2023/10/15 14:27:20 - mmengine - INFO - Iter(train) [135600/320000] base_lr: 1.2449e-04 lr: 5.0254e-05 eta: 3 days, 8:21:01 time: 2.3948 data_time: 0.1150 memory: 25863 grad_norm: 0.9046 loss: 1.3202 caption_loss_cls: 2.6669 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_reg: 0.2648 instance_segmentation_loss_poly: 0.8380 detection_loss_cls: 0.0763 detection_loss_reg: 0.4431 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9948 2023/10/15 14:30:25 - mmengine - INFO - Iter(train) [135700/320000] base_lr: 1.2440e-04 lr: 5.0216e-05 eta: 3 days, 15:34:32 time: 2.3950 data_time: 0.1150 memory: 26540 grad_norm: 0.9323 loss: 1.3187 caption_loss_cls: 2.6657 instance_segmentation_loss_cls: 0.0529 instance_segmentation_loss_reg: 0.2655 instance_segmentation_loss_poly: 0.8390 detection_loss_cls: 0.0763 detection_loss_reg: 0.4424 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9931 2023/10/15 14:33:30 - mmengine - INFO - Iter(train) [135800/320000] base_lr: 1.2430e-04 lr: 5.0179e-05 eta: 3 days, 17:50:19 time: 2.3947 data_time: 0.1150 memory: 25863 grad_norm: 0.9323 loss: 1.3220 caption_loss_cls: 2.6664 instance_segmentation_loss_cls: 0.0528 instance_segmentation_loss_reg: 0.2659 instance_segmentation_loss_poly: 0.8390 detection_loss_cls: 0.0760 detection_loss_reg: 0.4421 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9915 2023/10/15 14:36:31 - mmengine - INFO - Iter(train) [135900/320000] base_lr: 1.2421e-04 lr: 5.0142e-05 eta: 3 days, 18:33:05 time: 2.3905 data_time: 0.1150 memory: 26540 grad_norm: 0.9339 loss: 1.3251 caption_loss_cls: 2.6675 instance_segmentation_loss_cls: 0.0528 instance_segmentation_loss_reg: 0.2660 instance_segmentation_loss_poly: 0.8390 detection_loss_cls: 0.0757 detection_loss_reg: 0.4411 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9898 2023/10/15 14:39:55 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 14:39:55 - mmengine - INFO - Iter(train) [136000/320000] base_lr: 1.2411e-04 lr: 5.0105e-05 eta: 3 days, 21:11:51 time: 2.3924 data_time: 0.1150 memory: 25863 grad_norm: 0.9361 loss: 1.3271 caption_loss_cls: 2.6659 instance_segmentation_loss_cls: 0.0528 instance_segmentation_loss_reg: 0.2665 instance_segmentation_loss_poly: 0.8396 detection_loss_cls: 0.0752 detection_loss_reg: 0.4397 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9887 2023/10/15 14:39:55 - mmengine - INFO - Saving checkpoint at 136000 iterations 2023/10/15 14:44:13 - mmengine - INFO - Iter(train) [136100/320000] base_lr: 1.2402e-04 lr: 5.0068e-05 eta: 4 days, 3:36:29 time: 2.3865 data_time: 0.1151 memory: 25863 grad_norm: 0.9357 loss: 1.3250 caption_loss_cls: 2.6630 instance_segmentation_loss_cls: 0.0528 instance_segmentation_loss_reg: 0.2672 instance_segmentation_loss_poly: 0.8406 detection_loss_cls: 0.0744 detection_loss_reg: 0.4371 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.9877 2023/10/15 14:47:56 - mmengine - INFO - Iter(train) [136200/320000] base_lr: 1.2392e-04 lr: 5.0030e-05 eta: 4 days, 5:35:24 time: 2.3886 data_time: 0.1151 memory: 25863 grad_norm: 0.9353 loss: 1.3237 caption_loss_cls: 2.6645 instance_segmentation_loss_cls: 0.0528 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.8408 detection_loss_cls: 0.0740 detection_loss_reg: 0.4365 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.9868 2023/10/15 14:51:09 - mmengine - INFO - Iter(train) [136300/320000] base_lr: 1.2383e-04 lr: 4.9993e-05 eta: 4 days, 5:08:56 time: 2.3862 data_time: 0.1151 memory: 26540 grad_norm: 0.9330 loss: 1.3240 caption_loss_cls: 2.6656 instance_segmentation_loss_cls: 0.0527 instance_segmentation_loss_reg: 0.2678 instance_segmentation_loss_poly: 0.8410 detection_loss_cls: 0.0738 detection_loss_reg: 0.4361 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.9846 2023/10/15 14:54:17 - mmengine - INFO - Iter(train) [136400/320000] base_lr: 1.2373e-04 lr: 4.9956e-05 eta: 4 days, 4:32:11 time: 2.3845 data_time: 0.1151 memory: 25863 grad_norm: 0.9297 loss: 1.3254 caption_loss_cls: 2.6650 instance_segmentation_loss_cls: 0.0527 instance_segmentation_loss_reg: 0.2677 instance_segmentation_loss_poly: 0.8405 detection_loss_cls: 0.0735 detection_loss_reg: 0.4358 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.9831 2023/10/15 14:57:46 - mmengine - INFO - Iter(train) [136500/320000] base_lr: 1.2364e-04 lr: 4.9918e-05 eta: 4 days, 5:05:35 time: 2.3788 data_time: 0.1151 memory: 25863 grad_norm: 0.9277 loss: 1.3255 caption_loss_cls: 2.6627 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_reg: 0.2680 instance_segmentation_loss_poly: 0.8403 detection_loss_cls: 0.0732 detection_loss_reg: 0.4358 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.9807 2023/10/15 14:57:46 - mmengine - INFO - Saving checkpoint at 136500 iterations 2023/10/15 15:02:35 - mmengine - INFO - Iter(train) [136600/320000] base_lr: 1.2354e-04 lr: 4.9881e-05 eta: 4 days, 9:12:51 time: 2.3744 data_time: 0.1162 memory: 25863 grad_norm: 0.9236 loss: 1.3274 caption_loss_cls: 2.6574 instance_segmentation_loss_cls: 0.0525 instance_segmentation_loss_reg: 0.2686 instance_segmentation_loss_poly: 0.8415 detection_loss_cls: 0.0728 detection_loss_reg: 0.4343 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.9802 2023/10/15 15:06:09 - mmengine - INFO - Iter(train) [136700/320000] base_lr: 1.2345e-04 lr: 4.9844e-05 eta: 4 days, 9:29:21 time: 2.3707 data_time: 0.1162 memory: 25863 grad_norm: 0.9237 loss: 1.3235 caption_loss_cls: 2.6561 instance_segmentation_loss_cls: 0.0524 instance_segmentation_loss_reg: 0.2692 instance_segmentation_loss_poly: 0.8418 detection_loss_cls: 0.0726 detection_loss_reg: 0.4337 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9781 2023/10/15 15:09:25 - mmengine - INFO - Iter(train) [136800/320000] base_lr: 1.2336e-04 lr: 4.9807e-05 eta: 4 days, 8:58:39 time: 2.3639 data_time: 0.1162 memory: 26540 grad_norm: 0.9251 loss: 1.3209 caption_loss_cls: 2.6564 instance_segmentation_loss_cls: 0.0524 instance_segmentation_loss_reg: 0.2692 instance_segmentation_loss_poly: 0.8407 detection_loss_cls: 0.0723 detection_loss_reg: 0.4329 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.9777 2023/10/15 15:12:43 - mmengine - INFO - Iter(train) [136900/320000] base_lr: 1.2326e-04 lr: 4.9769e-05 eta: 4 days, 8:38:10 time: 2.3591 data_time: 0.1163 memory: 26540 grad_norm: 0.9265 loss: 1.3201 caption_loss_cls: 2.6574 instance_segmentation_loss_cls: 0.0524 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.8414 detection_loss_cls: 0.0720 detection_loss_reg: 0.4324 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.9773 2023/10/15 15:16:15 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 15:16:15 - mmengine - INFO - Iter(train) [137000/320000] base_lr: 1.2317e-04 lr: 4.9732e-05 eta: 4 days, 8:46:36 time: 2.3559 data_time: 0.1163 memory: 26540 grad_norm: 0.9266 loss: 1.3172 caption_loss_cls: 2.6565 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.8410 detection_loss_cls: 0.0716 detection_loss_reg: 0.4312 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.9756 2023/10/15 15:16:15 - mmengine - INFO - Saving checkpoint at 137000 iterations 2023/10/15 15:20:58 - mmengine - INFO - Iter(train) [137100/320000] base_lr: 1.2307e-04 lr: 4.9695e-05 eta: 4 days, 11:10:33 time: 2.3517 data_time: 0.1169 memory: 26540 grad_norm: 0.9266 loss: 1.3191 caption_loss_cls: 2.6575 instance_segmentation_loss_cls: 0.0524 instance_segmentation_loss_reg: 0.2712 instance_segmentation_loss_poly: 0.8425 detection_loss_cls: 0.0715 detection_loss_reg: 0.4321 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9749 2023/10/15 15:24:44 - mmengine - INFO - Iter(train) [137200/320000] base_lr: 1.2298e-04 lr: 4.9657e-05 eta: 4 days, 11:32:51 time: 2.3489 data_time: 0.1170 memory: 26540 grad_norm: 0.9281 loss: 1.3207 caption_loss_cls: 2.6563 instance_segmentation_loss_cls: 0.0525 instance_segmentation_loss_reg: 0.2719 instance_segmentation_loss_poly: 0.8435 detection_loss_cls: 0.0713 detection_loss_reg: 0.4321 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9743 2023/10/15 15:28:01 - mmengine - INFO - Iter(train) [137300/320000] base_lr: 1.2288e-04 lr: 4.9620e-05 eta: 4 days, 11:05:09 time: 2.3467 data_time: 0.1170 memory: 25863 grad_norm: 0.9285 loss: 1.3226 caption_loss_cls: 2.6592 instance_segmentation_loss_cls: 0.0525 instance_segmentation_loss_reg: 0.2720 instance_segmentation_loss_poly: 0.8439 detection_loss_cls: 0.0709 detection_loss_reg: 0.4311 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9744 2023/10/15 15:31:58 - mmengine - INFO - Iter(train) [137400/320000] base_lr: 1.2279e-04 lr: 4.9583e-05 eta: 4 days, 11:41:56 time: 2.3413 data_time: 0.1170 memory: 26540 grad_norm: 0.9275 loss: 1.3212 caption_loss_cls: 2.6567 instance_segmentation_loss_cls: 0.0525 instance_segmentation_loss_reg: 0.2726 instance_segmentation_loss_poly: 0.8449 detection_loss_cls: 0.0705 detection_loss_reg: 0.4300 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9733 2023/10/15 15:35:29 - mmengine - INFO - Iter(train) [137500/320000] base_lr: 1.2269e-04 lr: 4.9545e-05 eta: 4 days, 11:36:31 time: 2.3405 data_time: 0.1170 memory: 25863 grad_norm: 0.9278 loss: 1.3206 caption_loss_cls: 2.6534 instance_segmentation_loss_cls: 0.0525 instance_segmentation_loss_reg: 0.2729 instance_segmentation_loss_poly: 0.8449 detection_loss_cls: 0.0703 detection_loss_reg: 0.4299 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9723 2023/10/15 15:35:29 - mmengine - INFO - Saving checkpoint at 137500 iterations 2023/10/15 15:40:19 - mmengine - INFO - Iter(train) [137600/320000] base_lr: 1.2260e-04 lr: 4.9508e-05 eta: 4 days, 13:26:20 time: 2.3413 data_time: 0.1185 memory: 26540 grad_norm: 0.9296 loss: 1.3211 caption_loss_cls: 2.6529 instance_segmentation_loss_cls: 0.0525 instance_segmentation_loss_reg: 0.2732 instance_segmentation_loss_poly: 0.8453 detection_loss_cls: 0.0697 detection_loss_reg: 0.4288 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9718 2023/10/15 15:44:04 - mmengine - INFO - Iter(train) [137700/320000] base_lr: 1.2250e-04 lr: 4.9471e-05 eta: 4 days, 13:34:08 time: 2.3402 data_time: 0.1187 memory: 26540 grad_norm: 0.9284 loss: 1.3246 caption_loss_cls: 2.6524 instance_segmentation_loss_cls: 0.0528 instance_segmentation_loss_reg: 0.2744 instance_segmentation_loss_poly: 0.8468 detection_loss_cls: 0.0696 detection_loss_reg: 0.4294 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9719 2023/10/15 15:48:07 - mmengine - INFO - Iter(train) [137800/320000] base_lr: 1.2241e-04 lr: 4.9433e-05 eta: 4 days, 14:06:17 time: 2.3397 data_time: 0.1187 memory: 26540 grad_norm: 0.9305 loss: 1.3242 caption_loss_cls: 2.6523 instance_segmentation_loss_cls: 0.0527 instance_segmentation_loss_reg: 0.2743 instance_segmentation_loss_poly: 0.8457 detection_loss_cls: 0.0692 detection_loss_reg: 0.4282 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9698 2023/10/15 15:51:59 - mmengine - INFO - Iter(train) [137900/320000] base_lr: 1.2231e-04 lr: 4.9396e-05 eta: 4 days, 14:20:54 time: 2.3373 data_time: 0.1187 memory: 26540 grad_norm: 0.9292 loss: 1.3280 caption_loss_cls: 2.6517 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_reg: 0.2750 instance_segmentation_loss_poly: 0.8460 detection_loss_cls: 0.0688 detection_loss_reg: 0.4278 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9684 2023/10/15 15:55:45 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 15:55:45 - mmengine - INFO - Iter(train) [138000/320000] base_lr: 1.2222e-04 lr: 4.9358e-05 eta: 4 days, 14:26:44 time: 2.3345 data_time: 0.1187 memory: 26540 grad_norm: 0.9288 loss: 1.3267 caption_loss_cls: 2.6504 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_reg: 0.2756 instance_segmentation_loss_poly: 0.8471 detection_loss_cls: 0.0685 detection_loss_reg: 0.4279 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9686 2023/10/15 15:55:45 - mmengine - INFO - Saving checkpoint at 138000 iterations 2023/10/15 16:00:49 - mmengine - INFO - Iter(train) [138100/320000] base_lr: 1.2212e-04 lr: 4.9321e-05 eta: 4 days, 16:03:07 time: 2.3348 data_time: 0.1196 memory: 26540 grad_norm: 0.9299 loss: 1.3289 caption_loss_cls: 2.6520 instance_segmentation_loss_cls: 0.0524 instance_segmentation_loss_reg: 0.2759 instance_segmentation_loss_poly: 0.8474 detection_loss_cls: 0.0682 detection_loss_reg: 0.4277 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9667 2023/10/15 16:04:44 - mmengine - INFO - Iter(train) [138200/320000] base_lr: 1.2203e-04 lr: 4.9284e-05 eta: 4 days, 16:13:24 time: 2.3343 data_time: 0.1196 memory: 25863 grad_norm: 0.9296 loss: 1.3312 caption_loss_cls: 2.6513 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_reg: 0.2758 instance_segmentation_loss_poly: 0.8465 detection_loss_cls: 0.0681 detection_loss_reg: 0.4272 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9653 2023/10/15 16:08:25 - mmengine - INFO - Iter(train) [138300/320000] base_lr: 1.2193e-04 lr: 4.9246e-05 eta: 4 days, 16:08:37 time: 2.3309 data_time: 0.1197 memory: 26540 grad_norm: 0.9297 loss: 1.3308 caption_loss_cls: 2.6499 instance_segmentation_loss_cls: 0.0524 instance_segmentation_loss_reg: 0.2762 instance_segmentation_loss_poly: 0.8471 detection_loss_cls: 0.0676 detection_loss_reg: 0.4267 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9639 2023/10/15 16:12:35 - mmengine - INFO - Iter(train) [138400/320000] base_lr: 1.2184e-04 lr: 4.9209e-05 eta: 4 days, 16:34:29 time: 2.3303 data_time: 0.1197 memory: 25863 grad_norm: 0.9264 loss: 1.3354 caption_loss_cls: 2.6501 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.8481 detection_loss_cls: 0.0673 detection_loss_reg: 0.4266 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9621 2023/10/15 16:16:41 - mmengine - INFO - Iter(train) [138500/320000] base_lr: 1.2174e-04 lr: 4.9171e-05 eta: 4 days, 16:53:00 time: 2.3302 data_time: 0.1195 memory: 26540 grad_norm: 0.9261 loss: 1.3330 caption_loss_cls: 2.6505 instance_segmentation_loss_cls: 0.0522 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.8478 detection_loss_cls: 0.0670 detection_loss_reg: 0.4261 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9617 2023/10/15 16:16:41 - mmengine - INFO - Saving checkpoint at 138500 iterations 2023/10/15 16:21:38 - mmengine - INFO - Iter(train) [138600/320000] base_lr: 1.2165e-04 lr: 4.9134e-05 eta: 4 days, 18:01:21 time: 2.3343 data_time: 0.1208 memory: 25863 grad_norm: 0.9260 loss: 1.3331 caption_loss_cls: 2.6507 instance_segmentation_loss_cls: 0.0520 instance_segmentation_loss_reg: 0.2766 instance_segmentation_loss_poly: 0.8465 detection_loss_cls: 0.0668 detection_loss_reg: 0.4259 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9593 2023/10/15 16:25:42 - mmengine - INFO - Iter(train) [138700/320000] base_lr: 1.2155e-04 lr: 4.9096e-05 eta: 4 days, 18:13:40 time: 2.3341 data_time: 0.1208 memory: 26540 grad_norm: 0.9265 loss: 1.3345 caption_loss_cls: 2.6485 instance_segmentation_loss_cls: 0.0518 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.8465 detection_loss_cls: 0.0667 detection_loss_reg: 0.4258 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9593 2023/10/15 16:30:08 - mmengine - INFO - Iter(train) [138800/320000] base_lr: 1.2146e-04 lr: 4.9059e-05 eta: 4 days, 18:46:21 time: 2.3353 data_time: 0.1207 memory: 26540 grad_norm: 0.9277 loss: 1.3352 caption_loss_cls: 2.6465 instance_segmentation_loss_cls: 0.0516 instance_segmentation_loss_reg: 0.2770 instance_segmentation_loss_poly: 0.8463 detection_loss_cls: 0.0666 detection_loss_reg: 0.4260 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9599 2023/10/15 16:34:01 - mmengine - INFO - Iter(train) [138900/320000] base_lr: 1.2136e-04 lr: 4.9022e-05 eta: 4 days, 18:46:29 time: 2.3350 data_time: 0.1207 memory: 25863 grad_norm: 0.9280 loss: 1.3333 caption_loss_cls: 2.6466 instance_segmentation_loss_cls: 0.0516 instance_segmentation_loss_reg: 0.2774 instance_segmentation_loss_poly: 0.8467 detection_loss_cls: 0.0664 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9590 2023/10/15 16:38:12 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 16:38:12 - mmengine - INFO - Iter(train) [139000/320000] base_lr: 1.2127e-04 lr: 4.8984e-05 eta: 4 days, 19:02:19 time: 2.3359 data_time: 0.1208 memory: 25863 grad_norm: 0.9278 loss: 1.3394 caption_loss_cls: 2.6477 instance_segmentation_loss_cls: 0.0514 instance_segmentation_loss_reg: 0.2780 instance_segmentation_loss_poly: 0.8474 detection_loss_cls: 0.0661 detection_loss_reg: 0.4247 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9580 2023/10/15 16:38:12 - mmengine - INFO - Saving checkpoint at 139000 iterations 2023/10/15 16:43:07 - mmengine - INFO - Iter(train) [139100/320000] base_lr: 1.2117e-04 lr: 4.8947e-05 eta: 4 days, 19:53:40 time: 2.3369 data_time: 0.1217 memory: 25863 grad_norm: 0.9292 loss: 1.3380 caption_loss_cls: 2.6466 instance_segmentation_loss_cls: 0.0513 instance_segmentation_loss_reg: 0.2784 instance_segmentation_loss_poly: 0.8471 detection_loss_cls: 0.0661 detection_loss_reg: 0.4259 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9577 2023/10/15 16:47:24 - mmengine - INFO - Iter(train) [139200/320000] base_lr: 1.2108e-04 lr: 4.8909e-05 eta: 4 days, 20:11:34 time: 2.3358 data_time: 0.1217 memory: 26540 grad_norm: 0.9293 loss: 1.3413 caption_loss_cls: 2.6450 instance_segmentation_loss_cls: 0.0512 instance_segmentation_loss_reg: 0.2784 instance_segmentation_loss_poly: 0.8467 detection_loss_cls: 0.0657 detection_loss_reg: 0.4250 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9583 2023/10/15 16:51:50 - mmengine - INFO - Iter(train) [139300/320000] base_lr: 1.2098e-04 lr: 4.8872e-05 eta: 4 days, 20:35:15 time: 2.3366 data_time: 0.1218 memory: 26540 grad_norm: 0.9294 loss: 1.3432 caption_loss_cls: 2.6458 instance_segmentation_loss_cls: 0.0512 instance_segmentation_loss_reg: 0.2791 instance_segmentation_loss_poly: 0.8471 detection_loss_cls: 0.0655 detection_loss_reg: 0.4247 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9576 2023/10/15 16:56:20 - mmengine - INFO - Iter(train) [139400/320000] base_lr: 1.2089e-04 lr: 4.8834e-05 eta: 4 days, 21:00:28 time: 2.3402 data_time: 0.1218 memory: 26540 grad_norm: 0.9297 loss: 1.3455 caption_loss_cls: 2.6446 instance_segmentation_loss_cls: 0.0511 instance_segmentation_loss_reg: 0.2795 instance_segmentation_loss_poly: 0.8475 detection_loss_cls: 0.0654 detection_loss_reg: 0.4253 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9571 2023/10/15 17:00:59 - mmengine - INFO - Iter(train) [139500/320000] base_lr: 1.2079e-04 lr: 4.8797e-05 eta: 4 days, 21:30:37 time: 2.3437 data_time: 0.1218 memory: 25863 grad_norm: 0.9314 loss: 1.3435 caption_loss_cls: 2.6442 instance_segmentation_loss_cls: 0.0509 instance_segmentation_loss_reg: 0.2794 instance_segmentation_loss_poly: 0.8466 detection_loss_cls: 0.0654 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9565 2023/10/15 17:00:59 - mmengine - INFO - Saving checkpoint at 139500 iterations 2023/10/15 17:06:09 - mmengine - INFO - Iter(train) [139600/320000] base_lr: 1.2070e-04 lr: 4.8759e-05 eta: 4 days, 22:22:28 time: 2.3821 data_time: 0.1366 memory: 26540 grad_norm: 0.9179 loss: 1.3430 caption_loss_cls: 2.6421 instance_segmentation_loss_cls: 0.0509 instance_segmentation_loss_reg: 0.2798 instance_segmentation_loss_poly: 0.8467 detection_loss_cls: 0.0651 detection_loss_reg: 0.4250 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9560 2023/10/15 17:10:33 - mmengine - INFO - Iter(train) [139700/320000] base_lr: 1.2060e-04 lr: 4.8722e-05 eta: 4 days, 22:38:03 time: 2.4016 data_time: 0.1366 memory: 26540 grad_norm: 0.8844 loss: 1.3375 caption_loss_cls: 2.6390 instance_segmentation_loss_cls: 0.0508 instance_segmentation_loss_reg: 0.2804 instance_segmentation_loss_poly: 0.8478 detection_loss_cls: 0.0614 detection_loss_reg: 0.4247 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9559 2023/10/15 17:14:12 - mmengine - INFO - Iter(train) [139800/320000] base_lr: 1.2051e-04 lr: 4.8684e-05 eta: 4 days, 22:21:31 time: 2.4102 data_time: 0.1367 memory: 26540 grad_norm: 0.8894 loss: 1.3402 caption_loss_cls: 2.6345 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_reg: 0.2810 instance_segmentation_loss_poly: 0.8483 detection_loss_cls: 0.0611 detection_loss_reg: 0.4251 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9553 2023/10/15 17:18:42 - mmengine - INFO - Iter(train) [139900/320000] base_lr: 1.2041e-04 lr: 4.8646e-05 eta: 4 days, 22:40:27 time: 2.4323 data_time: 0.1366 memory: 25863 grad_norm: 0.8827 loss: 1.3297 caption_loss_cls: 2.6333 instance_segmentation_loss_cls: 0.0506 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.8486 detection_loss_cls: 0.0612 detection_loss_reg: 0.4261 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9545 2023/10/15 17:22:31 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 17:22:31 - mmengine - INFO - Iter(train) [140000/320000] base_lr: 1.2031e-04 lr: 4.8609e-05 eta: 4 days, 22:31:15 time: 2.4388 data_time: 0.1366 memory: 25863 grad_norm: 0.8829 loss: 1.3385 caption_loss_cls: 2.6358 instance_segmentation_loss_cls: 0.0506 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.8485 detection_loss_cls: 0.0613 detection_loss_reg: 0.4268 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9538 2023/10/15 17:22:31 - mmengine - INFO - Saving checkpoint at 140000 iterations 2023/10/15 17:27:06 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.4925 data_time: 0.0328 memory: 14025 2023/10/15 17:27:52 - mmengine - INFO - Evaluating bbox... 2023/10/15 17:28:56 - mmengine - INFO - bbox_mAP_copypaste: 0.426 0.592 0.460 0.266 0.473 0.566 2023/10/15 17:28:56 - mmengine - INFO - Evaluating segm... 2023/10/15 17:30:14 - mmengine - INFO - segm_mAP_copypaste: 0.266 0.490 0.260 0.128 0.303 0.418 2023/10/15 17:31:10 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3711 data_time: 0.0297 memory: 14025 2023/10/15 17:31:34 - mmengine - INFO - Evaluating bbox... 2023/10/15 17:32:39 - mmengine - INFO - bbox_mAP_copypaste: 0.425 0.591 0.459 0.264 0.474 0.565 2023/10/15 17:34:50 - mmengine - INFO - per class results: 2023/10/15 17:34:50 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 71.1 | 83.25 | | building | 79.4 | 92.04 | | sky | 92.68 | 96.85 | | floor | 77.83 | 87.88 | | tree | 71.13 | 84.56 | | ceiling | 78.13 | 93.04 | | road | 79.03 | 90.04 | | bed | 80.24 | 94.3 | | windowpane | 39.25 | 44.95 | | grass | 68.56 | 83.34 | | cabinet | 52.85 | 74.02 | | sidewalk | 58.25 | 70.19 | | person | 77.25 | 89.35 | | earth | 35.57 | 47.05 | | door | 31.25 | 73.17 | | table | 47.92 | 70.77 | | mountain | 53.33 | 65.43 | | plant | 51.46 | 67.99 | | curtain | 65.27 | 81.81 | | chair | 46.12 | 60.32 | | car | 75.98 | 83.98 | | water | 52.5 | 80.98 | | painting | 61.73 | 69.75 | | sofa | 56.29 | 70.99 | | shelf | 32.72 | 43.36 | | house | 42.15 | 58.5 | | sea | 50.26 | 60.05 | | mirror | 53.31 | 67.86 | | rug | 49.77 | 52.53 | | field | 23.89 | 27.34 | | armchair | 35.0 | 64.09 | | seat | 56.5 | 69.17 | | fence | 39.84 | 51.9 | | desk | 18.94 | 21.45 | | rock | 38.55 | 75.41 | | wardrobe | 36.32 | 39.21 | | lamp | 48.04 | 63.89 | | bathtub | 33.19 | 33.96 | | railing | 28.94 | 45.94 | | cushion | 24.91 | 26.2 | | base | 2.11 | 2.24 | | box | 21.62 | 29.48 | | column | 37.76 | 50.04 | | signboard | 31.07 | 46.94 | | chest of drawers | 23.4 | 26.24 | | counter | 25.51 | 38.55 | | sand | 40.34 | 71.29 | | sink | 46.41 | 70.84 | | skyscraper | 57.88 | 82.42 | | fireplace | 48.13 | 89.48 | | refrigerator | 54.53 | 82.82 | | grandstand | 49.4 | 55.51 | | path | 17.27 | 22.7 | | stairs | 29.26 | 39.33 | | runway | 61.64 | 70.7 | | case | 50.09 | 58.02 | | pool table | 88.8 | 92.94 | | pillow | 26.75 | 33.69 | | screen door | 0.0 | 0.0 | | stairway | 25.9 | 29.17 | | river | 14.52 | 17.53 | | bridge | 53.9 | 88.64 | | bookcase | 27.34 | 55.6 | | blind | 26.11 | 31.05 | | coffee table | 40.24 | 47.41 | | toilet | 79.26 | 87.46 | | flower | 30.62 | 46.93 | | book | 34.89 | 56.33 | | hill | 4.84 | 8.41 | | bench | 30.32 | 41.26 | | countertop | 36.0 | 80.0 | | stove | 52.75 | 75.42 | | palm | 36.92 | 44.08 | | kitchen island | 23.09 | 52.77 | | computer | 61.22 | 73.21 | | swivel chair | 33.12 | 50.18 | | boat | 59.08 | 83.51 | | bar | 10.04 | 11.21 | | arcade machine | 41.57 | 53.02 | | hovel | 1.1 | 1.11 | | bus | 70.24 | 95.15 | | towel | 43.77 | 73.91 | | light | 18.33 | 19.05 | | truck | 26.49 | 68.45 | | tower | 17.63 | 21.0 | | chandelier | 57.19 | 69.03 | | awning | 25.68 | 27.23 | | streetlight | 25.99 | 47.56 | | booth | 27.12 | 27.78 | | television receiver | 62.0 | 73.31 | | airplane | 56.42 | 64.06 | | dirt track | 0.0 | 0.0 | | apparel | 23.59 | 42.4 | | pole | 19.65 | 34.61 | | land | 0.0 | 0.0 | | bannister | 0.98 | 1.21 | | escalator | 52.04 | 61.1 | | ottoman | 29.53 | 52.55 | | bottle | 20.84 | 28.61 | | buffet | 25.59 | 34.16 | | poster | 19.27 | 22.89 | | stage | 2.71 | 3.65 | | van | 30.3 | 36.85 | | ship | 66.52 | 69.9 | | fountain | 10.83 | 12.38 | | conveyer belt | 52.27 | 89.93 | | canopy | 9.25 | 10.77 | | washer | 35.87 | 61.81 | | plaything | 6.66 | 6.87 | | swimming pool | 18.11 | 18.18 | | stool | 28.03 | 34.46 | | barrel | 12.03 | 49.73 | | basket | 27.54 | 38.54 | | waterfall | 44.08 | 48.89 | | tent | 78.4 | 97.06 | | bag | 18.33 | 23.17 | | minibike | 65.81 | 82.86 | | cradle | 61.83 | 82.47 | | oven | 18.01 | 33.04 | | ball | 39.89 | 57.67 | | food | 50.99 | 59.89 | | step | 1.94 | 2.11 | | tank | 23.39 | 25.4 | | trade name | 0.0 | 0.0 | | microwave | 73.85 | 85.79 | | pot | 37.81 | 46.07 | | animal | 64.59 | 69.79 | | bicycle | 54.99 | 77.31 | | lake | 0.0 | 0.0 | | dishwasher | 3.7 | 3.7 | | screen | 45.47 | 74.95 | | blanket | 0.0 | 0.0 | | sculpture | 39.21 | 47.34 | | hood | 31.2 | 32.48 | | sconce | 11.84 | 14.54 | | vase | 31.12 | 55.69 | | traffic light | 21.64 | 25.83 | | tray | 2.84 | 3.63 | | ashcan | 31.26 | 37.98 | | fan | 41.46 | 46.9 | | pier | 21.17 | 25.51 | | crt screen | 3.0 | 9.54 | | plate | 41.88 | 57.9 | | monitor | 2.1 | 2.13 | | bulletin board | 6.34 | 6.88 | | shower | 0.91 | 13.34 | | radiator | 34.38 | 39.59 | | glass | 8.65 | 9.2 | | clock | 13.41 | 16.07 | | flag | 27.49 | 28.89 | +---------------------+-------+-------+ 2023/10/15 17:34:57 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.4250 coco/bbox_mAP_50: 0.5910 coco/bbox_mAP_75: 0.4590 coco/bbox_mAP_s: 0.2640 coco/bbox_mAP_m: 0.4740 coco/bbox_mAP_l: 0.5650 coco/segm_mAP: 0.2660 coco/segm_mAP_50: 0.4900 coco/segm_mAP_75: 0.2600 coco/segm_mAP_s: 0.1280 coco/segm_mAP_m: 0.3030 coco/segm_mAP_l: 0.4180 Bleu_1: 0.6924 Bleu_2: 0.5213 Bleu_3: 0.3795 Bleu_4: 0.2726 METEOR: 0.2383 ROUGE_L: 0.5177 CIDEr: 0.8781 SPICE: 0.1732 aAcc: 78.2800 mIoU: 36.8400 mAcc: 48.6300 visual-grounding/miou: 0.6101 visual-grounding/acc: 0.6719 data_time: 0.0371 time: 1.0436 2023/10/15 17:38:49 - mmengine - INFO - Iter(train) [140100/320000] base_lr: 1.2022e-04 lr: 4.8571e-05 eta: 4 days, 22:24:58 time: 2.4326 data_time: 0.1221 memory: 25864 