/12 06:31:07 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 06:31:07 - mmengine - INFO - Iter(train) [557000/640000]  base_lr: 8.1858e-06 lr: 8.1858e-07  eta: 1 day, 8:18:23  time: 1.3993  data_time: 0.0181  memory: 25641  grad_norm: 3.5808  loss: 1.0496  caption_loss_cls: 1.8709  detection_loss_cls: 0.0228  detection_loss_reg: 0.3013  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9200  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3107  instance_segmentation_loss_poly: 0.8212
2024/01/12 06:44:30 - mmengine - INFO - Iter(train) [557500/640000]  base_lr: 8.0888e-06 lr: 8.0888e-07  eta: 1 day, 8:46:37  time: 1.4259  data_time: 0.0180  memory: 25641  grad_norm: 3.5907  loss: 1.0544  caption_loss_cls: 1.8796  detection_loss_cls: 0.0230  detection_loss_reg: 0.3019  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9198  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3103  instance_segmentation_loss_poly: 0.8213
2024/01/12 06:57:35 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 06:57:35 - mmengine - INFO - Iter(train) [558000/640000]  base_lr: 7.9924e-06 lr: 7.9924e-07  eta: 1 day, 8:58:26  time: 1.4476  data_time: 0.0177  memory: 25641  grad_norm: 3.5545  loss: 1.0376  caption_loss_cls: 1.8759  detection_loss_cls: 0.0231  detection_loss_reg: 0.3018  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9190  instance_segmentation_loss_cls: 0.0234  instance_segmentation_loss_reg: 0.3094  instance_segmentation_loss_poly: 0.8198
2024/01/12 06:57:35 - mmengine - INFO - Saving checkpoint at 558000 iterations
2024/01/12 07:09:27 - mmengine - INFO - Iter(train) [558500/640000]  base_lr: 7.8965e-06 lr: 7.8965e-07  eta: 1 day, 8:42:40  time: 1.4542  data_time: 0.0239  memory: 25641  grad_norm: 3.6103  loss: 1.0497  caption_loss_cls: 1.8720  detection_loss_cls: 0.0231  detection_loss_reg: 0.3023  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9214  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3102  instance_segmentation_loss_poly: 0.8219
2024/01/12 07:21:33 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 07:21:33 - mmengine - INFO - Iter(train) [559000/640000]  base_lr: 7.8012e-06 lr: 7.8012e-07  eta: 1 day, 8:31:21  time: 1.4658  data_time: 0.0240  memory: 25641  grad_norm: 3.5428  loss: 1.0494  caption_loss_cls: 1.8715  detection_loss_cls: 0.0233  detection_loss_reg: 0.3044  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9222  instance_segmentation_loss_cls: 0.0234  instance_segmentation_loss_reg: 0.3105  instance_segmentation_loss_poly: 0.8222
2024/01/12 07:34:20 - mmengine - INFO - Iter(train) [559500/640000]  base_lr: 7.7064e-06 lr: 7.7064e-07  eta: 1 day, 8:29:59  time: 1.4839  data_time: 0.0243  memory: 25641  grad_norm: 3.5551  loss: 1.0442  caption_loss_cls: 1.8682  detection_loss_cls: 0.0230  detection_loss_reg: 0.3012  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9158  instance_segmentation_loss_cls: 0.0234  instance_segmentation_loss_reg: 0.3095  instance_segmentation_loss_poly: 0.8191
2024/01/12 07:45:54 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 07:45:54 - mmengine - INFO - Iter(train) [560000/640000]  base_lr: 7.6122e-06 lr: 7.6122e-07  eta: 1 day, 8:10:29  time: 1.4780  data_time: 0.0242  memory: 25641  grad_norm: 3.5636  loss: 1.0287  caption_loss_cls: 1.8630  detection_loss_cls: 0.0229  detection_loss_reg: 0.3002  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9089  instance_segmentation_loss_cls: 0.0233  instance_segmentation_loss_reg: 0.3085  instance_segmentation_loss_poly: 0.8171
2024/01/12 07:45:54 - mmengine - INFO - Saving checkpoint at 560000 iterations
2024/01/12 07:57:21 - mmengine - INFO - Evaluating bbox...
2024/01/12 07:58:19 - mmengine - INFO - bbox_mAP_copypaste: 0.527 0.708 0.576 0.369 0.573 0.682
2024/01/12 07:58:19 - mmengine - INFO - Evaluating segm...
2024/01/12 07:59:33 - mmengine - INFO - segm_mAP_copypaste: 0.356 0.626 0.352 0.205 0.402 0.546
2024/01/12 08:01:42 - mmengine - INFO - Evaluating bbox...
2024/01/12 08:02:41 - mmengine - INFO - bbox_mAP_copypaste: 0.525 0.707 0.574 0.368 0.571 0.681
2024/01/12 08:08:40 - mmengine - INFO - per class results:
2024/01/12 08:08:40 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.51 | 89.85 |
|       building      | 82.89 | 92.06 |
|         sky         | 93.67 | 97.76 |
|        floor        | 82.71 | 90.82 |
|         tree        | 74.89 | 87.48 |
|       ceiling       | 86.25 | 94.44 |
|         road        | 84.54 | 89.72 |
|         bed         | 90.72 | 96.05 |
|      windowpane     | 63.68 | 79.54 |
|        grass        | 66.84 | 82.63 |
|       cabinet       | 63.81 | 73.95 |
|       sidewalk      | 69.11 | 81.63 |
|        person       | 81.84 | 92.13 |
|        earth        | 38.31 | 49.27 |
|         door        | 55.66 | 71.18 |
|        table        | 64.37 | 80.46 |
|       mountain      | 60.22 | 78.21 |
|        plant        | 55.05 | 66.21 |
|       curtain       | 76.49 | 87.57 |
|        chair        | 62.95 | 76.65 |
|         car         | 85.26 | 92.38 |
|        water        | 60.25 | 73.02 |
|       painting      | 74.56 | 87.53 |
|         sofa        | 72.86 | 84.34 |
|        shelf        | 46.64 | 67.51 |
|        house        | 45.91 | 60.15 |
|         sea         |  61.4 | 76.88 |
|        mirror       |  69.3 | 78.13 |
|         rug         | 65.52 | 76.08 |
|        field        | 37.16 | 59.08 |
|       armchair      | 52.66 | 71.73 |
|         seat        | 67.89 | 82.01 |
|        fence        | 48.05 | 66.36 |
|         desk        | 53.66 | 69.07 |
|         rock        |  47.3 | 68.11 |
|       wardrobe      | 46.52 | 66.77 |
|         lamp        | 67.75 | 80.54 |
|       bathtub       | 80.38 | 89.87 |
|       railing       | 41.68 | 57.88 |
|       cushion       |  64.3 | 78.18 |
|         base        |  20.8 | 28.49 |
|         box         | 30.83 | 40.21 |
|        column       | 56.95 | 67.33 |
|      signboard      | 39.05 | 52.59 |
|   chest of drawers  | 39.79 | 61.64 |
|       counter       | 29.26 | 41.64 |
|         sand        | 45.96 | 67.95 |
|         sink        |  76.5 | 85.25 |
|      skyscraper     | 47.13 | 58.54 |
|      fireplace      | 76.26 | 88.62 |
|     refrigerator    |  81.5 | 87.09 |
|      grandstand     | 47.89 | 83.77 |
|         path        | 24.08 |  35.4 |
|        stairs       | 33.52 | 40.25 |
|        runway       | 73.97 | 94.87 |
|         case        |  52.8 | 68.44 |
|      pool table     | 92.21 | 96.15 |
|        pillow       | 61.67 |  71.7 |
|     screen door     |  68.1 | 71.56 |
|       stairway      | 33.29 | 43.92 |
|        river        | 14.52 | 32.06 |
|        bridge       |  68.6 | 79.24 |
|       bookcase      |  41.0 | 61.03 |
|        blind        |  38.8 | 43.98 |
|     coffee table    | 64.43 | 82.05 |
|        toilet       | 87.37 | 92.19 |
|        flower       | 43.28 | 57.78 |
|         book        | 48.87 | 71.09 |
|         hill        | 16.58 | 24.39 |
|        bench        | 61.67 | 71.69 |
|      countertop     | 62.65 | 79.08 |
|        stove        | 81.33 | 85.55 |
|         palm        | 48.89 | 73.69 |
|    kitchen island   | 49.78 | 73.92 |
|       computer      | 78.22 | 89.63 |
|     swivel chair    | 45.53 | 59.26 |
|         boat        | 66.46 | 88.37 |
|         bar         | 38.19 | 48.64 |
|    arcade machine   | 69.71 | 73.36 |
|        hovel        | 33.24 | 36.49 |
|         bus         | 86.18 | 94.73 |
|        towel        | 67.36 | 79.56 |
|        light        | 53.05 | 62.73 |
|        truck        | 50.16 | 66.21 |
|        tower        | 35.39 | 58.51 |
|      chandelier     | 67.61 | 78.14 |
|        awning       | 32.56 |  41.2 |
|     streetlight     | 35.16 | 47.66 |
|        booth        | 41.13 | 54.13 |
| television receiver | 74.88 |  89.8 |
|       airplane      | 70.66 | 81.17 |
|      dirt track     |  7.46 | 22.89 |
|       apparel       | 33.57 | 47.93 |
|         pole        | 29.66 | 42.65 |
|         land        |  3.07 |  4.05 |
|      bannister      | 16.76 | 23.58 |
|      escalator      | 23.32 | 24.38 |
|       ottoman       | 53.62 | 73.14 |
|        bottle       | 28.35 | 36.63 |
|        buffet       | 59.07 | 65.89 |
|        poster       | 34.75 | 46.66 |
|        stage        | 10.85 | 15.73 |
|         van         | 47.77 | 62.52 |
|         ship        |  16.3 | 17.15 |
|       fountain      | 21.89 | 22.21 |
|    conveyer belt    | 69.86 | 91.56 |
|        canopy       |  37.2 |  46.3 |
|        washer       | 68.53 | 72.21 |
|      plaything      |  31.8 | 40.95 |
|    swimming pool    | 67.19 | 69.83 |
|        stool        | 44.26 | 62.99 |
|        barrel       | 22.94 | 79.24 |
|        basket       | 35.09 | 45.53 |
|      waterfall      | 65.96 | 88.19 |
|         tent        |  73.0 | 97.38 |
|         bag         | 25.17 | 34.19 |
|       minibike      | 73.66 | 85.31 |
|        cradle       |  85.8 | 96.42 |
|         oven        | 53.27 | 65.23 |
|         ball        | 48.16 |  60.8 |
|         food        | 54.26 | 59.44 |
|         step        |  7.55 |  9.28 |
|         tank        | 52.35 | 56.27 |
|      trade name     |  26.6 | 32.24 |
|      microwave      | 87.28 | 93.92 |
|         pot         | 49.81 | 59.66 |
|        animal       | 64.14 | 68.86 |
|       bicycle       | 58.89 | 74.69 |
|         lake        | 57.79 | 65.12 |
|      dishwasher     | 72.84 |  87.9 |
|        screen       | 64.85 | 87.94 |
|       blanket       | 30.83 |  37.8 |
|      sculpture      | 70.77 | 81.33 |
|         hood        | 65.28 | 72.84 |
|        sconce       | 46.64 | 57.94 |
|         vase        | 44.25 | 63.14 |
|    traffic light    | 40.88 | 59.32 |
|         tray        | 20.92 | 30.55 |
|        ashcan       | 44.87 | 56.81 |
|         fan         |  64.1 | 75.84 |
|         pier        | 40.24 | 44.41 |
|      crt screen     |  3.06 |  7.86 |
|        plate        |  58.5 | 77.06 |
|       monitor       | 12.93 | 14.66 |
|    bulletin board   |  55.7 | 65.38 |
|        shower       |  2.88 |  4.99 |
|       radiator      | 61.86 | 72.69 |
|        glass        | 19.72 |  22.1 |
|        clock        |  38.5 | 45.77 |
|         flag        | 44.21 | 51.23 |
+---------------------+-------+-------+
2024/01/12 08:08:53 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5250  coco/bbox_mAP_50: 0.7070  coco/bbox_mAP_75: 0.5740  coco/bbox_mAP_s: 0.3680  coco/bbox_mAP_m: 0.5710  coco/bbox_mAP_l: 0.6810  coco/segm_mAP: 0.3560  coco/segm_mAP_50: 0.6260  coco/segm_mAP_75: 0.3520  coco/segm_mAP_s: 0.2050  coco/segm_mAP_m: 0.4020  coco/segm_mAP_l: 0.5460  Bleu_1: 0.7731  Bleu_2: 0.6114  Bleu_3: 0.4711  Bleu_4: 0.3586  METEOR: 0.2824  ROUGE_L: 0.5714  CIDEr: 1.1774  SPICE: 0.2090  aAcc: 84.4400  mIoU: 52.5200  mAcc: 64.5600  visual-grounding/miou: 0.8366  visual-grounding/acc: 0.8923  data_time: 0.0278  time: 1.9142
2024/01/12 08:20:23 - mmengine - INFO - Iter(train) [560500/640000]  base_lr: 7.5186e-06 lr: 7.5186e-07  eta: 1 day, 7:51:48  time: 1.4700  data_time: 0.0185  memory: 34733  grad_norm: 3.4860  loss: 1.0227  caption_loss_cls: 1.8629  detection_loss_cls: 0.0230  detection_loss_reg: 0.3010  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9107  instance_segmentation_loss_cls: 0.0234  instance_segmentation_loss_reg: 0.3097  instance_segmentation_loss_poly: 0.8178
2024/01/12 08:32:06 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 08:32:06 - mmengine - INFO - Iter(train) [561000/640000]  base_lr: 7.4255e-06 lr: 7.4255e-07  eta: 1 day, 7:36:16  time: 1.4694  data_time: 0.0188  memory: 25641  grad_norm: 3.5082  loss: 1.0312  caption_loss_cls: 1.8606  detection_loss_cls: 0.0229  detection_loss_reg: 0.3015  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.9101  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3114  instance_segmentation_loss_poly: 0.8226
2024/01/12 08:43:20 - mmengine - INFO - Iter(train) [561500/640000]  base_lr: 7.3330e-06 lr: 7.3330e-07  eta: 1 day, 7:15:59  time: 1.4370  data_time: 0.0189  memory: 25641  grad_norm: 3.5759  loss: 1.0314  caption_loss_cls: 1.8631  detection_loss_cls: 0.0229  detection_loss_reg: 0.3004  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9095  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3116  instance_segmentation_loss_poly: 0.8227
2024/01/12 08:55:07 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 08:55:07 - mmengine - INFO - Iter(train) [562000/640000]  base_lr: 7.2410e-06 lr: 7.2410e-07  eta: 1 day, 7:02:29  time: 1.4177  data_time: 0.0191  memory: 25641  grad_norm: 3.6020  loss: 1.0498  caption_loss_cls: 1.8630  detection_loss_cls: 0.0229  detection_loss_reg: 0.3016  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.9110  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3115  instance_segmentation_loss_poly: 0.8231
2024/01/12 08:55:07 - mmengine - INFO - Saving checkpoint at 562000 iterations
2024/01/12 09:07:09 - mmengine - INFO - Iter(train) [562500/640000]  base_lr: 7.1496e-06 lr: 7.1496e-07  eta: 1 day, 6:51:10  time: 1.4200  data_time: 0.0208  memory: 25641  grad_norm: 3.6061  loss: 1.0519  caption_loss_cls: 1.8600  detection_loss_cls: 0.0230  detection_loss_reg: 0.3024  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.9117  instance_segmentation_loss_cls: 0.0235  instance_segmentation_loss_reg: 0.3118  instance_segmentation_loss_poly: 0.8242
2024/01/12 09:18:47 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 09:18:47 - mmengine - INFO - Iter(train) [563000/640000]  base_lr: 7.0587e-06 lr: 7.0587e-07  eta: 1 day, 6:36:31  time: 1.4131  data_time: 0.0209  memory: 25641  grad_norm: 3.6325  loss: 1.0582  caption_loss_cls: 1.8594  detection_loss_cls: 0.0230  detection_loss_reg: 0.3039  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.9086  instance_segmentation_loss_cls: 0.0233  instance_segmentation_loss_reg: 0.3100  instance_segmentation_loss_poly: 0.8208
2024/01/12 09:30:25 - mmengine - INFO - Iter(train) [563500/640000]  base_lr: 6.9684e-06 lr: 6.9684e-07  eta: 1 day, 6:22:12  time: 1.3959  data_time: 0.0209  memory: 25641  grad_norm: 3.6064  loss: 1.0538  caption_loss_cls: 1.8555  detection_loss_cls: 0.0229  detection_loss_reg: 0.3033  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.9084  instance_segmentation_loss_cls: 0.0234  instance_segmentation_loss_reg: 0.3108  instance_segmentation_loss_poly: 0.8216
2024/01/12 09:42:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 09:42:03 - mmengine - INFO - Iter(train) [564000/640000]  base_lr: 6.8787e-06 lr: 6.8787e-07  eta: 1 day, 6:08:10  time: 1.3969  data_time: 0.0213  memory: 25641  grad_norm: 3.6357  loss: 1.0683  caption_loss_cls: 1.8510  detection_loss_cls: 0.0229  detection_loss_reg: 0.3039  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.9073  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3097  instance_segmentation_loss_poly: 0.8186
2024/01/12 09:42:03 - mmengine - INFO - Saving checkpoint at 564000 iterations
2024/01/12 09:54:17 - mmengine - INFO - Iter(train) [564500/640000]  base_lr: 6.7895e-06 lr: 6.7895e-07  eta: 1 day, 5:58:33  time: 1.4073  data_time: 0.0279  memory: 25641  grad_norm: 3.5859  loss: 1.0544  caption_loss_cls: 1.8483  detection_loss_cls: 0.0229  detection_loss_reg: 0.3042  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.9076  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3085  instance_segmentation_loss_poly: 0.8157
2024/01/12 10:05:47 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 10:05:47 - mmengine - INFO - Iter(train) [565000/640000]  base_lr: 6.7009e-06 lr: 6.7009e-07  eta: 1 day, 5:43:51  time: 1.4041  data_time: 0.0278  memory: 25641  grad_norm: 3.6094  loss: 1.0498  caption_loss_cls: 1.8487  detection_loss_cls: 0.0228  detection_loss_reg: 0.3040  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.9041  instance_segmentation_loss_cls: 0.0229  instance_segmentation_loss_reg: 0.3081  instance_segmentation_loss_poly: 0.8155
2024/01/12 10:16:56 - mmengine - INFO - Iter(train) [565500/640000]  base_lr: 6.6128e-06 lr: 6.6128e-07  eta: 1 day, 5:27:05  time: 1.4031  data_time: 0.0278  memory: 25641  grad_norm: 3.5916  loss: 1.0565  caption_loss_cls: 1.8506  detection_loss_cls: 0.0227  detection_loss_reg: 0.3049  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.9034  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3094  instance_segmentation_loss_poly: 0.8194
2024/01/12 10:28:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 10:28:45 - mmengine - INFO - Iter(train) [566000/640000]  base_lr: 6.5254e-06 lr: 6.5254e-07  eta: 1 day, 5:14:53  time: 1.4033  data_time: 0.0278  memory: 25641  grad_norm: 3.5987  loss: 1.0562  caption_loss_cls: 1.8491  detection_loss_cls: 0.0227  detection_loss_reg: 0.3047  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.9052  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3096  instance_segmentation_loss_poly: 0.8195
2024/01/12 10:28:45 - mmengine - INFO - Saving checkpoint at 566000 iterations
2024/01/12 10:40:18 - mmengine - INFO - Iter(train) [566500/640000]  base_lr: 6.4384e-06 lr: 6.4384e-07  eta: 1 day, 5:01:14  time: 1.3964  data_time: 0.0271  memory: 25641  grad_norm: 3.5901  loss: 1.0469  caption_loss_cls: 1.8489  detection_loss_cls: 0.0227  detection_loss_reg: 0.3059  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8989  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3088  instance_segmentation_loss_poly: 0.8174
2024/01/12 10:52:05 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 10:52:05 - mmengine - INFO - Iter(train) [567000/640000]  base_lr: 6.3521e-06 lr: 6.3521e-07  eta: 1 day, 4:48:55  time: 1.3985  data_time: 0.0271  memory: 25641  grad_norm: 3.5602  loss: 1.0327  caption_loss_cls: 1.8471  detection_loss_cls: 0.0229  detection_loss_reg: 0.3073  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8977  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3087  instance_segmentation_loss_poly: 0.8177
2024/01/12 11:03:27 - mmengine - INFO - Iter(train) [567500/640000]  base_lr: 6.2663e-06 lr: 6.2663e-07  eta: 1 day, 4:34:28  time: 1.3944  data_time: 0.0272  memory: 25641  grad_norm: 3.5809  loss: 1.0386  caption_loss_cls: 1.8317  detection_loss_cls: 0.0228  detection_loss_reg: 0.3061  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8984  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3102  instance_segmentation_loss_poly: 0.8219
2024/01/12 11:14:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 11:14:52 - mmengine - INFO - Iter(train) [568000/640000]  base_lr: 6.1810e-06 lr: 6.1810e-07  eta: 1 day, 4:20:33  time: 1.3912  data_time: 0.0271  memory: 25641  grad_norm: 3.5768  loss: 1.0354  caption_loss_cls: 1.8336  detection_loss_cls: 0.0228  detection_loss_reg: 0.3053  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8953  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3082  instance_segmentation_loss_poly: 0.8175
2024/01/12 11:14:52 - mmengine - INFO - Saving checkpoint at 568000 iterations
2024/01/12 11:27:05 - mmengine - INFO - Iter(train) [568500/640000]  base_lr: 6.0964e-06 lr: 6.0964e-07  eta: 1 day, 4:10:40  time: 1.3910  data_time: 0.0270  memory: 25641  grad_norm: 3.5785  loss: 1.0513  caption_loss_cls: 1.8358  detection_loss_cls: 0.0227  detection_loss_reg: 0.3035  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8961  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3088  instance_segmentation_loss_poly: 0.8183
2024/01/12 11:38:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 11:38:49 - mmengine - INFO - Iter(train) [569000/640000]  base_lr: 6.0123e-06 lr: 6.0123e-07  eta: 1 day, 3:58:24  time: 1.3944  data_time: 0.0270  memory: 25641  grad_norm: 3.5629  loss: 1.0513  caption_loss_cls: 1.8343  detection_loss_cls: 0.0228  detection_loss_reg: 0.3046  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8940  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3084  instance_segmentation_loss_poly: 0.8173
2024/01/12 11:50:10 - mmengine - INFO - Iter(train) [569500/640000]  base_lr: 5.9287e-06 lr: 5.9287e-07  eta: 1 day, 3:44:24  time: 1.3974  data_time: 0.0270  memory: 25641  grad_norm: 3.5213  loss: 1.0368  caption_loss_cls: 1.8364  detection_loss_cls: 0.0228  detection_loss_reg: 0.3049  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8917  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.3098  instance_segmentation_loss_poly: 0.8199
2024/01/12 12:02:02 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 12:02:02 - mmengine - INFO - Iter(train) [570000/640000]  base_lr: 5.8458e-06 lr: 5.8458e-07  eta: 1 day, 3:32:47  time: 1.3981  data_time: 0.0270  memory: 25641  grad_norm: 3.5010  loss: 1.0283  caption_loss_cls: 1.8383  detection_loss_cls: 0.0226  detection_loss_reg: 0.3036  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8868  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.3110  instance_segmentation_loss_poly: 0.8215
2024/01/12 12:02:02 - mmengine - INFO - Saving checkpoint at 570000 iterations
2024/01/12 12:14:17 - mmengine - INFO - Iter(train) [570500/640000]  base_lr: 5.7634e-06 lr: 5.7634e-07  eta: 1 day, 3:22:49  time: 1.4084  data_time: 0.0271  memory: 25641  grad_norm: 3.4925  loss: 1.0247  caption_loss_cls: 1.8380  detection_loss_cls: 0.0226  detection_loss_reg: 0.3047  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8819  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.3100  instance_segmentation_loss_poly: 0.8191
2024/01/12 12:25:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 12:25:39 - mmengine - INFO - Iter(train) [571000/640000]  base_lr: 5.6815e-06 lr: 5.6815e-07  eta: 1 day, 3:09:11  time: 1.4026  data_time: 0.0271  memory: 25641  grad_norm: 3.5065  loss: 1.0330  caption_loss_cls: 1.8380  detection_loss_cls: 0.0228  detection_loss_reg: 0.3063  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8831  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.3102  instance_segmentation_loss_poly: 0.8195
2024/01/12 12:37:06 - mmengine - INFO - Iter(train) [571500/640000]  base_lr: 5.6003e-06 lr: 5.6003e-07  eta: 1 day, 2:55:56  time: 1.4037  data_time: 0.0270  memory: 25641  grad_norm: 3.5089  loss: 1.0396  caption_loss_cls: 1.8399  detection_loss_cls: 0.0227  detection_loss_reg: 0.3056  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8826  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3098  instance_segmentation_loss_poly: 0.8183
2024/01/12 12:48:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 12:48:44 - mmengine - INFO - Iter(train) [572000/640000]  base_lr: 5.5196e-06 lr: 5.5196e-07  eta: 1 day, 2:43:27  time: 1.4067  data_time: 0.0270  memory: 25641  grad_norm: 3.4568  loss: 1.0331  caption_loss_cls: 1.8405  detection_loss_cls: 0.0229  detection_loss_reg: 0.3068  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8835  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3087  instance_segmentation_loss_poly: 0.8164
2024/01/12 12:48:44 - mmengine - INFO - Saving checkpoint at 572000 iterations
2024/01/12 13:00:46 - mmengine - INFO - Iter(train) [572500/640000]  base_lr: 5.4394e-06 lr: 5.4394e-07  eta: 1 day, 2:32:35  time: 1.4043  data_time: 0.0269  memory: 25641  grad_norm: 3.5140  loss: 1.0312  caption_loss_cls: 1.8433  detection_loss_cls: 0.0228  detection_loss_reg: 0.3061  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8794  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.3103  instance_segmentation_loss_poly: 0.8193
2024/01/12 13:11:59 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 13:11:59 - mmengine - INFO - Iter(train) [573000/640000]  base_lr: 5.3599e-06 lr: 5.3599e-07  eta: 1 day, 2:18:40  time: 1.3964  data_time: 0.0269  memory: 25641  grad_norm: 3.5299  loss: 1.0377  caption_loss_cls: 1.8437  detection_loss_cls: 0.0228  detection_loss_reg: 0.3058  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8782  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.3106  instance_segmentation_loss_poly: 0.8202
2024/01/12 13:24:02 - mmengine - INFO - Iter(train) [573500/640000]  base_lr: 5.2809e-06 lr: 5.2809e-07  eta: 1 day, 2:07:46  time: 1.4068  data_time: 0.0270  memory: 25641  grad_norm: 3.5435  loss: 1.0298  caption_loss_cls: 1.8387  detection_loss_cls: 0.0229  detection_loss_reg: 0.3060  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8786  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.3104  instance_segmentation_loss_poly: 0.8197
2024/01/12 13:35:25 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 13:35:25 - mmengine - INFO - Iter(train) [574000/640000]  base_lr: 5.2025e-06 lr: 5.2025e-07  eta: 1 day, 1:54:36  time: 1.3997  data_time: 0.0269  memory: 25641  grad_norm: 3.6213  loss: 1.0423  caption_loss_cls: 1.8434  detection_loss_cls: 0.0229  detection_loss_reg: 0.3063  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8783  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3098  instance_segmentation_loss_poly: 0.8183
2024/01/12 13:35:25 - mmengine - INFO - Saving checkpoint at 574000 iterations
2024/01/12 13:47:38 - mmengine - INFO - Iter(train) [574500/640000]  base_lr: 5.1246e-06 lr: 5.1246e-07  eta: 1 day, 1:44:13  time: 1.3992  data_time: 0.0268  memory: 25641  grad_norm: 3.5989  loss: 1.0555  caption_loss_cls: 1.8493  detection_loss_cls: 0.0230  detection_loss_reg: 0.3070  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8809  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3106  instance_segmentation_loss_poly: 0.8197
2024/01/12 13:58:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 13:58:53 - mmengine - INFO - Iter(train) [575000/640000]  base_lr: 5.0473e-06 lr: 5.0473e-07  eta: 1 day, 1:30:44  time: 1.3972  data_time: 0.0268  memory: 25641  grad_norm: 3.6411  loss: 1.0548  caption_loss_cls: 1.8463  detection_loss_cls: 0.0229  detection_loss_reg: 0.3064  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8837  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3094  instance_segmentation_loss_poly: 0.8167
2024/01/12 14:10:38 - mmengine - INFO - Iter(train) [575500/640000]  base_lr: 4.9706e-06 lr: 4.9706e-07  eta: 1 day, 1:18:51  time: 1.4018  data_time: 0.0268  memory: 25641  grad_norm: 3.6443  loss: 1.0536  caption_loss_cls: 1.8512  detection_loss_cls: 0.0231  detection_loss_reg: 0.3083  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8829  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3103  instance_segmentation_loss_poly: 0.8184
2024/01/12 14:22:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 14:22:36 - mmengine - INFO - Iter(train) [576000/640000]  base_lr: 4.8945e-06 lr: 4.8945e-07  eta: 1 day, 1:07:38  time: 1.4070  data_time: 0.0269  memory: 25641  grad_norm: 3.6249  loss: 1.0537  caption_loss_cls: 1.8500  detection_loss_cls: 0.0233  detection_loss_reg: 0.3098  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8850  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.3114  instance_segmentation_loss_poly: 0.8198
2024/01/12 14:22:36 - mmengine - INFO - Saving checkpoint at 576000 iterations
2024/01/12 14:34:48 - mmengine - INFO - Iter(train) [576500/640000]  base_lr: 4.8189e-06 lr: 4.8189e-07  eta: 1 day, 0:57:01  time: 1.4093  data_time: 0.0268  memory: 25641  grad_norm: 3.5818  loss: 1.0415  caption_loss_cls: 1.8529  detection_loss_cls: 0.0232  detection_loss_reg: 0.3091  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8828  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3102  instance_segmentation_loss_poly: 0.8170
2024/01/12 14:45:59 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 14:45:59 - mmengine - INFO - Iter(train) [577000/640000]  base_lr: 4.7440e-06 lr: 4.7440e-07  eta: 1 day, 0:43:32  time: 1.4088  data_time: 0.0267  memory: 25641  grad_norm: 3.5754  loss: 1.0422  caption_loss_cls: 1.8455  detection_loss_cls: 0.0232  detection_loss_reg: 0.3102  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8862  instance_segmentation_loss_cls: 0.0229  instance_segmentation_loss_reg: 0.3085  instance_segmentation_loss_poly: 0.8139
2024/01/12 14:57:17 - mmengine - INFO - Iter(train) [577500/640000]  base_lr: 4.6695e-06 lr: 4.6695e-07  eta: 1 day, 0:30:30  time: 1.3978  data_time: 0.0267  memory: 25641  grad_norm: 3.5764  loss: 1.0595  caption_loss_cls: 1.8477  detection_loss_cls: 0.0230  detection_loss_reg: 0.3102  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8881  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3091  instance_segmentation_loss_poly: 0.8169
2024/01/12 15:08:47 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 15:08:47 - mmengine - INFO - Iter(train) [578000/640000]  base_lr: 4.5957e-06 lr: 4.5957e-07  eta: 1 day, 0:18:00  time: 1.3995  data_time: 0.0267  memory: 25641  grad_norm: 3.5525  loss: 1.0528  caption_loss_cls: 1.8504  detection_loss_cls: 0.0231  detection_loss_reg: 0.3103  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8831  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3073  instance_segmentation_loss_poly: 0.8128
2024/01/12 15:08:47 - mmengine - INFO - Saving checkpoint at 578000 iterations
2024/01/12 15:20:53 - mmengine - INFO - Iter(train) [578500/640000]  base_lr: 4.5224e-06 lr: 4.5224e-07  eta: 1 day, 0:07:05  time: 1.3976  data_time: 0.0267  memory: 25641  grad_norm: 3.5440  loss: 1.0388  caption_loss_cls: 1.8518  detection_loss_cls: 0.0232  detection_loss_reg: 0.3109  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8828  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3084  instance_segmentation_loss_poly: 0.8138
2024/01/12 15:33:04 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 15:33:04 - mmengine - INFO - Iter(train) [579000/640000]  base_lr: 4.4498e-06 lr: 4.4498e-07  eta: 23:56:20  time: 1.4118  data_time: 0.0268  memory: 25641  grad_norm: 3.4977  loss: 1.0339  caption_loss_cls: 1.8544  detection_loss_cls: 0.0232  detection_loss_reg: 0.3089  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8838  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3062  instance_segmentation_loss_poly: 0.8102
2024/01/12 15:44:15 - mmengine - INFO - Iter(train) [579500/640000]  base_lr: 4.3776e-06 lr: 4.3776e-07  eta: 23:43:08  time: 1.4033  data_time: 0.0268  memory: 25641  grad_norm: 3.5525  loss: 1.0403  caption_loss_cls: 1.8591  detection_loss_cls: 0.0233  detection_loss_reg: 0.3096  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8807  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3077  instance_segmentation_loss_poly: 0.8131
2024/01/12 15:55:06 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 15:55:06 - mmengine - INFO - Iter(train) [580000/640000]  base_lr: 4.3061e-06 lr: 4.3061e-07  eta: 23:29:16  time: 1.3865  data_time: 0.0266  memory: 25641  grad_norm: 3.6669  loss: 1.0465  caption_loss_cls: 1.8588  detection_loss_cls: 0.0233  detection_loss_reg: 0.3095  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8815  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3068  instance_segmentation_loss_poly: 0.8102
2024/01/12 15:55:06 - mmengine - INFO - Saving checkpoint at 580000 iterations
2024/01/12 16:06:47 - mmengine - INFO - Evaluating bbox...