grad_norm: 0.8831 loss: 1.3417 caption_loss_cls: 2.6366 instance_segmentation_loss_cls: 0.0504 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.8482 detection_loss_cls: 0.0611 detection_loss_reg: 0.4265 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9527 2023/10/15 17:43:04 - mmengine - INFO - Iter(train) [140200/320000] base_lr: 1.2012e-04 lr: 4.8534e-05 eta: 4 days, 22:32:08 time: 2.4405 data_time: 0.1222 memory: 25864 grad_norm: 0.8777 loss: 1.3334 caption_loss_cls: 2.6372 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.8474 detection_loss_cls: 0.0612 detection_loss_reg: 0.4269 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9522 2023/10/15 17:46:50 - mmengine - INFO - Iter(train) [140300/320000] base_lr: 1.2003e-04 lr: 4.8496e-05 eta: 4 days, 22:21:20 time: 2.4488 data_time: 0.1223 memory: 25864 grad_norm: 0.8736 loss: 1.3338 caption_loss_cls: 2.6358 instance_segmentation_loss_cls: 0.0499 instance_segmentation_loss_reg: 0.2804 instance_segmentation_loss_poly: 0.8457 detection_loss_cls: 0.0612 detection_loss_reg: 0.4279 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9516 2023/10/15 17:50:51 - mmengine - INFO - Iter(train) [140400/320000] base_lr: 1.1993e-04 lr: 4.8459e-05 eta: 4 days, 22:19:34 time: 2.4619 data_time: 0.1225 memory: 26543 grad_norm: 0.8750 loss: 1.3433 caption_loss_cls: 2.6399 instance_segmentation_loss_cls: 0.0500 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.8472 detection_loss_cls: 0.0610 detection_loss_reg: 0.4282 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9486 2023/10/15 17:54:53 - mmengine - INFO - Iter(train) [140500/320000] base_lr: 1.1984e-04 lr: 4.8421e-05 eta: 4 days, 22:18:35 time: 2.4702 data_time: 0.1226 memory: 25864 grad_norm: 0.8743 loss: 1.3413 caption_loss_cls: 2.6374 instance_segmentation_loss_cls: 0.0498 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.8463 detection_loss_cls: 0.0609 detection_loss_reg: 0.4281 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9479 2023/10/15 17:54:53 - mmengine - INFO - Saving checkpoint at 140500 iterations 2023/10/15 18:00:11 - mmengine - INFO - Iter(train) [140600/320000] base_lr: 1.1974e-04 lr: 4.8383e-05 eta: 4 days, 23:01:51 time: 2.4775 data_time: 0.1227 memory: 26543 grad_norm: 0.8752 loss: 1.3433 caption_loss_cls: 2.6369 instance_segmentation_loss_cls: 0.0499 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.8483 detection_loss_cls: 0.0608 detection_loss_reg: 0.4275 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9466 2023/10/15 18:04:07 - mmengine - INFO - Iter(train) [140700/320000] base_lr: 1.1965e-04 lr: 4.8346e-05 eta: 4 days, 22:56:18 time: 2.4829 data_time: 0.1228 memory: 25864 grad_norm: 0.8778 loss: 1.3497 caption_loss_cls: 2.6372 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.8496 detection_loss_cls: 0.0606 detection_loss_reg: 0.4272 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9460 2023/10/15 18:08:14 - mmengine - INFO - Iter(train) [140800/320000] base_lr: 1.1955e-04 lr: 4.8308e-05 eta: 4 days, 22:56:56 time: 2.4958 data_time: 0.1229 memory: 26543 grad_norm: 0.8730 loss: 1.3437 caption_loss_cls: 2.6357 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.8492 detection_loss_cls: 0.0605 detection_loss_reg: 0.4271 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9439 2023/10/15 18:12:27 - mmengine - INFO - Iter(train) [140900/320000] base_lr: 1.1946e-04 lr: 4.8271e-05 eta: 4 days, 23:00:35 time: 2.5094 data_time: 0.1231 memory: 25864 grad_norm: 0.8693 loss: 1.3389 caption_loss_cls: 2.6334 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.8497 detection_loss_cls: 0.0603 detection_loss_reg: 0.4259 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9432 2023/10/15 18:16:39 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 18:16:39 - mmengine - INFO - Iter(train) [141000/320000] base_lr: 1.1936e-04 lr: 4.8233e-05 eta: 4 days, 23:03:45 time: 2.5196 data_time: 0.1231 memory: 25864 grad_norm: 0.8678 loss: 1.3372 caption_loss_cls: 2.6327 instance_segmentation_loss_cls: 0.0495 instance_segmentation_loss_reg: 0.2846 instance_segmentation_loss_poly: 0.8498 detection_loss_cls: 0.0602 detection_loss_reg: 0.4262 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9411 2023/10/15 18:16:39 - mmengine - INFO - Saving checkpoint at 141000 iterations 2023/10/15 18:21:25 - mmengine - INFO - Iter(train) [141100/320000] base_lr: 1.1927e-04 lr: 4.8195e-05 eta: 4 days, 23:24:15 time: 2.5201 data_time: 0.1236 memory: 25864 grad_norm: 0.8704 loss: 1.3320 caption_loss_cls: 2.6288 instance_segmentation_loss_cls: 0.0495 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.8497 detection_loss_cls: 0.0603 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9402 2023/10/15 18:25:12 - mmengine - INFO - Iter(train) [141200/320000] base_lr: 1.1917e-04 lr: 4.8158e-05 eta: 4 days, 23:13:32 time: 2.5206 data_time: 0.1236 memory: 26543 grad_norm: 0.8692 loss: 1.3304 caption_loss_cls: 2.6254 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.8499 detection_loss_cls: 0.0603 detection_loss_reg: 0.4277 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9381 2023/10/15 18:29:34 - mmengine - INFO - Iter(train) [141300/320000] base_lr: 1.1907e-04 lr: 4.8120e-05 eta: 4 days, 23:20:58 time: 2.5368 data_time: 0.1238 memory: 26543 grad_norm: 0.8645 loss: 1.3232 caption_loss_cls: 2.6258 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_reg: 0.2854 instance_segmentation_loss_poly: 0.8502 detection_loss_cls: 0.0603 detection_loss_reg: 0.4285 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9376 2023/10/15 18:33:39 - mmengine - INFO - Iter(train) [141400/320000] base_lr: 1.1898e-04 lr: 4.8082e-05 eta: 4 days, 23:19:13 time: 2.5390 data_time: 0.1239 memory: 26543 grad_norm: 0.8650 loss: 1.3279 caption_loss_cls: 2.6252 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_reg: 0.2869 instance_segmentation_loss_poly: 0.8520 detection_loss_cls: 0.0602 detection_loss_reg: 0.4289 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9378 2023/10/15 18:37:26 - mmengine - INFO - Iter(train) [141500/320000] base_lr: 1.1888e-04 lr: 4.8045e-05 eta: 4 days, 23:08:04 time: 2.5427 data_time: 0.1240 memory: 25864 grad_norm: 0.8622 loss: 1.3260 caption_loss_cls: 2.6210 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_reg: 0.2873 instance_segmentation_loss_poly: 0.8532 detection_loss_cls: 0.0601 detection_loss_reg: 0.4290 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9370 2023/10/15 18:37:26 - mmengine - INFO - Saving checkpoint at 141500 iterations 2023/10/15 18:42:16 - mmengine - INFO - Iter(train) [141600/320000] base_lr: 1.1879e-04 lr: 4.8007e-05 eta: 4 days, 23:28:29 time: 2.5427 data_time: 0.1239 memory: 26543 grad_norm: 0.8587 loss: 1.3273 caption_loss_cls: 2.6238 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_reg: 0.2874 instance_segmentation_loss_poly: 0.8530 detection_loss_cls: 0.0600 detection_loss_reg: 0.4293 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9368 2023/10/15 18:46:13 - mmengine - INFO - Iter(train) [141700/320000] base_lr: 1.1869e-04 lr: 4.7969e-05 eta: 4 days, 23:22:28 time: 2.5458 data_time: 0.1239 memory: 25864 grad_norm: 0.8593 loss: 1.3309 caption_loss_cls: 2.6281 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.8539 detection_loss_cls: 0.0600 detection_loss_reg: 0.4293 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9337 2023/10/15 18:49:55 - mmengine - INFO - Iter(train) [141800/320000] base_lr: 1.1860e-04 lr: 4.7932e-05 eta: 4 days, 23:09:44 time: 2.5406 data_time: 0.1239 memory: 26543 grad_norm: 0.8595 loss: 1.3335 caption_loss_cls: 2.6265 instance_segmentation_loss_cls: 0.0492 instance_segmentation_loss_reg: 0.2884 instance_segmentation_loss_poly: 0.8542 detection_loss_cls: 0.0600 detection_loss_reg: 0.4295 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.9331 2023/10/15 18:53:18 - mmengine - INFO - Iter(train) [141900/320000] base_lr: 1.1850e-04 lr: 4.7894e-05 eta: 4 days, 22:48:13 time: 2.5334 data_time: 0.1238 memory: 25864 grad_norm: 0.8742 loss: 1.3312 caption_loss_cls: 2.6223 instance_segmentation_loss_cls: 0.0492 instance_segmentation_loss_reg: 0.2886 instance_segmentation_loss_poly: 0.8544 detection_loss_cls: 0.0600 detection_loss_reg: 0.4301 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9313 2023/10/15 18:57:23 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 18:57:23 - mmengine - INFO - Iter(train) [142000/320000] base_lr: 1.1840e-04 lr: 4.7856e-05 eta: 4 days, 22:46:04 time: 2.5379 data_time: 0.1240 memory: 26543 grad_norm: 0.8791 loss: 1.3358 caption_loss_cls: 2.6252 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.8561 detection_loss_cls: 0.0602 detection_loss_reg: 0.4312 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9302 2023/10/15 18:57:23 - mmengine - INFO - Saving checkpoint at 142000 iterations 2023/10/15 19:02:15 - mmengine - INFO - Iter(train) [142100/320000] base_lr: 1.1831e-04 lr: 4.7819e-05 eta: 4 days, 23:05:14 time: 2.5348 data_time: 0.1243 memory: 25864 grad_norm: 0.8776 loss: 1.3309 caption_loss_cls: 2.6270 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.8563 detection_loss_cls: 0.0603 detection_loss_reg: 0.4311 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9294 2023/10/15 19:06:24 - mmengine - INFO - Iter(train) [142200/320000] base_lr: 1.1821e-04 lr: 4.7781e-05 eta: 4 days, 23:04:56 time: 2.5386 data_time: 0.1243 memory: 25864 grad_norm: 0.8782 loss: 1.3314 caption_loss_cls: 2.6269 instance_segmentation_loss_cls: 0.0492 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.8569 detection_loss_cls: 0.0605 detection_loss_reg: 0.4326 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9287 2023/10/15 19:10:49 - mmengine - INFO - Iter(train) [142300/320000] base_lr: 1.1812e-04 lr: 4.7743e-05 eta: 4 days, 23:11:29 time: 2.5496 data_time: 0.1244 memory: 26543 grad_norm: 0.8766 loss: 1.3295 caption_loss_cls: 2.6264 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_reg: 0.2911 instance_segmentation_loss_poly: 0.8586 detection_loss_cls: 0.0602 detection_loss_reg: 0.4325 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9273 2023/10/15 19:14:58 - mmengine - INFO - Iter(train) [142400/320000] base_lr: 1.1802e-04 lr: 4.7706e-05 eta: 4 days, 23:10:34 time: 2.5492 data_time: 0.1245 memory: 26543 grad_norm: 0.8770 loss: 1.3280 caption_loss_cls: 2.6256 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_reg: 0.2913 instance_segmentation_loss_poly: 0.8578 detection_loss_cls: 0.0603 detection_loss_reg: 0.4331 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9265 2023/10/15 19:18:17 - mmengine - INFO - Iter(train) [142500/320000] base_lr: 1.1793e-04 lr: 4.7668e-05 eta: 4 days, 22:48:35 time: 2.5377 data_time: 0.1245 memory: 26543 grad_norm: 0.8821 loss: 1.3319 caption_loss_cls: 2.6238 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.8582 detection_loss_cls: 0.0603 detection_loss_reg: 0.4328 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9241 2023/10/15 19:18:17 - mmengine - INFO - Saving checkpoint at 142500 iterations 2023/10/15 19:23:22 - mmengine - INFO - Iter(train) [142600/320000] base_lr: 1.1783e-04 lr: 4.7630e-05 eta: 4 days, 23:10:59 time: 2.5393 data_time: 0.1255 memory: 26543 grad_norm: 0.8806 loss: 1.3325 caption_loss_cls: 2.6223 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.8597 detection_loss_cls: 0.0603 detection_loss_reg: 0.4328 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9242 2023/10/15 19:27:03 - mmengine - INFO - Iter(train) [142700/320000] base_lr: 1.1773e-04 lr: 4.7592e-05 eta: 4 days, 22:58:37 time: 2.5339 data_time: 0.1256 memory: 26543 grad_norm: 0.8836 loss: 1.3353 caption_loss_cls: 2.6239 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.8599 detection_loss_cls: 0.0604 detection_loss_reg: 0.4333 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9229 2023/10/15 19:31:07 - mmengine - INFO - Iter(train) [142800/320000] base_lr: 1.1764e-04 lr: 4.7555e-05 eta: 4 days, 22:55:31 time: 2.5282 data_time: 0.1256 memory: 25864 grad_norm: 0.8829 loss: 1.3379 caption_loss_cls: 2.6251 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_reg: 0.2942 instance_segmentation_loss_poly: 0.8613 detection_loss_cls: 0.0602 detection_loss_reg: 0.4337 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9224 2023/10/15 19:35:38 - mmengine - INFO - Iter(train) [142900/320000] base_lr: 1.1754e-04 lr: 4.7517e-05 eta: 4 days, 23:03:10 time: 2.5378 data_time: 0.1258 memory: 25864 grad_norm: 0.8802 loss: 1.3359 caption_loss_cls: 2.6241 instance_segmentation_loss_cls: 0.0492 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.8614 detection_loss_cls: 0.0599 detection_loss_reg: 0.4339 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9219 2023/10/15 19:39:29 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 19:39:29 - mmengine - INFO - Iter(train) [143000/320000] base_lr: 1.1745e-04 lr: 4.7479e-05 eta: 4 days, 22:54:56 time: 2.5329 data_time: 0.1257 memory: 25864 grad_norm: 0.8819 loss: 1.3339 caption_loss_cls: 2.6260 instance_segmentation_loss_cls: 0.0491 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.8616 detection_loss_cls: 0.0599 detection_loss_reg: 0.4345 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9203 2023/10/15 19:39:29 - mmengine - INFO - Saving checkpoint at 143000 iterations 2023/10/15 19:44:45 - mmengine - INFO - Iter(train) [143100/320000] base_lr: 1.1735e-04 lr: 4.7441e-05 eta: 4 days, 23:19:28 time: 2.5381 data_time: 0.1262 memory: 26543 grad_norm: 0.8805 loss: 1.3318 caption_loss_cls: 2.6233 instance_segmentation_loss_cls: 0.0491 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.8624 detection_loss_cls: 0.0600 detection_loss_reg: 0.4352 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9197 2023/10/15 19:48:36 - mmengine - INFO - Iter(train) [143200/320000] base_lr: 1.1726e-04 lr: 4.7404e-05 eta: 4 days, 23:10:48 time: 2.5314 data_time: 0.1261 memory: 25864 grad_norm: 0.8790 loss: 1.3284 caption_loss_cls: 2.6219 instance_segmentation_loss_cls: 0.0491 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.8632 detection_loss_cls: 0.0599 detection_loss_reg: 0.4347 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9202 2023/10/15 19:53:12 - mmengine - INFO - Iter(train) [143300/320000] base_lr: 1.1716e-04 lr: 4.7366e-05 eta: 4 days, 23:19:32 time: 2.5340 data_time: 0.1262 memory: 26543 grad_norm: 0.8735 loss: 1.3221 caption_loss_cls: 2.6188 instance_segmentation_loss_cls: 0.0490 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.8633 detection_loss_cls: 0.0601 detection_loss_reg: 0.4359 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9196 2023/10/15 19:56:49 - mmengine - INFO - Iter(train) [143400/320000] base_lr: 1.1706e-04 lr: 4.7328e-05 eta: 4 days, 23:05:43 time: 2.5208 data_time: 0.1262 memory: 26543 grad_norm: 0.8788 loss: 1.3273 caption_loss_cls: 2.6193 instance_segmentation_loss_cls: 0.0488 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.8617 detection_loss_cls: 0.0601 detection_loss_reg: 0.4356 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9201 2023/10/15 20:00:32 - mmengine - INFO - Iter(train) [143500/320000] base_lr: 1.1697e-04 lr: 4.7290e-05 eta: 4 days, 22:54:13 time: 2.5068 data_time: 0.1261 memory: 26543 grad_norm: 0.8768 loss: 1.3306 caption_loss_cls: 2.6229 instance_segmentation_loss_cls: 0.0486 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.8617 detection_loss_cls: 0.0602 detection_loss_reg: 0.4357 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9194 2023/10/15 20:00:32 - mmengine - INFO - Saving checkpoint at 143500 iterations 2023/10/15 20:05:44 - mmengine - INFO - Iter(train) [143600/320000] base_lr: 1.1687e-04 lr: 4.7253e-05 eta: 4 days, 23:15:29 time: 2.5072 data_time: 0.1271 memory: 26543 grad_norm: 0.8734 loss: 1.3299 caption_loss_cls: 2.6240 instance_segmentation_loss_cls: 0.0486 instance_segmentation_loss_reg: 0.2962 instance_segmentation_loss_poly: 0.8624 detection_loss_cls: 0.0603 detection_loss_reg: 0.4367 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9177 2023/10/15 20:10:28 - mmengine - INFO - Iter(train) [143700/320000] base_lr: 1.1678e-04 lr: 4.7215e-05 eta: 4 days, 23:25:49 time: 2.5122 data_time: 0.1272 memory: 26543 grad_norm: 0.8735 loss: 1.3359 caption_loss_cls: 2.6243 instance_segmentation_loss_cls: 0.0484 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.8635 detection_loss_cls: 0.0606 detection_loss_reg: 0.4391 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9174 2023/10/15 20:14:35 - mmengine - INFO - Iter(train) [143800/320000] base_lr: 1.1668e-04 lr: 4.7177e-05 eta: 4 days, 23:23:06 time: 2.5194 data_time: 0.1272 memory: 25864 grad_norm: 0.8672 loss: 1.3324 caption_loss_cls: 2.6278 instance_segmentation_loss_cls: 0.0483 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.8640 detection_loss_cls: 0.0605 detection_loss_reg: 0.4390 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9165 2023/10/15 20:18:59 - mmengine - INFO - Iter(train) [143900/320000] base_lr: 1.1658e-04 lr: 4.7139e-05 eta: 4 days, 23:25:57 time: 2.5179 data_time: 0.1273 memory: 25864 grad_norm: 0.8705 loss: 1.3340 caption_loss_cls: 2.6259 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.8629 detection_loss_cls: 0.0605 detection_loss_reg: 0.4389 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9154 2023/10/15 20:23:00 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 20:23:00 - mmengine - INFO - Iter(train) [144000/320000] base_lr: 1.1649e-04 lr: 4.7101e-05 eta: 4 days, 23:20:55 time: 2.5209 data_time: 0.1273 memory: 25864 grad_norm: 0.8714 loss: 1.3319 caption_loss_cls: 2.6240 instance_segmentation_loss_cls: 0.0481 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.8643 detection_loss_cls: 0.0610 detection_loss_reg: 0.4416 semantic_segmentation_loss_cls: 0.0155 grounding_loss_reg: 3.9139 2023/10/15 20:23:00 - mmengine - INFO - Saving checkpoint at 144000 iterations 2023/10/15 20:27:30 - mmengine - INFO - Iter(train) [144100/320000] base_lr: 1.1639e-04 lr: 4.7064e-05 eta: 4 days, 23:25:31 time: 2.5299 data_time: 0.1423 memory: 26543 grad_norm: 0.8738 loss: 1.3327 caption_loss_cls: 2.6266 instance_segmentation_loss_cls: 0.0481 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.8649 detection_loss_cls: 0.0610 detection_loss_reg: 0.4423 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9108 2023/10/15 20:31:37 - mmengine - INFO - Iter(train) [144200/320000] base_lr: 1.1630e-04 lr: 4.7026e-05 eta: 4 days, 23:22:27 time: 2.5282 data_time: 0.1423 memory: 26543 grad_norm: 0.8811 loss: 1.3442 caption_loss_cls: 2.6277 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.8629 detection_loss_cls: 0.0608 detection_loss_reg: 0.4429 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9094 2023/10/15 20:35:47 - mmengine - INFO - Iter(train) [144300/320000] base_lr: 1.1620e-04 lr: 4.6988e-05 eta: 4 days, 23:20:01 time: 2.5339 data_time: 0.1423 memory: 26543 grad_norm: 0.8810 loss: 1.3452 caption_loss_cls: 2.6283 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.8632 detection_loss_cls: 0.0609 detection_loss_reg: 0.4436 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9086 2023/10/15 20:39:46 - mmengine - INFO - Iter(train) [144400/320000] base_lr: 1.1610e-04 lr: 4.6950e-05 eta: 4 days, 23:14:09 time: 2.5335 data_time: 0.1422 memory: 26543 grad_norm: 0.8754 loss: 1.3336 caption_loss_cls: 2.6280 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.8635 detection_loss_cls: 0.0609 detection_loss_reg: 0.4444 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9085 2023/10/15 20:43:36 - mmengine - INFO - Iter(train) [144500/320000] base_lr: 1.1601e-04 lr: 4.6912e-05 eta: 4 days, 23:05:22 time: 2.5305 data_time: 0.1422 memory: 25864 grad_norm: 0.8742 loss: 1.3357 caption_loss_cls: 2.6241 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.8639 detection_loss_cls: 0.0608 detection_loss_reg: 0.4446 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9080 2023/10/15 20:43:36 - mmengine - INFO - Saving checkpoint at 144500 iterations 2023/10/15 20:48:07 - mmengine - INFO - Iter(train) [144600/320000] base_lr: 1.1591e-04 lr: 4.6874e-05 eta: 4 days, 23:10:01 time: 2.5189 data_time: 0.1417 memory: 25864 grad_norm: 0.8760 loss: 1.3374 caption_loss_cls: 2.6243 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.8650 detection_loss_cls: 0.0609 detection_loss_reg: 0.4449 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9062 2023/10/15 20:52:35 - mmengine - INFO - Iter(train) [144700/320000] base_lr: 1.1582e-04 lr: 4.6836e-05 eta: 4 days, 23:13:07 time: 2.5266 data_time: 0.1417 memory: 26543 grad_norm: 0.8689 loss: 1.3290 caption_loss_cls: 2.6243 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_reg: 0.3009 instance_segmentation_loss_poly: 0.8653 detection_loss_cls: 0.0610 detection_loss_reg: 0.4457 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9062 2023/10/15 20:56:38 - mmengine - INFO - Iter(train) [144800/320000] base_lr: 1.1572e-04 lr: 4.6799e-05 eta: 4 days, 23:08:42 time: 2.5258 data_time: 0.1418 memory: 26543 grad_norm: 0.8715 loss: 1.3338 caption_loss_cls: 2.6231 instance_segmentation_loss_cls: 0.0474 instance_segmentation_loss_reg: 0.3013 instance_segmentation_loss_poly: 0.8654 detection_loss_cls: 0.0609 detection_loss_reg: 0.4456 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9042 2023/10/15 21:00:32 - mmengine - INFO - Iter(train) [144900/320000] base_lr: 1.1562e-04 lr: 4.6761e-05 eta: 4 days, 23:01:04 time: 2.5210 data_time: 0.1416 memory: 26543 grad_norm: 0.8715 loss: 1.3345 caption_loss_cls: 2.6222 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_reg: 0.3017 instance_segmentation_loss_poly: 0.8661 detection_loss_cls: 0.0609 detection_loss_reg: 0.4454 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9031 2023/10/15 21:04:58 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 21:04:58 - mmengine - INFO - Iter(train) [145000/320000] base_lr: 1.1553e-04 lr: 4.6723e-05 eta: 4 days, 23:03:36 time: 2.5244 data_time: 0.1416 memory: 26543 grad_norm: 0.8706 loss: 1.3358 caption_loss_cls: 2.6236 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_reg: 0.3017 instance_segmentation_loss_poly: 0.8671 detection_loss_cls: 0.0610 detection_loss_reg: 0.4462 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.9012 2023/10/15 21:04:58 - mmengine - INFO - Saving checkpoint at 145000 iterations 2023/10/15 21:09:32 - mmengine - INFO - Iter(train) [145100/320000] base_lr: 1.1543e-04 lr: 4.6685e-05 eta: 4 days, 23:08:14 time: 2.5215 data_time: 0.1413 memory: 26543 grad_norm: 0.8692 loss: 1.3388 caption_loss_cls: 2.6226 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_reg: 0.3021 instance_segmentation_loss_poly: 0.8676 detection_loss_cls: 0.0611 detection_loss_reg: 0.4467 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8998 2023/10/15 21:13:24 - mmengine - INFO - Iter(train) [145200/320000] base_lr: 1.1533e-04 lr: 4.6647e-05 eta: 4 days, 23:00:13 time: 2.5226 data_time: 0.1412 memory: 26543 grad_norm: 0.8693 loss: 1.3379 caption_loss_cls: 2.6227 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_reg: 0.3025 instance_segmentation_loss_poly: 0.8680 detection_loss_cls: 0.0612 detection_loss_reg: 0.4469 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8994 2023/10/15 21:17:34 - mmengine - INFO - Iter(train) [145300/320000] base_lr: 1.1524e-04 lr: 4.6609e-05 eta: 4 days, 22:57:28 time: 2.5195 data_time: 0.1412 memory: 26543 grad_norm: 0.8687 loss: 1.3370 caption_loss_cls: 2.6236 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_reg: 0.3033 instance_segmentation_loss_poly: 0.8686 detection_loss_cls: 0.0613 detection_loss_reg: 0.4474 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8984 2023/10/15 21:21:16 - mmengine - INFO - Iter(train) [145400/320000] base_lr: 1.1514e-04 lr: 4.6571e-05 eta: 4 days, 22:46:48 time: 2.5139 data_time: 0.1410 memory: 25864 grad_norm: 0.8714 loss: 1.3306 caption_loss_cls: 2.6246 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_reg: 0.3033 instance_segmentation_loss_poly: 0.8685 detection_loss_cls: 0.0611 detection_loss_reg: 0.4471 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8947 2023/10/15 21:25:21 - mmengine - INFO - Iter(train) [145500/320000] base_lr: 1.1505e-04 lr: 4.6533e-05 eta: 4 days, 22:42:32 time: 2.5185 data_time: 0.1411 memory: 26543 grad_norm: 0.8721 loss: 1.3333 caption_loss_cls: 2.6261 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_reg: 0.3032 instance_segmentation_loss_poly: 0.8673 detection_loss_cls: 0.0608 detection_loss_reg: 0.4468 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8927 2023/10/15 21:25:21 - mmengine - INFO - Saving checkpoint at 145500 iterations 2023/10/15 21:30:30 - mmengine - INFO - Iter(train) [145600/320000] base_lr: 1.1495e-04 lr: 4.6496e-05 eta: 4 days, 22:57:00 time: 2.5232 data_time: 0.1415 memory: 25864 grad_norm: 0.8782 loss: 1.3357 caption_loss_cls: 2.6277 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_reg: 0.3037 instance_segmentation_loss_poly: 0.8672 detection_loss_cls: 0.0608 detection_loss_reg: 0.4469 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8912 2023/10/15 21:34:50 - mmengine - INFO - Iter(train) [145700/320000] base_lr: 1.1485e-04 lr: 4.6458e-05 eta: 4 days, 22:57:08 time: 2.5291 data_time: 0.1415 memory: 26543 grad_norm: 0.8737 loss: 1.3310 caption_loss_cls: 2.6276 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_reg: 0.3048 instance_segmentation_loss_poly: 0.8685 detection_loss_cls: 0.0609 detection_loss_reg: 0.4477 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8906 2023/10/15 21:38:45 - mmengine - INFO - Iter(train) [145800/320000] base_lr: 1.1476e-04 lr: 4.6420e-05 eta: 4 days, 22:49:58 time: 2.5321 data_time: 0.1415 memory: 26543 grad_norm: 0.8745 loss: 1.3346 caption_loss_cls: 2.6267 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_reg: 0.3054 instance_segmentation_loss_poly: 0.8688 detection_loss_cls: 0.0610 detection_loss_reg: 0.4480 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8889 2023/10/15 21:42:34 - mmengine - INFO - Iter(train) [145900/320000] base_lr: 1.1466e-04 lr: 4.6382e-05 eta: 4 days, 22:41:16 time: 2.5386 data_time: 0.1417 memory: 25864 grad_norm: 0.8643 loss: 1.3351 caption_loss_cls: 2.6254 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8696 detection_loss_cls: 0.0609 detection_loss_reg: 0.4474 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8874 2023/10/15 21:45:58 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 21:45:58 - mmengine - INFO - Iter(train) [146000/320000] base_lr: 1.1457e-04 lr: 4.6344e-05 eta: 4 days, 22:25:43 time: 2.5286 data_time: 0.1416 memory: 25864 grad_norm: 0.8635 loss: 1.3358 caption_loss_cls: 2.6285 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.8696 detection_loss_cls: 0.0609 detection_loss_reg: 0.4482 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8847 2023/10/15 21:45:58 - mmengine - INFO - Saving checkpoint at 146000 iterations 2023/10/15 21:51:08 - mmengine - INFO - Iter(train) [146100/320000] base_lr: 1.1447e-04 lr: 4.6306e-05 eta: 4 days, 22:39:14 time: 2.5330 data_time: 0.1417 memory: 25864 grad_norm: 0.8613 loss: 1.3352 caption_loss_cls: 2.6304 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8697 detection_loss_cls: 0.0610 detection_loss_reg: 0.4486 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8818 2023/10/15 21:55:05 - mmengine - INFO - Iter(train) [146200/320000] base_lr: 1.1437e-04 lr: 4.6268e-05 eta: 4 days, 22:32:54 time: 2.5300 data_time: 0.1418 memory: 25864 grad_norm: 0.8610 loss: 1.3352 caption_loss_cls: 2.6285 instance_segmentation_loss_cls: 0.0464 instance_segmentation_loss_reg: 0.3072 instance_segmentation_loss_poly: 0.8702 detection_loss_cls: 0.0611 detection_loss_reg: 0.4489 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8813 2023/10/15 21:59:18 - mmengine - INFO - Iter(train) [146300/320000] base_lr: 1.1428e-04 lr: 4.6230e-05 eta: 4 days, 22:30:46 time: 2.5268 data_time: 0.1418 memory: 25864 grad_norm: 0.8626 loss: 1.3338 caption_loss_cls: 2.6257 instance_segmentation_loss_cls: 0.0436 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8664 detection_loss_cls: 0.0612 detection_loss_reg: 0.4493 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8790 2023/10/15 22:03:50 - mmengine - INFO - Iter(train) [146400/320000] base_lr: 1.1418e-04 lr: 4.6192e-05 eta: 4 days, 22:33:43 time: 2.5327 data_time: 0.1418 memory: 26543 grad_norm: 0.8632 loss: 1.3320 caption_loss_cls: 2.6242 instance_segmentation_loss_cls: 0.0434 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8642 detection_loss_cls: 0.0612 detection_loss_reg: 0.4492 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8787 2023/10/15 22:07:42 - mmengine - INFO - Iter(train) [146500/320000] base_lr: 1.1408e-04 lr: 4.6154e-05 eta: 4 days, 22:25:58 time: 2.5409 data_time: 0.1418 memory: 25864 grad_norm: 0.8602 loss: 1.3335 caption_loss_cls: 2.6237 instance_segmentation_loss_cls: 0.0434 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.8639 detection_loss_cls: 0.0613 detection_loss_reg: 0.4496 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8783 2023/10/15 22:07:42 - mmengine - INFO - Saving checkpoint at 146500 iterations 2023/10/15 22:12:21 - mmengine - INFO - Iter(train) [146600/320000] base_lr: 1.1399e-04 lr: 4.6116e-05 eta: 4 days, 22:30:31 time: 2.5346 data_time: 0.1415 memory: 26543 grad_norm: 0.8621 loss: 1.3347 caption_loss_cls: 2.6224 instance_segmentation_loss_cls: 0.0434 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 0.8629 detection_loss_cls: 0.0614 detection_loss_reg: 0.4507 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8778 2023/10/15 22:16:16 - mmengine - INFO - Iter(train) [146700/320000] base_lr: 1.1389e-04 lr: 4.6078e-05 eta: 4 days, 22:23:37 time: 2.5380 data_time: 0.1415 memory: 26543 grad_norm: 0.8648 loss: 1.3380 caption_loss_cls: 2.6235 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8624 detection_loss_cls: 0.0613 detection_loss_reg: 0.4503 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8771 2023/10/15 22:19:53 - mmengine - INFO - Iter(train) [146800/320000] base_lr: 1.1379e-04 lr: 4.6040e-05 eta: 4 days, 22:11:56 time: 2.5311 data_time: 0.1414 memory: 25864 grad_norm: 0.8663 loss: 1.3341 caption_loss_cls: 2.6240 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3059 instance_segmentation_loss_poly: 0.8605 detection_loss_cls: 0.0613 detection_loss_reg: 0.4509 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8761 2023/10/15 22:24:12 - mmengine - INFO - Iter(train) [146900/320000] base_lr: 1.1370e-04 lr: 4.6002e-05 eta: 4 days, 22:11:15 time: 2.5281 data_time: 0.1414 memory: 25864 grad_norm: 0.8617 loss: 1.3316 caption_loss_cls: 2.6228 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8597 detection_loss_cls: 0.0613 detection_loss_reg: 0.4520 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8752 2023/10/15 22:27:49 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 22:27:49 - mmengine - INFO - Iter(train) [147000/320000] base_lr: 1.1360e-04 lr: 4.5964e-05 eta: 4 days, 21:59:57 time: 2.5246 data_time: 0.1414 memory: 26543 grad_norm: 0.8608 loss: 1.3321 caption_loss_cls: 2.6208 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.8592 detection_loss_cls: 0.0612 detection_loss_reg: 0.4522 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8732 2023/10/15 22:27:49 - mmengine - INFO - Saving checkpoint at 147000 iterations 2023/10/15 22:33:23 - mmengine - INFO - Iter(train) [147100/320000] base_lr: 1.1351e-04 lr: 4.5926e-05 eta: 4 days, 22:17:51 time: 2.5292 data_time: 0.1421 memory: 26543 grad_norm: 0.8625 loss: 1.3373 caption_loss_cls: 2.6208 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8596 detection_loss_cls: 0.0614 detection_loss_reg: 0.4532 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8716 2023/10/15 22:38:04 - mmengine - INFO - Iter(train) [147200/320000] base_lr: 1.1341e-04 lr: 4.5888e-05 eta: 4 days, 22:22:12 time: 2.5417 data_time: 0.1423 memory: 26543 grad_norm: 0.8602 loss: 1.3372 caption_loss_cls: 2.6213 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8600 detection_loss_cls: 0.0617 detection_loss_reg: 0.4543 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8707 2023/10/15 22:41:56 - mmengine - INFO - Iter(train) [147300/320000] base_lr: 1.1331e-04 lr: 4.5850e-05 eta: 4 days, 22:14:39 time: 2.5307 data_time: 0.1421 memory: 25864 grad_norm: 0.8664 loss: 1.3440 caption_loss_cls: 2.6256 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3064 instance_segmentation_loss_poly: 0.8595 detection_loss_cls: 0.0618 detection_loss_reg: 0.4539 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8704 2023/10/15 22:46:22 - mmengine - INFO - Iter(train) [147400/320000] base_lr: 1.1322e-04 lr: 4.5812e-05 eta: 4 days, 22:15:07 time: 2.5428 data_time: 0.1423 memory: 26543 grad_norm: 0.8621 loss: 1.3401 caption_loss_cls: 2.6265 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8589 detection_loss_cls: 0.0617 detection_loss_reg: 0.4544 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8694 2023/10/15 22:50:41 - mmengine - INFO - Iter(train) [147500/320000] base_lr: 1.1312e-04 lr: 4.5774e-05 eta: 4 days, 22:14:04 time: 2.5520 data_time: 0.1424 memory: 26543 grad_norm: 0.8593 loss: 1.3355 caption_loss_cls: 2.6272 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8585 detection_loss_cls: 0.0618 detection_loss_reg: 0.4549 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8678 2023/10/15 22:50:41 - mmengine - INFO - Saving checkpoint at 147500 iterations 2023/10/15 22:55:43 - mmengine - INFO - Iter(train) [147600/320000] base_lr: 1.1302e-04 lr: 4.5736e-05 eta: 4 days, 22:23:06 time: 2.5495 data_time: 0.1424 memory: 26543 grad_norm: 0.8655 loss: 1.3414 caption_loss_cls: 2.6254 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_reg: 0.3075 instance_segmentation_loss_poly: 0.8598 detection_loss_cls: 0.0618 detection_loss_reg: 0.4545 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8659 2023/10/15 22:59:47 - mmengine - INFO - Iter(train) [147700/320000] base_lr: 1.1293e-04 lr: 4.5698e-05 eta: 4 days, 22:18:04 time: 2.5395 data_time: 0.1424 memory: 26543 grad_norm: 0.8711 loss: 1.3416 caption_loss_cls: 2.6240 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_reg: 0.3082 instance_segmentation_loss_poly: 0.8605 detection_loss_cls: 0.0618 detection_loss_reg: 0.4544 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8648 2023/10/15 23:03:32 - mmengine - INFO - Iter(train) [147800/320000] base_lr: 1.1283e-04 lr: 4.5660e-05 eta: 4 days, 22:08:42 time: 2.5337 data_time: 0.1423 memory: 26543 grad_norm: 0.8758 loss: 1.3413 caption_loss_cls: 2.6223 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3083 instance_segmentation_loss_poly: 0.8602 detection_loss_cls: 0.0618 detection_loss_reg: 0.4543 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8637 2023/10/15 23:07:19 - mmengine - INFO - Iter(train) [147900/320000] base_lr: 1.1273e-04 lr: 4.5622e-05 eta: 4 days, 22:00:00 time: 2.5246 data_time: 0.1423 memory: 26543 grad_norm: 0.8770 loss: 1.3449 caption_loss_cls: 2.6224 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_reg: 0.3082 instance_segmentation_loss_poly: 0.8591 detection_loss_cls: 0.0617 detection_loss_reg: 0.4540 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8625 2023/10/15 23:11:04 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 23:11:04 - mmengine - INFO - Iter(train) [148000/320000] base_lr: 1.1264e-04 lr: 4.5584e-05 eta: 4 days, 21:50:58 time: 2.5206 data_time: 0.1422 memory: 26543 grad_norm: 0.8771 loss: 1.3426 caption_loss_cls: 2.6230 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3074 instance_segmentation_loss_poly: 0.8572 detection_loss_cls: 0.0617 detection_loss_reg: 0.4542 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8622 2023/10/15 23:11:04 - mmengine - INFO - Saving checkpoint at 148000 iterations 2023/10/15 23:15:38 - mmengine - INFO - Iter(train) [148100/320000] base_lr: 1.1254e-04 lr: 4.5546e-05 eta: 4 days, 21:53:01 time: 2.5216 data_time: 0.1424 memory: 25864 grad_norm: 0.8797 loss: 1.3443 caption_loss_cls: 2.6184 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3074 instance_segmentation_loss_poly: 0.8568 detection_loss_cls: 0.0617 detection_loss_reg: 0.4540 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8604 2023/10/15 23:19:33 - mmengine - INFO - Iter(train) [148200/320000] base_lr: 1.1244e-04 lr: 4.5508e-05 eta: 4 days, 21:46:09 time: 2.5185 data_time: 0.1423 memory: 26543 grad_norm: 0.8783 loss: 1.3417 caption_loss_cls: 2.6181 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3076 instance_segmentation_loss_poly: 0.8565 detection_loss_cls: 0.0614 detection_loss_reg: 0.4531 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8589 2023/10/15 23:23:17 - mmengine - INFO - Iter(train) [148300/320000] base_lr: 1.1235e-04 lr: 4.5470e-05 eta: 4 days, 21:36:56 time: 2.5121 data_time: 0.1423 memory: 26543 grad_norm: 0.8790 loss: 1.3414 caption_loss_cls: 2.6199 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3074 instance_segmentation_loss_poly: 0.8557 detection_loss_cls: 0.0615 detection_loss_reg: 0.4534 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8579 2023/10/15 23:27:15 - mmengine - INFO - Iter(train) [148400/320000] base_lr: 1.1225e-04 lr: 4.5432e-05 eta: 4 days, 21:30:58 time: 2.5119 data_time: 0.1423 memory: 26543 grad_norm: 0.8828 loss: 1.3461 caption_loss_cls: 2.6205 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3072 instance_segmentation_loss_poly: 0.8550 detection_loss_cls: 0.0615 detection_loss_reg: 0.4537 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8558 2023/10/15 23:31:16 - mmengine - INFO - Iter(train) [148500/320000] base_lr: 1.1215e-04 lr: 4.5394e-05 eta: 4 days, 21:25:45 time: 2.5148 data_time: 0.1423 memory: 26543 grad_norm: 0.8792 loss: 1.3398 caption_loss_cls: 2.6184 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3076 instance_segmentation_loss_poly: 0.8554 detection_loss_cls: 0.0615 detection_loss_reg: 0.4540 semantic_segmentation_loss_cls: 0.0154 grounding_loss_reg: 3.8549 2023/10/15 23:31:16 - mmengine - INFO - Saving checkpoint at 148500 iterations 2023/10/15 23:36:01 - mmengine - INFO - Iter(train) [148600/320000] base_lr: 1.1206e-04 lr: 4.5356e-05 eta: 4 days, 21:29:52 time: 2.5180 data_time: 0.1431 memory: 25864 grad_norm: 0.8767 loss: 1.3390 caption_loss_cls: 2.6195 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3077 instance_segmentation_loss_poly: 0.8555 detection_loss_cls: 0.0615 detection_loss_reg: 0.4547 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8534 2023/10/15 23:39:28 - mmengine - INFO - Iter(train) [148700/320000] base_lr: 1.1196e-04 lr: 4.5318e-05 eta: 4 days, 21:17:15 time: 2.5030 data_time: 0.1429 memory: 25864 grad_norm: 0.8835 loss: 1.3484 caption_loss_cls: 2.6207 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3077 instance_segmentation_loss_poly: 0.8553 detection_loss_cls: 0.0616 detection_loss_reg: 0.4560 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8536 2023/10/15 23:43:02 - mmengine - INFO - Iter(train) [148800/320000] base_lr: 1.1186e-04 lr: 4.5280e-05 eta: 4 days, 21:06:05 time: 2.4955 data_time: 0.1428 memory: 25864 grad_norm: 0.8877 loss: 1.3562 caption_loss_cls: 2.6206 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3082 instance_segmentation_loss_poly: 0.8560 detection_loss_cls: 0.0618 detection_loss_reg: 0.4572 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8521 2023/10/15 23:47:24 - mmengine - INFO - Iter(train) [148900/320000] base_lr: 1.1177e-04 lr: 4.5242e-05 eta: 4 days, 21:05:25 time: 2.5027 data_time: 0.1430 memory: 26543 grad_norm: 0.8882 loss: 1.3575 caption_loss_cls: 2.6186 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3085 instance_segmentation_loss_poly: 0.8561 detection_loss_cls: 0.0618 detection_loss_reg: 0.4581 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8504 2023/10/15 23:51:31 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/15 23:51:31 - mmengine - INFO - Iter(train) [149000/320000] base_lr: 1.1167e-04 lr: 4.5204e-05 eta: 4 days, 21:01:29 time: 2.4980 data_time: 0.1429 memory: 26543 grad_norm: 0.8892 loss: 1.3538 caption_loss_cls: 2.6164 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3083 instance_segmentation_loss_poly: 0.8547 detection_loss_cls: 0.0617 detection_loss_reg: 0.4570 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8496 2023/10/15 23:51:31 - mmengine - INFO - Saving checkpoint at 149000 iterations 2023/10/15 23:56:41 - mmengine - INFO - Iter(train) [149100/320000] base_lr: 1.1157e-04 lr: 4.5166e-05 eta: 4 days, 21:10:34 time: 2.5069 data_time: 0.1435 memory: 26543 grad_norm: 0.8885 loss: 1.3530 caption_loss_cls: 2.6150 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3086 instance_segmentation_loss_poly: 0.8548 detection_loss_cls: 0.0608 detection_loss_reg: 0.4560 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8488 2023/10/16 00:00:40 - mmengine - INFO - Iter(train) [149200/320000] base_lr: 1.1148e-04 lr: 4.5128e-05 eta: 4 days, 21:04:50 time: 2.5086 data_time: 0.1435 memory: 26543 grad_norm: 0.8871 loss: 1.3531 caption_loss_cls: 2.6147 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_reg: 0.3088 instance_segmentation_loss_poly: 0.8553 detection_loss_cls: 0.0608 detection_loss_reg: 0.4556 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8480 2023/10/16 00:04:40 - mmengine - INFO - Iter(train) [149300/320000] base_lr: 1.1138e-04 lr: 4.5090e-05 eta: 4 days, 20:59:26 time: 2.5064 data_time: 0.1435 memory: 25864 grad_norm: 0.8883 loss: 1.3535 caption_loss_cls: 2.6136 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3085 instance_segmentation_loss_poly: 0.8537 detection_loss_cls: 0.0608 detection_loss_reg: 0.4559 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8472 2023/10/16 00:08:57 - mmengine - INFO - Iter(train) [149400/320000] base_lr: 1.1128e-04 lr: 4.5052e-05 eta: 4 days, 20:57:21 time: 2.5148 data_time: 0.1437 memory: 25864 grad_norm: 0.8856 loss: 1.3564 caption_loss_cls: 2.6124 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_reg: 0.3091 instance_segmentation_loss_poly: 0.8546 detection_loss_cls: 0.0607 detection_loss_reg: 0.4555 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8472 2023/10/16 00:12:57 - mmengine - INFO - Iter(train) [149500/320000] base_lr: 1.1119e-04 lr: 4.5014e-05 eta: 4 days, 20:51:51 time: 2.5138 data_time: 0.1436 memory: 26543 grad_norm: 0.8848 loss: 1.3546 caption_loss_cls: 2.6083 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_reg: 0.3093 instance_segmentation_loss_poly: 0.8547 detection_loss_cls: 0.0607 detection_loss_reg: 0.4565 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8461 2023/10/16 00:12:57 - mmengine - INFO - Saving checkpoint at 149500 iterations 2023/10/16 00:17:23 - mmengine - INFO - Iter(train) [149600/320000] base_lr: 1.1109e-04 lr: 4.4975e-05 eta: 4 days, 20:51:39 time: 2.5030 data_time: 0.1437 memory: 26543 grad_norm: 0.8835 loss: 1.3524 caption_loss_cls: 2.6071 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_reg: 0.3089 instance_segmentation_loss_poly: 0.8539 detection_loss_cls: 0.0608 detection_loss_reg: 0.4572 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8449 2023/10/16 00:21:08 - mmengine - INFO - Iter(train) [149700/320000] base_lr: 1.1099e-04 lr: 4.4937e-05 eta: 4 days, 20:43:09 time: 2.4941 data_time: 0.1435 memory: 25864 grad_norm: 0.8903 loss: 1.3564 caption_loss_cls: 2.6069 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3080 instance_segmentation_loss_poly: 0.8515 detection_loss_cls: 0.0607 detection_loss_reg: 0.4572 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8446 2023/10/16 00:24:43 - mmengine - INFO - Iter(train) [149800/320000] base_lr: 1.1090e-04 lr: 4.4899e-05 eta: 4 days, 20:32:35 time: 2.4890 data_time: 0.1434 memory: 25864 grad_norm: 0.8893 loss: 1.3540 caption_loss_cls: 2.6065 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3081 instance_segmentation_loss_poly: 0.8517 detection_loss_cls: 0.0608 detection_loss_reg: 0.4576 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8432 2023/10/16 00:28:47 - mmengine - INFO - Iter(train) [149900/320000] base_lr: 1.1080e-04 lr: 4.4861e-05 eta: 4 days, 20:28:04 time: 2.4928 data_time: 0.1433 memory: 26543 grad_norm: 0.8826 loss: 1.3490 caption_loss_cls: 2.6063 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_reg: 0.3082 instance_segmentation_loss_poly: 0.8518 detection_loss_cls: 0.0607 detection_loss_reg: 0.4570 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8437 2023/10/16 00:32:18 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/16 00:32:18 - mmengine - INFO - Iter(train) [150000/320000] base_lr: 1.1070e-04 lr: 4.4823e-05 eta: 4 days, 20:17:00 time: 2.4945 data_time: 0.1433 memory: 25864 grad_norm: 0.8856 loss: 1.3460 caption_loss_cls: 2.6045 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3081 instance_segmentation_loss_poly: 0.8508 detection_loss_cls: 0.0607 detection_loss_reg: 0.4571 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8416 2023/10/16 00:32:18 - mmengine - INFO - Saving checkpoint at 150000 iterations 2023/10/16 00:36:46 - mmengine - INFO - Iter(train) [150100/320000] base_lr: 1.1061e-04 lr: 4.4785e-05 eta: 4 days, 20:17:13 time: 2.4844 data_time: 0.1436 memory: 26543 grad_norm: 0.8877 loss: 1.3494 caption_loss_cls: 2.6044 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3077 instance_segmentation_loss_poly: 0.8493 detection_loss_cls: 0.0609 detection_loss_reg: 0.4582 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8406 2023/10/16 00:40:54 - mmengine - INFO - Iter(train) [150200/320000] base_lr: 1.1051e-04 lr: 4.4747e-05 eta: 4 days, 20:13:23 time: 2.4870 data_time: 0.1435 memory: 26543 grad_norm: 0.8891 loss: 1.3457 caption_loss_cls: 2.6021 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3075 instance_segmentation_loss_poly: 0.8490 detection_loss_cls: 0.0608 detection_loss_reg: 0.4585 semantic_segmentation_loss_cls: 0.0153 grounding_loss_reg: 3.8375 2023/10/16 00:45:10 - mmengine - INFO - Iter(train) [150300/320000] base_lr: 1.1041e-04 lr: 4.4709e-05 eta: 4 days, 20:11:01 time: 2.4876 data_time: 0.1434 memory: 26543 grad_norm: 0.8860 loss: 1.3414 caption_loss_cls: 2.6023 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8464 detection_loss_cls: 0.0608 detection_loss_reg: 0.4586 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8360 2023/10/16 00:49:21 - mmengine - INFO - Iter(train) [150400/320000] base_lr: 1.1032e-04 lr: 4.4671e-05 eta: 4 days, 20:07:45 time: 2.4823 data_time: 0.1434 memory: 26543 grad_norm: 0.8889 loss: 1.3425 caption_loss_cls: 2.6009 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3066 instance_segmentation_loss_poly: 0.8462 detection_loss_cls: 0.0608 detection_loss_reg: 0.4587 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8347 2023/10/16 00:53:45 - mmengine - INFO - Iter(train) [150500/320000] base_lr: 1.1022e-04 lr: 4.4632e-05 eta: 4 days, 20:06:56 time: 2.4903 data_time: 0.1434 memory: 25864 grad_norm: 0.8847 loss: 1.3344 caption_loss_cls: 2.6014 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 0.8454 detection_loss_cls: 0.0608 detection_loss_reg: 0.4587 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8339 2023/10/16 00:53:45 - mmengine - INFO - Saving checkpoint at 150500 iterations 2023/10/16 00:58:38 - mmengine - INFO - Iter(train) [150600/320000] base_lr: 1.1012e-04 lr: 4.4594e-05 eta: 4 days, 20:11:33 time: 2.4939 data_time: 0.1430 memory: 25864 grad_norm: 0.8809 loss: 1.3308 caption_loss_cls: 2.5996 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8457 detection_loss_cls: 0.0610 detection_loss_reg: 0.4595 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8335 2023/10/16 01:02:44 - mmengine - INFO - Iter(train) [150700/320000] base_lr: 1.1003e-04 lr: 4.4556e-05 eta: 4 days, 20:07:18 time: 2.4966 data_time: 0.1430 memory: 26543 grad_norm: 0.8788 loss: 1.3250 caption_loss_cls: 2.5995 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8452 detection_loss_cls: 0.0609 detection_loss_reg: 0.4589 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8320 2023/10/16 01:07:00 - mmengine - INFO - Iter(train) [150800/320000] base_lr: 1.0993e-04 lr: 4.4518e-05 eta: 4 days, 20:04:43 time: 2.5064 data_time: 0.1430 memory: 26543 grad_norm: 0.8739 loss: 1.3170 caption_loss_cls: 2.5971 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8451 detection_loss_cls: 0.0608 detection_loss_reg: 0.4583 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8315 2023/10/16 01:10:54 - mmengine - INFO - Iter(train) [150900/320000] base_lr: 1.0983e-04 lr: 4.4480e-05 eta: 4 days, 19:58:19 time: 2.5002 data_time: 0.1429 memory: 26543 grad_norm: 0.8789 loss: 1.3210 caption_loss_cls: 2.5952 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8433 detection_loss_cls: 0.0607 detection_loss_reg: 0.4582 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8308 2023/10/16 01:14:54 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/16 01:14:54 - mmengine - INFO - Iter(train) [151000/320000] base_lr: 1.0974e-04 lr: 4.4442e-05 eta: 4 days, 19:52:50 time: 2.5058 data_time: 0.1431 memory: 26543 grad_norm: 0.8790 loss: 1.3214 caption_loss_cls: 2.5969 instance_segmentation_loss_cls: 0.0425 instance_segmentation_loss_reg: 0.3076 instance_segmentation_loss_poly: 0.8455 detection_loss_cls: 0.0609 detection_loss_reg: 0.4582 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8288 2023/10/16 01:14:54 - mmengine - INFO - Saving checkpoint at 151000 iterations 2023/10/16 01:19:22 - mmengine - INFO - Iter(train) [151100/320000] base_lr: 1.0964e-04 lr: 4.4404e-05 eta: 4 days, 19:52:37 time: 2.4894 data_time: 0.1428 memory: 25864 grad_norm: 0.8813 loss: 1.3255 caption_loss_cls: 2.6013 instance_segmentation_loss_cls: 0.0425 instance_segmentation_loss_reg: 0.3077 instance_segmentation_loss_poly: 0.8453 detection_loss_cls: 0.0609 detection_loss_reg: 0.4584 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8282 2023/10/16 01:23:19 - mmengine - INFO - Iter(train) [151200/320000] base_lr: 1.0954e-04 lr: 4.4366e-05 eta: 4 days, 19:46:38 time: 2.4784 data_time: 0.1428 memory: 26543 grad_norm: 0.8873 loss: 1.3327 caption_loss_cls: 2.6015 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3081 instance_segmentation_loss_poly: 0.8456 detection_loss_cls: 0.0608 detection_loss_reg: 0.4586 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8271 2023/10/16 01:27:17 - mmengine - INFO - Iter(train) [151300/320000] base_lr: 1.0945e-04 lr: 4.4327e-05 eta: 4 days, 19:41:01 time: 2.4799 data_time: 0.1429 memory: 26543 grad_norm: 0.8883 loss: 1.3303 caption_loss_cls: 2.6019 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8442 detection_loss_cls: 0.0607 detection_loss_reg: 0.4586 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8251 2023/10/16 01:31:09 - mmengine - INFO - Iter(train) [151400/320000] base_lr: 1.0935e-04 lr: 4.4289e-05 eta: 4 days, 19:34:18 time: 2.4716 data_time: 0.1427 memory: 25864 grad_norm: 0.8901 loss: 1.3275 caption_loss_cls: 2.6002 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_reg: 0.3075 instance_segmentation_loss_poly: 0.8430 detection_loss_cls: 0.0607 detection_loss_reg: 0.4572 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8240 2023/10/16 01:35:03 - mmengine - INFO - Iter(train) [151500/320000] base_lr: 1.0925e-04 lr: 4.4251e-05 eta: 4 days, 19:27:48 time: 2.4650 data_time: 0.1426 memory: 25864 grad_norm: 0.8909 loss: 1.3313 caption_loss_cls: 2.6043 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_reg: 0.3070 instance_segmentation_loss_poly: 0.8418 detection_loss_cls: 0.0608 detection_loss_reg: 0.4579 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8233 2023/10/16 01:35:03 - mmengine - INFO - Saving checkpoint at 151500 iterations 2023/10/16 01:40:01 - mmengine - INFO - Iter(train) [151600/320000] base_lr: 1.0916e-04 lr: 4.4213e-05 eta: 4 days, 19:32:45 time: 2.4641 data_time: 0.1422 memory: 26543 grad_norm: 0.8901 loss: 1.3279 caption_loss_cls: 2.6025 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8413 detection_loss_cls: 0.0607 detection_loss_reg: 0.4577 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8214 2023/10/16 01:44:17 - mmengine - INFO - Iter(train) [151700/320000] base_lr: 1.0906e-04 lr: 4.4175e-05 eta: 4 days, 19:30:03 time: 2.4671 data_time: 0.1422 memory: 26543 grad_norm: 0.8878 loss: 1.3277 caption_loss_cls: 2.6025 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_reg: 0.3063 instance_segmentation_loss_poly: 0.8401 detection_loss_cls: 0.0606 detection_loss_reg: 0.4582 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8203 2023/10/16 01:48:09 - mmengine - INFO - Iter(train) [151800/320000] base_lr: 1.0896e-04 lr: 4.4137e-05 eta: 4 days, 19:23:24 time: 2.4690 data_time: 0.1422 memory: 25864 grad_norm: 0.8914 loss: 1.3330 caption_loss_cls: 2.6047 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_reg: 0.3062 instance_segmentation_loss_poly: 0.8402 detection_loss_cls: 0.0606 detection_loss_reg: 0.4579 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8173 2023/10/16 01:52:10 - mmengine - INFO - Iter(train) [151900/320000] base_lr: 1.0887e-04 lr: 4.4098e-05 eta: 4 days, 19:18:21 time: 2.4726 data_time: 0.1422 memory: 26543 grad_norm: 0.8899 loss: 1.3348 caption_loss_cls: 2.6069 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8396 detection_loss_cls: 0.0606 detection_loss_reg: 0.4577 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8164 2023/10/16 01:55:41 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/16 01:55:41 - mmengine - INFO - Iter(train) [152000/320000] base_lr: 1.0877e-04 lr: 4.4060e-05 eta: 4 days, 19:07:59 time: 2.4688 data_time: 0.1423 memory: 25864 grad_norm: 0.8892 loss: 1.3315 caption_loss_cls: 2.6025 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_reg: 0.3057 instance_segmentation_loss_poly: 0.8391 detection_loss_cls: 0.0604 