2024/01/12 16:07:44 - mmengine - INFO - bbox_mAP_copypaste: 0.528 0.710 0.577 0.368 0.574 0.682
2024/01/12 16:07:44 - mmengine - INFO - Evaluating segm...
2024/01/12 16:08:57 - mmengine - INFO - segm_mAP_copypaste: 0.357 0.624 0.356 0.204 0.403 0.544
2024/01/12 16:11:05 - mmengine - INFO - Evaluating bbox...
2024/01/12 16:12:02 - mmengine - INFO - bbox_mAP_copypaste: 0.527 0.708 0.575 0.363 0.573 0.683
2024/01/12 16:18:13 - mmengine - INFO - per class results:
2024/01/12 16:18:13 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.55 | 89.97 |
|       building      | 82.88 | 91.99 |
|         sky         | 93.61 | 97.82 |
|        floor        | 82.89 | 90.86 |
|         tree        | 74.49 | 88.04 |
|       ceiling       | 86.55 | 94.67 |
|         road        | 84.63 | 90.09 |
|         bed         | 90.89 | 96.15 |
|      windowpane     | 64.05 | 79.99 |
|        grass        | 66.74 |  81.5 |
|       cabinet       | 63.89 | 74.08 |
|       sidewalk      | 69.51 | 81.86 |
|        person       |  82.0 | 91.85 |
|        earth        | 38.48 | 51.77 |
|         door        | 56.24 | 71.42 |
|        table        | 64.98 | 80.38 |
|       mountain      | 60.96 | 77.91 |
|        plant        | 54.25 | 64.49 |
|       curtain       | 76.65 |  87.4 |
|        chair        | 62.55 | 75.92 |
|         car         | 85.44 | 92.41 |
|        water        | 60.64 | 72.75 |
|       painting      |  74.3 |  87.3 |
|         sofa        | 72.73 |  83.6 |
|        shelf        | 47.37 | 67.21 |
|        house        |  45.6 | 61.48 |
|         sea         | 60.65 | 75.46 |
|        mirror       | 69.66 | 78.53 |
|         rug         | 66.16 | 77.06 |
|        field        | 37.82 | 57.21 |
|       armchair      | 52.72 | 72.44 |
|         seat        | 67.96 | 82.45 |
|        fence        | 48.04 | 65.72 |
|         desk        | 53.96 | 69.11 |
|         rock        | 49.53 |  71.5 |
|       wardrobe      | 45.39 | 66.23 |
|         lamp        | 67.56 | 80.12 |
|       bathtub       | 80.36 | 89.85 |
|       railing       | 41.84 | 58.22 |
|       cushion       | 64.29 | 77.94 |
|         base        | 21.53 | 29.34 |
|         box         | 30.83 | 40.32 |
|        column       |  57.0 | 66.44 |
|      signboard      | 39.04 | 52.75 |
|   chest of drawers  |  39.8 | 59.85 |
|       counter       | 30.42 | 45.72 |
|         sand        | 45.18 | 68.48 |
|         sink        | 76.81 |  85.0 |
|      skyscraper     | 47.12 | 58.17 |
|      fireplace      | 76.15 | 87.95 |
|     refrigerator    | 81.89 | 86.88 |
|      grandstand     | 48.17 |  82.4 |
|         path        | 20.91 | 29.53 |
|        stairs       | 34.72 | 42.06 |
|        runway       | 74.49 | 95.34 |
|         case        | 48.85 | 62.74 |
|      pool table     | 92.24 | 95.72 |
|        pillow       | 61.55 | 71.77 |
|     screen door     | 69.98 |  73.6 |
|       stairway      |  33.9 | 43.42 |
|        river        | 14.46 | 33.72 |
|        bridge       | 68.77 | 80.03 |
|       bookcase      | 41.87 | 62.07 |
|        blind        | 38.53 | 42.99 |
|     coffee table    | 65.24 | 81.91 |
|        toilet       | 87.56 | 92.43 |
|        flower       | 43.54 | 57.18 |
|         book        |  50.2 | 68.55 |
|         hill        | 16.31 | 23.39 |
|        bench        | 61.39 | 71.72 |
|      countertop     | 63.34 | 79.66 |
|        stove        | 81.48 | 85.19 |
|         palm        | 48.52 | 71.69 |
|    kitchen island   | 48.53 | 72.44 |
|       computer      | 78.18 | 88.65 |
|     swivel chair    | 45.03 | 58.55 |
|         boat        |  65.9 | 86.83 |
|         bar         | 38.89 | 48.82 |
|    arcade machine   | 70.18 | 73.69 |
|        hovel        | 21.66 | 23.66 |
|         bus         | 86.25 | 94.81 |
|        towel        | 67.54 | 79.89 |
|        light        | 53.98 | 64.84 |
|        truck        | 50.32 | 65.94 |
|        tower        | 34.64 | 56.95 |
|      chandelier     | 68.23 | 79.66 |
|        awning       | 32.24 | 38.67 |
|     streetlight     | 34.44 | 46.78 |
|        booth        | 45.49 |  57.5 |
| television receiver | 73.94 | 85.23 |
|       airplane      | 68.63 | 76.88 |
|      dirt track     |  8.24 |  27.5 |
|       apparel       | 32.24 | 46.98 |
|         pole        | 29.36 | 44.41 |
|         land        |  2.42 |  3.3  |
|      bannister      |  15.4 |  21.3 |
|      escalator      | 26.12 | 28.29 |
|       ottoman       | 54.03 | 73.17 |
|        bottle       | 27.51 | 35.87 |
|        buffet       | 58.48 | 65.79 |
|        poster       | 31.74 | 44.14 |
|        stage        | 12.38 | 18.04 |
|         van         | 47.61 | 62.83 |
|         ship        |  8.88 |  9.36 |
|       fountain      | 21.67 | 21.97 |
|    conveyer belt    | 68.56 | 91.53 |
|        canopy       | 38.22 | 45.01 |
|        washer       | 68.23 | 72.06 |
|      plaything      | 31.64 | 39.38 |
|    swimming pool    | 67.46 | 69.22 |
|        stool        | 44.54 | 61.57 |
|        barrel       | 22.29 | 77.93 |
|        basket       | 35.48 | 46.63 |
|      waterfall      | 66.49 | 88.06 |
|         tent        | 71.42 | 97.36 |
|         bag         | 25.01 | 33.57 |
|       minibike      | 73.44 | 84.33 |
|        cradle       |  84.9 | 96.38 |
|         oven        | 51.37 | 62.27 |
|         ball        | 49.29 | 62.25 |
|         food        | 54.02 | 58.51 |
|         step        | 11.85 | 14.91 |
|         tank        | 50.11 | 53.86 |
|      trade name     | 28.45 | 35.31 |
|      microwave      | 86.98 | 93.97 |
|         pot         | 50.38 | 59.15 |
|        animal       |  64.0 |  67.9 |
|       bicycle       | 58.81 | 74.14 |
|         lake        | 58.29 |  64.5 |
|      dishwasher     | 74.97 | 86.31 |
|        screen       | 64.69 | 85.56 |
|       blanket       | 30.92 | 37.57 |
|      sculpture      | 68.28 | 81.76 |
|         hood        | 65.68 | 72.86 |
|        sconce       | 47.91 |  59.1 |
|         vase        | 45.59 | 62.21 |
|    traffic light    | 40.88 | 56.92 |
|         tray        | 20.35 | 29.76 |
|        ashcan       | 45.27 | 56.03 |
|         fan         | 64.25 |  76.2 |
|         pier        | 39.47 | 43.98 |
|      crt screen     |  5.28 | 14.39 |
|        plate        | 58.48 | 77.15 |
|       monitor       |  7.73 |  8.73 |
|    bulletin board   | 57.51 | 67.37 |
|        shower       |  3.56 |  5.68 |
|       radiator      | 61.18 | 72.15 |
|        glass        | 19.12 |  21.1 |
|        clock        | 40.68 | 48.89 |
|         flag        | 44.11 | 51.08 |
+---------------------+-------+-------+
2024/01/12 16:18:25 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5270  coco/bbox_mAP_50: 0.7080  coco/bbox_mAP_75: 0.5750  coco/bbox_mAP_s: 0.3630  coco/bbox_mAP_m: 0.5730  coco/bbox_mAP_l: 0.6830  coco/segm_mAP: 0.3570  coco/segm_mAP_50: 0.6240  coco/segm_mAP_75: 0.3560  coco/segm_mAP_s: 0.2040  coco/segm_mAP_m: 0.4030  coco/segm_mAP_l: 0.5440  Bleu_1: 0.7744  Bleu_2: 0.6158  Bleu_3: 0.4756  Bleu_4: 0.3634  METEOR: 0.2838  ROUGE_L: 0.5750  CIDEr: 1.1833  SPICE: 0.2102  aAcc: 84.4700  mIoU: 52.4500  mAcc: 64.2700  visual-grounding/miou: 0.8371  visual-grounding/acc: 0.8915  data_time: 0.0116  time: 1.9035
2024/01/12 16:29:47 - mmengine - INFO - Iter(train) [580500/640000]  base_lr: 4.2351e-06 lr: 4.2351e-07  eta: 23:16:43  time: 1.3745  data_time: 0.0201  memory: 34732  grad_norm: 3.7168  loss: 1.0508  caption_loss_cls: 1.8582  detection_loss_cls: 0.0233  detection_loss_reg: 0.3090  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8806  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3070  instance_segmentation_loss_poly: 0.8101
2024/01/12 16:41:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 16:41:31 - mmengine - INFO - Iter(train) [581000/640000]  base_lr: 4.1648e-06 lr: 4.1648e-07  eta: 23:04:58  time: 1.3829  data_time: 0.0203  memory: 25638  grad_norm: 3.7094  loss: 1.0425  caption_loss_cls: 1.8558  detection_loss_cls: 0.0233  detection_loss_reg: 0.3083  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8754  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3056  instance_segmentation_loss_poly: 0.8091
2024/01/12 16:52:44 - mmengine - INFO - Iter(train) [581500/640000]  base_lr: 4.0950e-06 lr: 4.0950e-07  eta: 22:52:06  time: 1.3815  data_time: 0.0203  memory: 25638  grad_norm: 3.7468  loss: 1.0458  caption_loss_cls: 1.8493  detection_loss_cls: 0.0236  detection_loss_reg: 0.3097  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8737  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3061  instance_segmentation_loss_poly: 0.8095
2024/01/12 17:04:33 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 17:04:33 - mmengine - INFO - Iter(train) [582000/640000]  base_lr: 4.0257e-06 lr: 4.0257e-07  eta: 22:40:33  time: 1.3864  data_time: 0.0204  memory: 25638  grad_norm: 3.7013  loss: 1.0368  caption_loss_cls: 1.8467  detection_loss_cls: 0.0235  detection_loss_reg: 0.3087  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8714  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3056  instance_segmentation_loss_poly: 0.8088
2024/01/12 17:04:33 - mmengine - INFO - Saving checkpoint at 582000 iterations
2024/01/12 17:17:02 - mmengine - INFO - Iter(train) [582500/640000]  base_lr: 3.9571e-06 lr: 3.9571e-07  eta: 22:30:20  time: 1.3923  data_time: 0.0205  memory: 25638  grad_norm: 3.6952  loss: 1.0342  caption_loss_cls: 1.8415  detection_loss_cls: 0.0235  detection_loss_reg: 0.3074  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8685  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3060  instance_segmentation_loss_poly: 0.8079
2024/01/12 17:28:36 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 17:28:36 - mmengine - INFO - Iter(train) [583000/640000]  base_lr: 3.8890e-06 lr: 3.8890e-07  eta: 22:18:13  time: 1.3828  data_time: 0.0206  memory: 25638  grad_norm: 3.7365  loss: 1.0434  caption_loss_cls: 1.8438  detection_loss_cls: 0.0235  detection_loss_reg: 0.3077  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8696  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3058  instance_segmentation_loss_poly: 0.8074
2024/01/12 17:40:18 - mmengine - INFO - Iter(train) [583500/640000]  base_lr: 3.8215e-06 lr: 3.8215e-07  eta: 22:06:23  time: 1.3906  data_time: 0.0206  memory: 25638  grad_norm: 3.6821  loss: 1.0327  caption_loss_cls: 1.8464  detection_loss_cls: 0.0237  detection_loss_reg: 0.3085  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8675  instance_segmentation_loss_cls: 0.0233  instance_segmentation_loss_reg: 0.3078  instance_segmentation_loss_poly: 0.8112
2024/01/12 17:52:46 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 17:52:46 - mmengine - INFO - Iter(train) [584000/640000]  base_lr: 3.7546e-06 lr: 3.7546e-07  eta: 21:55:59  time: 1.4146  data_time: 0.0210  memory: 25638  grad_norm: 3.5861  loss: 1.0279  caption_loss_cls: 1.8469  detection_loss_cls: 0.0236  detection_loss_reg: 0.3067  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8708  instance_segmentation_loss_cls: 0.0233  instance_segmentation_loss_reg: 0.3077  instance_segmentation_loss_poly: 0.8116
2024/01/12 17:52:46 - mmengine - INFO - Saving checkpoint at 584000 iterations
2024/01/12 18:04:30 - mmengine - INFO - Iter(train) [584500/640000]  base_lr: 3.6883e-06 lr: 3.6883e-07  eta: 21:44:11  time: 1.4198  data_time: 0.0275  memory: 25638  grad_norm: 3.5918  loss: 1.0363  caption_loss_cls: 1.8454  detection_loss_cls: 0.0237  detection_loss_reg: 0.3085  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8703  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3060  instance_segmentation_loss_poly: 0.8097
2024/01/12 18:16:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 18:16:22 - mmengine - INFO - Iter(train) [585000/640000]  base_lr: 3.6225e-06 lr: 3.6225e-07  eta: 21:32:37  time: 1.4216  data_time: 0.0276  memory: 25638  grad_norm: 3.5794  loss: 1.0387  caption_loss_cls: 1.8434  detection_loss_cls: 0.0236  detection_loss_reg: 0.3075  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8707  instance_segmentation_loss_cls: 0.0232  instance_segmentation_loss_reg: 0.3067  instance_segmentation_loss_poly: 0.8115
2024/01/12 18:27:25 - mmengine - INFO - Iter(train) [585500/640000]  base_lr: 3.5574e-06 lr: 3.5574e-07  eta: 21:19:40  time: 1.4193  data_time: 0.0274  memory: 25638  grad_norm: 3.5627  loss: 1.0290  caption_loss_cls: 1.8404  detection_loss_cls: 0.0236  detection_loss_reg: 0.3064  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8688  instance_segmentation_loss_cls: 0.0231  instance_segmentation_loss_reg: 0.3057  instance_segmentation_loss_poly: 0.8095
2024/01/12 18:39:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 18:39:45 - mmengine - INFO - Iter(train) [586000/640000]  base_lr: 3.4928e-06 lr: 3.4928e-07  eta: 21:08:53  time: 1.4268  data_time: 0.0283  memory: 25638  grad_norm: 3.5506  loss: 1.0284  caption_loss_cls: 1.8408  detection_loss_cls: 0.0236  detection_loss_reg: 0.3050  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8654  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3048  instance_segmentation_loss_poly: 0.8073
2024/01/12 18:39:45 - mmengine - INFO - Saving checkpoint at 586000 iterations
2024/01/12 18:51:42 - mmengine - INFO - Iter(train) [586500/640000]  base_lr: 3.4288e-06 lr: 3.4288e-07  eta: 20:57:29  time: 1.4189  data_time: 0.0281  memory: 25638  grad_norm: 3.5816  loss: 1.0323  caption_loss_cls: 1.8456  detection_loss_cls: 0.0236  detection_loss_reg: 0.3052  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8679  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3040  instance_segmentation_loss_poly: 0.8056
2024/01/12 19:03:18 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 19:03:18 - mmengine - INFO - Iter(train) [587000/640000]  base_lr: 3.3653e-06 lr: 3.3653e-07  eta: 20:45:27  time: 1.4193  data_time: 0.0281  memory: 25638  grad_norm: 3.5682  loss: 1.0347  caption_loss_cls: 1.8460  detection_loss_cls: 0.0235  detection_loss_reg: 0.3043  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8685  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3035  instance_segmentation_loss_poly: 0.8034
2024/01/12 19:15:08 - mmengine - INFO - Iter(train) [587500/640000]  base_lr: 3.3025e-06 lr: 3.3025e-07  eta: 20:33:49  time: 1.4214  data_time: 0.0280  memory: 25638  grad_norm: 3.5607  loss: 1.0343  caption_loss_cls: 1.8478  detection_loss_cls: 0.0234  detection_loss_reg: 0.3046  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8716  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3036  instance_segmentation_loss_poly: 0.8027
2024/01/12 19:26:33 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 19:26:33 - mmengine - INFO - Iter(train) [588000/640000]  base_lr: 3.2402e-06 lr: 3.2402e-07  eta: 20:21:33  time: 1.4057  data_time: 0.0277  memory: 25638  grad_norm: 3.5857  loss: 1.0298  caption_loss_cls: 1.8445  detection_loss_cls: 0.0233  detection_loss_reg: 0.3048  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8707  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3031  instance_segmentation_loss_poly: 0.8025
2024/01/12 19:26:33 - mmengine - INFO - Saving checkpoint at 588000 iterations
2024/01/12 19:38:25 - mmengine - INFO - Iter(train) [588500/640000]  base_lr: 3.1785e-06 lr: 3.1785e-07  eta: 20:09:59  time: 1.4078  data_time: 0.0278  memory: 25638  grad_norm: 3.5843  loss: 1.0311  caption_loss_cls: 1.8411  detection_loss_cls: 0.0234  detection_loss_reg: 0.3055  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8704  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3035  instance_segmentation_loss_poly: 0.8037
2024/01/12 19:49:57 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 19:49:57 - mmengine - INFO - Iter(train) [589000/640000]  base_lr: 3.1174e-06 lr: 3.1174e-07  eta: 19:57:54  time: 1.4028  data_time: 0.0276  memory: 25638  grad_norm: 3.5762  loss: 1.0233  caption_loss_cls: 1.8401  detection_loss_cls: 0.0233  detection_loss_reg: 0.3044  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8667  instance_segmentation_loss_cls: 0.0229  instance_segmentation_loss_reg: 0.3026  instance_segmentation_loss_poly: 0.8014
2024/01/12 20:01:31 - mmengine - INFO - Iter(train) [589500/640000]  base_lr: 3.0569e-06 lr: 3.0569e-07  eta: 19:45:53  time: 1.4103  data_time: 0.0278  memory: 25638  grad_norm: 3.5462  loss: 1.0261  caption_loss_cls: 1.8381  detection_loss_cls: 0.0233  detection_loss_reg: 0.3048  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8714  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3041  instance_segmentation_loss_poly: 0.8049
2024/01/12 20:13:10 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 20:13:10 - mmengine - INFO - Iter(train) [590000/640000]  base_lr: 2.9970e-06 lr: 2.9970e-07  eta: 19:34:00  time: 1.4002  data_time: 0.0269  memory: 25638  grad_norm: 3.6497  loss: 1.0317  caption_loss_cls: 1.8374  detection_loss_cls: 0.0232  detection_loss_reg: 0.3046  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8703  instance_segmentation_loss_cls: 0.0230  instance_segmentation_loss_reg: 0.3044  instance_segmentation_loss_poly: 0.8058
2024/01/12 20:13:10 - mmengine - INFO - Saving checkpoint at 590000 iterations
2024/01/12 20:25:23 - mmengine - INFO - Iter(train) [590500/640000]  base_lr: 2.9376e-06 lr: 2.9376e-07  eta: 19:22:54  time: 1.4041  data_time: 0.0272  memory: 25638  grad_norm: 3.6546  loss: 1.0307  caption_loss_cls: 1.8358  detection_loss_cls: 0.0232  detection_loss_reg: 0.3038  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8702  instance_segmentation_loss_cls: 0.0228  instance_segmentation_loss_reg: 0.3029  instance_segmentation_loss_poly: 0.8034
2024/01/12 20:37:26 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 20:37:26 - mmengine - INFO - Iter(train) [591000/640000]  base_lr: 2.8789e-06 lr: 2.8789e-07  eta: 19:11:32  time: 1.4109  data_time: 0.0273  memory: 25638  grad_norm: 3.6176  loss: 1.0218  caption_loss_cls: 1.8368  detection_loss_cls: 0.0235  detection_loss_reg: 0.3049  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8664  instance_segmentation_loss_cls: 0.0228  instance_segmentation_loss_reg: 0.3026  instance_segmentation_loss_poly: 0.8027
2024/01/12 20:48:59 - mmengine - INFO - Iter(train) [591500/640000]  base_lr: 2.8207e-06 lr: 2.8207e-07  eta: 18:59:32  time: 1.4068  data_time: 0.0273  memory: 25638  grad_norm: 3.6221  loss: 1.0264  caption_loss_cls: 1.8415  detection_loss_cls: 0.0235  detection_loss_reg: 0.3046  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8645  instance_segmentation_loss_cls: 0.0228  instance_segmentation_loss_reg: 0.3027  instance_segmentation_loss_poly: 0.8029
2024/01/12 21:00:18 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 21:00:18 - mmengine - INFO - Iter(train) [592000/640000]  base_lr: 2.7631e-06 lr: 2.7631e-07  eta: 18:47:13  time: 1.4051  data_time: 0.0272  memory: 25638  grad_norm: 3.6372  loss: 1.0315  caption_loss_cls: 1.8461  detection_loss_cls: 0.0234  detection_loss_reg: 0.3026  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8671  instance_segmentation_loss_cls: 0.0228  instance_segmentation_loss_reg: 0.3013  instance_segmentation_loss_poly: 0.7998
2024/01/12 21:00:18 - mmengine - INFO - Saving checkpoint at 592000 iterations
2024/01/12 21:12:43 - mmengine - INFO - Iter(train) [592500/640000]  base_lr: 2.7061e-06 lr: 2.7061e-07  eta: 18:36:17  time: 1.4132  data_time: 0.0273  memory: 25638  grad_norm: 3.6052  loss: 1.0236  caption_loss_cls: 1.8378  detection_loss_cls: 0.0234  detection_loss_reg: 0.3031  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8677  instance_segmentation_loss_cls: 0.0228  instance_segmentation_loss_reg: 0.3013  instance_segmentation_loss_poly: 0.8002
2024/01/12 21:23:52 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 21:23:52 - mmengine - INFO - Iter(train) [593000/640000]  base_lr: 2.6497e-06 lr: 2.6497e-07  eta: 18:23:49  time: 1.4077  data_time: 0.0272  memory: 25638  grad_norm: 3.6650  loss: 1.0325  caption_loss_cls: 1.8397  detection_loss_cls: 0.0233  detection_loss_reg: 0.3018  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8720  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2986  instance_segmentation_loss_poly: 0.7942
2024/01/12 21:35:48 - mmengine - INFO - Iter(train) [593500/640000]  base_lr: 2.5939e-06 lr: 2.5939e-07  eta: 18:12:17  time: 1.4132  data_time: 0.0271  memory: 25638  grad_norm: 3.6239  loss: 1.0156  caption_loss_cls: 1.8399  detection_loss_cls: 0.0231  detection_loss_reg: 0.3007  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8690  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2973  instance_segmentation_loss_poly: 0.7919
2024/01/12 21:47:33 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 21:47:33 - mmengine - INFO - Iter(train) [594000/640000]  base_lr: 2.5386e-06 lr: 2.5386e-07  eta: 18:00:32  time: 1.4146  data_time: 0.0272  memory: 25638  grad_norm: 3.5676  loss: 1.0189  caption_loss_cls: 1.8348  detection_loss_cls: 0.0232  detection_loss_reg: 0.3007  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8689  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2987  instance_segmentation_loss_poly: 0.7931
2024/01/12 21:47:33 - mmengine - INFO - Saving checkpoint at 594000 iterations
2024/01/12 21:59:30 - mmengine - INFO - Iter(train) [594500/640000]  base_lr: 2.4840e-06 lr: 2.4840e-07  eta: 17:49:00  time: 1.4105  data_time: 0.0272  memory: 25638  grad_norm: 3.5651  loss: 1.0257  caption_loss_cls: 1.8413  detection_loss_cls: 0.0233  detection_loss_reg: 0.3014  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8648  instance_segmentation_loss_cls: 0.0226  instance_segmentation_loss_reg: 0.2990  instance_segmentation_loss_poly: 0.7945
2024/01/12 22:10:53 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 22:10:53 - mmengine - INFO - Iter(train) [595000/640000]  base_lr: 2.4299e-06 lr: 2.4299e-07  eta: 17:36:51  time: 1.4008  data_time: 0.0270  memory: 25638  grad_norm: 3.6148  loss: 1.0255  caption_loss_cls: 1.8384  detection_loss_cls: 0.0233  detection_loss_reg: 0.3007  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8598  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2969  instance_segmentation_loss_poly: 0.7902
2024/01/12 22:22:30 - mmengine - INFO - Iter(train) [595500/640000]  base_lr: 2.3764e-06 lr: 2.3764e-07  eta: 17:24:57  time: 1.4015  data_time: 0.0269  memory: 25638  grad_norm: 3.6139  loss: 1.0136  caption_loss_cls: 1.8341  detection_loss_cls: 0.0233  detection_loss_reg: 0.3000  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8578  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2955  instance_segmentation_loss_poly: 0.7885
2024/01/12 22:33:51 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 22:33:51 - mmengine - INFO - Iter(train) [596000/640000]  base_lr: 2.3235e-06 lr: 2.3235e-07  eta: 17:12:48  time: 1.4022  data_time: 0.0270  memory: 25638  grad_norm: 3.5989  loss: 1.0122  caption_loss_cls: 1.8306  detection_loss_cls: 0.0233  detection_loss_reg: 0.2992  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8579  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2947  instance_segmentation_loss_poly: 0.7869
2024/01/12 22:33:51 - mmengine - INFO - Saving checkpoint at 596000 iterations
2024/01/12 22:45:57 - mmengine - INFO - Iter(train) [596500/640000]  base_lr: 2.2712e-06 lr: 2.2712e-07  eta: 17:01:26  time: 1.3975  data_time: 0.0271  memory: 25638  grad_norm: 3.5908  loss: 1.0182  caption_loss_cls: 1.8310  detection_loss_cls: 0.0232  detection_loss_reg: 0.2989  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8591  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2957  instance_segmentation_loss_poly: 0.7904
2024/01/12 22:57:54 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 22:57:54 - mmengine - INFO - Iter(train) [597000/640000]  base_lr: 2.2195e-06 lr: 2.2195e-07  eta: 16:49:53  time: 1.4092  data_time: 0.0273  memory: 25638  grad_norm: 3.5718  loss: 1.0182  caption_loss_cls: 1.8292  detection_loss_cls: 0.0233  detection_loss_reg: 0.2995  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8534  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2953  instance_segmentation_loss_poly: 0.7896
2024/01/12 23:09:40 - mmengine - INFO - Iter(train) [597500/640000]  base_lr: 2.1684e-06 lr: 2.1684e-07  eta: 16:38:09  time: 1.4068  data_time: 0.0273  memory: 25638  grad_norm: 3.5991  loss: 1.0204  caption_loss_cls: 1.8319  detection_loss_cls: 0.0232  detection_loss_reg: 0.2985  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8524  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2940  instance_segmentation_loss_poly: 0.7861
2024/01/12 23:21:27 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 23:21:27 - mmengine - INFO - Iter(train) [598000/640000]  base_lr: 2.1178e-06 lr: 2.1178e-07  eta: 16:26:26  time: 1.4074  data_time: 0.0273  memory: 25638  grad_norm: 3.6281  loss: 1.0157  caption_loss_cls: 1.8296  detection_loss_cls: 0.0233  detection_loss_reg: 0.2986  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8526  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2947  instance_segmentation_loss_poly: 0.7879
2024/01/12 23:21:27 - mmengine - INFO - Saving checkpoint at 598000 iterations
2024/01/12 23:33:45 - mmengine - INFO - Iter(train) [598500/640000]  base_lr: 2.0679e-06 lr: 2.0679e-07  eta: 16:15:13  time: 1.4128  data_time: 0.0271  memory: 25638  grad_norm: 3.5768  loss: 1.0100  caption_loss_cls: 1.8306  detection_loss_cls: 0.0232  detection_loss_reg: 0.2974  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8524  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2953  instance_segmentation_loss_poly: 0.7901
2024/01/12 23:45:21 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/12 23:45:21 - mmengine - INFO - Iter(train) [599000/640000]  base_lr: 2.0185e-06 lr: 2.0185e-07  eta: 16:03:19  time: 1.4158  data_time: 0.0272  memory: 25638  grad_norm: 3.5872  loss: 1.0224  caption_loss_cls: 1.8287  detection_loss_cls: 0.0232  detection_loss_reg: 0.2966  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8549  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2966  instance_segmentation_loss_poly: 0.7923
2024/01/12 23:57:15 - mmengine - INFO - Iter(train) [599500/640000]  base_lr: 1.9697e-06 lr: 1.9697e-07  eta: 15:51:42  time: 1.4202  data_time: 0.0274  memory: 25638  grad_norm: 3.5927  loss: 1.0217  caption_loss_cls: 1.8275  detection_loss_cls: 0.0232  detection_loss_reg: 0.2971  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8515  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2960  instance_segmentation_loss_poly: 0.7910
2024/01/13 00:08:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 00:08:44 - mmengine - INFO - Iter(train) [600000/640000]  base_lr: 1.9216e-06 lr: 1.9216e-07  eta: 15:39:42  time: 1.4220  data_time: 0.0274  memory: 25638  grad_norm: 3.6199  loss: 1.0153  caption_loss_cls: 1.8238  detection_loss_cls: 0.0230  detection_loss_reg: 0.2957  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8514  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2951  instance_segmentation_loss_poly: 0.7897
2024/01/13 00:08:44 - mmengine - INFO - Saving checkpoint at 600000 iterations
2024/01/13 00:20:32 - mmengine - INFO - Evaluating bbox...
2024/01/13 00:21:29 - mmengine - INFO - bbox_mAP_copypaste: 0.529 0.709 0.579 0.370 0.576 0.684
2024/01/13 00:21:29 - mmengine - INFO - Evaluating segm...
2024/01/13 00:22:42 - mmengine - INFO - segm_mAP_copypaste: 0.359 0.626 0.356 0.207 0.404 0.547
2024/01/13 00:24:50 - mmengine - INFO - Evaluating bbox...