detection_loss_reg: 0.4572 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8147 2023/10/16 01:55:41 - mmengine - INFO - Saving checkpoint at 152000 iterations 2023/10/16 02:00:40 - mmengine - INFO - Iter(train) [152100/320000] base_lr: 1.0867e-04 lr: 4.4022e-05 eta: 4 days, 19:12:49 time: 2.4753 data_time: 0.1423 memory: 26543 grad_norm: 0.8857 loss: 1.3265 caption_loss_cls: 2.6005 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_reg: 0.3061 instance_segmentation_loss_poly: 0.8396 detection_loss_cls: 0.0605 detection_loss_reg: 0.4577 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8130 2023/10/16 02:04:24 - mmengine - INFO - Iter(train) [152200/320000] base_lr: 1.0857e-04 lr: 4.3984e-05 eta: 4 days, 19:04:51 time: 2.4726 data_time: 0.1423 memory: 26543 grad_norm: 0.8890 loss: 1.3283 caption_loss_cls: 2.5939 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_reg: 0.3065 instance_segmentation_loss_poly: 0.8396 detection_loss_cls: 0.0605 detection_loss_reg: 0.4583 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8118 2023/10/16 02:08:22 - mmengine - INFO - Iter(train) [152300/320000] base_lr: 1.0848e-04 lr: 4.3946e-05 eta: 4 days, 18:59:09 time: 2.4760 data_time: 0.1423 memory: 25864 grad_norm: 0.8929 loss: 1.3275 caption_loss_cls: 2.5941 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8401 detection_loss_cls: 0.0605 detection_loss_reg: 0.4587 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8111 2023/10/16 02:12:59 - mmengine - INFO - Iter(train) [152400/320000] base_lr: 1.0838e-04 lr: 4.3908e-05 eta: 4 days, 19:00:03 time: 2.4857 data_time: 0.1423 memory: 26543 grad_norm: 0.8904 loss: 1.3252 caption_loss_cls: 2.5947 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3069 instance_segmentation_loss_poly: 0.8396 detection_loss_cls: 0.0606 detection_loss_reg: 0.4590 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8094 2023/10/16 02:16:50 - mmengine - INFO - Iter(train) [152500/320000] base_lr: 1.0828e-04 lr: 4.3869e-05 eta: 4 days, 18:53:18 time: 2.4831 data_time: 0.1423 memory: 25864 grad_norm: 0.8948 loss: 1.3342 caption_loss_cls: 2.5955 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3075 instance_segmentation_loss_poly: 0.8406 detection_loss_cls: 0.0603 detection_loss_reg: 0.4572 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8078 2023/10/16 02:16:50 - mmengine - INFO - Saving checkpoint at 152500 iterations 2023/10/16 02:21:50 - mmengine - INFO - Iter(train) [152600/320000] base_lr: 1.0819e-04 lr: 4.3831e-05 eta: 4 days, 18:57:45 time: 2.4869 data_time: 0.1417 memory: 26543 grad_norm: 0.8927 loss: 1.3301 caption_loss_cls: 2.5961 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 0.8409 detection_loss_cls: 0.0604 detection_loss_reg: 0.4574 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8073 2023/10/16 02:25:27 - mmengine - INFO - Iter(train) [152700/320000] base_lr: 1.0809e-04 lr: 4.3793e-05 eta: 4 days, 18:48:47 time: 2.4893 data_time: 0.1418 memory: 25864 grad_norm: 0.8893 loss: 1.3242 caption_loss_cls: 2.5943 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3084 instance_segmentation_loss_poly: 0.8424 detection_loss_cls: 0.0604 detection_loss_reg: 0.4580 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8059 2023/10/16 02:29:27 - mmengine - INFO - Iter(train) [152800/320000] base_lr: 1.0799e-04 lr: 4.3755e-05 eta: 4 days, 18:43:32 time: 2.4960 data_time: 0.1419 memory: 26543 grad_norm: 0.8830 loss: 1.3193 caption_loss_cls: 2.5936 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3078 instance_segmentation_loss_poly: 0.8401 detection_loss_cls: 0.0604 detection_loss_reg: 0.4580 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8056 2023/10/16 02:33:31 - mmengine - INFO - Iter(train) [152900/320000] base_lr: 1.0790e-04 lr: 4.3717e-05 eta: 4 days, 18:39:01 time: 2.4915 data_time: 0.1418 memory: 26543 grad_norm: 0.8851 loss: 1.3222 caption_loss_cls: 2.5911 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3083 instance_segmentation_loss_poly: 0.8406 detection_loss_cls: 0.0605 detection_loss_reg: 0.4574 semantic_segmentation_loss_cls: 0.0152 grounding_loss_reg: 3.8046 2023/10/16 02:38:03 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/16 02:38:03 - mmengine - INFO - Iter(train) [153000/320000] base_lr: 1.0780e-04 lr: 4.3678e-05 eta: 4 days, 18:38:49 time: 2.4976 data_time: 0.1420 memory: 26543 grad_norm: 0.8931 loss: 1.3259 caption_loss_cls: 2.5920 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3089 instance_segmentation_loss_poly: 0.8412 detection_loss_cls: 0.0607 detection_loss_reg: 0.4575 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.8043 2023/10/16 02:38:03 - mmengine - INFO - Saving checkpoint at 153000 iterations 2023/10/16 02:43:13 - mmengine - INFO - Iter(train) [153100/320000] base_lr: 1.0770e-04 lr: 4.3640e-05 eta: 4 days, 18:44:34 time: 2.4977 data_time: 0.1420 memory: 26543 grad_norm: 0.8948 loss: 1.3272 caption_loss_cls: 2.5901 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3091 instance_segmentation_loss_poly: 0.8411 detection_loss_cls: 0.0608 detection_loss_reg: 0.4579 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.8041 2023/10/16 02:47:10 - mmengine - INFO - Iter(train) [153200/320000] base_lr: 1.0761e-04 lr: 4.3602e-05 eta: 4 days, 18:38:48 time: 2.4972 data_time: 0.1420 memory: 25864 grad_norm: 0.8942 loss: 1.3258 caption_loss_cls: 2.5911 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3096 instance_segmentation_loss_poly: 0.8422 detection_loss_cls: 0.0607 detection_loss_reg: 0.4567 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.8042 2023/10/16 02:51:02 - mmengine - INFO - Iter(train) [153300/320000] base_lr: 1.0751e-04 lr: 4.3564e-05 eta: 4 days, 18:32:15 time: 2.4950 data_time: 0.1420 memory: 26543 grad_norm: 0.8933 loss: 1.3229 caption_loss_cls: 2.5929 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3095 instance_segmentation_loss_poly: 0.8416 detection_loss_cls: 0.0607 detection_loss_reg: 0.4572 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.8027 2023/10/16 02:54:42 - mmengine - INFO - Iter(train) [153400/320000] base_lr: 1.0741e-04 lr: 4.3526e-05 eta: 4 days, 18:23:51 time: 2.4858 data_time: 0.1418 memory: 25864 grad_norm: 0.8950 loss: 1.3248 caption_loss_cls: 2.5918 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_reg: 0.3091 instance_segmentation_loss_poly: 0.8408 detection_loss_cls: 0.0605 detection_loss_reg: 0.4561 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.8023 2023/10/16 02:58:11 - mmengine - INFO - Iter(train) [153500/320000] base_lr: 1.0731e-04 lr: 4.3487e-05 eta: 4 days, 18:13:52 time: 2.4781 data_time: 0.1419 memory: 26543 grad_norm: 0.8996 loss: 1.3285 caption_loss_cls: 2.5898 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3099 instance_segmentation_loss_poly: 0.8417 detection_loss_cls: 0.0604 detection_loss_reg: 0.4555 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.7999 2023/10/16 02:58:11 - mmengine - INFO - Saving checkpoint at 153500 iterations 2023/10/16 03:03:11 - mmengine - INFO - Iter(train) [153600/320000] base_lr: 1.0722e-04 lr: 4.3449e-05 eta: 4 days, 18:17:55 time: 2.4866 data_time: 0.1420 memory: 26543 grad_norm: 0.8964 loss: 1.3245 caption_loss_cls: 2.5862 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3100 instance_segmentation_loss_poly: 0.8411 detection_loss_cls: 0.0603 detection_loss_reg: 0.4564 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.7990 2023/10/16 03:06:59 - mmengine - INFO - Iter(train) [153700/320000] base_lr: 1.0712e-04 lr: 4.3411e-05 eta: 4 days, 18:10:48 time: 2.4873 data_time: 0.1420 memory: 25864 grad_norm: 0.8915 loss: 1.3205 caption_loss_cls: 2.5828 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3097 instance_segmentation_loss_poly: 0.8410 detection_loss_cls: 0.0605 detection_loss_reg: 0.4580 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.7978 2023/10/16 03:10:36 - mmengine - INFO - Iter(train) [153800/320000] base_lr: 1.0702e-04 lr: 4.3373e-05 eta: 4 days, 18:02:09 time: 2.4880 data_time: 0.1420 memory: 26543 grad_norm: 0.8909 loss: 1.3167 caption_loss_cls: 2.5807 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3102 instance_segmentation_loss_poly: 0.8413 detection_loss_cls: 0.0606 detection_loss_reg: 0.4575 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.7968 2023/10/16 03:14:11 - mmengine - INFO - Iter(train) [153900/320000] base_lr: 1.0693e-04 lr: 4.3335e-05 eta: 4 days, 17:53:10 time: 2.4806 data_time: 0.1420 memory: 25864 grad_norm: 0.8944 loss: 1.3208 caption_loss_cls: 2.5788 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3107 instance_segmentation_loss_poly: 0.8424 detection_loss_cls: 0.0606 detection_loss_reg: 0.4573 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.7963 2023/10/16 03:18:07 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/16 03:18:07 - mmengine - INFO - Iter(train) [154000/320000] base_lr: 1.0683e-04 lr: 4.3296e-05 eta: 4 days, 17:47:32 time: 2.4871 data_time: 0.1422 memory: 25864 grad_norm: 0.8895 loss: 1.3226 caption_loss_cls: 2.5829 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3111 instance_segmentation_loss_poly: 0.8438 detection_loss_cls: 0.0606 detection_loss_reg: 0.4578 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.7952 2023/10/16 03:18:07 - mmengine - INFO - Saving checkpoint at 154000 iterations 2023/10/16 03:23:24 - mmengine - INFO - Iter(train) [154100/320000] base_lr: 1.0673e-04 lr: 4.3258e-05 eta: 4 days, 17:53:48 time: 2.4991 data_time: 0.1423 memory: 26543 grad_norm: 0.8875 loss: 1.3220 caption_loss_cls: 2.5831 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3114 instance_segmentation_loss_poly: 0.8440 detection_loss_cls: 0.0607 detection_loss_reg: 0.4590 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.7956 2023/10/16 03:27:33 - mmengine - INFO - Iter(train) [154200/320000] base_lr: 1.0664e-04 lr: 4.3220e-05 eta: 4 days, 17:49:58 time: 2.4994 data_time: 0.1424 memory: 25864 grad_norm: 0.8866 loss: 1.3272 caption_loss_cls: 2.5838 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3114 instance_segmentation_loss_poly: 0.8437 detection_loss_cls: 0.0608 detection_loss_reg: 0.4600 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7946 2023/10/16 03:31:18 - mmengine - INFO - Iter(train) [154300/320000] base_lr: 1.0654e-04 lr: 4.3182e-05 eta: 4 days, 17:42:35 time: 2.4917 data_time: 0.1425 memory: 25864 grad_norm: 0.8879 loss: 1.3331 caption_loss_cls: 2.5859 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3116 instance_segmentation_loss_poly: 0.8439 detection_loss_cls: 0.0608 detection_loss_reg: 0.4604 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7941 2023/10/16 03:34:50 - mmengine - INFO - Iter(train) [154400/320000] base_lr: 1.0644e-04 lr: 4.3143e-05 eta: 4 days, 17:33:23 time: 2.4821 data_time: 0.1425 memory: 26543 grad_norm: 0.8936 loss: 1.3406 caption_loss_cls: 2.5881 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3112 instance_segmentation_loss_poly: 0.8435 detection_loss_cls: 0.0608 detection_loss_reg: 0.4613 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7917 2023/10/16 03:38:56 - mmengine - INFO - Iter(train) [154500/320000] base_lr: 1.0634e-04 lr: 4.3105e-05 eta: 4 days, 17:29:03 time: 2.4774 data_time: 0.1424 memory: 26543 grad_norm: 0.8953 loss: 1.3434 caption_loss_cls: 2.5870 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3115 instance_segmentation_loss_poly: 0.8443 detection_loss_cls: 0.0611 detection_loss_reg: 0.4622 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7910 2023/10/16 03:38:56 - mmengine - INFO - Saving checkpoint at 154500 iterations 2023/10/16 03:44:01 - mmengine - INFO - Iter(train) [154600/320000] base_lr: 1.0625e-04 lr: 4.3067e-05 eta: 4 days, 17:33:17 time: 2.4803 data_time: 0.1430 memory: 26543 grad_norm: 0.8927 loss: 1.3366 caption_loss_cls: 2.5887 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3118 instance_segmentation_loss_poly: 0.8447 detection_loss_cls: 0.0610 detection_loss_reg: 0.4612 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7901 2023/10/16 03:47:49 - mmengine - INFO - Iter(train) [154700/320000] base_lr: 1.0615e-04 lr: 4.3029e-05 eta: 4 days, 17:26:26 time: 2.4757 data_time: 0.1429 memory: 26543 grad_norm: 0.8997 loss: 1.3424 caption_loss_cls: 2.5890 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3114 instance_segmentation_loss_poly: 0.8442 detection_loss_cls: 0.0609 detection_loss_reg: 0.4611 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7880 2023/10/16 03:51:35 - mmengine - INFO - Iter(train) [154800/320000] base_lr: 1.0605e-04 lr: 4.2991e-05 eta: 4 days, 17:19:25 time: 2.4686 data_time: 0.1429 memory: 26543 grad_norm: 0.9052 loss: 1.3507 caption_loss_cls: 2.5867 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3109 instance_segmentation_loss_poly: 0.8430 detection_loss_cls: 0.0608 detection_loss_reg: 0.4605 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7877 2023/10/16 03:55:34 - mmengine - INFO - Iter(train) [154900/320000] base_lr: 1.0596e-04 lr: 4.2952e-05 eta: 4 days, 17:14:04 time: 2.4696 data_time: 0.1430 memory: 25864 grad_norm: 0.9051 loss: 1.3511 caption_loss_cls: 2.5877 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_reg: 0.3112 instance_segmentation_loss_poly: 0.8431 detection_loss_cls: 0.0609 detection_loss_reg: 0.4613 semantic_segmentation_loss_cls: 0.0151 grounding_loss_reg: 3.7863 2023/10/16 03:59:39 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/16 03:59:39 - mmengine - INFO - Iter(train) [155000/320000] base_lr: 1.0586e-04 lr: 4.2914e-05 eta: 4 days, 17:09:39 time: 2.4709 data_time: 0.1428 memory: 25864 grad_norm: 0.9038 loss: 1.3493 caption_loss_cls: 2.5873 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3113 instance_segmentation_loss_poly: 0.8433 detection_loss_cls: 0.0610 detection_loss_reg: 0.4620 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7846 2023/10/16 03:59:39 - mmengine - INFO - Saving checkpoint at 155000 iterations 2023/10/16 04:04:23 - mmengine - INFO - Iter(train) [155100/320000] base_lr: 1.0576e-04 lr: 4.2876e-05 eta: 4 days, 17:10:48 time: 2.4749 data_time: 0.1428 memory: 26543 grad_norm: 0.9039 loss: 1.3426 caption_loss_cls: 2.5868 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3117 instance_segmentation_loss_poly: 0.8437 detection_loss_cls: 0.0609 detection_loss_reg: 0.4614 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7829 2023/10/16 04:08:07 - mmengine - INFO - Iter(train) [155200/320000] base_lr: 1.0566e-04 lr: 4.2838e-05 eta: 4 days, 17:03:30 time: 2.4718 data_time: 0.1426 memory: 25864 grad_norm: 0.9028 loss: 1.3394 caption_loss_cls: 2.5831 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3117 instance_segmentation_loss_poly: 0.8437 detection_loss_cls: 0.0609 detection_loss_reg: 0.4618 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7819 2023/10/16 04:12:02 - mmengine - INFO - Iter(train) [155300/320000] base_lr: 1.0557e-04 lr: 4.2799e-05 eta: 4 days, 16:57:36 time: 2.4708 data_time: 0.1426 memory: 25864 grad_norm: 0.9029 loss: 1.3385 caption_loss_cls: 2.5812 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3114 instance_segmentation_loss_poly: 0.8429 detection_loss_cls: 0.0608 detection_loss_reg: 0.4620 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7809 2023/10/16 04:16:28 - mmengine - INFO - Iter(train) [155400/320000] base_lr: 1.0547e-04 lr: 4.2761e-05 eta: 4 days, 16:56:09 time: 2.4793 data_time: 0.1427 memory: 25864 grad_norm: 0.8962 loss: 1.3356 caption_loss_cls: 2.5813 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_reg: 0.3114 instance_segmentation_loss_poly: 0.8425 detection_loss_cls: 0.0607 detection_loss_reg: 0.4617 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7809 2023/10/16 04:20:01 - mmengine - INFO - Iter(train) [155500/320000] base_lr: 1.0537e-04 lr: 4.2723e-05 eta: 4 days, 16:47:20 time: 2.4741 data_time: 0.1426 memory: 25864 grad_norm: 0.9020 loss: 1.3365 caption_loss_cls: 2.5814 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_reg: 0.3114 instance_segmentation_loss_poly: 0.8424 detection_loss_cls: 0.0605 detection_loss_reg: 0.4620 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7812 2023/10/16 04:20:01 - mmengine - INFO - Saving checkpoint at 155500 iterations 2023/10/16 04:25:02 - mmengine - INFO - Iter(train) [155600/320000] base_lr: 1.0528e-04 lr: 4.2685e-05 eta: 4 days, 16:50:42 time: 2.4749 data_time: 0.1428 memory: 26543 grad_norm: 0.9001 loss: 1.3369 caption_loss_cls: 2.5785 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_reg: 0.3111 instance_segmentation_loss_poly: 0.8416 detection_loss_cls: 0.0605 detection_loss_reg: 0.4633 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7807 2023/10/16 04:29:20 - mmengine - INFO - Iter(train) [155700/320000] base_lr: 1.0518e-04 lr: 4.2646e-05 eta: 4 days, 16:48:01 time: 2.4755 data_time: 0.1427 memory: 25864 grad_norm: 0.8997 loss: 1.3346 caption_loss_cls: 2.5782 instance_segmentation_loss_cls: 0.0415 instance_segmentation_loss_reg: 0.3109 instance_segmentation_loss_poly: 0.8408 detection_loss_cls: 0.0602 detection_loss_reg: 0.4621 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7788 2023/10/16 04:33:05 - mmengine - INFO - Iter(train) [155800/320000] base_lr: 1.0508e-04 lr: 4.2608e-05 eta: 4 days, 16:40:52 time: 2.4736 data_time: 0.1428 memory: 26543 grad_norm: 0.8991 loss: 1.3297 caption_loss_cls: 2.5749 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_reg: 0.3107 instance_segmentation_loss_poly: 0.8398 detection_loss_cls: 0.0601 detection_loss_reg: 0.4615 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7773 2023/10/16 04:37:18 - mmengine - INFO - Iter(train) [155900/320000] base_lr: 1.0498e-04 lr: 4.2570e-05 eta: 4 days, 16:37:33 time: 2.4765 data_time: 0.1428 memory: 25864 grad_norm: 0.8975 loss: 1.3271 caption_loss_cls: 2.5749 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_reg: 0.3108 instance_segmentation_loss_poly: 0.8402 detection_loss_cls: 0.0604 detection_loss_reg: 0.4631 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7772 2023/10/16 04:41:19 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/16 04:41:19 - mmengine - INFO - Iter(train) [156000/320000] base_lr: 1.0489e-04 lr: 4.2532e-05 eta: 4 days, 16:32:42 time: 2.4844 data_time: 0.1429 memory: 25864 grad_norm: 0.8964 loss: 1.3273 caption_loss_cls: 2.5753 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_reg: 0.3111 instance_segmentation_loss_poly: 0.8405 detection_loss_cls: 0.0603 detection_loss_reg: 0.4636 semantic_segmentation_loss_cls: 0.0150 grounding_loss_reg: 3.7758 2023/10/16 04:41:19 - mmengine - INFO - Saving checkpoint at 156000 iterations 2023/10/16 04:46:19 - mmengine - INFO - Iter(train) [156100/320000] base_lr: 1.0479e-04 lr: 4.2493e-05 eta: 4 days, 16:35:33 time: 2.4843 data_time: 0.1428 memory: 25864 grad_norm: 0.8963 loss: 1.3284 caption_loss_cls: 2.5722 instance_segmentation_loss_cls: 0.0413 instance_segmentation_loss_reg: 0.3113 instance_segmentation_loss_poly: 0.8408 detection_loss_cls: 0.0602 detection_loss_reg: 0.4645 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7743 2023/10/16 04:50:09 - mmengine - INFO - Iter(train) [156200/320000] base_lr: 1.0469e-04 lr: 4.2455e-05 eta: 4 days, 16:29:12 time: 2.4859 data_time: 0.1428 memory: 26543 grad_norm: 0.8936 loss: 1.3277 caption_loss_cls: 2.5749 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_reg: 0.3114 instance_segmentation_loss_poly: 0.8405 detection_loss_cls: 0.0602 detection_loss_reg: 0.4639 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7727 2023/10/16 04:53:52 - mmengine - INFO - Iter(train) [156300/320000] base_lr: 1.0460e-04 lr: 4.2417e-05 eta: 4 days, 16:21:48 time: 2.4822 data_time: 0.1428 memory: 25864 grad_norm: 0.8901 loss: 1.3266 caption_loss_cls: 2.5687 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_reg: 0.3114 instance_segmentation_loss_poly: 0.8409 detection_loss_cls: 0.0603 detection_loss_reg: 0.4641 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7724 2023/10/16 04:57:46 - mmengine - INFO - Iter(train) [156400/320000] base_lr: 1.0450e-04 lr: 4.2378e-05 eta: 4 days, 16:15:59 time: 2.4714 data_time: 0.1427 memory: 25864 grad_norm: 0.8934 loss: 1.3284 caption_loss_cls: 2.5694 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_reg: 0.3113 instance_segmentation_loss_poly: 0.8406 detection_loss_cls: 0.0601 detection_loss_reg: 0.4636 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7688 2023/10/16 05:01:52 - mmengine - INFO - Iter(train) [156500/320000] base_lr: 1.0440e-04 lr: 4.2340e-05 eta: 4 days, 16:11:41 time: 2.4750 data_time: 0.1426 memory: 26543 grad_norm: 0.8908 loss: 1.3224 caption_loss_cls: 2.5699 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_reg: 0.3113 instance_segmentation_loss_poly: 0.8403 detection_loss_cls: 0.0600 detection_loss_reg: 0.4635 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7668 2023/10/16 05:01:52 - mmengine - INFO - Saving checkpoint at 156500 iterations 2023/10/16 05:06:42 - mmengine - INFO - Iter(train) [156600/320000] base_lr: 1.0430e-04 lr: 4.2302e-05 eta: 4 days, 16:13:11 time: 2.4728 data_time: 0.1425 memory: 25864 grad_norm: 0.8947 loss: 1.3241 caption_loss_cls: 2.5711 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_reg: 0.3114 instance_segmentation_loss_poly: 0.8405 detection_loss_cls: 0.0600 detection_loss_reg: 0.4649 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7664 2023/10/16 05:10:30 - mmengine - INFO - Iter(train) [156700/320000] base_lr: 1.0421e-04 lr: 4.2264e-05 eta: 4 days, 16:06:35 time: 2.4755 data_time: 0.1425 memory: 25864 grad_norm: 0.8961 loss: 1.3240 caption_loss_cls: 2.5715 instance_segmentation_loss_cls: 0.0413 instance_segmentation_loss_reg: 0.3109 instance_segmentation_loss_poly: 0.8400 detection_loss_cls: 0.0599 detection_loss_reg: 0.4648 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7647 2023/10/16 05:14:55 - mmengine - INFO - Iter(train) [156800/320000] base_lr: 1.0411e-04 lr: 4.2225e-05 eta: 4 days, 16:04:45 time: 2.4817 data_time: 0.1425 memory: 25864 grad_norm: 0.8947 loss: 1.3204 caption_loss_cls: 2.5722 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_reg: 0.3103 instance_segmentation_loss_poly: 0.8391 detection_loss_cls: 0.0599 detection_loss_reg: 0.4648 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7643 2023/10/16 05:18:46 - mmengine - INFO - Iter(train) [156900/320000] base_lr: 1.0401e-04 lr: 4.2187e-05 eta: 4 days, 15:58:36 time: 2.4784 data_time: 0.1424 memory: 25864 grad_norm: 0.8906 loss: 1.3165 caption_loss_cls: 2.5697 instance_segmentation_loss_cls: 0.0411 instance_segmentation_loss_reg: 0.3101 instance_segmentation_loss_poly: 0.8391 detection_loss_cls: 0.0598 detection_loss_reg: 0.4642 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7633 2023/10/16 05:22:58 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/16 05:22:58 - mmengine - INFO - Iter(train) [157000/320000] base_lr: 1.0392e-04 lr: 4.2149e-05 eta: 4 days, 15:55:01 time: 2.4734 data_time: 0.1423 memory: 26543 grad_norm: 0.8811 loss: 1.3134 caption_loss_cls: 2.5687 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_reg: 0.3097 instance_segmentation_loss_poly: 0.8379 detection_loss_cls: 0.0597 detection_loss_reg: 0.4636 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7623 2023/10/16 05:22:58 - mmengine - INFO - Saving checkpoint at 157000 iterations 2023/10/16 05:28:22 - mmengine - INFO - Iter(train) [157100/320000] base_lr: 1.0382e-04 lr: 4.2111e-05 eta: 4 days, 16:00:36 time: 2.4771 data_time: 0.1423 memory: 25864 grad_norm: 0.8790 loss: 1.3084 caption_loss_cls: 2.5661 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_reg: 0.3096 instance_segmentation_loss_poly: 0.8373 detection_loss_cls: 0.0596 detection_loss_reg: 0.4634 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7610 2023/10/16 05:32:26 - mmengine - INFO - Iter(train) [157200/320000] base_lr: 1.0372e-04 lr: 4.2072e-05 eta: 4 days, 15:55:58 time: 2.4787 data_time: 0.1424 memory: 25864 grad_norm: 0.8830 loss: 1.3162 caption_loss_cls: 2.5635 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_reg: 0.3104 instance_segmentation_loss_poly: 0.8392 detection_loss_cls: 0.0596 detection_loss_reg: 0.4638 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7584 2023/10/16 05:36:18 - mmengine - INFO - Iter(train) [157300/320000] base_lr: 1.0362e-04 lr: 4.2034e-05 eta: 4 days, 15:49:59 time: 2.4788 data_time: 0.1424 memory: 25864 grad_norm: 0.8817 loss: 1.3166 caption_loss_cls: 2.5632 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_reg: 0.3107 instance_segmentation_loss_poly: 0.8398 detection_loss_cls: 0.0595 detection_loss_reg: 0.4636 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7579 2023/10/16 05:40:27 - mmengine - INFO - Iter(train) [157400/320000] base_lr: 1.0353e-04 lr: 4.1996e-05 eta: 4 days, 15:45:59 time: 2.4860 data_time: 0.1424 memory: 26543 grad_norm: 0.8811 loss: 1.3111 caption_loss_cls: 2.5598 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_reg: 0.3103 instance_segmentation_loss_poly: 0.8383 detection_loss_cls: 0.0594 detection_loss_reg: 0.4631 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7569 2023/10/16 05:44:54 - mmengine - INFO - Iter(train) [157500/320000] base_lr: 1.0343e-04 lr: 4.1957e-05 eta: 4 days, 15:44:14 time: 2.5004 data_time: 0.1425 memory: 25864 grad_norm: 0.8769 loss: 1.3079 caption_loss_cls: 2.5605 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3098 instance_segmentation_loss_poly: 0.8382 detection_loss_cls: 0.0590 detection_loss_reg: 0.4619 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7551 2023/10/16 05:44:54 - mmengine - INFO - Saving checkpoint at 157500 iterations 2023/10/16 05:49:47 - mmengine - INFO - Iter(train) [157600/320000] base_lr: 1.0333e-04 lr: 4.1919e-05 eta: 4 days, 15:45:41 time: 2.4986 data_time: 0.1419 memory: 26543 grad_norm: 0.8806 loss: 1.3125 caption_loss_cls: 2.5601 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3091 instance_segmentation_loss_poly: 0.8367 detection_loss_cls: 0.0590 detection_loss_reg: 0.4616 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7533 2023/10/16 05:53:27 - mmengine - INFO - Iter(train) [157700/320000] base_lr: 1.0324e-04 lr: 4.1881e-05 eta: 4 days, 15:38:14 time: 2.4968 data_time: 0.1419 memory: 26543 grad_norm: 0.8815 loss: 1.3140 caption_loss_cls: 2.5599 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3090 instance_segmentation_loss_poly: 0.8365 detection_loss_cls: 0.0592 detection_loss_reg: 0.4618 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7511 2023/10/16 05:57:27 - mmengine - INFO - Iter(train) [157800/320000] base_lr: 1.0314e-04 lr: 4.1843e-05 eta: 4 days, 15:33:06 time: 2.5023 data_time: 0.1420 memory: 26543 grad_norm: 0.8783 loss: 1.3149 caption_loss_cls: 2.5610 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3088 instance_segmentation_loss_poly: 0.8357 detection_loss_cls: 0.0592 detection_loss_reg: 0.4617 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7505 2023/10/16 06:02:01 - mmengine - INFO - Iter(train) [157900/320000] base_lr: 1.0304e-04 lr: 4.1804e-05 eta: 4 days, 15:32:12 time: 2.5172 data_time: 0.1422 memory: 26543 grad_norm: 0.8812 loss: 1.3139 caption_loss_cls: 2.5611 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3091 instance_segmentation_loss_poly: 0.8354 detection_loss_cls: 0.0592 detection_loss_reg: 0.4613 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7481 2023/10/16 06:06:21 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/16 06:06:21 - mmengine - INFO - Iter(train) [158000/320000] base_lr: 1.0294e-04 lr: 4.1766e-05 eta: 4 days, 15:29:35 time: 2.5231 data_time: 0.1422 memory: 25864 grad_norm: 0.8775 loss: 1.3107 caption_loss_cls: 2.5628 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3088 instance_segmentation_loss_poly: 0.8351 detection_loss_cls: 0.0593 detection_loss_reg: 0.4612 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7479 2023/10/16 06:06:21 - mmengine - INFO - Saving checkpoint at 158000 iterations 2023/10/16 06:11:03 - mmengine - INFO - Iter(train) [158100/320000] base_lr: 1.0285e-04 lr: 4.1728e-05 eta: 4 days, 15:29:32 time: 2.5145 data_time: 0.1421 memory: 26543 grad_norm: 0.8798 loss: 1.3153 caption_loss_cls: 2.5623 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_reg: 0.3102 instance_segmentation_loss_poly: 0.8378 detection_loss_cls: 0.0592 detection_loss_reg: 0.4610 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7482 2023/10/16 06:15:07 - mmengine - INFO - Iter(train) [158200/320000] base_lr: 1.0275e-04 lr: 4.1690e-05 eta: 4 days, 15:24:52 time: 2.5131 data_time: 0.1421 memory: 25864 grad_norm: 0.8799 loss: 1.3140 caption_loss_cls: 2.5609 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_reg: 0.3098 instance_segmentation_loss_poly: 0.8366 detection_loss_cls: 0.0593 detection_loss_reg: 0.4615 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7481 2023/10/16 06:19:28 - mmengine - INFO - Iter(train) [158300/320000] base_lr: 1.0265e-04 lr: 4.1651e-05 eta: 4 days, 15:22:18 time: 2.5221 data_time: 0.1421 memory: 25864 grad_norm: 0.8811 loss: 1.3126 caption_loss_cls: 2.5591 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3096 instance_segmentation_loss_poly: 0.8363 detection_loss_cls: 0.0595 detection_loss_reg: 0.4621 semantic_segmentation_loss_cls: 0.0149 grounding_loss_reg: 3.7463 2023/10/16 06:23:24 - mmengine - INFO - Iter(train) [158400/320000] base_lr: 1.0256e-04 lr: 4.1613e-05 eta: 4 days, 15:16:49 time: 2.5282 data_time: 0.1421 memory: 25864 grad_norm: 0.8767 loss: 1.3083 caption_loss_cls: 2.5589 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3093 instance_segmentation_loss_poly: 0.8356 detection_loss_cls: 0.0594 detection_loss_reg: 0.4621 semantic_segmentation_loss_cls: 0.0147 grounding_loss_reg: 3.7461 2023/10/16 06:27:13 - mmengine - INFO - Iter(train) [158500/320000] base_lr: 1.0246e-04 lr: 4.1575e-05 eta: 4 days, 15:10:27 time: 2.5240 data_time: 0.1421 memory: 25864 grad_norm: 0.8793 loss: 1.3116 caption_loss_cls: 2.5576 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3093 instance_segmentation_loss_poly: 0.8359 detection_loss_cls: 0.0594 detection_loss_reg: 0.4622 semantic_segmentation_loss_cls: 0.0147 grounding_loss_reg: 3.7444 2023/10/16 06:27:13 - mmengine - INFO - Saving checkpoint at 158500 iterations 2023/10/16 06:32:15 - mmengine - INFO - Iter(train) [158600/320000] base_lr: 1.0236e-04 lr: 4.1536e-05 eta: 4 days, 15:12:36 time: 2.5233 data_time: 0.1417 memory: 26543 grad_norm: 0.8857 loss: 1.3222 caption_loss_cls: 2.5589 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3090 instance_segmentation_loss_poly: 0.8349 detection_loss_cls: 0.0593 detection_loss_reg: 0.4622 semantic_segmentation_loss_cls: 0.0146 grounding_loss_reg: 3.7439 2023/10/16 06:36:35 - mmengine - INFO - Iter(train) [158700/320000] base_lr: 1.0226e-04 lr: 4.1498e-05 eta: 4 days, 15:09:52 time: 2.5313 data_time: 0.1418 memory: 26543 grad_norm: 0.8766 loss: 1.3161 caption_loss_cls: 2.5604 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3095 instance_segmentation_loss_poly: 0.8363 detection_loss_cls: 0.0593 detection_loss_reg: 0.4625 semantic_segmentation_loss_cls: 0.0145 grounding_loss_reg: 3.7433 2023/10/16 06:40:15 - mmengine - INFO - Iter(train) [158800/320000] base_lr: 1.0217e-04 lr: 4.1460e-05 eta: 4 days, 15:02:30 time: 2.5296 data_time: 0.1418 memory: 25864 grad_norm: 0.8781 loss: 1.3163 caption_loss_cls: 2.5577 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3094 instance_segmentation_loss_poly: 0.8362 detection_loss_cls: 0.0593 detection_loss_reg: 0.4629 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7412 2023/10/16 06:43:34 - mmengine - INFO - Iter(train) [158900/320000] base_lr: 1.0207e-04 lr: 4.1422e-05 eta: 4 days, 14:52:40 time: 2.5196 data_time: 0.1417 memory: 26543 grad_norm: 0.8842 loss: 1.3206 caption_loss_cls: 2.5590 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3097 instance_segmentation_loss_poly: 0.8369 detection_loss_cls: 0.0592 detection_loss_reg: 0.4620 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7401 2023/10/16 06:47:17 - mmengine - INFO - Exp name: univision_joint_all_large_20231015_135829 2023/10/16 06:47:17 - mmengine - INFO - Iter(train) [159000/320000] base_lr: 1.0197e-04 lr: 4.1383e-05 eta: 4 days, 14:45:44 time: 2.5142 data_time: 0.1416 memory: 25864 grad_norm: 0.8826 loss: 1.3167 caption_loss_cls: 2.5567 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3089 instance_segmentation_loss_poly: 0.8361 detection_loss_cls: 0.0593 detection_loss_reg: 0.4618 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7389 2023/10/16 06:47:17 - mmengine - INFO - Saving checkpoint at 159000 iterations 2023/10/16 06:52:15 - mmengine - INFO - Iter(train) [159100/320000] base_lr: 1.0188e-04 lr: 4.1345e-05 eta: 4 days, 14:47:17 time: 2.5175 data_time: 0.1416 memory: 26543 grad_norm: 0.8840 loss: 1.3174 caption_loss_cls: 2.5574 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_reg: 0.3091 instance_segmentation_loss_poly: 0.8363 detection_loss_cls: 0.0597 detection_loss_reg: 0.4624 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7400 2023/10/16 06:56:16 - mmengine - INFO - Iter(train) [159200/320000] base_lr: 1.0178e-04 lr: 4.1307e-05 eta: 4 days, 14:42:22 time: 2.5217 data_time: 0.1417 memory: 26543 grad_norm: 0.8908 loss: 1.3181 caption_loss_cls: 2.5604 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3087 instance_segmentation_loss_poly: 0.8351 detection_loss_cls: 0.0595 detection_loss_reg: 0.4615 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7395 2023/10/22 04:56:29 - mmengine - INFO - Iter(train) [159100/320000] base_lr: 1.0188e-04 lr: 4.1345e-05 eta: 3 days, 1:13:59 time: 2.4841 data_time: 0.1261 memory: 25854 grad_norm: 0.8734 loss: 1.3105 caption_loss_cls: 2.5568 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3091 instance_segmentation_loss_poly: 0.8360 detection_loss_cls: 0.0594 detection_loss_reg: 0.4617 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7389 2023/10/22 04:59:32 - mmengine - INFO - Iter(train) [159200/320000] base_lr: 1.0178e-04 lr: 4.1307e-05 eta: 3 days, 5:28:33 time: 2.4738 data_time: 0.1262 memory: 26532 grad_norm: 0.8735 loss: 1.3074 caption_loss_cls: 2.5553 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3089 instance_segmentation_loss_poly: 0.8357 detection_loss_cls: 0.0593 detection_loss_reg: 0.4617 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7397 2023/10/22 05:02:43 - mmengine - INFO - Iter(train) [159300/320000] base_lr: 1.0168e-04 lr: 4.1268e-05 eta: 3 days, 8:10:03 time: 2.4632 data_time: 0.1262 memory: 25854 grad_norm: 0.8684 loss: 1.3017 caption_loss_cls: 2.5521 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3092 instance_segmentation_loss_poly: 0.8362 detection_loss_cls: 0.0590 detection_loss_reg: 0.4615 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7399 2023/10/22 05:06:00 - mmengine - INFO - Iter(train) [159400/320000] base_lr: 1.0158e-04 lr: 4.1230e-05 eta: 3 days, 10:02:14 time: 2.4459 data_time: 0.1261 memory: 26532 grad_norm: 0.8716 loss: 1.3022 caption_loss_cls: 2.5527 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3086 instance_segmentation_loss_poly: 0.8350 detection_loss_cls: 0.0589 detection_loss_reg: 0.4611 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7391 2023/10/22 05:09:36 - mmengine - INFO - Iter(train) [159500/320000] base_lr: 1.0149e-04 lr: 4.1192e-05 eta: 3 days, 12:49:27 time: 2.4466 data_time: 0.1262 memory: 25854 grad_norm: 0.8607 loss: 1.2887 caption_loss_cls: 2.5508 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3086 instance_segmentation_loss_poly: 0.8349 detection_loss_cls: 0.0587 detection_loss_reg: 0.4600 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7382 2023/10/22 05:09:36 - mmengine - INFO - Saving checkpoint at 159500 iterations 2023/10/22 05:14:04 - mmengine - INFO - Iter(train) [159600/320000] base_lr: 1.0139e-04 lr: 4.1154e-05 eta: 3 days, 18:33:49 time: 2.4383 data_time: 0.1254 memory: 25854 grad_norm: 0.8622 loss: 1.2816 caption_loss_cls: 2.5498 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3082 instance_segmentation_loss_poly: 0.8342 detection_loss_cls: 0.0584 detection_loss_reg: 0.4585 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7379 2023/10/22 05:18:01 - mmengine - INFO - Iter(train) [159700/320000] base_lr: 1.0129e-04 lr: 4.1115e-05 eta: 3 days, 20:38:34 time: 2.4331 data_time: 0.1253 memory: 25854 grad_norm: 0.8606 loss: 1.2800 caption_loss_cls: 2.5494 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8339 detection_loss_cls: 0.0583 detection_loss_reg: 0.4585 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7367 2023/10/22 05:21:28 - mmengine - INFO - Iter(train) [159800/320000] base_lr: 1.0120e-04 lr: 4.1077e-05 eta: 3 days, 20:29:09 time: 2.4285 data_time: 0.1253 memory: 26532 grad_norm: 0.8570 loss: 1.2785 caption_loss_cls: 2.5507 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8343 detection_loss_cls: 0.0582 detection_loss_reg: 0.4584 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7357 2023/10/22 05:24:38 - mmengine - INFO - Iter(train) [159900/320000] base_lr: 1.0110e-04 lr: 4.1039e-05 eta: 3 days, 19:34:28 time: 2.4128 data_time: 0.1251 memory: 25854 grad_norm: 0.8571 loss: 1.2739 caption_loss_cls: 2.5473 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8344 detection_loss_cls: 0.0580 detection_loss_reg: 0.4588 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7344 2023/10/22 05:28:08 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 05:28:08 - mmengine - INFO - Iter(train) [160000/320000] base_lr: 1.0100e-04 lr: 4.1000e-05 eta: 3 days, 19:42:03 time: 2.4049 data_time: 0.1250 memory: 25854 grad_norm: 0.8590 loss: 1.2774 caption_loss_cls: 2.5455 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3081 instance_segmentation_loss_poly: 0.8350 detection_loss_cls: 0.0579 detection_loss_reg: 0.4588 semantic_segmentation_loss_cls: 0.0144 grounding_loss_reg: 3.7327 2023/10/22 05:28:08 - mmengine - INFO - Saving checkpoint at 160000 iterations 2023/10/22 05:32:45 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.4503 data_time: 0.0321 memory: 14016 2023/10/22 05:33:35 - mmengine - INFO - Evaluating bbox... 2023/10/22 05:34:35 - mmengine - INFO - bbox_mAP_copypaste: 0.439 0.608 0.476 0.281 0.483 0.578 2023/10/22 05:34:35 - mmengine - INFO - Evaluating segm... 2023/10/22 05:35:57 - mmengine - INFO - segm_mAP_copypaste: 0.268 0.503 0.253 0.123 0.313 0.434 2023/10/22 05:36:53 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3662 data_time: 0.0300 memory: 14015 2023/10/22 05:37:17 - mmengine - INFO - Evaluating bbox... 2023/10/22 05:38:24 - mmengine - INFO - bbox_mAP_copypaste: 0.438 0.608 0.475 0.279 0.483 0.578 2023/10/22 05:41:32 - mmengine - INFO - per class results: 2023/10/22 05:41:32 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 69.77 | 76.08 | | building | 78.1 | 92.31 | | sky | 92.82 | 96.56 | | floor | 77.65 | 83.12 | | tree | 71.17 | 88.58 | | ceiling | 78.0 | 88.76 | | road | 80.98 | 90.08 | | bed | 78.92 | 96.03 | | windowpane | 54.27 | 82.39 | | grass | 65.99 | 86.23 | | cabinet | 51.9 | 73.6 | | sidewalk | 57.61 | 64.83 | | person | 77.59 | 91.62 | | earth | 39.38 | 55.64 | | door | 32.42 | 48.0 | | table | 51.22 | 68.86 | | mountain | 57.79 | 81.8 | | plant | 46.15 | 54.13 | | curtain | 54.86 | 90.28 | | chair | 48.53 | 68.64 | | car | 77.93 | 88.33 | | water | 55.45 | 76.16 | | painting | 58.68 | 89.5 | | sofa | 56.3 | 74.83 | | shelf | 35.14 | 55.33 | | house | 45.35 | 57.44 | | sea | 51.69 | 63.67 | | mirror | 53.48 | 60.89 | | rug | 62.7 | 75.44 | | field | 23.65 | 32.22 | | armchair | 34.04 | 53.98 | | seat | 60.99 | 71.45 | | fence | 36.97 | 47.4 | | desk | 33.82 | 45.53 | | rock | 33.0 | 51.49 | | wardrobe | 32.58 | 85.97 | | lamp | 50.25 | 72.18 | | bathtub | 64.08 | 82.13 | | railing | 28.42 | 40.1 | | cushion | 45.57 | 57.38 | | base | 16.51 | 21.01 | | box | 25.57 | 45.61 | | column | 43.39 | 58.86 | | signboard | 25.45 | 28.6 | | chest of drawers | 33.71 | 45.25 | | counter | 24.49 | 31.79 | | sand | 38.94 | 44.68 | | sink | 58.15 | 75.83 | | skyscraper | 47.02 | 58.74 | | fireplace | 61.81 | 75.96 | | refrigerator | 57.32 | 68.36 | | grandstand | 46.87 | 71.77 | | path | 22.67 | 29.79 | | stairs | 29.42 | 45.23 | | runway | 71.65 | 91.31 | | case | 43.59 | 63.06 | | pool table | 84.59 | 95.56 | | pillow | 16.18 | 16.6 | | screen door | 50.11 | 56.88 | | stairway | 26.1 | 28.94 | | river | 16.22 | 27.92 | | bridge | 34.67 | 85.3 | | bookcase | 28.59 | 36.51 | | blind | 20.1 | 21.64 | | coffee table | 49.14 | 73.29 | | toilet | 76.1 | 90.72 | | flower | 28.3 | 58.81 | | book | 42.86 | 67.28 | | hill | 1.83 | 1.88 | | bench | 35.91 | 50.04 | | countertop | 51.34 | 63.36 | | stove | 55.16 | 67.76 | | palm | 42.61 | 61.97 | | kitchen island | 21.16 | 36.19 | | computer | 47.48 | 54.9 | | swivel chair | 32.79 | 53.31 | | boat | 56.77 | 86.33 | | bar | 14.5 | 16.36 | | arcade machine | 51.19 | 60.19 | | hovel | 35.25 | 52.37 | | bus | 82.31 | 95.43 | | towel | 46.33 | 52.83 | | light | 33.99 | 48.57 | | truck | 32.65 | 67.5 | | tower | 26.21 | 42.85 | | chandelier | 52.26 | 63.12 | | awning | 19.54 | 29.13 | | streetlight | 15.32 | 16.65 | | booth | 32.07 | 38.69 | | television receiver | 56.72 | 74.42 | | airplane | 51.97 | 62.57 | | dirt track | 4.58 | 8.75 | | apparel | 10.7 | 12.15 | | pole | 21.56 | 42.59 | | land | 0.0 | 0.0 | | bannister | 5.89 | 16.01 | | escalator | 38.2 | 62.17 | | ottoman | 33.45 | 45.13 | | bottle | 22.84 | 30.07 | | buffet | 25.24 | 25.7 | | poster | 22.12 | 25.77 | | stage | 6.31 | 18.17 | | van | 25.37 | 30.16 | | ship | 59.54 | 62.72 | | fountain | 8.24 | 9.18 | | conveyer belt | 19.87 | 97.32 | | canopy | 4.76 | 5.67 | | washer | 57.13 | 58.2 | | plaything | 20.79 | 30.87 | | swimming pool | 43.97 | 54.38 | | stool | 32.95 | 56.81 | | barrel | 4.26 | 71.77 | | basket | 24.64 | 35.62 | | waterfall | 65.15 | 86.48 | | tent | 85.71 | 95.51 | | bag | 20.71 | 24.75 | | minibike | 68.58 | 87.42 | | cradle | 59.97 | 79.56 | | oven | 25.2 | 55.89 | | ball | 19.0 | 21.58 | | food | 53.71 | 61.01 | | step | 3.68 | 3.81 | | tank | 27.5 | 36.96 | | trade name | 15.83 | 17.35 | | microwave | 79.77 | 87.37 | | pot | 35.25 | 48.07 | | animal | 59.66 | 67.73 | | bicycle | 51.8 | 67.93 | | lake | 0.0 | 0.0 | | dishwasher | 38.07 | 45.83 | | screen | 61.42 | 82.11 | | blanket | 0.17 | 0.18 | | sculpture | 30.87 | 68.43 | | hood | 43.78 | 49.21 | | sconce | 2.05 | 2.08 | | vase | 28.92 | 58.41 | | traffic light | 24.69 | 32.82 | | tray | 4.5 | 6.36 | | ashcan | 30.68 | 44.59 | | fan | 46.23 | 64.1 | | pier | 34.21 | 45.49 | | crt screen | 2.24 | 5.59 | | plate | 46.47 | 61.78 | | monitor | 7.18 | 15.94 | | bulletin board | 21.1 | 29.74 | | shower | 4.78 | 5.45 | | radiator | 33.11 | 33.96 | | glass | 12.15 | 13.36 | | clock | 15.18 | 22.32 | | flag | 38.91 | 42.93 | +---------------------+-------+-------+ 2023/10/22 05:41:39 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.4380 coco/bbox_mAP_50: 0.6080 coco/bbox_mAP_75: 0.4750 coco/bbox_mAP_s: 0.2790 coco/bbox_mAP_m: 0.4830 coco/bbox_mAP_l: 0.5780 coco/segm_mAP: 0.2680 coco/segm_mAP_50: 0.5030 coco/segm_mAP_75: 0.2530 coco/segm_mAP_s: 0.1230 coco/segm_mAP_m: 0.3130 coco/segm_mAP_l: 0.4340 Bleu_1: 0.7234 Bleu_2: 0.5461 Bleu_3: 0.4032 Bleu_4: 0.2951 METEOR: 0.2512 ROUGE_L: 0.5316 CIDEr: 0.9468 SPICE: 0.1821 aAcc: 78.4300 mIoU: 39.4000 mAcc: 52.9500 visual-grounding/miou: 0.6582 visual-grounding/acc: 0.7207 data_time: 0.0398 time: 1.0505 2023/10/22 05:45:34 - mmengine - INFO - Iter(train) [160100/320000] base_lr: 1.0090e-04 lr: 4.0962e-05 eta: 3 days, 20:51:38 time: 2.3892 data_time: 0.1101 memory: 25855 grad_norm: 0.8536 loss: 1.2719 caption_loss_cls: 2.5433 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_reg: 0.3086 instance_segmentation_loss_poly: 0.8352 detection_loss_cls: 0.0579 detection_loss_reg: 0.4590 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7315 2023/10/22 05:49:29 - mmengine - INFO - Iter(train) [160200/320000] base_lr: 1.0081e-04 lr: 4.0924e-05 eta: 3 days, 21:45:14 time: 2.3903 data_time: 0.1100 memory: 25855 grad_norm: 0.8515 loss: 1.2652 caption_loss_cls: 2.5446 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3079 instance_segmentation_loss_poly: 0.8340 detection_loss_cls: 0.0579 detection_loss_reg: 0.4581 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7294 2023/10/22 05:53:10 - mmengine - INFO - Iter(train) [160300/320000] base_lr: 1.0071e-04 lr: 4.0886e-05 eta: 3 days, 22:01:29 time: 2.3899 data_time: 0.1100 memory: 26533 grad_norm: 0.8469 loss: 1.2586 caption_loss_cls: 2.5451 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3075 instance_segmentation_loss_poly: 0.8332 detection_loss_cls: 0.0578 detection_loss_reg: 0.4576 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7281 2023/10/22 05:56:45 - mmengine - INFO - Iter(train) [160400/320000] base_lr: 1.0061e-04 lr: 4.0847e-05 eta: 3 days, 22:04:42 time: 2.3853 data_time: 0.1099 memory: 26533 grad_norm: 0.8426 loss: 1.2542 caption_loss_cls: 2.5451 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3069 instance_segmentation_loss_poly: 0.8320 detection_loss_cls: 0.0578 detection_loss_reg: 0.4575 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7269 2023/10/22 06:00:31 - mmengine - INFO - Iter(train) [160500/320000] base_lr: 1.0052e-04 lr: 4.0809e-05 eta: 3 days, 22:24:37 time: 2.3802 data_time: 0.1102 memory: 26533 grad_norm: 0.8412 loss: 1.2546 caption_loss_cls: 2.5438 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3074 instance_segmentation_loss_poly: 0.8322 detection_loss_cls: 0.0577 detection_loss_reg: 0.4572 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7259 2023/10/22 06:00:31 - mmengine - INFO - Saving checkpoint at 160500 iterations 2023/10/22 06:05:29 - mmengine - INFO - Iter(train) [160600/320000] base_lr: 1.0042e-04 lr: 4.0771e-05 eta: 4 days, 0:42:01 time: 2.3821 data_time: 0.1110 memory: 26533 grad_norm: 0.8336 loss: 1.2512 caption_loss_cls: 2.5444 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3074 instance_segmentation_loss_poly: 0.8316 detection_loss_cls: 0.0576 detection_loss_reg: 0.4574 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7255 2023/10/22 06:09:31 - mmengine - INFO - Iter(train) [160700/320000] base_lr: 1.0032e-04 lr: 4.0732e-05 eta: 4 days, 1:14:42 time: 2.3855 data_time: 0.1111 memory: 26533 grad_norm: 0.8305 loss: 1.2493 caption_loss_cls: 2.5456 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_reg: 0.3074 instance_segmentation_loss_poly: 0.8320 detection_loss_cls: 0.0575 detection_loss_reg: 0.4574 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7258 2023/10/22 06:13:05 - mmengine - INFO - Iter(train) [160800/320000] base_lr: 1.0022e-04 lr: 4.0694e-05 eta: 4 days, 1:03:19 time: 2.3729 data_time: 0.1110 memory: 25855 grad_norm: 0.8300 loss: 1.2479 caption_loss_cls: 2.5442 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8308 detection_loss_cls: 0.0572 detection_loss_reg: 0.4561 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7246 2023/10/22 06:17:04 - mmengine - INFO - Iter(train) [160900/320000] base_lr: 1.0013e-04 lr: 4.0656e-05 eta: 4 days, 1:26:47 time: 2.3748 data_time: 0.1110 memory: 26533 grad_norm: 0.8276 loss: 1.2454 caption_loss_cls: 2.5431 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3065 instance_segmentation_loss_poly: 0.8297 detection_loss_cls: 0.0572 detection_loss_reg: 0.4568 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7241 2023/10/22 06:20:35 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 06:20:35 - mmengine - INFO - Iter(train) [161000/320000] base_lr: 1.0003e-04 lr: 4.0618e-05 eta: 4 days, 1:09:57 time: 2.3646 data_time: 0.1109 memory: 25855 grad_norm: 0.8276 loss: 1.2460 caption_loss_cls: 2.5416 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8302 detection_loss_cls: 0.0572 detection_loss_reg: 0.4578 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7227 2023/10/22 06:20:35 - mmengine - INFO - Saving checkpoint at 161000 iterations 2023/10/22 06:25:32 - mmengine - INFO - Iter(train) [161100/320000] base_lr: 9.9932e-05 lr: 4.0579e-05 eta: 4 days, 2:43:41 time: 2.3578 data_time: 0.1110 memory: 26533 grad_norm: 0.8244 loss: 1.2479 caption_loss_cls: 2.5392 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3068 instance_segmentation_loss_poly: 0.8307 detection_loss_cls: 0.0572 detection_loss_reg: 0.4577 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7219 2023/10/22 06:29:20 - mmengine - INFO - Iter(train) [161200/320000] base_lr: 9.9835e-05 lr: 4.0541e-05 eta: 4 days, 2:45:13 time: 2.3539 data_time: 0.1109 memory: 26533 grad_norm: 0.8190 loss: 1.2393 caption_loss_cls: 2.5379 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_reg: 0.3065 instance_segmentation_loss_poly: 0.8300 detection_loss_cls: 0.0573 detection_loss_reg: 0.4588 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7216 2023/10/22 06:33:10 - mmengine - INFO - Iter(train) [161300/320000] base_lr: 9.9737e-05 lr: 4.0503e-05 eta: 4 days, 2:48:02 time: 2.3532 data_time: 0.1108 memory: 26533 grad_norm: 0.8215 loss: 1.2372 caption_loss_cls: 2.5353 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_reg: 0.3067 instance_segmentation_loss_poly: 0.8300 detection_loss_cls: 0.0574 detection_loss_reg: 0.4594 semantic_segmentation_loss_cls: 0.0142 grounding_loss_reg: 3.7194 2023/10/22 06:37:06 - mmengine - INFO - Iter(train) [161400/320000] base_lr: 9.9640e-05 lr: 4.0464e-05 eta: 4 days, 2:58:09 time: 2.3502 data_time: 0.1109 memory: 26533 grad_norm: 0.8175 loss: 1.2370 caption_loss_cls: 2.5362 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_reg: 0.3058 instance_segmentation_loss_poly: 0.8285 detection_loss_cls: 0.0574 detection_loss_reg: 0.4597 semantic_segmentation_loss_cls: 0.0142 grounding_loss_reg: 3.7183 2023/10/22 06:41:00 - mmengine - INFO - Iter(train) [161500/320000] base_lr: 9.9543e-05 lr: 4.0426e-05 eta: 4 days, 3:04:09 time: 2.3420 data_time: 0.1108 memory: 26533 grad_norm: 0.8146 loss: 1.2313 caption_loss_cls: 2.5356 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_reg: 0.3056 instance_segmentation_loss_poly: 0.8270 detection_loss_cls: 0.0573 detection_loss_reg: 0.4596 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7168 2023/10/22 06:41:00 - mmengine - INFO - Saving checkpoint at 161500 iterations 2023/10/22 06:46:09 - mmengine - INFO - Iter(train) [161600/320000] base_lr: 9.9446e-05 lr: 4.0388e-05 eta: 4 days, 4:25:11 time: 2.3459 data_time: 0.1111 memory: 26533 grad_norm: 0.8081 loss: 1.2257 caption_loss_cls: 2.5371 instance_segmentation_loss_cls: 0.0401 instance_segmentation_loss_reg: 0.3055 instance_segmentation_loss_poly: 0.8268 detection_loss_cls: 0.0574 detection_loss_reg: 0.4599 semantic_segmentation_loss_cls: 0.0142 grounding_loss_reg: 3.7151 2023/10/22 06:50:12 - mmengine - INFO - Iter(train) [161700/320000] base_lr: 9.9349e-05 lr: 4.0350e-05 eta: 4 days, 4:36:03 time: 2.3516 data_time: 0.1111 memory: 25855 grad_norm: 0.8041 loss: 1.2212 caption_loss_cls: 2.5381 instance_segmentation_loss_cls: 0.0400 instance_segmentation_loss_reg: 0.3049 instance_segmentation_loss_poly: 0.8254 detection_loss_cls: 0.0572 detection_loss_reg: 0.4591 semantic_segmentation_loss_cls: 0.0142 grounding_loss_reg: 3.7143 2023/10/22 06:54:07 - mmengine - INFO - Iter(train) [161800/320000] base_lr: 9.9252e-05 lr: 4.0311e-05 eta: 4 days, 4:37:39 time: 2.3504 data_time: 0.1110 memory: 26533 grad_norm: 0.8063 loss: 1.2163 caption_loss_cls: 2.5391 instance_segmentation_loss_cls: 0.0399 instance_segmentation_loss_reg: 0.3047 instance_segmentation_loss_poly: 0.8254 detection_loss_cls: 0.0571 detection_loss_reg: 0.4580 semantic_segmentation_loss_cls: 0.0142 grounding_loss_reg: 3.7124 2023/10/22 06:58:22 - mmengine - INFO - Iter(train) [161900/320000] base_lr: 9.9154e-05 lr: 4.0273e-05 eta: 4 days, 4:58:07 time: 2.3457 data_time: 0.1109 memory: 25855 grad_norm: 0.7961 loss: 1.2070 caption_loss_cls: 2.5363 instance_segmentation_loss_cls: 0.0399 instance_segmentation_loss_reg: 0.3049 instance_segmentation_loss_poly: 0.8252 detection_loss_cls: 0.0571 detection_loss_reg: 0.4576 semantic_segmentation_loss_cls: 0.0142 grounding_loss_reg: 3.7124 2023/10/22 07:02:29 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 07:02:29 - mmengine - INFO - Iter(train) [162000/320000] base_lr: 9.9057e-05 lr: 4.0235e-05 eta: 4 days, 5:08:48 time: 2.3423 data_time: 0.1108 memory: 26533 grad_norm: 0.7915 loss: 1.2003 caption_loss_cls: 2.5377 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_reg: 0.3040 instance_segmentation_loss_poly: 0.8231 detection_loss_cls: 0.0572 detection_loss_reg: 0.4580 semantic_segmentation_loss_cls: 0.0143 grounding_loss_reg: 3.7123 2023/10/22 07:02:29 - mmengine - INFO - Saving checkpoint at 162000 iterations 2023/10/22 07:07:35 - mmengine - INFO - Iter(train) [162100/320000] base_lr: 9.8960e-05 lr: 4.0196e-05 eta: 4 days, 6:08:50 time: 2.3482 data_time: 0.1109 memory: 25855 grad_norm: 0.7884 loss: 1.1888 caption_loss_cls: 2.5365 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3036 instance_segmentation_loss_poly: 0.8223 detection_loss_cls: 0.0572 detection_loss_reg: 0.4582 semantic_segmentation_loss_cls: 0.0142 grounding_loss_reg: 3.7098 2023/10/22 07:11:39 - mmengine - INFO - Iter(train) [162200/320000] base_lr: 9.8863e-05 lr: 4.0158e-05 eta: 4 days, 6:14:15 time: 2.3484 data_time: 0.1109 memory: 26533 grad_norm: 0.7818 loss: 1.1826 caption_loss_cls: 2.5332 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_reg: 0.3041 instance_segmentation_loss_poly: 0.8230 detection_loss_cls: 0.0571 detection_loss_reg: 0.4582 semantic_segmentation_loss_cls: 0.0142 grounding_loss_reg: 3.7098 2023/10/22 07:16:12 - mmengine - INFO - Iter(train) [162300/320000] base_lr: 9.8766e-05 lr: 4.0120e-05 eta: 4 days, 6:42:05 