2024/01/13 00:25:48 - mmengine - INFO - bbox_mAP_copypaste: 0.527 0.708 0.576 0.366 0.573 0.683
2024/01/13 00:32:11 - mmengine - INFO - per class results:
2024/01/13 00:32:11 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.44 | 90.06 |
|       building      | 82.96 | 91.88 |
|         sky         | 93.56 | 97.91 |
|        floor        | 82.64 | 90.97 |
|         tree        | 74.61 | 87.57 |
|       ceiling       | 86.43 | 94.69 |
|         road        | 84.72 | 89.95 |
|         bed         | 90.89 | 95.96 |
|      windowpane     | 63.79 |  80.0 |
|        grass        | 66.82 | 81.79 |
|       cabinet       | 63.71 | 74.03 |
|       sidewalk      | 69.59 | 82.46 |
|        person       | 82.06 | 91.92 |
|        earth        | 38.55 | 51.69 |
|         door        | 55.74 | 71.29 |
|        table        | 64.81 | 79.95 |
|       mountain      | 60.87 | 77.27 |
|        plant        | 54.11 | 64.07 |
|       curtain       | 76.71 | 87.51 |
|        chair        |  62.8 | 75.95 |
|         car         | 85.43 | 92.24 |
|        water        | 60.42 | 73.05 |
|       painting      | 74.47 | 87.57 |
|         sofa        | 72.95 | 83.48 |
|        shelf        | 47.15 | 67.64 |
|        house        | 46.39 | 62.08 |
|         sea         | 61.61 | 76.82 |
|        mirror       | 69.55 | 78.08 |
|         rug         | 64.54 | 74.37 |
|        field        | 38.94 | 59.43 |
|       armchair      | 53.23 | 72.61 |
|         seat        | 67.42 | 82.37 |
|        fence        | 47.62 | 64.89 |
|         desk        | 53.37 | 70.22 |
|         rock        | 48.85 | 69.04 |
|       wardrobe      | 45.94 | 66.13 |
|         lamp        |  67.7 | 80.09 |
|       bathtub       | 80.07 | 89.31 |
|       railing       | 41.76 | 58.51 |
|       cushion       | 65.27 | 80.03 |
|         base        | 21.38 | 29.66 |
|         box         | 30.56 | 39.44 |
|        column       | 57.05 | 66.69 |
|      signboard      | 39.21 | 53.01 |
|   chest of drawers  | 38.42 | 58.39 |
|       counter       | 29.83 | 41.97 |
|         sand        | 46.49 | 68.25 |
|         sink        |  76.6 |  84.9 |
|      skyscraper     | 47.08 | 58.72 |
|      fireplace      | 76.14 | 87.82 |
|     refrigerator    | 81.64 | 86.31 |
|      grandstand     | 48.24 | 82.36 |
|         path        | 22.21 | 31.93 |
|        stairs       | 33.44 | 40.45 |
|        runway       | 74.37 | 95.37 |
|         case        | 51.62 | 66.68 |
|      pool table     | 92.18 |  95.7 |
|        pillow       | 61.25 |  70.5 |
|     screen door     | 69.45 |  72.6 |
|       stairway      | 35.17 | 45.38 |
|        river        |  14.9 | 34.04 |
|        bridge       | 67.94 | 78.03 |
|       bookcase      | 42.28 | 61.99 |
|        blind        | 38.64 | 43.17 |
|     coffee table    | 65.27 | 81.95 |
|        toilet       | 87.48 | 92.19 |
|        flower       | 43.62 | 56.93 |
|         book        | 50.17 | 69.47 |
|         hill        | 15.63 | 23.19 |
|        bench        | 61.52 | 70.88 |
|      countertop     | 63.59 | 80.17 |
|        stove        |  81.2 | 85.06 |
|         palm        |  49.4 | 73.17 |
|    kitchen island   | 47.77 | 70.11 |
|       computer      | 78.14 | 88.98 |
|     swivel chair    | 45.08 | 59.04 |
|         boat        | 66.25 |  87.3 |
|         bar         | 37.89 | 48.01 |
|    arcade machine   | 68.38 | 71.95 |
|        hovel        | 26.74 |  29.2 |
|         bus         | 86.19 | 94.74 |
|        towel        | 67.16 | 79.15 |
|        light        | 53.53 | 63.95 |
|        truck        |  50.1 | 66.27 |
|        tower        | 36.23 | 60.21 |
|      chandelier     | 68.02 | 78.69 |
|        awning       | 33.07 | 40.91 |
|     streetlight     | 34.76 | 46.58 |
|        booth        |  42.1 | 55.34 |
| television receiver | 75.57 | 87.98 |
|       airplane      | 68.24 | 75.37 |
|      dirt track     |  9.2  | 27.46 |
|       apparel       |  32.9 | 47.77 |
|         pole        | 29.57 | 44.71 |
|         land        |  2.45 |  3.32 |
|      bannister      | 15.91 | 21.76 |
|      escalator      | 25.82 | 28.01 |
|       ottoman       | 55.07 | 72.68 |
|        bottle       | 27.83 | 35.88 |
|        buffet       | 56.48 | 63.92 |
|        poster       | 32.53 | 45.47 |
|        stage        | 12.26 | 17.63 |
|         van         |  48.2 | 63.39 |
|         ship        |  8.92 |  9.42 |
|       fountain      | 21.07 | 21.33 |
|    conveyer belt    |  68.5 |  91.6 |
|        canopy       | 36.45 | 43.08 |
|        washer       | 68.37 | 71.73 |
|      plaything      | 33.96 | 43.29 |
|    swimming pool    | 68.19 | 69.91 |
|        stool        | 44.42 | 61.15 |
|        barrel       | 22.89 | 70.52 |
|        basket       | 35.09 | 46.02 |
|      waterfall      | 65.67 | 86.83 |
|         tent        | 72.07 | 97.46 |
|         bag         | 25.03 | 33.76 |
|       minibike      | 73.64 |  85.2 |
|        cradle       | 84.39 | 96.39 |
|         oven        | 52.12 | 63.61 |
|         ball        | 48.73 | 61.59 |
|         food        | 53.57 | 58.05 |
|         step        | 10.44 | 12.92 |
|         tank        | 50.06 | 53.68 |
|      trade name     | 28.89 | 37.56 |
|      microwave      | 87.06 |  93.9 |
|         pot         | 49.58 | 58.32 |
|        animal       | 63.33 | 67.17 |
|       bicycle       |  58.9 | 74.25 |
|         lake        | 58.41 | 64.76 |
|      dishwasher     | 72.11 | 87.52 |
|        screen       | 60.85 | 77.89 |
|       blanket       |  30.8 | 37.34 |
|      sculpture      |  69.0 | 81.61 |
|         hood        | 64.54 | 73.01 |
|        sconce       | 46.53 | 57.86 |
|         vase        | 44.88 | 62.58 |
|    traffic light    |  41.1 | 59.55 |
|         tray        | 20.74 | 29.89 |
|        ashcan       | 45.07 | 57.12 |
|         fan         | 63.63 | 74.58 |
|         pier        | 44.19 | 49.03 |
|      crt screen     |  7.18 | 21.74 |
|        plate        | 58.93 | 77.34 |
|       monitor       |  9.27 | 10.46 |
|    bulletin board   |  58.2 | 68.23 |
|        shower       |  3.25 |  4.52 |
|       radiator      | 61.45 | 71.61 |
|        glass        | 19.14 | 21.22 |
|        clock        | 40.39 | 48.75 |
|         flag        | 44.43 | 51.91 |
+---------------------+-------+-------+
2024/01/13 00:32:24 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5270  coco/bbox_mAP_50: 0.7080  coco/bbox_mAP_75: 0.5760  coco/bbox_mAP_s: 0.3660  coco/bbox_mAP_m: 0.5730  coco/bbox_mAP_l: 0.6830  coco/segm_mAP: 0.3590  coco/segm_mAP_50: 0.6260  coco/segm_mAP_75: 0.3560  coco/segm_mAP_s: 0.2070  coco/segm_mAP_m: 0.4040  coco/segm_mAP_l: 0.5470  Bleu_1: 0.7754  Bleu_2: 0.6149  Bleu_3: 0.4745  Bleu_4: 0.3624  METEOR: 0.2845  ROUGE_L: 0.5756  CIDEr: 1.1872  SPICE: 0.2115  aAcc: 84.4500  mIoU: 52.4700  mAcc: 64.3000  visual-grounding/miou: 0.8372  visual-grounding/acc: 0.8913  data_time: 0.0114  time: 1.9115
2024/01/13 00:44:17 - mmengine - INFO - Iter(train) [600500/640000]  base_lr: 1.8740e-06 lr: 1.8740e-07  eta: 15:28:06  time: 1.4195  data_time: 0.0206  memory: 34732  grad_norm: 3.6132  loss: 0.9996  caption_loss_cls: 1.8197  detection_loss_cls: 0.0231  detection_loss_reg: 0.2967  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8515  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2966  instance_segmentation_loss_poly: 0.7925
2024/01/13 00:55:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 00:55:56 - mmengine - INFO - Iter(train) [601000/640000]  base_lr: 1.8270e-06 lr: 1.8270e-07  eta: 15:16:15  time: 1.4150  data_time: 0.0205  memory: 25638  grad_norm: 3.5675  loss: 0.9902  caption_loss_cls: 1.8212  detection_loss_cls: 0.0230  detection_loss_reg: 0.2953  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8520  instance_segmentation_loss_cls: 0.0221  instance_segmentation_loss_reg: 0.2964  instance_segmentation_loss_poly: 0.7913
2024/01/13 01:07:31 - mmengine - INFO - Iter(train) [601500/640000]  base_lr: 1.7806e-06 lr: 1.7806e-07  eta: 15:04:23  time: 1.4123  data_time: 0.0206  memory: 25638  grad_norm: 3.5956  loss: 0.9993  caption_loss_cls: 1.8204  detection_loss_cls: 0.0229  detection_loss_reg: 0.2943  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8520  instance_segmentation_loss_cls: 0.0221  instance_segmentation_loss_reg: 0.2944  instance_segmentation_loss_poly: 0.7857
2024/01/13 01:19:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 01:19:44 - mmengine - INFO - Iter(train) [602000/640000]  base_lr: 1.7348e-06 lr: 1.7348e-07  eta: 14:52:59  time: 1.4186  data_time: 0.0207  memory: 25638  grad_norm: 3.5508  loss: 1.0034  caption_loss_cls: 1.8207  detection_loss_cls: 0.0229  detection_loss_reg: 0.2950  semantic_segmentation_loss_cls: 0.0061  grounding_loss_reg: 1.8542  instance_segmentation_loss_cls: 0.0221  instance_segmentation_loss_reg: 0.2950  instance_segmentation_loss_poly: 0.7859
2024/01/13 01:19:44 - mmengine - INFO - Saving checkpoint at 602000 iterations
2024/01/13 01:31:53 - mmengine - INFO - Iter(train) [602500/640000]  base_lr: 1.6895e-06 lr: 1.6895e-07  eta: 14:41:32  time: 1.4163  data_time: 0.0208  memory: 25638  grad_norm: 3.6031  loss: 1.0091  caption_loss_cls: 1.8238  detection_loss_cls: 0.0229  detection_loss_reg: 0.2957  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8537  instance_segmentation_loss_cls: 0.0220  instance_segmentation_loss_reg: 0.2947  instance_segmentation_loss_poly: 0.7854
2024/01/13 01:43:57 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 01:43:57 - mmengine - INFO - Iter(train) [603000/640000]  base_lr: 1.6449e-06 lr: 1.6449e-07  eta: 14:30:01  time: 1.4234  data_time: 0.0208  memory: 25638  grad_norm: 3.5534  loss: 0.9946  caption_loss_cls: 1.8238  detection_loss_cls: 0.0228  detection_loss_reg: 0.2943  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8512  instance_segmentation_loss_cls: 0.0220  instance_segmentation_loss_reg: 0.2941  instance_segmentation_loss_poly: 0.7837
2024/01/13 01:55:49 - mmengine - INFO - Iter(train) [603500/640000]  base_lr: 1.6009e-06 lr: 1.6009e-07  eta: 14:18:20  time: 1.4230  data_time: 0.0206  memory: 25638  grad_norm: 3.5068  loss: 0.9875  caption_loss_cls: 1.8241  detection_loss_cls: 0.0227  detection_loss_reg: 0.2940  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8522  instance_segmentation_loss_cls: 0.0220  instance_segmentation_loss_reg: 0.2921  instance_segmentation_loss_poly: 0.7805
2024/01/13 02:07:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 02:07:49 - mmengine - INFO - Iter(train) [604000/640000]  base_lr: 1.5574e-06 lr: 1.5574e-07  eta: 14:06:45  time: 1.4309  data_time: 0.0208  memory: 25638  grad_norm: 3.4543  loss: 0.9939  caption_loss_cls: 1.8289  detection_loss_cls: 0.0226  detection_loss_reg: 0.2944  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8499  instance_segmentation_loss_cls: 0.0220  instance_segmentation_loss_reg: 0.2922  instance_segmentation_loss_poly: 0.7797
2024/01/13 02:07:49 - mmengine - INFO - Saving checkpoint at 604000 iterations
2024/01/13 02:20:08 - mmengine - INFO - Iter(train) [604500/640000]  base_lr: 1.5146e-06 lr: 1.5146e-07  eta: 13:55:22  time: 1.4365  data_time: 0.0273  memory: 25638  grad_norm: 3.4745  loss: 1.0005  caption_loss_cls: 1.8270  detection_loss_cls: 0.0225  detection_loss_reg: 0.2936  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8480  instance_segmentation_loss_cls: 0.0221  instance_segmentation_loss_reg: 0.2920  instance_segmentation_loss_poly: 0.7787
2024/01/13 02:31:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 02:31:22 - mmengine - INFO - Iter(train) [605000/640000]  base_lr: 1.4723e-06 lr: 1.4723e-07  eta: 13:43:14  time: 1.4305  data_time: 0.0273  memory: 25638  grad_norm: 3.5148  loss: 1.0156  caption_loss_cls: 1.8270  detection_loss_cls: 0.0225  detection_loss_reg: 0.2932  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8486  instance_segmentation_loss_cls: 0.0220  instance_segmentation_loss_reg: 0.2913  instance_segmentation_loss_poly: 0.7765
2024/01/13 02:43:01 - mmengine - INFO - Iter(train) [605500/640000]  base_lr: 1.4307e-06 lr: 1.4307e-07  eta: 13:31:24  time: 1.4315  data_time: 0.0272  memory: 25638  grad_norm: 3.4966  loss: 1.0110  caption_loss_cls: 1.8261  detection_loss_cls: 0.0224  detection_loss_reg: 0.2931  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8503  instance_segmentation_loss_cls: 0.0220  instance_segmentation_loss_reg: 0.2912  instance_segmentation_loss_poly: 0.7757
2024/01/13 02:54:46 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 02:54:46 - mmengine - INFO - Iter(train) [606000/640000]  base_lr: 1.3896e-06 lr: 1.3896e-07  eta: 13:19:38  time: 1.4246  data_time: 0.0270  memory: 25638  grad_norm: 3.5157  loss: 1.0148  caption_loss_cls: 1.8282  detection_loss_cls: 0.0226  detection_loss_reg: 0.2944  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8529  instance_segmentation_loss_cls: 0.0221  instance_segmentation_loss_reg: 0.2911  instance_segmentation_loss_poly: 0.7747
2024/01/13 02:54:46 - mmengine - INFO - Saving checkpoint at 606000 iterations
2024/01/13 03:06:34 - mmengine - INFO - Iter(train) [606500/640000]  base_lr: 1.3491e-06 lr: 1.3491e-07  eta: 13:07:53  time: 1.4192  data_time: 0.0271  memory: 25638  grad_norm: 3.5308  loss: 1.0066  caption_loss_cls: 1.8248  detection_loss_cls: 0.0226  detection_loss_reg: 0.2937  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8544  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2926  instance_segmentation_loss_poly: 0.7780
2024/01/13 03:18:29 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 03:18:29 - mmengine - INFO - Iter(train) [607000/640000]  base_lr: 1.3092e-06 lr: 1.3092e-07  eta: 12:56:13  time: 1.4169  data_time: 0.0270  memory: 25638  grad_norm: 3.5405  loss: 1.0124  caption_loss_cls: 1.8273  detection_loss_cls: 0.0225  detection_loss_reg: 0.2929  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8553  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2913  instance_segmentation_loss_poly: 0.7752
2024/01/13 03:30:05 - mmengine - INFO - Iter(train) [607500/640000]  base_lr: 1.2699e-06 lr: 1.2699e-07  eta: 12:44:21  time: 1.4128  data_time: 0.0272  memory: 25638  grad_norm: 3.5711  loss: 1.0234  caption_loss_cls: 1.8278  detection_loss_cls: 0.0225  detection_loss_reg: 0.2916  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8565  instance_segmentation_loss_cls: 0.0221  instance_segmentation_loss_reg: 0.2911  instance_segmentation_loss_poly: 0.7745
2024/01/13 03:41:54 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 03:41:54 - mmengine - INFO - Iter(train) [608000/640000]  base_lr: 1.2312e-06 lr: 1.2312e-07  eta: 12:32:37  time: 1.4100  data_time: 0.0271  memory: 25638  grad_norm: 3.5541  loss: 1.0197  caption_loss_cls: 1.8295  detection_loss_cls: 0.0226  detection_loss_reg: 0.2915  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8583  instance_segmentation_loss_cls: 0.0221  instance_segmentation_loss_reg: 0.2917  instance_segmentation_loss_poly: 0.7752
2024/01/13 03:41:54 - mmengine - INFO - Saving checkpoint at 608000 iterations
2024/01/13 03:54:14 - mmengine - INFO - Iter(train) [608500/640000]  base_lr: 1.1931e-06 lr: 1.1931e-07  eta: 12:21:11  time: 1.4106  data_time: 0.0271  memory: 25638  grad_norm: 3.5209  loss: 1.0155  caption_loss_cls: 1.8289  detection_loss_cls: 0.0225  detection_loss_reg: 0.2898  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8562  instance_segmentation_loss_cls: 0.0221  instance_segmentation_loss_reg: 0.2915  instance_segmentation_loss_poly: 0.7753