time: 2.3514 data_time: 0.1110 memory: 26533 grad_norm: 0.7758 loss: 1.1812 caption_loss_cls: 2.5344 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3042 instance_segmentation_loss_poly: 0.8232 detection_loss_cls: 0.0572 detection_loss_reg: 0.4594 semantic_segmentation_loss_cls: 0.0142 grounding_loss_reg: 3.7087 2023/10/22 07:19:56 - mmengine - INFO - Iter(train) [162400/320000] base_lr: 9.8669e-05 lr: 4.0082e-05 eta: 4 days, 6:30:21 time: 2.3484 data_time: 0.1110 memory: 25855 grad_norm: 0.7709 loss: 1.1784 caption_loss_cls: 2.5346 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_reg: 0.3046 instance_segmentation_loss_poly: 0.8242 detection_loss_cls: 0.0570 detection_loss_reg: 0.4586 semantic_segmentation_loss_cls: 0.0142 grounding_loss_reg: 3.7078 2023/10/22 07:24:01 - mmengine - INFO - Iter(train) [162500/320000] base_lr: 9.8571e-05 lr: 4.0043e-05 eta: 4 days, 6:34:40 time: 2.3524 data_time: 0.1111 memory: 25855 grad_norm: 0.7687 loss: 1.1725 caption_loss_cls: 2.5366 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3044 instance_segmentation_loss_poly: 0.8234 detection_loss_cls: 0.0570 detection_loss_reg: 0.4593 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.7048 2023/10/22 07:24:01 - mmengine - INFO - Saving checkpoint at 162500 iterations 2023/10/22 07:28:54 - mmengine - INFO - Iter(train) [162600/320000] base_lr: 9.8474e-05 lr: 4.0005e-05 eta: 4 days, 7:12:45 time: 2.3500 data_time: 0.1109 memory: 25855 grad_norm: 0.7620 loss: 1.1657 caption_loss_cls: 2.5358 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3035 instance_segmentation_loss_poly: 0.8220 detection_loss_cls: 0.0569 detection_loss_reg: 0.4594 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.7048 2023/10/22 07:33:03 - mmengine - INFO - Iter(train) [162700/320000] base_lr: 9.8377e-05 lr: 3.9967e-05 eta: 4 days, 7:18:30 time: 2.3474 data_time: 0.1108 memory: 26533 grad_norm: 0.7600 loss: 1.1627 caption_loss_cls: 2.5338 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3034 instance_segmentation_loss_poly: 0.8217 detection_loss_cls: 0.0569 detection_loss_reg: 0.4593 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.7042 2023/10/22 07:37:19 - mmengine - INFO - Iter(train) [162800/320000] base_lr: 9.8280e-05 lr: 3.9928e-05 eta: 4 days, 7:27:36 time: 2.3562 data_time: 0.1109 memory: 26533 grad_norm: 0.7532 loss: 1.1587 caption_loss_cls: 2.5323 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3030 instance_segmentation_loss_poly: 0.8210 detection_loss_cls: 0.0569 detection_loss_reg: 0.4583 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.7047 2023/10/22 07:41:26 - mmengine - INFO - Iter(train) [162900/320000] base_lr: 9.8183e-05 lr: 3.9890e-05 eta: 4 days, 7:30:30 time: 2.3684 data_time: 0.1110 memory: 26533 grad_norm: 0.7431 loss: 1.1466 caption_loss_cls: 2.5292 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3025 instance_segmentation_loss_poly: 0.8198 detection_loss_cls: 0.0568 detection_loss_reg: 0.4578 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.7045 2023/10/22 07:45:51 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 07:45:51 - mmengine - INFO - Iter(train) [163000/320000] base_lr: 9.8086e-05 lr: 3.9852e-05 eta: 4 days, 7:44:53 time: 2.3789 data_time: 0.1113 memory: 25855 grad_norm: 0.7387 loss: 1.1435 caption_loss_cls: 2.5287 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.8205 detection_loss_cls: 0.0570 detection_loss_reg: 0.4592 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.7041 2023/10/22 07:45:51 - mmengine - INFO - Saving checkpoint at 163000 iterations 2023/10/22 07:50:54 - mmengine - INFO - Iter(train) [163100/320000] base_lr: 9.7988e-05 lr: 3.9814e-05 eta: 4 days, 8:22:38 time: 2.4138 data_time: 0.1263 memory: 26533 grad_norm: 0.7412 loss: 1.1430 caption_loss_cls: 2.5262 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.8202 detection_loss_cls: 0.0569 detection_loss_reg: 0.4585 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.7031 2023/10/22 07:55:12 - mmengine - INFO - Iter(train) [163200/320000] base_lr: 9.7891e-05 lr: 3.9775e-05 eta: 4 days, 8:30:07 time: 2.4325 data_time: 0.1264 memory: 26533 grad_norm: 0.7335 loss: 1.1388 caption_loss_cls: 2.5263 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.8201 detection_loss_cls: 0.0569 detection_loss_reg: 0.4579 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.7024 2023/10/22 07:59:01 - mmengine - INFO - Iter(train) [163300/320000] base_lr: 9.7794e-05 lr: 3.9737e-05 eta: 4 days, 8:18:53 time: 2.4416 data_time: 0.1265 memory: 26533 grad_norm: 0.7355 loss: 1.1438 caption_loss_cls: 2.5249 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3031 instance_segmentation_loss_poly: 0.8208 detection_loss_cls: 0.0566 detection_loss_reg: 0.4563 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.7017 2023/10/22 08:03:22 - mmengine - INFO - Iter(train) [163400/320000] base_lr: 9.7697e-05 lr: 3.9699e-05 eta: 4 days, 8:27:44 time: 2.4577 data_time: 0.1265 memory: 25855 grad_norm: 0.7290 loss: 1.1368 caption_loss_cls: 2.5243 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3032 instance_segmentation_loss_poly: 0.8207 detection_loss_cls: 0.0565 detection_loss_reg: 0.4556 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.7013 2023/10/22 08:07:06 - mmengine - INFO - Iter(train) [163500/320000] base_lr: 9.7600e-05 lr: 3.9661e-05 eta: 4 days, 8:14:36 time: 2.4598 data_time: 0.1265 memory: 25855 grad_norm: 0.7304 loss: 1.1417 caption_loss_cls: 2.5242 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_reg: 0.3034 instance_segmentation_loss_poly: 0.8208 detection_loss_cls: 0.0564 detection_loss_reg: 0.4552 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.7013 2023/10/22 08:07:06 - mmengine - INFO - Saving checkpoint at 163500 iterations 2023/10/22 08:11:56 - mmengine - INFO - Iter(train) [163600/320000] base_lr: 9.7503e-05 lr: 3.9622e-05 eta: 4 days, 8:39:03 time: 2.4653 data_time: 0.1268 memory: 25855 grad_norm: 0.7257 loss: 1.1418 caption_loss_cls: 2.5243 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3029 instance_segmentation_loss_poly: 0.8200 detection_loss_cls: 0.0564 detection_loss_reg: 0.4554 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6997 2023/10/22 08:16:12 - mmengine - INFO - Iter(train) [163700/320000] base_lr: 9.7406e-05 lr: 3.9584e-05 eta: 4 days, 8:43:00 time: 2.4699 data_time: 0.1269 memory: 25855 grad_norm: 0.7201 loss: 1.1378 caption_loss_cls: 2.5255 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3029 instance_segmentation_loss_poly: 0.8202 detection_loss_cls: 0.0564 detection_loss_reg: 0.4546 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.7005 2023/10/22 08:20:03 - mmengine - INFO - Iter(train) [163800/320000] base_lr: 9.7308e-05 lr: 3.9546e-05 eta: 4 days, 8:33:47 time: 2.4762 data_time: 0.1269 memory: 25855 grad_norm: 0.7188 loss: 1.1395 caption_loss_cls: 2.5256 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3027 instance_segmentation_loss_poly: 0.8194 detection_loss_cls: 0.0562 detection_loss_reg: 0.4538 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6996 2023/10/22 08:24:27 - mmengine - INFO - Iter(train) [163900/320000] base_lr: 9.7211e-05 lr: 3.9508e-05 eta: 4 days, 8:42:01 time: 2.4946 data_time: 0.1271 memory: 26533 grad_norm: 0.7218 loss: 1.1462 caption_loss_cls: 2.5300 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3029 instance_segmentation_loss_poly: 0.8198 detection_loss_cls: 0.0561 detection_loss_reg: 0.4528 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6981 2023/10/22 08:28:39 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 08:28:39 - mmengine - INFO - Iter(train) [164000/320000] base_lr: 9.7114e-05 lr: 3.9469e-05 eta: 4 days, 8:43:16 time: 2.5050 data_time: 0.1273 memory: 25855 grad_norm: 0.7203 loss: 1.1472 caption_loss_cls: 2.5296 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3026 instance_segmentation_loss_poly: 0.8183 detection_loss_cls: 0.0560 detection_loss_reg: 0.4536 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6967 2023/10/22 08:28:39 - mmengine - INFO - Saving checkpoint at 164000 iterations 2023/10/22 08:34:06 - mmengine - INFO - Iter(train) [164100/320000] base_lr: 9.7017e-05 lr: 3.9431e-05 eta: 4 days, 9:22:39 time: 2.5276 data_time: 0.1423 memory: 26533 grad_norm: 0.7221 loss: 1.1492 caption_loss_cls: 2.5276 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_reg: 0.3028 instance_segmentation_loss_poly: 0.8192 detection_loss_cls: 0.0561 detection_loss_reg: 0.4536 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6953 2023/10/22 08:38:02 - mmengine - INFO - Iter(train) [164200/320000] base_lr: 9.6920e-05 lr: 3.9393e-05 eta: 4 days, 9:15:12 time: 2.5280 data_time: 0.1425 memory: 25855 grad_norm: 0.7223 loss: 1.1549 caption_loss_cls: 2.5263 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3027 instance_segmentation_loss_poly: 0.8199 detection_loss_cls: 0.0561 detection_loss_reg: 0.4544 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6948 2023/10/22 08:42:20 - mmengine - INFO - Iter(train) [164300/320000] base_lr: 9.6823e-05 lr: 3.9354e-05 eta: 4 days, 9:18:18 time: 2.5373 data_time: 0.1425 memory: 26533 grad_norm: 0.7208 loss: 1.1585 caption_loss_cls: 2.5285 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_reg: 0.3025 instance_segmentation_loss_poly: 0.8198 detection_loss_cls: 0.0560 detection_loss_reg: 0.4546 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6937 2023/10/22 08:46:43 - mmengine - INFO - Iter(train) [164400/320000] base_lr: 9.6726e-05 lr: 3.9316e-05 eta: 4 days, 9:23:21 time: 2.5490 data_time: 0.1426 memory: 25855 grad_norm: 0.7190 loss: 1.1573 caption_loss_cls: 2.5289 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_reg: 0.3022 instance_segmentation_loss_poly: 0.8195 detection_loss_cls: 0.0559 detection_loss_reg: 0.4542 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6936 2023/10/22 08:51:07 - mmengine - INFO - Iter(train) [164500/320000] base_lr: 9.6629e-05 lr: 3.9278e-05 eta: 4 days, 9:29:01 time: 2.5588 data_time: 0.1425 memory: 25855 grad_norm: 0.7167 loss: 1.1506 caption_loss_cls: 2.5275 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3018 instance_segmentation_loss_poly: 0.8190 detection_loss_cls: 0.0559 detection_loss_reg: 0.4532 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6927 2023/10/22 08:51:07 - mmengine - INFO - Saving checkpoint at 164500 iterations 2023/10/22 08:56:08 - mmengine - INFO - Iter(train) [164600/320000] base_lr: 9.6532e-05 lr: 3.9240e-05 eta: 4 days, 9:51:04 time: 2.5594 data_time: 0.1423 memory: 25855 grad_norm: 0.7188 loss: 1.1495 caption_loss_cls: 2.5274 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 0.8185 detection_loss_cls: 0.0560 detection_loss_reg: 0.4533 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6922 2023/10/22 09:00:06 - mmengine - INFO - Iter(train) [164700/320000] base_lr: 9.6435e-05 lr: 3.9201e-05 eta: 4 days, 9:43:52 time: 2.5586 data_time: 0.1423 memory: 26533 grad_norm: 0.7186 loss: 1.1478 caption_loss_cls: 2.5281 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3012 instance_segmentation_loss_poly: 0.8181 detection_loss_cls: 0.0559 detection_loss_reg: 0.4528 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6917 2023/10/22 09:04:34 - mmengine - INFO - Iter(train) [164800/320000] base_lr: 9.6337e-05 lr: 3.9163e-05 eta: 4 days, 9:49:40 time: 2.5718 data_time: 0.1424 memory: 26533 grad_norm: 0.7162 loss: 1.1511 caption_loss_cls: 2.5294 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3009 instance_segmentation_loss_poly: 0.8172 detection_loss_cls: 0.0560 detection_loss_reg: 0.4529 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6907 2023/10/22 09:08:53 - mmengine - INFO - Iter(train) [164900/320000] base_lr: 9.6240e-05 lr: 3.9125e-05 eta: 4 days, 9:51:24 time: 2.5768 data_time: 0.1426 memory: 26533 grad_norm: 0.7160 loss: 1.1505 caption_loss_cls: 2.5316 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.8158 detection_loss_cls: 0.0560 detection_loss_reg: 0.4533 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6910 2023/10/22 09:12:45 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 09:12:45 - mmengine - INFO - Iter(train) [165000/320000] base_lr: 9.6143e-05 lr: 3.9087e-05 eta: 4 days, 9:41:31 time: 2.5822 data_time: 0.1426 memory: 25855 grad_norm: 0.7140 loss: 1.1470 caption_loss_cls: 2.5310 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.8156 detection_loss_cls: 0.0557 detection_loss_reg: 0.4515 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6910 2023/10/22 09:12:45 - mmengine - INFO - Saving checkpoint at 165000 iterations 2023/10/22 09:17:47 - mmengine - INFO - Iter(train) [165100/320000] base_lr: 9.6046e-05 lr: 3.9049e-05 eta: 4 days, 10:01:34 time: 2.5835 data_time: 0.1418 memory: 26533 grad_norm: 0.7126 loss: 1.1432 caption_loss_cls: 2.5298 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3007 instance_segmentation_loss_poly: 0.8159 detection_loss_cls: 0.0557 detection_loss_reg: 0.4517 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6904 2023/10/22 09:21:48 - mmengine - INFO - Iter(train) [165200/320000] base_lr: 9.5949e-05 lr: 3.9010e-05 eta: 4 days, 9:54:55 time: 2.5866 data_time: 0.1419 memory: 25855 grad_norm: 0.7156 loss: 1.1450 caption_loss_cls: 2.5311 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.8159 detection_loss_cls: 0.0556 detection_loss_reg: 0.4506 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6877 2023/10/22 09:25:50 - mmengine - INFO - Iter(train) [165300/320000] base_lr: 9.5852e-05 lr: 3.8972e-05 eta: 4 days, 9:48:57 time: 2.5896 data_time: 0.1419 memory: 26533 grad_norm: 0.7148 loss: 1.1475 caption_loss_cls: 2.5314 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3006 instance_segmentation_loss_poly: 0.8161 detection_loss_cls: 0.0557 detection_loss_reg: 0.4514 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6858 2023/10/22 09:29:31 - mmengine - INFO - Iter(train) [165400/320000] base_lr: 9.5755e-05 lr: 3.8934e-05 eta: 4 days, 9:34:47 time: 2.5858 data_time: 0.1418 memory: 25855 grad_norm: 0.7225 loss: 1.1486 caption_loss_cls: 2.5298 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3008 instance_segmentation_loss_poly: 0.8164 detection_loss_cls: 0.0557 detection_loss_reg: 0.4506 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6843 2023/10/22 09:33:47 - mmengine - INFO - Iter(train) [165500/320000] base_lr: 9.5658e-05 lr: 3.8896e-05 eta: 4 days, 9:34:47 time: 2.5913 data_time: 0.1419 memory: 26533 grad_norm: 0.7230 loss: 1.1518 caption_loss_cls: 2.5271 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3007 instance_segmentation_loss_poly: 0.8169 detection_loss_cls: 0.0558 detection_loss_reg: 0.4506 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.6836 2023/10/22 09:33:47 - mmengine - INFO - Saving checkpoint at 165500 iterations 2023/10/22 09:38:48 - mmengine - INFO - Iter(train) [165600/320000] base_lr: 9.5561e-05 lr: 3.8857e-05 eta: 4 days, 9:51:57 time: 2.5894 data_time: 0.1418 memory: 25855 grad_norm: 0.7212 loss: 1.1519 caption_loss_cls: 2.5247 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.8167 detection_loss_cls: 0.0557 detection_loss_reg: 0.4502 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6835 2023/10/22 09:42:54 - mmengine - INFO - Iter(train) [165700/320000] base_lr: 9.5464e-05 lr: 3.8819e-05 eta: 4 days, 9:47:35 time: 2.5901 data_time: 0.1419 memory: 25855 grad_norm: 0.7195 loss: 1.1496 caption_loss_cls: 2.5243 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.8173 detection_loss_cls: 0.0555 detection_loss_reg: 0.4495 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.6821 2023/10/22 09:47:26 - mmengine - INFO - Iter(train) [165800/320000] base_lr: 9.5367e-05 lr: 3.8781e-05 eta: 4 days, 9:53:09 time: 2.5996 data_time: 0.1422 memory: 26533 grad_norm: 0.7130 loss: 1.1429 caption_loss_cls: 2.5208 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.8167 detection_loss_cls: 0.0554 detection_loss_reg: 0.4499 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.6800 2023/10/22 09:51:47 - mmengine - INFO - Iter(train) [165900/320000] base_lr: 9.5270e-05 lr: 3.8743e-05 eta: 4 days, 9:53:54 time: 2.6007 data_time: 0.1424 memory: 26533 grad_norm: 0.7144 loss: 1.1483 caption_loss_cls: 2.5198 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3007 instance_segmentation_loss_poly: 0.8179 detection_loss_cls: 0.0554 detection_loss_reg: 0.4500 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6796 2023/10/22 09:55:14 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 09:55:14 - mmengine - INFO - Iter(train) [166000/320000] base_lr: 9.5173e-05 lr: 3.8704e-05 eta: 4 days, 9:35:15 time: 2.5910 data_time: 0.1424 memory: 26533 grad_norm: 0.7220 loss: 1.1572 caption_loss_cls: 2.5219 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3009 instance_segmentation_loss_poly: 0.8180 detection_loss_cls: 0.0555 detection_loss_reg: 0.4506 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6782 2023/10/22 09:55:14 - mmengine - INFO - Saving checkpoint at 166000 iterations 2023/10/22 10:00:29 - mmengine - INFO - Iter(train) [166100/320000] base_lr: 9.5076e-05 lr: 3.8666e-05 eta: 4 days, 9:55:24 time: 2.5931 data_time: 0.1423 memory: 26533 grad_norm: 0.7209 loss: 1.1600 caption_loss_cls: 2.5208 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.8173 detection_loss_cls: 0.0555 detection_loss_reg: 0.4496 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6776 2023/10/22 10:04:25 - mmengine - INFO - Iter(train) [166200/320000] base_lr: 9.4979e-05 lr: 3.8628e-05 eta: 4 days, 9:47:23 time: 2.5913 data_time: 0.1422 memory: 26533 grad_norm: 0.7227 loss: 1.1597 caption_loss_cls: 2.5177 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3006 instance_segmentation_loss_poly: 0.8181 detection_loss_cls: 0.0555 detection_loss_reg: 0.4491 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6773 2023/10/22 10:08:38 - mmengine - INFO - Iter(train) [166300/320000] base_lr: 9.4882e-05 lr: 3.8590e-05 eta: 4 days, 9:45:07 time: 2.5862 data_time: 0.1423 memory: 25855 grad_norm: 0.7239 loss: 1.1621 caption_loss_cls: 2.5162 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_reg: 0.3011 instance_segmentation_loss_poly: 0.8193 detection_loss_cls: 0.0552 detection_loss_reg: 0.4493 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6762 2023/10/22 10:12:59 - mmengine - INFO - Iter(train) [166400/320000] base_lr: 9.4785e-05 lr: 3.8552e-05 eta: 4 days, 9:45:17 time: 2.5952 data_time: 0.1423 memory: 25855 grad_norm: 0.7209 loss: 1.1590 caption_loss_cls: 2.5149 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3008 instance_segmentation_loss_poly: 0.8187 detection_loss_cls: 0.0550 detection_loss_reg: 0.4491 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6745 2023/10/22 10:16:58 - mmengine - INFO - Iter(train) [166500/320000] base_lr: 9.4688e-05 lr: 3.8513e-05 eta: 4 days, 9:38:18 time: 2.5938 data_time: 0.1422 memory: 25855 grad_norm: 0.7200 loss: 1.1593 caption_loss_cls: 2.5120 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.8187 detection_loss_cls: 0.0550 detection_loss_reg: 0.4496 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6730 2023/10/22 10:16:58 - mmengine - INFO - Saving checkpoint at 166500 iterations 2023/10/22 10:22:18 - mmengine - INFO - Iter(train) [166600/320000] base_lr: 9.4591e-05 lr: 3.8475e-05 eta: 4 days, 9:58:29 time: 2.6008 data_time: 0.1424 memory: 26533 grad_norm: 0.7175 loss: 1.1594 caption_loss_cls: 2.5142 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_reg: 0.3010 instance_segmentation_loss_poly: 0.8198 detection_loss_cls: 0.0551 detection_loss_reg: 0.4499 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6718 2023/10/22 10:26:20 - mmengine - INFO - Iter(train) [166700/320000] base_lr: 9.4494e-05 lr: 3.8437e-05 eta: 4 days, 9:52:06 time: 2.5988 data_time: 0.1423 memory: 25855 grad_norm: 0.7168 loss: 1.1581 caption_loss_cls: 2.5162 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3007 instance_segmentation_loss_poly: 0.8190 detection_loss_cls: 0.0549 detection_loss_reg: 0.4487 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.6717 2023/10/22 10:30:59 - mmengine - INFO - Iter(train) [166800/320000] base_lr: 9.4397e-05 lr: 3.8399e-05 eta: 4 days, 9:57:54 time: 2.6047 data_time: 0.1423 memory: 26533 grad_norm: 0.7111 loss: 1.1514 caption_loss_cls: 2.5158 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.8181 detection_loss_cls: 0.0550 detection_loss_reg: 0.4491 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6711 2023/10/22 10:34:48 - mmengine - INFO - Iter(train) [166900/320000] base_lr: 9.4300e-05 lr: 3.8361e-05 eta: 4 days, 9:47:15 time: 2.6002 data_time: 0.1422 memory: 26533 grad_norm: 0.7194 loss: 1.1583 caption_loss_cls: 2.5168 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_reg: 0.2993 instance_segmentation_loss_poly: 0.8164 detection_loss_cls: 0.0549 detection_loss_reg: 0.4483 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6698 2023/10/22 10:38:44 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 10:38:44 - mmengine - INFO - Iter(train) [167000/320000] base_lr: 9.4203e-05 lr: 3.8322e-05 eta: 4 days, 9:38:56 time: 2.5928 data_time: 0.1421 memory: 26533 grad_norm: 0.7199 loss: 1.1603 caption_loss_cls: 2.5199 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8158 detection_loss_cls: 0.0548 detection_loss_reg: 0.4471 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6691 2023/10/22 10:38:44 - mmengine - INFO - Saving checkpoint at 167000 iterations 2023/10/22 10:44:02 - mmengine - INFO - Iter(train) [167100/320000] base_lr: 9.4106e-05 lr: 3.8284e-05 eta: 4 days, 9:56:43 time: 2.5965 data_time: 0.1421 memory: 26533 grad_norm: 0.7185 loss: 1.1603 caption_loss_cls: 2.5189 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.8158 detection_loss_cls: 0.0548 detection_loss_reg: 0.4472 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6684 2023/10/22 10:48:53 - mmengine - INFO - Iter(train) [167200/320000] base_lr: 9.4009e-05 lr: 3.8246e-05 eta: 4 days, 10:05:29 time: 2.6048 data_time: 0.1420 memory: 26533 grad_norm: 0.7186 loss: 1.1577 caption_loss_cls: 2.5184 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.8155 detection_loss_cls: 0.0547 detection_loss_reg: 0.4475 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6679 2023/10/22 10:53:07 - mmengine - INFO - Iter(train) [167300/320000] base_lr: 9.3912e-05 lr: 3.8208e-05 eta: 4 days, 10:02:33 time: 2.6113 data_time: 0.1419 memory: 25855 grad_norm: 0.7134 loss: 1.1504 caption_loss_cls: 2.5160 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8154 detection_loss_cls: 0.0546 detection_loss_reg: 0.4462 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6676 2023/10/22 10:57:56 - mmengine - INFO - Iter(train) [167400/320000] base_lr: 9.3815e-05 lr: 3.8170e-05 eta: 4 days, 10:10:08 time: 2.6182 data_time: 0.1420 memory: 25855 grad_norm: 0.7157 loss: 1.1564 caption_loss_cls: 2.5166 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.8157 detection_loss_cls: 0.0547 detection_loss_reg: 0.4461 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6671 2023/10/22 11:02:40 - mmengine - INFO - Iter(train) [167500/320000] base_lr: 9.3718e-05 lr: 3.8131e-05 eta: 4 days, 10:15:55 time: 2.6330 data_time: 0.1437 memory: 25855 grad_norm: 0.7188 loss: 1.1567 caption_loss_cls: 2.5146 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.8151 detection_loss_cls: 0.0547 detection_loss_reg: 0.4458 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6652 2023/10/22 11:02:40 - mmengine - INFO - Saving checkpoint at 167500 iterations 2023/10/22 11:07:33 - mmengine - INFO - Iter(train) [167600/320000] base_lr: 9.3621e-05 lr: 3.8093e-05 eta: 4 days, 10:24:06 time: 2.6337 data_time: 0.1438 memory: 26533 grad_norm: 0.7192 loss: 1.1564 caption_loss_cls: 2.5139 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.8140 detection_loss_cls: 0.0547 detection_loss_reg: 0.4458 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6648 2023/10/22 11:11:48 - mmengine - INFO - Iter(train) [167700/320000] base_lr: 9.3524e-05 lr: 3.8055e-05 eta: 4 days, 10:20:57 time: 2.6336 data_time: 0.1439 memory: 26533 grad_norm: 0.7273 loss: 1.1633 caption_loss_cls: 2.5137 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.8129 detection_loss_cls: 0.0545 detection_loss_reg: 0.4461 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6644 2023/10/22 11:16:03 - mmengine - INFO - Iter(train) [167800/320000] base_lr: 9.3427e-05 lr: 3.8017e-05 eta: 4 days, 10:17:54 time: 2.6395 data_time: 0.1439 memory: 26533 grad_norm: 0.7297 loss: 1.1637 caption_loss_cls: 2.5129 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.8131 detection_loss_cls: 0.0544 detection_loss_reg: 0.4456 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.6630 2023/10/22 11:20:13 - mmengine - INFO - Iter(train) [167900/320000] base_lr: 9.3330e-05 lr: 3.7979e-05 eta: 4 days, 10:13:14 time: 2.6360 data_time: 0.1439 memory: 26533 grad_norm: 0.7233 loss: 1.1568 caption_loss_cls: 2.5126 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.8133 detection_loss_cls: 0.0543 detection_loss_reg: 0.4458 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.6627 2023/10/22 11:24:02 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 11:24:02 - mmengine - INFO - Iter(train) [168000/320000] base_lr: 9.3234e-05 lr: 3.7940e-05 eta: 4 days, 10:02:50 time: 2.6304 data_time: 0.1438 memory: 25855 grad_norm: 0.7231 loss: 1.1546 caption_loss_cls: 2.5138 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.8141 detection_loss_cls: 0.0543 detection_loss_reg: 0.4455 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.6617 2023/10/22 11:24:02 - mmengine - INFO - Saving checkpoint at 168000 iterations 2023/10/22 11:28:40 - mmengine - INFO - Iter(train) [168100/320000] base_lr: 9.3137e-05 lr: 3.7902e-05 eta: 4 days, 10:05:57 time: 2.6180 data_time: 0.1437 memory: 25855 grad_norm: 0.7261 loss: 1.1560 caption_loss_cls: 2.5133 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.8132 detection_loss_cls: 0.0542 detection_loss_reg: 0.4447 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6607 2023/10/22 11:33:22 - mmengine - INFO - Iter(train) [168200/320000] base_lr: 9.3040e-05 lr: 3.7864e-05 eta: 4 days, 10:10:23 time: 2.6296 data_time: 0.1437 memory: 26533 grad_norm: 0.7188 loss: 1.1443 caption_loss_cls: 2.5140 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.8128 detection_loss_cls: 0.0541 detection_loss_reg: 0.4440 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6604 2023/10/22 11:37:41 - mmengine - INFO - Iter(train) [168300/320000] base_lr: 9.2943e-05 lr: 3.7826e-05 eta: 4 days, 10:08:02 time: 2.6298 data_time: 0.1437 memory: 26533 grad_norm: 0.7198 loss: 1.1421 caption_loss_cls: 2.5113 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.8126 detection_loss_cls: 0.0541 detection_loss_reg: 0.4435 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.6592 2023/10/22 11:41:53 - mmengine - INFO - Iter(train) [168400/320000] base_lr: 9.2846e-05 lr: 3.7788e-05 eta: 4 days, 10:03:52 time: 2.6272 data_time: 0.1436 memory: 26533 grad_norm: 0.7189 loss: 1.1417 caption_loss_cls: 2.5137 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.8126 detection_loss_cls: 0.0542 detection_loss_reg: 0.4435 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6580 2023/10/22 11:46:22 - mmengine - INFO - Iter(train) [168500/320000] base_lr: 9.2749e-05 lr: 3.7750e-05 eta: 4 days, 10:04:18 time: 2.6284 data_time: 0.1437 memory: 26533 grad_norm: 0.7189 loss: 1.1430 caption_loss_cls: 2.5115 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.8123 detection_loss_cls: 0.0543 detection_loss_reg: 0.4432 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.6567 2023/10/22 11:46:22 - mmengine - INFO - Saving checkpoint at 168500 iterations 2023/10/22 11:51:01 - mmengine - INFO - Iter(train) [168600/320000] base_lr: 9.2652e-05 lr: 3.7712e-05 eta: 4 days, 10:07:07 time: 2.6229 data_time: 0.1436 memory: 26533 grad_norm: 0.7190 loss: 1.1427 caption_loss_cls: 2.5082 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.8114 detection_loss_cls: 0.0544 detection_loss_reg: 0.4437 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.6561 2023/10/22 11:55:11 - mmengine - INFO - Iter(train) [168700/320000] base_lr: 9.2555e-05 lr: 3.7673e-05 eta: 4 days, 10:02:15 time: 2.6258 data_time: 0.1436 memory: 26533 grad_norm: 0.7182 loss: 1.1404 caption_loss_cls: 2.5096 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.8099 detection_loss_cls: 0.0541 detection_loss_reg: 0.4421 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.6551 2023/10/22 11:59:29 - mmengine - INFO - Iter(train) [168800/320000] base_lr: 9.2459e-05 lr: 3.7635e-05 eta: 4 days, 9:59:34 time: 2.6235 data_time: 0.1435 memory: 26533 grad_norm: 0.7182 loss: 1.1355 caption_loss_cls: 2.5116 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.8090 detection_loss_cls: 0.0540 detection_loss_reg: 0.4414 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.6550 2023/10/22 12:03:12 - mmengine - INFO - Iter(train) [168900/320000] base_lr: 9.2362e-05 lr: 3.7597e-05 eta: 4 days, 9:47:49 time: 2.6145 data_time: 0.1434 memory: 25855 grad_norm: 0.7224 loss: 1.1322 caption_loss_cls: 2.5120 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.8086 detection_loss_cls: 0.0539 detection_loss_reg: 0.4402 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.6530 2023/10/22 12:07:25 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 12:07:25 - mmengine - INFO - Iter(train) [169000/320000] base_lr: 9.2265e-05 lr: 3.7559e-05 eta: 4 days, 9:43:44 time: 2.6196 data_time: 0.1436 memory: 26533 grad_norm: 0.7232 loss: 1.1374 caption_loss_cls: 2.5123 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.8101 detection_loss_cls: 0.0541 detection_loss_reg: 0.4412 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.6510 2023/10/22 12:07:25 - mmengine - INFO - Saving checkpoint at 169000 iterations 2023/10/22 12:12:52 - mmengine - INFO - Iter(train) [169100/320000] base_lr: 9.2168e-05 lr: 3.7521e-05 eta: 4 days, 9:58:12 time: 2.6257 data_time: 0.1443 memory: 25855 grad_norm: 0.7286 loss: 1.1447 caption_loss_cls: 2.5142 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.8104 detection_loss_cls: 0.0539 detection_loss_reg: 0.4407 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.6487 2023/10/22 12:17:24 - mmengine - INFO - Iter(train) [169200/320000] base_lr: 9.2071e-05 lr: 3.7483e-05 eta: 4 days, 9:58:48 time: 2.6337 data_time: 0.1444 memory: 26533 grad_norm: 0.7290 loss: 1.1421 caption_loss_cls: 2.5146 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.8121 detection_loss_cls: 0.0539 detection_loss_reg: 0.4396 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6484 2023/10/22 12:21:37 - mmengine - INFO - Iter(train) [169300/320000] base_lr: 9.1975e-05 lr: 3.7445e-05 eta: 4 days, 9:54:30 time: 2.6364 data_time: 0.1444 memory: 26533 grad_norm: 0.7321 loss: 1.1430 caption_loss_cls: 2.5105 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.8129 detection_loss_cls: 0.0540 detection_loss_reg: 0.4397 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6468 2023/10/22 12:26:18 - mmengine - INFO - Iter(train) [169400/320000] base_lr: 9.1878e-05 lr: 3.7406e-05 eta: 4 days, 9:57:09 time: 2.6515 data_time: 0.1450 memory: 25855 grad_norm: 0.7279 loss: 1.1505 caption_loss_cls: 2.5116 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.8145 detection_loss_cls: 0.0539 detection_loss_reg: 0.4385 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6456 2023/10/22 12:30:03 - mmengine - INFO - Iter(train) [169500/320000] base_lr: 9.1781e-05 lr: 3.7368e-05 eta: 4 days, 9:46:01 time: 2.6435 data_time: 0.1448 memory: 25855 grad_norm: 0.7319 loss: 1.1524 caption_loss_cls: 2.5080 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.8155 detection_loss_cls: 0.0540 detection_loss_reg: 0.4395 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6442 2023/10/22 12:30:03 - mmengine - INFO - Saving checkpoint at 169500 iterations 2023/10/22 12:35:26 - mmengine - INFO - Iter(train) [169600/320000] base_lr: 9.1684e-05 lr: 3.7330e-05 eta: 4 days, 9:58:24 time: 2.6492 data_time: 0.1448 memory: 25855 grad_norm: 0.7345 loss: 1.1483 caption_loss_cls: 2.5085 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3007 instance_segmentation_loss_poly: 0.8155 detection_loss_cls: 0.0539 detection_loss_reg: 0.4390 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6427 2023/10/22 12:39:39 - mmengine - INFO - Iter(train) [169700/320000] base_lr: 9.1587e-05 lr: 3.7292e-05 eta: 4 days, 9:54:05 time: 2.6509 data_time: 0.1448 memory: 25855 grad_norm: 0.7372 loss: 1.1445 caption_loss_cls: 2.5056 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.8147 detection_loss_cls: 0.0537 detection_loss_reg: 0.4381 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.6422 2023/10/22 12:44:13 - mmengine - INFO - Iter(train) [169800/320000] base_lr: 9.1491e-05 lr: 3.7254e-05 eta: 4 days, 9:54:33 time: 2.6513 data_time: 0.1446 memory: 25855 grad_norm: 0.7390 loss: 1.1500 caption_loss_cls: 2.5056 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.8144 detection_loss_cls: 0.0538 detection_loss_reg: 0.4376 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.6414 2023/10/22 12:48:50 - mmengine - INFO - Iter(train) [169900/320000] base_lr: 9.1394e-05 lr: 3.7216e-05 eta: 4 days, 9:55:39 time: 2.6555 data_time: 0.1445 memory: 26533 grad_norm: 0.7386 loss: 1.1479 caption_loss_cls: 2.5056 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.8144 detection_loss_cls: 0.0539 detection_loss_reg: 0.4379 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.6406 2023/10/22 12:52:35 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 12:52:35 - mmengine - INFO - Iter(train) [170000/320000] base_lr: 9.1297e-05 lr: 3.7178e-05 eta: 4 days, 9:44:49 time: 2.6598 data_time: 0.1445 memory: 25855 grad_norm: 0.7357 loss: 1.1443 caption_loss_cls: 2.5054 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3008 instance_segmentation_loss_poly: 0.8155 detection_loss_cls: 0.0537 detection_loss_reg: 0.4363 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.6397 2023/10/22 12:52:35 - mmengine - INFO - Saving checkpoint at 170000 iterations 2023/10/22 12:57:04 - mmengine - INFO - Iter(train) [170100/320000] base_lr: 9.1201e-05 lr: 3.7140e-05 eta: 4 days, 9:43:59 time: 2.6485 data_time: 0.1443 memory: 26533 grad_norm: 0.7393 loss: 1.1505 caption_loss_cls: 2.5068 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3014 instance_segmentation_loss_poly: 0.8170 detection_loss_cls: 0.0538 detection_loss_reg: 0.4371 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.6392 2023/10/22 13:00:55 - mmengine - INFO - Iter(train) [170200/320000] base_lr: 9.1104e-05 lr: 3.7102e-05 eta: 4 days, 9:34:32 time: 2.6469 data_time: 0.1443 memory: 26533 grad_norm: 0.7428 loss: 1.1514 caption_loss_cls: 2.5060 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_reg: 0.3014 instance_segmentation_loss_poly: 0.8169 detection_loss_cls: 0.0540 detection_loss_reg: 0.4381 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.6368 2023/10/22 13:04:40 - mmengine - INFO - Iter(train) [170300/320000] base_lr: 9.1007e-05 lr: 3.7063e-05 eta: 4 days, 9:24:08 time: 2.6402 data_time: 0.1442 memory: 25855 grad_norm: 0.7472 loss: 1.1492 caption_loss_cls: 2.5039 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3010 instance_segmentation_loss_poly: 0.8163 detection_loss_cls: 0.0542 detection_loss_reg: 0.4390 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.6346 2023/10/22 13:09:12 - mmengine - INFO - Iter(train) [170400/320000] base_lr: 9.0910e-05 lr: 3.7025e-05 eta: 4 days, 9:23:54 time: 2.6431 data_time: 0.1442 memory: 25855 grad_norm: 0.7438 loss: 1.1427 caption_loss_cls: 2.5025 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3006 instance_segmentation_loss_poly: 0.8154 detection_loss_cls: 0.0541 detection_loss_reg: 0.4381 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.6345 2023/10/22 13:13:00 - mmengine - INFO - Iter(train) [170500/320000] base_lr: 9.0814e-05 lr: 3.6987e-05 eta: 4 days, 9:14:05 time: 2.6402 data_time: 0.1442 memory: 26533 grad_norm: 0.7441 loss: 1.1405 caption_loss_cls: 2.5008 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.8148 detection_loss_cls: 0.0540 detection_loss_reg: 0.4373 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.6329 2023/10/22 13:13:00 - mmengine - INFO - Saving checkpoint at 170500 iterations 2023/10/22 13:18:34 - mmengine - INFO - Iter(train) [170600/320000] base_lr: 9.0717e-05 lr: 3.6949e-05 eta: 4 days, 9:27:07 time: 2.6436 data_time: 0.1447 memory: 26533 grad_norm: 0.7455 loss: 1.1361 caption_loss_cls: 2.5000 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3010 instance_segmentation_loss_poly: 0.8157 detection_loss_cls: 0.0540 detection_loss_reg: 0.4375 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.6315 2023/10/22 13:23:06 - mmengine - INFO - Iter(train) [170700/320000] base_lr: 9.0620e-05 lr: 3.6911e-05 eta: 4 days, 9:26:45 time: 2.6512 data_time: 0.1449 memory: 26533 grad_norm: 0.7444 loss: 1.1369 caption_loss_cls: 2.4997 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_reg: 0.3012 instance_segmentation_loss_poly: 0.8166 detection_loss_cls: 0.0542 detection_loss_reg: 0.4388 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6307 2023/10/22 13:27:07 - mmengine - INFO - Iter(train) [170800/320000] base_lr: 9.0524e-05 lr: 3.6873e-05 eta: 4 days, 9:19:45 time: 2.6417 data_time: 0.1448 memory: 25855 grad_norm: 0.7512 loss: 1.1437 caption_loss_cls: 2.4978 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.8144 detection_loss_cls: 0.0542 detection_loss_reg: 0.4384 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6297 2023/10/22 13:31:39 - mmengine - INFO - Iter(train) [170900/320000] base_lr: 9.0427e-05 lr: 3.6835e-05 eta: 4 days, 9:19:03 time: 2.6523 data_time: 0.1449 memory: 26533 grad_norm: 0.7466 loss: 1.1444 caption_loss_cls: 2.4992 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.8124 detection_loss_cls: 0.0543 detection_loss_reg: 0.4394 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6274 2023/10/22 13:35:55 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 13:35:55 - mmengine - INFO - Iter(train) [171000/320000] base_lr: 9.0331e-05 lr: 3.6797e-05 eta: 4 days, 9:15:20 time: 2.6576 data_time: 0.1452 memory: 26533 grad_norm: 0.7486 loss: 1.1459 caption_loss_cls: 2.4971 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.8146 detection_loss_cls: 0.0541 detection_loss_reg: 0.4385 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6266 2023/10/22 13:35:55 - mmengine - INFO - Saving checkpoint at 171000 iterations 2023/10/22 13:41:06 - mmengine - INFO - Iter(train) [171100/320000] base_lr: 9.0234e-05 lr: 3.6759e-05 eta: 4 days, 9:22:43 time: 2.6557 data_time: 0.1459 memory: 26533 grad_norm: 0.7538 loss: 1.1526 caption_loss_cls: 2.4981 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.8152 detection_loss_cls: 0.0540 detection_loss_reg: 0.4375 semantic_segmentation_loss_cls: 0.0141 grounding_loss_reg: 3.6252 2023/10/22 13:45:08 - mmengine - INFO - Iter(train) [171200/320000] base_lr: 9.0137e-05 lr: 3.6721e-05 eta: 4 days, 9:15:48 time: 2.6434 data_time: 0.1458 memory: 26533 grad_norm: 0.7602 loss: 1.1580 caption_loss_cls: 2.4956 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.8142 detection_loss_cls: 0.0541 detection_loss_reg: 0.4372 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6236 2023/10/22 13:50:40 - mmengine - INFO - Iter(train) [171300/320000] base_lr: 9.0041e-05 lr: 3.6683e-05 eta: 4 days, 9:27:04 time: 2.6628 data_time: 0.1467 memory: 26533 grad_norm: 0.7631 loss: 1.1599 caption_loss_cls: 2.4934 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.8140 detection_loss_cls: 0.0540 detection_loss_reg: 0.4371 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6235 2023/10/22 13:54:56 - mmengine - INFO - Iter(train) [171400/320000] base_lr: 8.9944e-05 lr: 3.6645e-05 eta: 4 days, 9:23:00 time: 2.6546 data_time: 0.1471 memory: 26533 grad_norm: 0.7646 loss: 1.1590 caption_loss_cls: 2.4932 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.8139 detection_loss_cls: 0.0540 detection_loss_reg: 0.4370 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6226 2023/10/22 13:58:57 - mmengine - INFO - Iter(train) [171500/320000] base_lr: 8.9847e-05 lr: 3.6607e-05 eta: 4 days, 9:15:55 time: 2.6440 data_time: 0.1457 memory: 26533 grad_norm: 0.7650 loss: 1.1621 caption_loss_cls: 2.4951 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.8143 detection_loss_cls: 0.0540 detection_loss_reg: 0.4361 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6214 2023/10/22 13:58:57 - mmengine - INFO - Saving checkpoint at 171500 iterations 2023/10/22 14:03:36 - mmengine - INFO - Iter(train) [171600/320000] base_lr: 8.9751e-05 lr: 3.6569e-05 eta: 4 days, 9:16:16 time: 2.6404 data_time: 0.1459 memory: 25855 grad_norm: 0.7681 loss: 1.1686 caption_loss_cls: 2.4988 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.8141 detection_loss_cls: 0.0538 detection_loss_reg: 0.4363 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6205 2023/10/22 14:07:42 - mmengine - INFO - Iter(train) [171700/320000] base_lr: 8.9654e-05 lr: 3.6531e-05 eta: 4 days, 9:10:13 time: 2.6383 data_time: 0.1458 memory: 26533 grad_norm: 0.7655 loss: 1.1648 caption_loss_cls: 2.4992 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.8129 detection_loss_cls: 0.0541 detection_loss_reg: 0.4375 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6215 2023/10/22 14:11:30 - mmengine - INFO - Iter(train) [171800/320000] base_lr: 8.9558e-05 lr: 3.6492e-05 eta: 4 days, 9:00:38 time: 2.6313 data_time: 0.1457 memory: 26533 grad_norm: 0.7636 loss: 1.1625 caption_loss_cls: 2.4987 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8119 detection_loss_cls: 0.0539 detection_loss_reg: 0.4365 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6198 2023/10/22 14:15:29 - mmengine - INFO - Iter(train) [171900/320000] base_lr: 8.9461e-05 lr: 3.6454e-05 eta: 4 days, 8:53:26 time: 2.6288 data_time: 0.1458 memory: 26533 grad_norm: 0.7680 loss: 1.1661 caption_loss_cls: 2.4986 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.8112 detection_loss_cls: 0.0539 detection_loss_reg: 0.4370 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6192 2023/10/22 14:19:39 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 14:19:39 - mmengine - INFO - Iter(train) [172000/320000] base_lr: 8.9365e-05 lr: 3.6416e-05 eta: 4 days, 8:48:11 time: 2.6339 data_time: 0.1459 memory: 26533 grad_norm: 0.7650 loss: 1.1610 caption_loss_cls: 2.5017 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.8117 detection_loss_cls: 0.0540 detection_loss_reg: 0.4375 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6197 2023/10/22 14:19:39 - mmengine - INFO - Saving checkpoint at 172000 iterations 2023/10/22 14:24:58 - mmengine - INFO - Iter(train) [172100/320000] base_lr: 8.9268e-05 lr: 3.6378e-05 eta: 4 days, 8:56:01 time: 2.6443 data_time: 0.1467 memory: 25855 grad_norm: 0.7625 loss: 1.1616 caption_loss_cls: 2.5023 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.8107 detection_loss_cls: 0.0539 detection_loss_reg: 0.4371 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6191 2023/10/22 14:29:11 - mmengine - INFO - Iter(train) [172200/320000] base_lr: 8.9172e-05 lr: 3.6340e-05 eta: 4 days, 8:51:12 time: 2.6367 data_time: 0.1465 memory: 25855 grad_norm: 0.7704 loss: 1.1704 caption_loss_cls: 2.5014 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.8111 detection_loss_cls: 0.0539 detection_loss_reg: 0.4379 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6183 2023/10/22 14:32:52 - mmengine - INFO - Iter(train) [172300/320000] base_lr: 8.9075e-05 lr: 3.6302e-05 eta: 4 days, 8:40:41 time: 2.6275 data_time: 0.1463 memory: 25855 grad_norm: 0.7746 loss: 1.1729 caption_loss_cls: 2.4987 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.8105 detection_loss_cls: 0.0540 detection_loss_reg: 0.4389 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6184 2023/10/22 14:37:16 - mmengine - INFO - Iter(train) [172400/320000] base_lr: 8.8979e-05 lr: 3.6264e-05 eta: 4 days, 8:37:54 time: 2.6303 data_time: 0.1463 memory: 26533 grad_norm: 0.7764 loss: 1.1761 caption_loss_cls: 2.4993 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.8094 detection_loss_cls: 0.0540 detection_loss_reg: 0.4391 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6168 2023/10/22 14:41:16 - mmengine - INFO - Iter(train) [172500/320000] base_lr: 8.8882e-05 lr: 3.6226e-05 eta: 4 days, 8:30:59 time: 2.6231 data_time: 0.1462 memory: 26533 grad_norm: 0.7783 loss: 1.1771 caption_loss_cls: 2.4991 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.8086 detection_loss_cls: 0.0539 detection_loss_reg: 0.4384 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6155 2023/10/22 14:41:16 - mmengine - INFO - Saving checkpoint at 172500 iterations 2023/10/22 14:46:33 - mmengine - INFO - Iter(train) [172600/320000] base_lr: 8.8786e-05 lr: 3.6188e-05 eta: 4 days, 8:37:57 time: 2.6327 data_time: 0.1458 memory: 26533 grad_norm: 0.7773 loss: 1.1747 caption_loss_cls: 2.4972 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.8079 detection_loss_cls: 0.0538 detection_loss_reg: 0.4376 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6139 2023/10/22 14:50:35 - mmengine - INFO - Iter(train) [172700/320000] base_lr: 8.8689e-05 lr: 3.6150e-05 eta: 4 days, 8:31:10 time: 2.6306 data_time: 0.1458 memory: 26533 grad_norm: 0.7787 loss: 1.1722 caption_loss_cls: 2.4949 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.8069 detection_loss_cls: 0.0538 detection_loss_reg: 0.4379 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6129 2023/10/22 14:54:47 - mmengine - INFO - Iter(train) [172800/320000] base_lr: 8.8593e-05 lr: 3.6112e-05 eta: 4 days, 8:26:22 time: 2.6292 data_time: 0.1457 memory: 25855 grad_norm: 0.7784 loss: 1.1695 caption_loss_cls: 2.4928 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.8051 detection_loss_cls: 0.0539 detection_loss_reg: 0.4382 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6124 2023/10/22 14:59:36 - mmengine - INFO - Iter(train) [172900/320000] base_lr: 8.8497e-05 lr: 3.6074e-05 eta: 4 days, 8:28:02 time: 2.6457 data_time: 0.1459 memory: 25855 grad_norm: 0.7740 loss: 1.1729 caption_loss_cls: 2.4939 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.8055 detection_loss_cls: 0.0540 detection_loss_reg: 0.4392 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6109 2023/10/22 15:04:04 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 15:04:04 - mmengine - INFO - Iter(train) [173000/320000] base_lr: 8.8400e-05 lr: 3.6036e-05 eta: 4 days, 8:25:50 time: 2.6495 data_time: 0.1459 memory: 26533 grad_norm: 0.7729 loss: 1.1697 caption_loss_cls: 2.4946 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.8059 detection_loss_cls: 0.0540 detection_loss_reg: 0.4400 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6100 2023/10/22 15:04:04 - mmengine - INFO - Saving checkpoint at 173000 iterations 2023/10/22 15:08:34 - mmengine - INFO - Iter(train) [173100/320000] base_lr: 8.8304e-05 lr: 3.5998e-05 eta: 4 days, 8:24:01 time: 2.6352 data_time: 0.1457 memory: 26533 grad_norm: 0.7729 loss: 1.1659 caption_loss_cls: 2.4914 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.8038 detection_loss_cls: 0.0541 detection_loss_reg: 0.4404 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6093 2023/10/22 15:13:40 - mmengine - INFO - Iter(train) [173200/320000] base_lr: 8.8207e-05 lr: 3.5960e-05 eta: 4 days, 8:28:27 time: 2.6437 data_time: 0.1491 memory: 25855 grad_norm: 0.7745 loss: 1.1696 caption_loss_cls: 2.4906 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.8033 detection_loss_cls: 0.0541 detection_loss_reg: 0.4399 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6069 2023/10/22 15:17:39 - mmengine - INFO - Iter(train) [173300/320000] base_lr: 8.8111e-05 lr: 3.5923e-05 eta: 4 days, 8:21:17 time: 2.6403 data_time: 0.1508 memory: 25855 grad_norm: 0.7713 loss: 1.1664 caption_loss_cls: 2.4912 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.8033 detection_loss_cls: 0.0542 detection_loss_reg: 0.4397 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6062 2023/10/22 15:22:25 - mmengine - INFO - Iter(train) [173400/320000] base_lr: 8.8015e-05 lr: 3.5885e-05 eta: 4 days, 8:21:57 time: 2.6412 data_time: 0.1509 memory: 26533 grad_norm: 0.7662 loss: 1.1611 caption_loss_cls: 2.4951 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.8038 detection_loss_cls: 0.0543 detection_loss_reg: 0.4395 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6048 2023/10/22 15:25:57 - mmengine - INFO - Iter(train) [173500/320000] base_lr: 8.7918e-05 lr: 3.5847e-05 eta: 4 days, 8:10:16 time: 2.6382 data_time: 0.1510 memory: 25855 grad_norm: 0.7637 loss: 1.1574 caption_loss_cls: 2.4927 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.8039 detection_loss_cls: 0.0544 detection_loss_reg: 0.4396 semantic_segmentation_loss_cls: 0.0140 grounding_loss_reg: 3.6034 2023/10/22 15:25:57 - mmengine - INFO - Saving checkpoint at 173500 iterations 2023/10/22 15:30:37 - mmengine - INFO - Iter(train) [173600/320000] base_lr: 8.7822e-05 lr: 3.5809e-05 eta: 4 days, 8:10:01 time: 2.6274 data_time: 0.1507 memory: 26533 grad_norm: 0.7719 loss: 1.1602 caption_loss_cls: 2.4928 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.8034 detection_loss_cls: 0.0544 detection_loss_reg: 0.4395 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6028 2023/10/22 15:34:44 - mmengine - INFO - Iter(train) [173700/320000] base_lr: 8.7726e-05 lr: 3.5771e-05 eta: 4 days, 8:04:18 time: 2.6260 data_time: 0.1507 memory: 26533 grad_norm: 0.7747 loss: 1.1664 caption_loss_cls: 2.4902 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.8025 detection_loss_cls: 0.0543 detection_loss_reg: 0.4401 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6011 2023/10/22 15:38:54 - mmengine - INFO - Iter(train) [173800/320000] base_lr: 8.7629e-05 lr: 3.5733e-05 eta: 4 days, 7:58:54 time: 2.6198 data_time: 0.1507 memory: 26533 grad_norm: 0.7752 loss: 1.1664 caption_loss_cls: 2.4921 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.8026 detection_loss_cls: 0.0543 detection_loss_reg: 0.4400 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.6006 2023/10/22 15:43:13 - mmengine - INFO - Iter(train) [173900/320000] base_lr: 8.7533e-05 lr: 3.5695e-05 eta: 4 days, 7:55:09 time: 2.6153 data_time: 0.1507 memory: 26533 grad_norm: 0.7859 loss: 1.1709 caption_loss_cls: 2.4922 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.8030 detection_loss_cls: 0.0542 detection_loss_reg: 0.4403 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.5994 2023/10/22 15:47:53 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 15:47:53 - mmengine - INFO - Iter(train) [174000/320000] base_lr: 8.7437e-05 lr: 3.5657e-05 eta: 4 days, 7:54:49 time: 2.6292 data_time: 0.1509 memory: 25855 grad_norm: 0.7799 loss: 1.1630 caption_loss_cls: 2.4896 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.8026 detection_loss_cls: 0.0542 detection_loss_reg: 0.4410 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.5993 2023/10/22 15:47:53 - mmengine - INFO - Saving checkpoint at 174000 iterations 2023/10/22 15:53:06 - mmengine - INFO - Iter(train) [174100/320000] base_lr: 8.7340e-05 lr: 3.5619e-05 eta: 4 days, 7:59:35 time: 2.6400 data_time: 0.1508 memory: 25855 grad_norm: 0.7720 loss: 1.1514 caption_loss_cls: 2.4887 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.8024 detection_loss_cls: 0.0543 detection_loss_reg: 0.4415 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.5991 2023/10/22 15:57:03 - mmengine - INFO - Iter(train) [174200/320000] base_lr: 8.7244e-05 lr: 3.5581e-05 eta: 4 days, 7:52:15 time: 2.6418 data_time: 0.1508 memory: 26533 grad_norm: 0.7774 loss: 1.1520 caption_loss_cls: 2.4898 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.8025 detection_loss_cls: 0.0544 detection_loss_reg: 0.4420 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.5983 2023/10/22 16:01:32 - mmengine - INFO - Iter(train) [174300/320000] base_lr: 8.7148e-05 lr: 3.5543e-05 eta: 4 days, 7:49:57 time: 2.6525 data_time: 0.1506 memory: 26533 grad_norm: 0.7718 loss: 1.1472 caption_loss_cls: 2.4890 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2942 instance_segmentation_loss_poly: 0.8024 detection_loss_cls: 0.0546 detection_loss_reg: 0.4421 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.5975 2023/10/22 16:05:44 - mmengine - INFO - Iter(train) [174400/320000] base_lr: 8.7052e-05 lr: 3.5505e-05 eta: 4 days, 7:44:58 time: 2.6476 data_time: 0.1506 memory: 26533 grad_norm: 0.7743 loss: 1.1496 caption_loss_cls: 2.4896 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.8020 detection_loss_cls: 0.0546 detection_loss_reg: 0.4419 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.5966 2023/10/22 16:09:55 - mmengine - INFO - Iter(train) [174500/320000] base_lr: 8.6956e-05 lr: 3.5467e-05 eta: 4 days, 7:39:48 time: 2.6534 data_time: 0.1507 memory: 26533 grad_norm: 0.7744 loss: 1.1539 caption_loss_cls: 2.4900 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.8030 detection_loss_cls: 0.0547 detection_loss_reg: 0.4425 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.5958 2023/10/22 16:09:55 - mmengine - INFO - Saving checkpoint at 174500 iterations 2023/10/22 16:14:30 - mmengine - INFO - Iter(train) [174600/320000] base_lr: 8.6859e-05 lr: 3.5429e-05 eta: 4 days, 7:38:23 time: 2.6386 data_time: 0.1499 memory: 25855 grad_norm: 0.7772 loss: 1.1561 caption_loss_cls: 2.4880 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.8030 detection_loss_cls: 0.0547 detection_loss_reg: 0.4435 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5950 2023/10/22 16:18:42 - mmengine - INFO - Iter(train) [174700/320000] base_lr: 8.6763e-05 lr: 