2024/01/13 04:05:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 04:05:44 - mmengine - INFO - Iter(train) [609000/640000]  base_lr: 1.1556e-06 lr: 1.1556e-07  eta: 12:09:16  time: 1.4145  data_time: 0.0272  memory: 25638  grad_norm: 3.5295  loss: 1.0188  caption_loss_cls: 1.8334  detection_loss_cls: 0.0228  detection_loss_reg: 0.2926  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8579  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2921  instance_segmentation_loss_poly: 0.7782
2024/01/13 04:17:19 - mmengine - INFO - Iter(train) [609500/640000]  base_lr: 1.1187e-06 lr: 1.1187e-07  eta: 11:57:24  time: 1.4133  data_time: 0.0274  memory: 25638  grad_norm: 3.5408  loss: 1.0278  caption_loss_cls: 1.8301  detection_loss_cls: 0.0228  detection_loss_reg: 0.2921  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8547  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2930  instance_segmentation_loss_poly: 0.7800
2024/01/13 04:29:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 04:29:12 - mmengine - INFO - Iter(train) [610000/640000]  base_lr: 1.0824e-06 lr: 1.0824e-07  eta: 11:45:42  time: 1.4152  data_time: 0.0275  memory: 25638  grad_norm: 3.5488  loss: 1.0226  caption_loss_cls: 1.8308  detection_loss_cls: 0.0227  detection_loss_reg: 0.2910  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8569  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2933  instance_segmentation_loss_poly: 0.7797
2024/01/13 04:29:12 - mmengine - INFO - Saving checkpoint at 610000 iterations
2024/01/13 04:41:06 - mmengine - INFO - Iter(train) [610500/640000]  base_lr: 1.0467e-06 lr: 1.0467e-07  eta: 11:34:00  time: 1.4170  data_time: 0.0274  memory: 25638  grad_norm: 3.5713  loss: 1.0376  caption_loss_cls: 1.8360  detection_loss_cls: 0.0226  detection_loss_reg: 0.2900  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8608  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2928  instance_segmentation_loss_poly: 0.7773
2024/01/13 04:52:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 04:52:49 - mmengine - INFO - Iter(train) [611000/640000]  base_lr: 1.0116e-06 lr: 1.0116e-07  eta: 11:22:13  time: 1.4139  data_time: 0.0274  memory: 25638  grad_norm: 3.5965  loss: 1.0255  caption_loss_cls: 1.8322  detection_loss_cls: 0.0224  detection_loss_reg: 0.2894  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8593  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2927  instance_segmentation_loss_poly: 0.7771
2024/01/13 05:04:27 - mmengine - INFO - Iter(train) [611500/640000]  base_lr: 9.7706e-07 lr: 9.7706e-08  eta: 11:10:23  time: 1.4143  data_time: 0.0273  memory: 25638  grad_norm: 3.6008  loss: 1.0208  caption_loss_cls: 1.8298  detection_loss_cls: 0.0224  detection_loss_reg: 0.2890  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8588  instance_segmentation_loss_cls: 0.0221  instance_segmentation_loss_reg: 0.2910  instance_segmentation_loss_poly: 0.7740
2024/01/13 05:16:10 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240112_051728
2024/01/13 05:16:10 - mmengine - INFO - Iter(train) [612000/640000]  base_lr: 9.4313e-07 lr: 9.4313e-08  eta: 10:58:36  time: 1.4129  data_time: 0.0273  memory: 25638  grad_norm: 3.6666  loss: 1.0223  caption_loss_cls: 1.8295  detection_loss_cls: 0.0225  detection_loss_reg: 0.2904  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8552  instance_segmentation_loss_cls: 0.0220  instance_segmentation_loss_reg: 0.2902  instance_segmentation_loss_poly: 0.7727
2024/01/13 05:16:10 - mmengine - INFO - Saving checkpoint at 612000 iterations
2024/01/13 05:32:48 - mmengine - INFO - Iter(train) [612500/640000]  base_lr: 9.0980e-07 lr: 9.0980e-08  eta: 10:33:32  time: 1.4007  data_time: 0.0199  memory: 25573  grad_norm: 3.6571  loss: 1.0269  caption_loss_cls: 1.8309  detection_loss_cls: 0.0224  detection_loss_reg: 0.2892  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8545  instance_segmentation_loss_cls: 0.0221  instance_segmentation_loss_reg: 0.2897  instance_segmentation_loss_poly: 0.7713
2024/01/13 05:44:12 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 05:44:12 - mmengine - INFO - Iter(train) [613000/640000]  base_lr: 8.7707e-07 lr: 8.7707e-08  eta: 10:18:29  time: 1.3991  data_time: 0.0197  memory: 25573  grad_norm: 3.6635  loss: 1.0282  caption_loss_cls: 1.8330  detection_loss_cls: 0.0224  detection_loss_reg: 0.2898  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8552  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2925  instance_segmentation_loss_poly: 0.7770
2024/01/13 05:55:41 - mmengine - INFO - Iter(train) [613500/640000]  base_lr: 8.4493e-07 lr: 8.4493e-08  eta: 10:07:21  time: 1.3976  data_time: 0.0194  memory: 25573  grad_norm: 3.6727  loss: 1.0275  caption_loss_cls: 1.8391  detection_loss_cls: 0.0224  detection_loss_reg: 0.2902  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8541  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2931  instance_segmentation_loss_poly: 0.7776
2024/01/13 06:07:39 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 06:07:39 - mmengine - INFO - Iter(train) [614000/640000]  base_lr: 8.1339e-07 lr: 8.1339e-08  eta: 10:02:34  time: 1.3993  data_time: 0.0191  memory: 25573  grad_norm: 3.6741  loss: 1.0375  caption_loss_cls: 1.8379  detection_loss_cls: 0.0225  detection_loss_reg: 0.2907  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8562  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2935  instance_segmentation_loss_poly: 0.7792
2024/01/13 06:07:39 - mmengine - INFO - Saving checkpoint at 614000 iterations
2024/01/13 06:19:42 - mmengine - INFO - Iter(train) [614500/640000]  base_lr: 7.8245e-07 lr: 7.8245e-08  eta: 9:55:32  time: 1.4012  data_time: 0.0183  memory: 25573  grad_norm: 3.6583  loss: 1.0333  caption_loss_cls: 1.8362  detection_loss_cls: 0.0224  detection_loss_reg: 0.2905  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8586  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2939  instance_segmentation_loss_poly: 0.7787
2024/01/13 06:31:28 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 06:31:28 - mmengine - INFO - Iter(train) [615000/640000]  base_lr: 7.5211e-07 lr: 7.5211e-08  eta: 9:44:33  time: 1.4021  data_time: 0.0181  memory: 25573  grad_norm: 3.6344  loss: 1.0405  caption_loss_cls: 1.8338  detection_loss_cls: 0.0224  detection_loss_reg: 0.2906  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8611  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2943  instance_segmentation_loss_poly: 0.7796
2024/01/13 06:43:09 - mmengine - INFO - Iter(train) [615500/640000]  base_lr: 7.2236e-07 lr: 7.2236e-08  eta: 9:32:39  time: 1.4028  data_time: 0.0181  memory: 25573  grad_norm: 3.6462  loss: 1.0531  caption_loss_cls: 1.8361  detection_loss_cls: 0.0222  detection_loss_reg: 0.2905  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8612  instance_segmentation_loss_cls: 0.0226  instance_segmentation_loss_reg: 0.2964  instance_segmentation_loss_poly: 0.7847
2024/01/13 06:55:10 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 06:55:10 - mmengine - INFO - Iter(train) [616000/640000]  base_lr: 6.9321e-07 lr: 6.9321e-08  eta: 9:22:53  time: 1.4072  data_time: 0.0179  memory: 25573  grad_norm: 3.5851  loss: 1.0402  caption_loss_cls: 1.8349  detection_loss_cls: 0.0221  detection_loss_reg: 0.2911  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8609  instance_segmentation_loss_cls: 0.0226  instance_segmentation_loss_reg: 0.2958  instance_segmentation_loss_poly: 0.7820
2024/01/13 06:55:10 - mmengine - INFO - Saving checkpoint at 616000 iterations
2024/01/13 07:07:03 - mmengine - INFO - Iter(train) [616500/640000]  base_lr: 6.6466e-07 lr: 6.6466e-08  eta: 9:11:59  time: 1.4127  data_time: 0.0240  memory: 25573  grad_norm: 3.6533  loss: 1.0474  caption_loss_cls: 1.8361  detection_loss_cls: 0.0220  detection_loss_reg: 0.2899  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8648  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2952  instance_segmentation_loss_poly: 0.7804
2024/01/13 07:19:11 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 07:19:11 - mmengine - INFO - Iter(train) [617000/640000]  base_lr: 6.3671e-07 lr: 6.3671e-08  eta: 9:01:59  time: 1.4238  data_time: 0.0241  memory: 25573  grad_norm: 3.6093  loss: 1.0309  caption_loss_cls: 1.8363  detection_loss_cls: 0.0219  detection_loss_reg: 0.2887  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8633  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2957  instance_segmentation_loss_poly: 0.7819
2024/01/13 07:31:57 - mmengine - INFO - Iter(train) [617500/640000]  base_lr: 6.0936e-07 lr: 6.0936e-08  eta: 8:54:11  time: 1.4430  data_time: 0.0243  memory: 25573  grad_norm: 3.5739  loss: 1.0229  caption_loss_cls: 1.8377  detection_loss_cls: 0.0216  detection_loss_reg: 0.2863  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8653  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2944  instance_segmentation_loss_poly: 0.7784
2024/01/13 07:43:33 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 07:43:33 - mmengine - INFO - Iter(train) [618000/640000]  base_lr: 5.8260e-07 lr: 5.8260e-08  eta: 8:41:15  time: 1.4371  data_time: 0.0242  memory: 25573  grad_norm: 3.5680  loss: 1.0172  caption_loss_cls: 1.8374  detection_loss_cls: 0.0216  detection_loss_reg: 0.2869  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8644  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2954  instance_segmentation_loss_poly: 0.7804
2024/01/13 07:43:33 - mmengine - INFO - Saving checkpoint at 618000 iterations
2024/01/13 07:55:43 - mmengine - INFO - Iter(train) [618500/640000]  base_lr: 5.5645e-07 lr: 5.5645e-08  eta: 8:30:28  time: 1.4392  data_time: 0.0238  memory: 25573  grad_norm: 3.5577  loss: 0.9986  caption_loss_cls: 1.8321  detection_loss_cls: 0.0217  detection_loss_reg: 0.2878  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8594  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2940  instance_segmentation_loss_poly: 0.7767
2024/01/13 08:07:49 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 08:07:49 - mmengine - INFO - Iter(train) [619000/640000]  base_lr: 5.3089e-07 lr: 5.3089e-08  eta: 8:19:13  time: 1.4439  data_time: 0.0239  memory: 25573  grad_norm: 3.6275  loss: 1.0036  caption_loss_cls: 1.8337  detection_loss_cls: 0.0217  detection_loss_reg: 0.2881  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8560  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2935  instance_segmentation_loss_poly: 0.7761
2024/01/13 08:19:22 - mmengine - INFO - Iter(train) [619500/640000]  base_lr: 5.0593e-07 lr: 5.0593e-08  eta: 8:06:25  time: 1.4423  data_time: 0.0238  memory: 25573  grad_norm: 3.6375  loss: 1.0087  caption_loss_cls: 1.8325  detection_loss_cls: 0.0217  detection_loss_reg: 0.2878  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8611  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2946  instance_segmentation_loss_poly: 0.7792
2024/01/13 08:31:24 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 08:31:24 - mmengine - INFO - Iter(train) [620000/640000]  base_lr: 4.8158e-07 lr: 4.8158e-08  eta: 7:54:56  time: 1.4424  data_time: 0.0238  memory: 25573  grad_norm: 3.6550  loss: 1.0205  caption_loss_cls: 1.8378  detection_loss_cls: 0.0217  detection_loss_reg: 0.2878  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8624  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2950  instance_segmentation_loss_poly: 0.7804
2024/01/13 08:31:24 - mmengine - INFO - Saving checkpoint at 620000 iterations
2024/01/13 08:42:48 - mmengine - INFO - Evaluating bbox...
2024/01/13 08:43:45 - mmengine - INFO - bbox_mAP_copypaste: 0.529 0.710 0.578 0.369 0.574 0.685
2024/01/13 08:43:45 - mmengine - INFO - Evaluating segm...
2024/01/13 08:44:59 - mmengine - INFO - segm_mAP_copypaste: 0.358 0.625 0.357 0.206 0.405 0.546
2024/01/13 08:47:08 - mmengine - INFO - Evaluating bbox...
2024/01/13 08:48:06 - mmengine - INFO - bbox_mAP_copypaste: 0.528 0.709 0.578 0.367 0.573 0.685
2024/01/13 08:54:23 - mmengine - INFO - per class results:
2024/01/13 08:54:23 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.53 | 89.94 |
|       building      | 82.95 | 91.96 |
|         sky         | 93.59 | 97.88 |
|        floor        |  82.6 | 90.94 |
|         tree        | 74.47 |  87.6 |
|       ceiling       | 86.45 | 94.66 |
|         road        | 84.76 | 90.07 |
|         bed         | 90.87 | 96.05 |
|      windowpane     |  63.9 | 79.96 |
|        grass        | 66.87 |  81.5 |
|       cabinet       | 63.86 | 74.32 |
|       sidewalk      | 69.67 |  82.1 |
|        person       | 82.17 | 92.07 |
|        earth        | 38.18 | 50.72 |
|         door        | 56.02 | 71.47 |
|        table        |  64.8 | 80.13 |
|       mountain      | 61.06 | 77.58 |
|        plant        | 54.11 | 64.52 |
|       curtain       |  76.6 | 87.86 |
|        chair        | 62.96 | 76.16 |
|         car         |  85.5 | 92.42 |
|        water        | 60.39 | 72.95 |
|       painting      | 74.14 | 87.58 |
|         sofa        | 72.97 |  84.1 |
|        shelf        | 46.97 | 67.54 |
|        house        |  46.3 | 62.78 |
|         sea         | 61.73 | 76.79 |
|        mirror       |  69.5 | 78.41 |
|         rug         | 64.51 | 74.52 |
|        field        | 37.83 | 58.28 |
|       armchair      | 53.14 |  71.7 |
|         seat        | 67.31 | 82.38 |
|        fence        | 47.82 | 64.79 |
|         desk        | 53.48 | 70.13 |
|         rock        | 50.42 | 72.23 |
|       wardrobe      | 46.04 | 66.54 |
|         lamp        | 67.71 | 80.17 |
|       bathtub       | 80.53 | 89.74 |
|       railing       | 41.63 | 58.36 |
|       cushion       |  65.1 | 79.79 |
|         base        | 22.12 | 30.76 |
|         box         | 30.62 | 39.87 |
|        column       | 57.14 | 66.38 |
|      signboard      |  39.1 | 52.58 |
|   chest of drawers  | 37.65 | 56.73 |
|       counter       | 30.04 |  43.5 |
|         sand        | 45.95 | 68.23 |
|         sink        | 77.04 | 85.47 |
|      skyscraper     | 46.99 | 58.87 |
|      fireplace      | 75.63 | 88.29 |
|     refrigerator    | 81.45 |  86.4 |
|      grandstand     | 48.31 | 81.52 |
|         path        | 21.95 | 31.74 |
|        stairs       | 33.77 | 40.94 |
|        runway       |  74.2 | 95.12 |
|         case        | 51.01 | 65.39 |
|      pool table     | 92.22 | 95.68 |
|        pillow       | 61.29 |  70.7 |
|     screen door     | 70.55 |  73.8 |
|       stairway      | 34.52 | 44.09 |
|        river        | 14.68 | 33.64 |
|        bridge       | 68.74 | 79.57 |
|       bookcase      | 42.51 | 63.93 |
|        blind        | 38.77 | 43.74 |
|     coffee table    | 65.18 | 82.03 |
|        toilet       | 87.57 |  92.4 |
|        flower       | 43.93 |  57.3 |
|         book        | 50.35 | 69.02 |
|         hill        | 16.22 | 23.47 |
|        bench        | 61.56 | 71.48 |
|      countertop     | 63.85 | 79.18 |
|        stove        | 81.27 | 85.18 |
|         palm        | 48.93 | 72.13 |
|    kitchen island   | 47.23 | 69.47 |
|       computer      | 78.31 | 89.03 |
|     swivel chair    | 45.14 |  59.2 |
|         boat        | 66.34 | 87.91 |
|         bar         | 38.85 | 48.69 |
|    arcade machine   | 69.13 | 72.73 |
|        hovel        | 23.96 |  26.2 |
|         bus         | 86.35 | 94.92 |
|        towel        | 67.23 | 79.17 |
|        light        | 53.11 | 63.68 |
|        truck        | 50.08 | 66.32 |
|        tower        | 35.35 | 58.57 |
|      chandelier     | 68.13 | 78.61 |
|        awning       | 32.66 | 40.59 |
|     streetlight     | 34.69 | 46.93 |
|        booth        | 42.04 | 56.27 |
| television receiver | 75.34 | 87.95 |
|       airplane      | 67.71 |  75.7 |
|      dirt track     |  9.22 | 27.95 |
|       apparel       | 32.63 | 47.63 |
|         pole        | 29.47 | 44.13 |
|         land        |  3.13 |  4.2  |
|      bannister      | 15.48 | 21.15 |
|      escalator      | 25.15 | 27.07 |
|       ottoman       | 55.97 | 72.54 |
|        bottle       | 27.98 |  36.0 |
|        buffet       | 56.94 | 64.26 |
|        poster       | 32.24 | 45.24 |
|        stage        |  12.3 | 18.15 |
|         van         | 48.82 | 64.38 |
|         ship        |  9.3  |  9.8  |
|       fountain      |  21.2 | 21.46 |
|    conveyer belt    | 67.99 |  91.6 |
|        canopy       | 36.33 | 43.48 |
|        washer       | 68.34 | 72.03 |
|      plaything      | 33.51 |  42.4 |
|    swimming pool    |  67.7 | 69.33 |
|        stool        | 44.79 | 61.26 |
|        barrel       | 22.14 | 70.55 |
|        basket       | 35.33 | 46.53 |
|      waterfall      | 65.31 | 88.07 |
|         tent        | 72.08 | 97.47 |
|         bag         | 25.17 | 33.72 |
|       minibike      | 73.56 |  85.0 |
|        cradle       | 84.64 | 96.49 |
|         oven        | 51.87 |  63.1 |
|         ball        | 49.35 | 62.24 |
|         food        | 53.23 | 57.49 |
|         step        |  9.52 | 12.02 |
|         tank        | 49.34 | 52.86 |
|      trade name     | 28.47 | 35.82 |
|      microwave      | 86.72 | 94.02 |
|         pot         | 49.69 | 58.14 |
|        animal       | 64.35 | 68.51 |
|       bicycle       | 59.18 | 74.72 |
|         lake        | 58.03 | 64.58 |
|      dishwasher     | 72.28 | 87.78 |
|        screen       | 60.55 | 78.49 |
|       blanket       | 31.04 | 37.79 |
|      sculpture      |  69.8 | 81.08 |
|         hood        | 64.17 |  72.7 |
|        sconce       | 46.38 | 58.25 |
|         vase        | 44.73 |  63.0 |
|    traffic light    | 41.28 | 59.51 |
|         tray        | 20.36 | 29.53 |
|        ashcan       |  45.1 | 56.76 |
|         fan         | 63.78 |  74.7 |
|         pier        | 40.89 | 45.21 |
|      crt screen     |  6.61 | 19.73 |
|        plate        | 59.06 | 77.64 |
|       monitor       |  5.48 |  6.11 |
|    bulletin board   | 57.96 | 67.15 |
|        shower       |  3.36 |  5.16 |
|       radiator      | 61.43 | 71.65 |
|        glass        | 19.26 | 21.32 |
|        clock        |  40.8 | 49.13 |
|         flag        |  44.3 | 51.55 |
+---------------------+-------+-------+
2024/01/13 08:54:36 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5280  coco/bbox_mAP_50: 0.7090  coco/bbox_mAP_75: 0.5780  coco/bbox_mAP_s: 0.3670  coco/bbox_mAP_m: 0.5730  coco/bbox_mAP_l: 0.6850  coco/segm_mAP: 0.3580  coco/segm_mAP_50: 0.6250  coco/segm_mAP_75: 0.3570  coco/segm_mAP_s: 0.2060  coco/segm_mAP_m: 0.4050  coco/segm_mAP_l: 0.5460  Bleu_1: 0.7763  Bleu_2: 0.6156  Bleu_3: 0.4751  Bleu_4: 0.3624  METEOR: 0.2838  ROUGE_L: 0.5744  CIDEr: 1.1849  SPICE: 0.2112  aAcc: 84.4500  mIoU: 52.4000  mAcc: 64.2600  visual-grounding/miou: 0.8374  visual-grounding/acc: 0.8921  data_time: 0.0267  time: 1.9124
2024/01/13 09:06:08 - mmengine - INFO - Iter(train) [620500/640000]  base_lr: 4.5782e-07 lr: 4.5782e-08  eta: 7:42:21  time: 1.4377  data_time: 0.0186  memory: 34667  grad_norm: 3.6987  loss: 1.0218  caption_loss_cls: 1.8403  detection_loss_cls: 0.0218  detection_loss_reg: 0.2881  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8651  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2941  instance_segmentation_loss_poly: 0.7784
2024/01/13 09:17:45 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 09:17:45 - mmengine - INFO - Iter(train) [621000/640000]  base_lr: 4.3466e-07 lr: 4.3466e-08  eta: 7:29:57  time: 1.4297  data_time: 0.0187  memory: 25573  grad_norm: 3.7112  loss: 1.0186  caption_loss_cls: 1.8393  detection_loss_cls: 0.0218  detection_loss_reg: 0.2881  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8667  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2934  instance_segmentation_loss_poly: 0.7773
2024/01/13 09:29:22 - mmengine - INFO - Iter(train) [621500/640000]  base_lr: 4.1210e-07 lr: 4.1210e-08  eta: 7:17:39  time: 1.4125  data_time: 0.0188  memory: 25573  grad_norm: 3.7587  loss: 1.0165  caption_loss_cls: 1.8392  detection_loss_cls: 0.0218  detection_loss_reg: 0.2898  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8664  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2939  instance_segmentation_loss_poly: 0.7782
2024/01/13 09:41:01 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 09:41:01 - mmengine - INFO - Iter(train) [622000/640000]  base_lr: 3.9014e-07 lr: 3.9014e-08  eta: 7:05:30  time: 1.4135  data_time: 0.0191  memory: 25573  grad_norm: 3.7851  loss: 1.0244  caption_loss_cls: 1.8410  detection_loss_cls: 0.0219  detection_loss_reg: 0.2900  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.8651  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2947  instance_segmentation_loss_poly: 0.7809
2024/01/13 09:41:01 - mmengine - INFO - Saving checkpoint at 622000 iterations
2024/01/13 09:53:16 - mmengine - INFO - Iter(train) [622500/640000]  base_lr: 3.6878e-07 lr: 3.6878e-08  eta: 6:54:24  time: 1.4147  data_time: 0.0208  memory: 25573  grad_norm: 3.7340  loss: 1.0288  caption_loss_cls: 1.8409  detection_loss_cls: 0.0220  detection_loss_reg: 0.2918  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8652  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2945  instance_segmentation_loss_poly: 0.7810
2024/01/13 10:04:47 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 10:04:47 - mmengine - INFO - Iter(train) [623000/640000]  base_lr: 3.4802e-07 lr: 3.4802e-08  eta: 6:42:01  time: 1.4059  data_time: 0.0210  memory: 25573  grad_norm: 3.6557  loss: 1.0286  caption_loss_cls: 1.8423  detection_loss_cls: 0.0222  detection_loss_reg: 0.2924  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.8659  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2936  instance_segmentation_loss_poly: 0.7784
2024/01/13 10:15:58 - mmengine - INFO - Iter(train) [623500/640000]  base_lr: 3.2786e-07 lr: 3.2786e-08  eta: 6:29:15  time: 1.4002  data_time: 0.0211  memory: 25573  grad_norm: 3.6683  loss: 1.0235  caption_loss_cls: 1.8380  detection_loss_cls: 0.0223  detection_loss_reg: 0.2946  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8675  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2940  instance_segmentation_loss_poly: 0.7803
2024/01/13 10:27:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 10:27:44 - mmengine - INFO - Iter(train) [624000/640000]  base_lr: 3.0831e-07 lr: 3.0831e-08  eta: 6:17:25  time: 1.3964  data_time: 0.0214  memory: 25573  grad_norm: 3.6828  loss: 1.0334  caption_loss_cls: 1.8407  detection_loss_cls: 0.0224  detection_loss_reg: 0.2958  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8675  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2946  instance_segmentation_loss_poly: 0.7824
2024/01/13 10:27:44 - mmengine - INFO - Saving checkpoint at 624000 iterations
2024/01/13 10:39:19 - mmengine - INFO - Iter(train) [624500/640000]  base_lr: 2.8935e-07 lr: 2.8935e-08  eta: 6:05:21  time: 1.3964  data_time: 0.0276  memory: 25573  grad_norm: 3.6575  loss: 1.0339  caption_loss_cls: 1.8375  detection_loss_cls: 0.0224  detection_loss_reg: 0.2956  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8710  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2958  instance_segmentation_loss_poly: 0.7849
2024/01/13 10:51:03 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 10:51:03 - mmengine - INFO - Iter(train) [625000/640000]  base_lr: 2.7099e-07 lr: 2.7099e-08  eta: 5:53:29  time: 1.3984  data_time: 0.0277  memory: 25573  grad_norm: 3.6145  loss: 1.0326  caption_loss_cls: 1.8355  detection_loss_cls: 0.0225  detection_loss_reg: 0.2964  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8659  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2983  instance_segmentation_loss_poly: 0.7897
2024/01/13 11:02:22 - mmengine - INFO - Iter(train) [625500/640000]  base_lr: 2.5323e-07 lr: 2.5323e-08  eta: 5:41:11  time: 1.3939  data_time: 0.0277  memory: 25573  grad_norm: 3.5976  loss: 1.0396  caption_loss_cls: 1.8361  detection_loss_cls: 0.0225  detection_loss_reg: 0.2953  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8696  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2990  instance_segmentation_loss_poly: 0.7914
2024/01/13 11:13:44 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 11:13:44 - mmengine - INFO - Iter(train) [626000/640000]  base_lr: 2.3608e-07 lr: 2.3608e-08  eta: 5:29:02  time: 1.3897  data_time: 0.0276  memory: 25573  grad_norm: 3.5922  loss: 1.0366  caption_loss_cls: 1.8328  detection_loss_cls: 0.0224  detection_loss_reg: 0.2953  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8659  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2981  instance_segmentation_loss_poly: 0.7895
2024/01/13 11:13:44 - mmengine - INFO - Saving checkpoint at 626000 iterations
2024/01/13 11:25:55 - mmengine - INFO - Iter(train) [626500/640000]  base_lr: 2.1952e-07 lr: 2.1952e-08  eta: 5:17:40  time: 1.3884  data_time: 0.0271  memory: 25573  grad_norm: 3.6816  loss: 1.0413  caption_loss_cls: 1.8330  detection_loss_cls: 0.0224  detection_loss_reg: 0.2959  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8661  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2981  instance_segmentation_loss_poly: 0.7892
2024/01/13 11:37:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 11:37:50 - mmengine - INFO - Iter(train) [627000/640000]  base_lr: 2.0357e-07 lr: 2.0357e-08  eta: 5:06:01  time: 1.3946  data_time: 0.0273  memory: 25573  grad_norm: 3.7137  loss: 1.0437  caption_loss_cls: 1.8398  detection_loss_cls: 0.0222  detection_loss_reg: 0.2945  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8612  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2992  instance_segmentation_loss_poly: 0.7916
2024/01/13 11:49:21 - mmengine - INFO - Iter(train) [627500/640000]  base_lr: 1.8822e-07 lr: 1.8822e-08  eta: 4:54:02  time: 1.3996  data_time: 0.0274  memory: 25573  grad_norm: 3.6823  loss: 1.0403  caption_loss_cls: 1.8380  detection_loss_cls: 0.0225  detection_loss_reg: 0.2976  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8607  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.3001  instance_segmentation_loss_poly: 0.7930
2024/01/13 12:01:17 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 12:01:17 - mmengine - INFO - Iter(train) [628000/640000]  base_lr: 1.7347e-07 lr: 1.7347e-08  eta: 4:42:24  time: 1.4021  data_time: 0.0273  memory: 25573  grad_norm: 3.6689  loss: 1.0245  caption_loss_cls: 1.8349  detection_loss_cls: 0.0227  detection_loss_reg: 0.3003  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8573  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.3000  instance_segmentation_loss_poly: 0.7934
2024/01/13 12:01:17 - mmengine - INFO - Saving checkpoint at 628000 iterations
2024/01/13 12:13:41 - mmengine - INFO - Iter(train) [628500/640000]  base_lr: 1.5932e-07 lr: 1.5932e-08  eta: 4:31:04  time: 1.4143  data_time: 0.0275  memory: 25573  grad_norm: 3.6431  loss: 1.0163  caption_loss_cls: 1.8305  detection_loss_cls: 0.0226  detection_loss_reg: 0.3006  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8561  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2995  instance_segmentation_loss_poly: 0.7913
2024/01/13 12:25:10 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 12:25:10 - mmengine - INFO - Iter(train) [629000/640000]  base_lr: 1.4577e-07 lr: 1.4577e-08  eta: 4:19:05  time: 1.4107  data_time: 0.0273  memory: 25573  grad_norm: 3.6790  loss: 1.0163  caption_loss_cls: 1.8285  detection_loss_cls: 0.0225  detection_loss_reg: 0.2994  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8541  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2987  instance_segmentation_loss_poly: 0.7889
2024/01/13 12:36:40 - mmengine - INFO - Iter(train) [629500/640000]  base_lr: 1.3282e-07 lr: 1.3282e-08  eta: 4:07:08  time: 1.4135  data_time: 0.0273  memory: 25573  grad_norm: 3.6848  loss: 1.0208  caption_loss_cls: 1.8342  detection_loss_cls: 0.0226  detection_loss_reg: 0.2997  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.8558  instance_segmentation_loss_cls: 0.0223  instance_segmentation_loss_reg: 0.2984  instance_segmentation_loss_poly: 0.7870
2024/01/13 12:48:25 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 12:48:25 - mmengine - INFO - Iter(train) [630000/640000]  base_lr: 1.2048e-07 lr: 1.2048e-08  eta: 3:55:20  time: 1.4189  data_time: 0.0274  memory: 25573  grad_norm: 3.6391  loss: 1.0128  caption_loss_cls: 1.8307  detection_loss_cls: 0.0225  detection_loss_reg: 0.2995  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8552  instance_segmentation_loss_cls: 0.0222  instance_segmentation_loss_reg: 0.2985  instance_segmentation_loss_poly: 0.7875
2024/01/13 12:48:25 - mmengine - INFO - Saving checkpoint at 630000 iterations
2024/01/13 13:00:37 - mmengine - INFO - Iter(train) [630500/640000]  base_lr: 1.0874e-07 lr: 1.0874e-08  eta: 3:43:48  time: 1.4195  data_time: 0.0275  memory: 25573  grad_norm: 3.5963  loss: 1.0158  caption_loss_cls: 1.8251  detection_loss_cls: 0.0227  detection_loss_reg: 0.3004  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.8534  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2999  instance_segmentation_loss_poly: 0.7915
2024/01/13 13:11:56 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 13:11:56 - mmengine - INFO - Iter(train) [631000/640000]  base_lr: 9.7593e-08 lr: 9.7593e-09  eta: 3:31:48  time: 1.4104  data_time: 0.0274  memory: 25573  grad_norm: 3.6082  loss: 1.0193  caption_loss_cls: 1.8271  detection_loss_cls: 0.0227  detection_loss_reg: 0.3012  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8583  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.3003  instance_segmentation_loss_poly: 0.7929
2024/01/13 13:24:08 - mmengine - INFO - Iter(train) [631500/640000]  base_lr: 8.7054e-08 lr: 8.7054e-09  eta: 3:20:13  time: 1.4207  data_time: 0.0275  memory: 25573  grad_norm: 3.5796  loss: 1.0093  caption_loss_cls: 1.8216  detection_loss_cls: 0.0228  detection_loss_reg: 0.3012  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.8569  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.3015  instance_segmentation_loss_poly: 0.7947
2024/01/13 13:35:48 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 13:35:48 - mmengine - INFO - Iter(train) [632000/640000]  base_lr: 7.7116e-08 lr: 7.7116e-09  eta: 3:08:23  time: 1.4165  data_time: 0.0273  memory: 25573  grad_norm: 3.6146  loss: 1.0226  caption_loss_cls: 1.8206  detection_loss_cls: 0.0227  detection_loss_reg: 0.3000  semantic_segmentation_loss_cls: 0.0063  grounding_loss_reg: 1.8611  instance_segmentation_loss_cls: 0.0226  instance_segmentation_loss_reg: 0.3020  instance_segmentation_loss_poly: 0.7960
2024/01/13 13:35:48 - mmengine - INFO - Saving checkpoint at 632000 iterations
2024/01/13 13:47:58 - mmengine - INFO - Iter(train) [632500/640000]  base_lr: 6.7780e-08 lr: 6.7780e-09  eta: 2:56:45  time: 1.4131  data_time: 0.0273  memory: 25573  grad_norm: 3.5834  loss: 1.0280  caption_loss_cls: 1.8173  detection_loss_cls: 0.0227  detection_loss_reg: 0.3016  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8632  instance_segmentation_loss_cls: 0.0226  instance_segmentation_loss_reg: 0.3022  instance_segmentation_loss_poly: 0.7969
2024/01/13 13:59:22 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 13:59:22 - mmengine - INFO - Iter(train) [633000/640000]  base_lr: 5.9046e-08 lr: 5.9046e-09  eta: 2:44:50  time: 1.4118  data_time: 0.0273  memory: 25573  grad_norm: 3.6241  loss: 1.0397  caption_loss_cls: 1.8160  detection_loss_cls: 0.0228  detection_loss_reg: 0.3019  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8610  instance_segmentation_loss_cls: 0.0226  instance_segmentation_loss_reg: 0.3020  instance_segmentation_loss_poly: 0.7967
2024/01/13 14:11:14 - mmengine - INFO - Iter(train) [633500/640000]  base_lr: 5.0914e-08 lr: 5.0914e-09  eta: 2:33:05  time: 1.4174  data_time: 0.0273  memory: 25573  grad_norm: 3.6264  loss: 1.0297  caption_loss_cls: 1.8169  detection_loss_cls: 0.0228  detection_loss_reg: 0.3026  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8589  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2996  instance_segmentation_loss_poly: 0.7907
2024/01/13 14:23:10 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 14:23:10 - mmengine - INFO - Iter(train) [634000/640000]  base_lr: 4.3384e-08 lr: 4.3384e-09  eta: 2:21:21  time: 1.4203  data_time: 0.0273  memory: 25573  grad_norm: 3.5935  loss: 1.0292  caption_loss_cls: 1.8201  detection_loss_cls: 0.0230  detection_loss_reg: 0.3045  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8585  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.3008  instance_segmentation_loss_poly: 0.7935
2024/01/13 14:23:10 - mmengine - INFO - Saving checkpoint at 634000 iterations
2024/01/13 14:35:26 - mmengine - INFO - Iter(train) [634500/640000]  base_lr: 3.6456e-08 lr: 3.6456e-09  eta: 2:09:41  time: 1.4210  data_time: 0.0273  memory: 25573  grad_norm: 3.5684  loss: 1.0262  caption_loss_cls: 1.8198  detection_loss_cls: 0.0231  detection_loss_reg: 0.3058  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8541  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.3010  instance_segmentation_loss_poly: 0.7941
2024/01/13 14:46:40 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 14:46:40 - mmengine - INFO - Iter(train) [635000/640000]  base_lr: 3.0130e-08 lr: 3.0130e-09  eta: 1:57:46  time: 1.4198  data_time: 0.0273  memory: 25573  grad_norm: 3.5708  loss: 1.0249  caption_loss_cls: 1.8199  detection_loss_cls: 0.0230  detection_loss_reg: 0.3052  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8563  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.3009  instance_segmentation_loss_poly: 0.7951
2024/01/13 14:58:05 - mmengine - INFO - Iter(train) [635500/640000]  base_lr: 2.4407e-08 lr: 2.4407e-09  eta: 1:45:55  time: 1.4080  data_time: 0.0271  memory: 25573  grad_norm: 3.6472  loss: 1.0433  caption_loss_cls: 1.8262  detection_loss_cls: 0.0231  detection_loss_reg: 0.3055  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8564  instance_segmentation_loss_cls: 0.0226  instance_segmentation_loss_reg: 0.3020  instance_segmentation_loss_poly: 0.7966
2024/01/13 15:09:31 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 15:09:31 - mmengine - INFO - Iter(train) [636000/640000]  base_lr: 1.9286e-08 lr: 1.9286e-09  eta: 1:34:06  time: 1.4047  data_time: 0.0272  memory: 25573  grad_norm: 3.6456  loss: 1.0437  caption_loss_cls: 1.8245  detection_loss_cls: 0.0232  detection_loss_reg: 0.3067  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8549  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.3007  instance_segmentation_loss_poly: 0.7945
2024/01/13 15:09:31 - mmengine - INFO - Saving checkpoint at 636000 iterations
2024/01/13 15:21:39 - mmengine - INFO - Iter(train) [636500/640000]  base_lr: 1.4767e-08 lr: 1.4767e-09  eta: 1:22:23  time: 1.4041  data_time: 0.0272  memory: 25573  grad_norm: 3.6497  loss: 1.0340  caption_loss_cls: 1.8198  detection_loss_cls: 0.0233  detection_loss_reg: 0.3077  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8527  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.3002  instance_segmentation_loss_poly: 0.7938
2024/01/13 15:33:50 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 15:33:50 - mmengine - INFO - Iter(train) [637000/640000]  base_lr: 1.0850e-08 lr: 1.0850e-09  eta: 1:10:40  time: 1.4157  data_time: 0.0273  memory: 25573  grad_norm: 3.5830  loss: 1.0268  caption_loss_cls: 1.8213  detection_loss_cls: 0.0233  detection_loss_reg: 0.3082  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8573  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2996  instance_segmentation_loss_poly: 0.7934
2024/01/13 15:45:00 - mmengine - INFO - Iter(train) [637500/640000]  base_lr: 7.5358e-09 lr: 7.5358e-10  eta: 0:58:49  time: 1.4051  data_time: 0.0274  memory: 25573  grad_norm: 3.5973  loss: 1.0397  caption_loss_cls: 1.8195  detection_loss_cls: 0.0234  detection_loss_reg: 0.3088  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8568  instance_segmentation_loss_cls: 0.0226  instance_segmentation_loss_reg: 0.3005  instance_segmentation_loss_poly: 0.7950
2024/01/13 15:55:54 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 15:55:54 - mmengine - INFO - Iter(train) [638000/640000]  base_lr: 4.8239e-09 lr: 4.8239e-10  eta: 0:46:59  time: 1.3898  data_time: 0.0272  memory: 25573  grad_norm: 3.7008  loss: 1.0467  caption_loss_cls: 1.8184  detection_loss_cls: 0.0235  detection_loss_reg: 0.3104  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8594  instance_segmentation_loss_cls: 0.0227  instance_segmentation_loss_reg: 0.3009  instance_segmentation_loss_poly: 0.7961
2024/01/13 15:55:54 - mmengine - INFO - Saving checkpoint at 638000 iterations
2024/01/13 16:07:43 - mmengine - INFO - Iter(train) [638500/640000]  base_lr: 2.7144e-09 lr: 2.7144e-10  eta: 0:35:15  time: 1.3832  data_time: 0.0270  memory: 25573  grad_norm: 3.7575  loss: 1.0356  caption_loss_cls: 1.8174  detection_loss_cls: 0.0234  detection_loss_reg: 0.3097  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8582  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.2989  instance_segmentation_loss_poly: 0.7907
2024/01/13 16:19:30 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 16:19:30 - mmengine - INFO - Iter(train) [639000/640000]  base_lr: 1.2072e-09 lr: 1.2072e-10  eta: 0:23:30  time: 1.3914  data_time: 0.0271  memory: 25573  grad_norm: 3.7476  loss: 1.0304  caption_loss_cls: 1.8160  detection_loss_cls: 0.0233  detection_loss_reg: 0.3080  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8592  instance_segmentation_loss_cls: 0.0226  instance_segmentation_loss_reg: 0.3001  instance_segmentation_loss_poly: 0.7942
2024/01/13 16:30:44 - mmengine - INFO - Iter(train) [639500/640000]  base_lr: 3.0240e-10 lr: 3.0240e-11  eta: 0:11:44  time: 1.3885  data_time: 0.0272  memory: 25573  grad_norm: 3.7481  loss: 1.0314  caption_loss_cls: 1.8176  detection_loss_cls: 0.0233  detection_loss_reg: 0.3080  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8553  instance_segmentation_loss_cls: 0.0225  instance_segmentation_loss_reg: 0.3003  instance_segmentation_loss_poly: 0.7951
2024/01/13 16:42:30 - mmengine - INFO - Exp name: univision_joint_5_cosine_filteranno_64witer_1120_text_fixbug_final_huge_dpr0p4_detnofilter_20240113_051803
2024/01/13 16:42:30 - mmengine - INFO - Iter(train) [640000/640000]  base_lr: 1.2048e-15 lr: 1.2048e-16  eta: 0:00:00  time: 1.3936  data_time: 0.0272  memory: 25573  grad_norm: 3.7141  loss: 1.0219  caption_loss_cls: 1.8222  detection_loss_cls: 0.0233  detection_loss_reg: 0.3092  semantic_segmentation_loss_cls: 0.0062  grounding_loss_reg: 1.8540  instance_segmentation_loss_cls: 0.0224  instance_segmentation_loss_reg: 0.2978  instance_segmentation_loss_poly: 0.7888
2024/01/13 16:42:30 - mmengine - INFO - Saving checkpoint at 640000 iterations
2024/01/13 16:54:17 - mmengine - INFO - Evaluating bbox...
2024/01/13 16:55:14 - mmengine - INFO - bbox_mAP_copypaste: 0.529 0.710 0.578 0.369 0.574 0.685
2024/01/13 16:55:14 - mmengine - INFO - Evaluating segm...
2024/01/13 16:56:25 - mmengine - INFO - segm_mAP_copypaste: 0.358 0.626 0.356 0.205 0.404 0.547
2024/01/13 16:58:33 - mmengine - INFO - Evaluating bbox...
2024/01/13 16:59:31 - mmengine - INFO - bbox_mAP_copypaste: 0.528 0.709 0.577 0.367 0.572 0.686
2024/01/13 17:05:54 - mmengine - INFO - per class results:
2024/01/13 17:05:54 - mmengine - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 79.51 | 89.97 |
|       building      | 82.91 | 91.96 |
|         sky         | 93.57 | 97.91 |
|        floor        | 82.65 | 90.93 |
|         tree        | 74.37 | 87.52 |
|       ceiling       | 86.47 | 94.68 |
|         road        | 84.79 | 90.25 |
|         bed         | 90.88 | 96.01 |
|      windowpane     | 63.89 | 79.92 |
|        grass        | 66.94 | 81.64 |
|       cabinet       | 63.75 | 74.11 |
|       sidewalk      | 69.67 | 81.78 |
|        person       | 82.11 | 92.04 |
|        earth        |  38.1 | 50.49 |
|         door        | 55.98 | 71.25 |
|        table        | 64.72 | 80.35 |
|       mountain      | 60.84 | 77.85 |
|        plant        | 53.86 | 64.05 |
|       curtain       |  76.6 | 87.88 |
|        chair        | 62.92 | 76.13 |
|         car         |  85.5 | 92.31 |
|        water        | 60.37 | 72.97 |
|       painting      | 74.25 | 87.71 |
|         sofa        | 72.99 | 83.84 |
|        shelf        | 46.98 | 67.81 |
|        house        | 46.24 | 62.46 |
|         sea         | 61.69 | 76.92 |
|        mirror       |  69.5 | 78.31 |
|         rug         | 64.82 | 74.95 |
|        field        | 37.68 | 57.99 |
|       armchair      | 53.27 | 72.01 |
|         seat        | 67.41 | 82.48 |
|        fence        | 47.86 | 64.74 |
|         desk        | 53.21 | 69.91 |
|         rock        | 49.81 | 71.42 |
|       wardrobe      | 46.01 | 66.33 |
|         lamp        | 67.71 |  80.0 |
|       bathtub       | 80.52 | 89.71 |
|       railing       | 41.65 | 58.36 |
|       cushion       | 65.06 | 79.53 |
|         base        |  21.8 | 30.26 |
|         box         | 30.55 | 39.56 |
|        column       | 57.06 | 66.29 |
|      signboard      | 39.04 | 52.59 |
|   chest of drawers  | 37.64 | 56.76 |
|       counter       | 29.72 | 42.93 |
|         sand        | 45.96 | 68.23 |
|         sink        | 77.01 | 85.41 |
|      skyscraper     | 46.95 | 58.93 |
|      fireplace      | 75.39 | 88.34 |
|     refrigerator    |  81.3 | 86.19 |
|      grandstand     | 48.28 |  81.6 |
|         path        | 21.77 | 31.57 |
|        stairs       |  33.7 | 40.93 |
|        runway       | 74.23 | 95.18 |
|         case        | 50.98 | 65.43 |
|      pool table     | 92.22 | 95.67 |
|        pillow       | 61.62 | 71.45 |
|     screen door     |  70.9 | 74.22 |
|       stairway      |  34.8 | 44.48 |
|        river        | 14.65 | 33.38 |
|        bridge       | 68.66 | 79.59 |
|       bookcase      | 42.39 | 63.54 |
|        blind        | 38.78 | 43.72 |
|     coffee table    | 65.34 | 81.89 |
|        toilet       | 87.67 | 92.44 |
|        flower       | 43.81 | 57.26 |
|         book        | 50.36 |  69.1 |
|         hill        | 16.42 | 23.52 |
|        bench        | 61.78 | 71.58 |
|      countertop     | 63.54 | 79.57 |
|        stove        | 81.28 | 85.11 |
|         palm        | 49.14 | 72.48 |
|    kitchen island   | 47.04 | 69.43 |
|       computer      | 78.22 | 89.01 |
|     swivel chair    | 45.13 | 59.31 |
|         boat        | 66.22 | 87.68 |
|         bar         | 38.81 | 48.73 |
|    arcade machine   | 68.97 | 72.44 |
|        hovel        | 24.76 |  27.1 |
|         bus         | 86.29 | 94.82 |
|        towel        | 67.08 |  79.1 |
|        light        | 53.15 | 63.72 |
|        truck        | 50.16 | 66.21 |
|        tower        | 35.09 | 58.11 |
|      chandelier     | 68.14 | 78.78 |
|        awning       | 32.49 | 40.22 |
|     streetlight     | 34.36 | 46.06 |
|        booth        | 41.88 | 56.14 |
| television receiver | 75.32 |  87.8 |
|       airplane      | 67.64 | 75.84 |
|      dirt track     |  9.16 | 27.87 |
|       apparel       | 32.54 | 47.41 |
|         pole        | 29.42 | 44.22 |
|         land        |  3.23 |  4.3  |
|      bannister      |  15.5 | 21.27 |
|      escalator      | 25.16 | 27.05 |
|       ottoman       | 55.73 | 72.59 |
|        bottle       | 27.85 | 35.89 |
|        buffet       | 57.14 | 64.19 |
|        poster       | 32.31 | 44.81 |
|        stage        | 12.34 | 18.14 |
|         van         | 48.68 | 64.11 |
|         ship        |  9.76 | 10.28 |
|       fountain      | 21.28 | 21.54 |
|    conveyer belt    | 68.55 | 91.56 |
|        canopy       | 36.05 | 43.12 |
|        washer       | 68.33 | 71.99 |
|      plaything      | 33.87 | 42.85 |
|    swimming pool    | 67.74 | 69.38 |
|        stool        | 44.68 | 61.48 |
|        barrel       | 22.13 | 70.55 |
|        basket       | 35.16 | 46.12 |
|      waterfall      | 65.39 | 88.31 |
|         tent        | 72.11 | 97.47 |
|         bag         |  25.1 | 33.64 |
|       minibike      |  73.6 | 84.89 |
|        cradle       | 84.69 | 96.42 |
|         oven        | 52.11 | 63.45 |
|         ball        | 49.38 | 62.47 |
|         food        | 53.02 | 57.25 |
|         step        |  9.37 | 11.78 |
|         tank        | 49.38 | 52.91 |
|      trade name     | 28.17 | 35.44 |
|      microwave      | 86.91 | 93.98 |
|         pot         | 49.87 | 58.41 |
|        animal       | 64.46 | 68.65 |
|       bicycle       | 58.92 |  74.3 |
|         lake        | 57.88 | 64.56 |
|      dishwasher     | 72.16 | 87.63 |
|        screen       | 60.46 | 78.47 |
|       blanket       | 31.17 | 37.93 |
|      sculpture      | 69.67 | 81.33 |
|         hood        |  64.2 | 72.75 |
|        sconce       | 46.53 | 58.35 |
|         vase        | 44.68 | 62.79 |
|    traffic light    | 41.19 | 59.45 |
|         tray        | 20.35 |  29.7 |
|        ashcan       |  45.0 | 56.56 |
|         fan         | 63.73 | 74.77 |
|         pier        | 40.81 | 45.15 |
|      crt screen     |  6.6  | 19.73 |
|        plate        | 58.96 | 77.74 |
|       monitor       |  5.46 |  6.13 |
|    bulletin board   | 58.03 | 67.42 |
|        shower       |  3.5  |  5.34 |
|       radiator      | 61.42 | 71.55 |
|        glass        | 19.14 | 21.18 |
|        clock        | 40.92 | 49.28 |
|         flag        | 44.29 | 51.51 |
+---------------------+-------+-------+
2024/01/13 17:06:06 - mmengine - INFO - Iter(val) [209/209]    coco/bbox_mAP: 0.5280  coco/bbox_mAP_50: 0.7090  coco/bbox_mAP_75: 0.5770  coco/bbox_mAP_s: 0.3670  coco/bbox_mAP_m: 0.5720  coco/bbox_mAP_l: 0.6860  coco/segm_mAP: 0.3580  coco/segm_mAP_50: 0.6260  coco/segm_mAP_75: 0.3560  coco/segm_mAP_s: 0.2050  coco/segm_mAP_m: 0.4040  coco/segm_mAP_l: 0.5470  Bleu_1: 0.7758  Bleu_2: 0.6153  Bleu_3: 0.4745  Bleu_4: 0.3618  METEOR: 0.2834  ROUGE_L: 0.5745  CIDEr: 1.1818  SPICE: 0.2106  aAcc: 84.4400  mIoU: 52.3800  mAcc: 64.2400  visual-grounding/miou: 0.8378  visual-grounding/acc: 0.8923  data_time: 0.0126  time: 1.8929