3.5392e-05 eta: 4 days, 7:33:21 time: 2.6335 data_time: 0.1499 memory: 26533 grad_norm: 0.7816 loss: 1.1616 caption_loss_cls: 2.4881 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.8030 detection_loss_cls: 0.0545 detection_loss_reg: 0.4425 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5943 2023/10/22 16:23:06 - mmengine - INFO - Iter(train) [174800/320000] base_lr: 8.6667e-05 lr: 3.5354e-05 eta: 4 days, 7:30:12 time: 2.6392 data_time: 0.1501 memory: 26533 grad_norm: 0.7837 loss: 1.1628 caption_loss_cls: 2.4878 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.8018 detection_loss_cls: 0.0543 detection_loss_reg: 0.4424 semantic_segmentation_loss_cls: 0.0139 grounding_loss_reg: 3.5923 2023/10/22 16:27:28 - mmengine - INFO - Iter(train) [174900/320000] base_lr: 8.6571e-05 lr: 3.5316e-05 eta: 4 days, 7:26:51 time: 2.6371 data_time: 0.1507 memory: 25855 grad_norm: 0.7819 loss: 1.1606 caption_loss_cls: 2.4870 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.8028 detection_loss_cls: 0.0545 detection_loss_reg: 0.4431 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5915 2023/10/22 16:31:27 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 16:31:27 - mmengine - INFO - Iter(train) [175000/320000] base_lr: 8.6475e-05 lr: 3.5278e-05 eta: 4 days, 7:19:46 time: 2.6324 data_time: 0.1505 memory: 25855 grad_norm: 0.7811 loss: 1.1601 caption_loss_cls: 2.4878 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.8032 detection_loss_cls: 0.0544 detection_loss_reg: 0.4431 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5912 2023/10/22 16:31:27 - mmengine - INFO - Saving checkpoint at 175000 iterations 2023/10/22 16:36:57 - mmengine - INFO - Iter(train) [175100/320000] base_lr: 8.6379e-05 lr: 3.5240e-05 eta: 4 days, 7:26:34 time: 2.6373 data_time: 0.1517 memory: 26533 grad_norm: 0.7824 loss: 1.1554 caption_loss_cls: 2.4850 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.8032 detection_loss_cls: 0.0543 detection_loss_reg: 0.4432 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5890 2023/10/22 16:41:28 - mmengine - INFO - Iter(train) [175200/320000] base_lr: 8.6282e-05 lr: 3.5202e-05 eta: 4 days, 7:24:20 time: 2.6445 data_time: 0.1518 memory: 26533 grad_norm: 0.7789 loss: 1.1503 caption_loss_cls: 2.4840 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.8029 detection_loss_cls: 0.0545 detection_loss_reg: 0.4446 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5875 2023/10/22 16:45:47 - mmengine - INFO - Iter(train) [175300/320000] base_lr: 8.6186e-05 lr: 3.5164e-05 eta: 4 days, 7:20:24 time: 2.6265 data_time: 0.1513 memory: 25855 grad_norm: 0.7837 loss: 1.1566 caption_loss_cls: 2.4810 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.8030 detection_loss_cls: 0.0545 detection_loss_reg: 0.4450 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5860 2023/10/22 16:49:56 - mmengine - INFO - Iter(train) [175400/320000] base_lr: 8.6090e-05 lr: 3.5126e-05 eta: 4 days, 7:14:54 time: 2.6246 data_time: 0.1509 memory: 26533 grad_norm: 0.7881 loss: 1.1580 caption_loss_cls: 2.4785 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.8036 detection_loss_cls: 0.0545 detection_loss_reg: 0.4449 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5847 2023/10/22 16:53:44 - mmengine - INFO - Iter(train) [175500/320000] base_lr: 8.5994e-05 lr: 3.5089e-05 eta: 4 days, 7:06:24 time: 2.6214 data_time: 0.1505 memory: 25855 grad_norm: 0.7873 loss: 1.1558 caption_loss_cls: 2.4810 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.8029 detection_loss_cls: 0.0542 detection_loss_reg: 0.4444 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5832 2023/10/22 16:53:44 - mmengine - INFO - Saving checkpoint at 175500 iterations 2023/10/22 16:58:51 - mmengine - INFO - Iter(train) [175600/320000] base_lr: 8.5898e-05 lr: 3.5051e-05 eta: 4 days, 7:09:22 time: 2.6285 data_time: 0.1502 memory: 26533 grad_norm: 0.7825 loss: 1.1468 caption_loss_cls: 2.4795 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.8039 detection_loss_cls: 0.0542 detection_loss_reg: 0.4436 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5822 2023/10/22 17:02:39 - mmengine - INFO - Iter(train) [175700/320000] base_lr: 8.5802e-05 lr: 3.5013e-05 eta: 4 days, 7:00:51 time: 2.6239 data_time: 0.1501 memory: 26533 grad_norm: 0.7870 loss: 1.1500 caption_loss_cls: 2.4776 instance_segmentation_loss_cls: 0.0374 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.8034 detection_loss_cls: 0.0544 detection_loss_reg: 0.4444 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5820 2023/10/22 17:06:38 - mmengine - INFO - Iter(train) [175800/320000] base_lr: 8.5706e-05 lr: 3.4975e-05 eta: 4 days, 6:53:56 time: 2.6266 data_time: 0.1502 memory: 25855 grad_norm: 0.7862 loss: 1.1454 caption_loss_cls: 2.4765 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.8035 detection_loss_cls: 0.0543 detection_loss_reg: 0.4449 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5813 2023/10/22 17:11:19 - mmengine - INFO - Iter(train) [175900/320000] base_lr: 8.5610e-05 lr: 3.4937e-05 eta: 4 days, 6:53:02 time: 2.6369 data_time: 0.1506 memory: 26533 grad_norm: 0.7867 loss: 1.1419 caption_loss_cls: 2.4756 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.8026 detection_loss_cls: 0.0543 detection_loss_reg: 0.4435 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5796 2023/10/22 17:15:23 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 17:15:23 - mmengine - INFO - Iter(train) [176000/320000] base_lr: 8.5514e-05 lr: 3.4899e-05 eta: 4 days, 6:46:55 time: 2.6355 data_time: 0.1506 memory: 25855 grad_norm: 0.7873 loss: 1.1468 caption_loss_cls: 2.4759 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.8033 detection_loss_cls: 0.0547 detection_loss_reg: 0.4446 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5779 2023/10/22 17:15:23 - mmengine - INFO - Saving checkpoint at 176000 iterations 2023/10/22 17:20:32 - mmengine - INFO - Iter(train) [176100/320000] base_lr: 8.5418e-05 lr: 3.4862e-05 eta: 4 days, 6:49:58 time: 2.6330 data_time: 0.1494 memory: 26533 grad_norm: 0.7831 loss: 1.1397 caption_loss_cls: 2.4756 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.8028 detection_loss_cls: 0.0549 detection_loss_reg: 0.4456 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5773 2023/10/22 17:24:26 - mmengine - INFO - Iter(train) [176200/320000] base_lr: 8.5322e-05 lr: 3.4824e-05 eta: 4 days, 6:42:27 time: 2.6284 data_time: 0.1495 memory: 25855 grad_norm: 0.7784 loss: 1.1366 caption_loss_cls: 2.4774 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.8028 detection_loss_cls: 0.0549 detection_loss_reg: 0.4461 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5766 2023/10/22 17:28:42 - mmengine - INFO - Iter(train) [176300/320000] base_lr: 8.5226e-05 lr: 3.4786e-05 eta: 4 days, 6:38:03 time: 2.6371 data_time: 0.1496 memory: 26533 grad_norm: 0.7707 loss: 1.1332 caption_loss_cls: 2.4781 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.8034 detection_loss_cls: 0.0549 detection_loss_reg: 0.4463 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5768 2023/10/22 17:32:41 - mmengine - INFO - Iter(train) [176400/320000] base_lr: 8.5130e-05 lr: 3.4748e-05 eta: 4 days, 6:31:16 time: 2.6311 data_time: 0.1497 memory: 26533 grad_norm: 0.7709 loss: 1.1327 caption_loss_cls: 2.4772 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.8043 detection_loss_cls: 0.0549 detection_loss_reg: 0.4462 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5760 2023/10/22 17:37:20 - mmengine - INFO - Iter(train) [176500/320000] base_lr: 8.5034e-05 lr: 3.4710e-05 eta: 4 days, 6:29:58 time: 2.6406 data_time: 0.1499 memory: 26533 grad_norm: 0.7663 loss: 1.1289 caption_loss_cls: 2.4757 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.8050 detection_loss_cls: 0.0549 detection_loss_reg: 0.4459 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5758 2023/10/22 17:37:20 - mmengine - INFO - Saving checkpoint at 176500 iterations 2023/10/22 17:42:37 - mmengine - INFO - Iter(train) [176600/320000] base_lr: 8.4938e-05 lr: 3.4673e-05 eta: 4 days, 6:33:46 time: 2.6405 data_time: 0.1503 memory: 26533 grad_norm: 0.7671 loss: 1.1297 caption_loss_cls: 2.4746 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.8030 detection_loss_cls: 0.0549 detection_loss_reg: 0.4464 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5745 2023/10/22 17:46:48 - mmengine - INFO - Iter(train) [176700/320000] base_lr: 8.4842e-05 lr: 3.4635e-05 eta: 4 days, 6:28:34 time: 2.6428 data_time: 0.1502 memory: 25855 grad_norm: 0.7633 loss: 1.1321 caption_loss_cls: 2.4734 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.8041 detection_loss_cls: 0.0549 detection_loss_reg: 0.4468 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5745 2023/10/22 17:51:03 - mmengine - INFO - Iter(train) [176800/320000] base_lr: 8.4746e-05 lr: 3.4597e-05 eta: 4 days, 6:23:57 time: 2.6435 data_time: 0.1503 memory: 26533 grad_norm: 0.7641 loss: 1.1327 caption_loss_cls: 2.4737 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.8040 detection_loss_cls: 0.0550 detection_loss_reg: 0.4480 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5722 2023/10/22 17:54:48 - mmengine - INFO - Iter(train) [176900/320000] base_lr: 8.4651e-05 lr: 3.4559e-05 eta: 4 days, 6:15:23 time: 2.6276 data_time: 0.1501 memory: 25855 grad_norm: 0.7662 loss: 1.1351 caption_loss_cls: 2.4725 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2962 instance_segmentation_loss_poly: 0.8036 detection_loss_cls: 0.0550 detection_loss_reg: 0.4479 semantic_segmentation_loss_cls: 0.0138 grounding_loss_reg: 3.5710 2023/10/22 17:58:33 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 17:58:33 - mmengine - INFO - Iter(train) [177000/320000] base_lr: 8.4555e-05 lr: 3.4522e-05 eta: 4 days, 6:06:47 time: 2.6169 data_time: 0.1501 memory: 26533 grad_norm: 0.7689 loss: 1.1360 caption_loss_cls: 2.4711 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.8024 detection_loss_cls: 0.0549 detection_loss_reg: 0.4481 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5687 2023/10/22 17:58:33 - mmengine - INFO - Saving checkpoint at 177000 iterations 2023/10/22 18:03:47 - mmengine - INFO - Iter(train) [177100/320000] base_lr: 8.4459e-05 lr: 3.4484e-05 eta: 4 days, 6:10:01 time: 2.6279 data_time: 0.1497 memory: 26533 grad_norm: 0.7654 loss: 1.1353 caption_loss_cls: 2.4705 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.8028 detection_loss_cls: 0.0549 detection_loss_reg: 0.4478 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5693 2023/10/22 18:07:48 - mmengine - INFO - Iter(train) [177200/320000] base_lr: 8.4363e-05 lr: 3.4446e-05 eta: 4 days, 6:03:34 time: 2.6116 data_time: 0.1462 memory: 25855 grad_norm: 0.7612 loss: 1.1306 caption_loss_cls: 2.4681 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.8021 detection_loss_cls: 0.0548 detection_loss_reg: 0.4475 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5682 2023/10/22 18:12:26 - mmengine - INFO - Iter(train) [177300/320000] base_lr: 8.4267e-05 lr: 3.4408e-05 eta: 4 days, 6:01:55 time: 2.6212 data_time: 0.1449 memory: 26533 grad_norm: 0.7596 loss: 1.1283 caption_loss_cls: 2.4677 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.8013 detection_loss_cls: 0.0549 detection_loss_reg: 0.4479 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5663 2023/10/22 18:16:13 - mmengine - INFO - Iter(train) [177400/320000] base_lr: 8.4172e-05 lr: 3.4371e-05 eta: 4 days, 5:53:46 time: 2.6068 data_time: 0.1443 memory: 25855 grad_norm: 0.7618 loss: 1.1258 caption_loss_cls: 2.4655 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.8017 detection_loss_cls: 0.0551 detection_loss_reg: 0.4482 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5651 2023/10/22 18:20:22 - mmengine - INFO - Iter(train) [177500/320000] base_lr: 8.4076e-05 lr: 3.4333e-05 eta: 4 days, 5:48:21 time: 2.6158 data_time: 0.1444 memory: 25855 grad_norm: 0.7612 loss: 1.1284 caption_loss_cls: 2.4643 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.8027 detection_loss_cls: 0.0553 detection_loss_reg: 0.4493 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5638 2023/10/22 18:20:22 - mmengine - INFO - Saving checkpoint at 177500 iterations 2023/10/22 18:25:44 - mmengine - INFO - Iter(train) [177600/320000] base_lr: 8.3980e-05 lr: 3.4295e-05 eta: 4 days, 5:52:20 time: 2.6263 data_time: 0.1444 memory: 26533 grad_norm: 0.7524 loss: 1.1283 caption_loss_cls: 2.4632 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.8023 detection_loss_cls: 0.0553 detection_loss_reg: 0.4499 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5634 2023/10/22 18:29:57 - mmengine - INFO - Iter(train) [177700/320000] base_lr: 8.3884e-05 lr: 3.4257e-05 eta: 4 days, 5:47:26 time: 2.6276 data_time: 0.1444 memory: 25855 grad_norm: 0.7487 loss: 1.1265 caption_loss_cls: 2.4629 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.8014 detection_loss_cls: 0.0553 detection_loss_reg: 0.4490 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5634 2023/10/22 18:34:31 - mmengine - INFO - Iter(train) [177800/320000] base_lr: 8.3789e-05 lr: 3.4220e-05 eta: 4 days, 5:45:20 time: 2.6340 data_time: 0.1471 memory: 25855 grad_norm: 0.7486 loss: 1.1292 caption_loss_cls: 2.4637 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.8007 detection_loss_cls: 0.0552 detection_loss_reg: 0.4487 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5631 2023/10/22 18:38:06 - mmengine - INFO - Iter(train) [177900/320000] base_lr: 8.3693e-05 lr: 3.4182e-05 eta: 4 days, 5:35:41 time: 2.6230 data_time: 0.1469 memory: 26533 grad_norm: 0.7486 loss: 1.1329 caption_loss_cls: 2.4631 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7998 detection_loss_cls: 0.0551 detection_loss_reg: 0.4487 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5609 2023/10/22 18:42:26 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 18:42:26 - mmengine - INFO - Iter(train) [178000/320000] base_lr: 8.3597e-05 lr: 3.4144e-05 eta: 4 days, 5:31:39 time: 2.6177 data_time: 0.1467 memory: 26533 grad_norm: 0.7493 loss: 1.1325 caption_loss_cls: 2.4576 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7999 detection_loss_cls: 0.0550 detection_loss_reg: 0.4486 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5602 2023/10/22 18:42:26 - mmengine - INFO - Saving checkpoint at 178000 iterations 2023/10/22 18:47:23 - mmengine - INFO - Iter(train) [178100/320000] base_lr: 8.3501e-05 lr: 3.4107e-05 eta: 4 days, 5:32:20 time: 2.6141 data_time: 0.1470 memory: 26533 grad_norm: 0.7499 loss: 1.1320 caption_loss_cls: 2.4573 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.8009 detection_loss_cls: 0.0550 detection_loss_reg: 0.4482 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5594 2023/10/22 18:51:12 - mmengine - INFO - Iter(train) [178200/320000] base_lr: 8.3406e-05 lr: 3.4069e-05 eta: 4 days, 5:24:27 time: 2.6118 data_time: 0.1469 memory: 26533 grad_norm: 0.7494 loss: 1.1332 caption_loss_cls: 2.4560 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.8008 detection_loss_cls: 0.0550 detection_loss_reg: 0.4480 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5576 2023/10/22 18:55:06 - mmengine - INFO - Iter(train) [178300/320000] base_lr: 8.3310e-05 lr: 3.4031e-05 eta: 4 days, 5:17:20 time: 2.6032 data_time: 0.1470 memory: 26533 grad_norm: 0.7531 loss: 1.1400 caption_loss_cls: 2.4560 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.8017 detection_loss_cls: 0.0550 detection_loss_reg: 0.4477 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5558 2023/10/22 18:59:25 - mmengine - INFO - Iter(train) [178400/320000] base_lr: 8.3215e-05 lr: 3.3994e-05 eta: 4 days, 5:13:13 time: 2.6048 data_time: 0.1471 memory: 25855 grad_norm: 0.7551 loss: 1.1414 caption_loss_cls: 2.4581 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.8017 detection_loss_cls: 0.0551 detection_loss_reg: 0.4481 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5545 2023/10/22 19:03:38 - mmengine - INFO - Iter(train) [178500/320000] base_lr: 8.3119e-05 lr: 3.3956e-05 eta: 4 days, 5:08:26 time: 2.6055 data_time: 0.1471 memory: 25855 grad_norm: 0.7549 loss: 1.1420 caption_loss_cls: 2.4590 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.8010 detection_loss_cls: 0.0551 detection_loss_reg: 0.4484 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5532 2023/10/22 19:03:38 - mmengine - INFO - Saving checkpoint at 178500 iterations 2023/10/22 19:08:34 - mmengine - INFO - Iter(train) [178600/320000] base_lr: 8.3023e-05 lr: 3.3918e-05 eta: 4 days, 5:08:44 time: 2.6106 data_time: 0.1472 memory: 26533 grad_norm: 0.7558 loss: 1.1434 caption_loss_cls: 2.4587 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.8018 detection_loss_cls: 0.0550 detection_loss_reg: 0.4478 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5509 2023/10/22 19:12:42 - mmengine - INFO - Iter(train) [178700/320000] base_lr: 8.2928e-05 lr: 3.3881e-05 eta: 4 days, 5:03:16 time: 2.6096 data_time: 0.1469 memory: 25855 grad_norm: 0.7537 loss: 1.1359 caption_loss_cls: 2.4562 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.8010 detection_loss_cls: 0.0550 detection_loss_reg: 0.4483 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5490 2023/10/22 19:17:06 - mmengine - INFO - Iter(train) [178800/320000] base_lr: 8.2832e-05 lr: 3.3843e-05 eta: 4 days, 4:59:48 time: 2.6097 data_time: 0.1471 memory: 25855 grad_norm: 0.7528 loss: 1.1358 caption_loss_cls: 2.4529 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.8018 detection_loss_cls: 0.0550 detection_loss_reg: 0.4489 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5479 2023/10/22 19:21:48 - mmengine - INFO - Iter(train) [178900/320000] base_lr: 8.2737e-05 lr: 3.3805e-05 eta: 4 days, 4:58:27 time: 2.6146 data_time: 0.1466 memory: 25855 grad_norm: 0.7475 loss: 1.1279 caption_loss_cls: 2.4527 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.8017 detection_loss_cls: 0.0548 detection_loss_reg: 0.4483 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5475 2023/10/22 19:25:32 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 19:25:32 - mmengine - INFO - Iter(train) [179000/320000] base_lr: 8.2641e-05 lr: 3.3768e-05 eta: 4 days, 4:50:08 time: 2.6109 data_time: 0.1465 memory: 25855 grad_norm: 0.7526 loss: 1.1311 caption_loss_cls: 2.4528 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.8026 detection_loss_cls: 0.0547 detection_loss_reg: 0.4477 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5468 2023/10/22 19:25:32 - mmengine - INFO - Saving checkpoint at 179000 iterations 2023/10/22 19:30:39 - mmengine - INFO - Iter(train) [179100/320000] base_lr: 8.2546e-05 lr: 3.3730e-05 eta: 4 days, 4:51:36 time: 2.6050 data_time: 0.1457 memory: 26533 grad_norm: 0.7491 loss: 1.1330 caption_loss_cls: 2.4523 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.8029 detection_loss_cls: 0.0546 detection_loss_reg: 0.4476 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5463 2023/10/22 19:35:10 - mmengine - INFO - Iter(train) [179200/320000] base_lr: 8.2450e-05 lr: 3.3693e-05 eta: 4 days, 4:48:54 time: 2.6052 data_time: 0.1456 memory: 25855 grad_norm: 0.7481 loss: 1.1357 caption_loss_cls: 2.4525 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.8026 detection_loss_cls: 0.0546 detection_loss_reg: 0.4477 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5445 2023/10/22 19:39:02 - mmengine - INFO - Iter(train) [179300/320000] base_lr: 8.2355e-05 lr: 3.3655e-05 eta: 4 days, 4:41:36 time: 2.5983 data_time: 0.1454 memory: 26533 grad_norm: 0.7452 loss: 1.1386 caption_loss_cls: 2.4549 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.8040 detection_loss_cls: 0.0547 detection_loss_reg: 0.4481 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5447 2023/10/22 19:43:19 - mmengine - INFO - Iter(train) [179400/320000] base_lr: 8.2259e-05 lr: 3.3617e-05 eta: 4 days, 4:37:12 time: 2.6002 data_time: 0.1454 memory: 25855 grad_norm: 0.7369 loss: 1.1335 caption_loss_cls: 2.4568 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.8034 detection_loss_cls: 0.0546 detection_loss_reg: 0.4474 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5444 2023/10/22 19:47:17 - mmengine - INFO - Iter(train) [179500/320000] base_lr: 8.2164e-05 lr: 3.3580e-05 eta: 4 days, 4:30:43 time: 2.6028 data_time: 0.1454 memory: 25855 grad_norm: 0.7352 loss: 1.1320 caption_loss_cls: 2.4587 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.8031 detection_loss_cls: 0.0545 detection_loss_reg: 0.4480 semantic_segmentation_loss_cls: 0.0137 grounding_loss_reg: 3.5433 2023/10/22 19:47:17 - mmengine - INFO - Saving checkpoint at 179500 iterations 2023/10/22 19:52:07 - mmengine - INFO - Iter(train) [179600/320000] base_lr: 8.2068e-05 lr: 3.3542e-05 eta: 4 days, 4:30:06 time: 2.5986 data_time: 0.1459 memory: 25855 grad_norm: 0.7364 loss: 1.1322 caption_loss_cls: 2.4550 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.8024 detection_loss_cls: 0.0543 detection_loss_reg: 0.4478 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5429 2023/10/22 19:55:58 - mmengine - INFO - Iter(train) [179700/320000] base_lr: 8.1973e-05 lr: 3.3505e-05 eta: 4 days, 4:22:48 time: 2.5994 data_time: 0.1465 memory: 26533 grad_norm: 0.7343 loss: 1.1313 caption_loss_cls: 2.4542 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.8024 detection_loss_cls: 0.0543 detection_loss_reg: 0.4472 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5416 2023/10/22 19:59:41 - mmengine - INFO - Iter(train) [179800/320000] base_lr: 8.1878e-05 lr: 3.3467e-05 eta: 4 days, 4:14:36 time: 2.5954 data_time: 0.1464 memory: 25855 grad_norm: 0.7343 loss: 1.1404 caption_loss_cls: 2.4536 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.8019 detection_loss_cls: 0.0546 detection_loss_reg: 0.4484 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5405 2023/10/22 20:03:37 - mmengine - INFO - Iter(train) [179900/320000] base_lr: 8.1782e-05 lr: 3.3429e-05 eta: 4 days, 4:07:53 time: 2.5842 data_time: 0.1460 memory: 25855 grad_norm: 0.7358 loss: 1.1453 caption_loss_cls: 2.4510 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.8018 detection_loss_cls: 0.0545 detection_loss_reg: 0.4478 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5401 2023/10/22 20:07:44 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 20:07:44 - mmengine - INFO - Iter(train) [180000/320000] base_lr: 8.1687e-05 lr: 3.3392e-05 eta: 4 days, 4:02:26 time: 2.5849 data_time: 0.1459 memory: 26533 grad_norm: 0.7356 loss: 1.1399 caption_loss_cls: 2.4500 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.8027 detection_loss_cls: 0.0544 detection_loss_reg: 0.4476 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5380 2023/10/22 20:07:44 - mmengine - INFO - Saving checkpoint at 180000 iterations 2023/10/22 20:12:22 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.4306 data_time: 0.0319 memory: 14015 2023/10/22 20:13:12 - mmengine - INFO - Evaluating bbox... 2023/10/22 20:14:13 - mmengine - INFO - bbox_mAP_copypaste: 0.464 0.635 0.505 0.298 0.512 0.607 2023/10/22 20:14:13 - mmengine - INFO - Evaluating segm... 2023/10/22 20:15:30 - mmengine - INFO - segm_mAP_copypaste: 0.296 0.543 0.288 0.157 0.332 0.454 2023/10/22 20:16:30 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3686 data_time: 0.0298 memory: 14015 2023/10/22 20:16:51 - mmengine - INFO - Evaluating bbox... 2023/10/22 20:17:53 - mmengine - INFO - bbox_mAP_copypaste: 0.466 0.637 0.511 0.303 0.514 0.610 2023/10/22 20:20:39 - mmengine - INFO - per class results: 2023/10/22 20:20:39 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 74.22 | 87.15 | | building | 79.97 | 91.4 | | sky | 92.47 | 97.29 | | floor | 79.53 | 88.19 | | tree | 71.93 | 84.39 | | ceiling | 80.77 | 89.66 | | road | 81.44 | 89.15 | | bed | 85.33 | 94.35 | | windowpane | 60.05 | 75.46 | | grass | 68.02 | 83.85 | | cabinet | 56.5 | 69.31 | | sidewalk | 64.4 | 80.64 | | person | 77.49 | 88.16 | | earth | 32.75 | 40.11 | | door | 44.72 | 69.18 | | table | 52.4 | 69.77 | | mountain | 56.72 | 70.93 | | plant | 51.28 | 69.83 | | curtain | 67.51 | 85.71 | | chair | 44.0 | 51.75 | | car | 78.26 | 87.95 | | water | 55.41 | 79.25 | | painting | 68.03 | 81.59 | | sofa | 60.64 | 79.89 | | shelf | 38.93 | 49.32 | | house | 48.67 | 64.63 | | sea | 57.9 | 72.74 | | mirror | 59.99 | 69.93 | | rug | 60.88 | 72.65 | | field | 32.36 | 55.45 | | armchair | 35.54 | 61.95 | | seat | 56.32 | 76.41 | | fence | 43.35 | 58.52 | | desk | 34.98 | 65.46 | | rock | 37.41 | 56.31 | | wardrobe | 47.23 | 57.84 | | lamp | 55.86 | 65.79 | | bathtub | 66.81 | 76.35 | | railing | 33.55 | 50.28 | | cushion | 49.01 | 61.9 | | base | 24.27 | 38.97 | | box | 21.66 | 25.86 | | column | 42.11 | 53.59 | | signboard | 33.42 | 44.91 | | chest of drawers | 30.99 | 43.07 | | counter | 32.54 | 46.54 | | sand | 44.72 | 51.39 | | sink | 62.33 | 75.05 | | skyscraper | 55.04 | 88.97 | | fireplace | 65.6 | 80.04 | | refrigerator | 64.38 | 74.83 | | grandstand | 33.93 | 64.73 | | path | 25.87 | 29.89 | | stairs | 32.9 | 42.98 | | runway | 70.08 | 91.98 | | case | 43.5 | 60.33 | | pool table | 82.96 | 96.7 | | pillow | 38.5 | 43.3 | | screen door | 7.24 | 7.24 | | stairway | 31.33 | 41.36 | | river | 12.66 | 15.34 | | bridge | 53.98 | 65.56 | | bookcase | 31.49 | 47.02 | | blind | 26.16 | 28.07 | | coffee table | 48.72 | 85.64 | | toilet | 79.88 | 89.4 | | flower | 25.19 | 45.53 | | book | 42.14 | 56.81 | | hill | 9.53 | 16.21 | | bench | 42.31 | 68.76 | | countertop | 50.59 | 58.9 | | stove | 63.01 | 80.15 | | palm | 45.63 | 59.87 | | kitchen island | 25.27 | 55.55 | | computer | 64.46 | 86.35 | | swivel chair | 34.68 | 61.2 | | boat | 61.88 | 86.89 | | bar | 31.18 | 35.28 | | arcade machine | 59.84 | 67.67 | | hovel | 19.83 | 20.71 | | bus | 75.41 | 95.24 | | towel | 49.16 | 62.26 | | light | 35.89 | 42.1 | | truck | 32.45 | 69.47 | | tower | 31.6 | 54.03 | | chandelier | 54.46 | 66.74 | | awning | 23.8 | 29.21 | | streetlight | 24.63 | 37.16 | | booth | 33.39 | 34.55 | | television receiver | 58.59 | 78.55 | | airplane | 54.72 | 63.39 | | dirt track | 0.94 | 1.79 | | apparel | 22.42 | 33.63 | | pole | 12.72 | 16.05 | | land | 7.27 | 12.16 | | bannister | 1.13 | 1.67 | | escalator | 53.68 | 69.46 | | ottoman | 34.2 | 49.96 | | bottle | 19.73 | 28.63 | | buffet | 36.98 | 38.1 | | poster | 15.19 | 17.85 | | stage | 5.53 | 8.97 | | van | 27.29 | 30.12 | | ship | 71.81 | 78.77 | | fountain | 10.39 | 10.93 | | conveyer belt | 72.03 | 90.79 | | canopy | 20.98 | 22.47 | | washer | 55.41 | 65.27 | | plaything | 18.67 | 21.8 | | swimming pool | 37.75 | 81.66 | | stool | 37.58 | 45.93 | | barrel | 16.8 | 43.52 | | basket | 27.58 | 41.15 | | waterfall | 50.15 | 55.97 | | tent | 87.71 | 96.35 | | bag | 16.63 | 18.74 | | minibike | 69.04 | 85.84 | | cradle | 70.74 | 90.81 | | oven | 27.13 | 41.15 | | ball | 47.57 | 65.77 | | food | 47.67 | 53.55 | | step | 1.21 | 1.36 | | tank | 37.83 | 43.27 | | trade name | 9.31 | 9.89 | | microwave | 80.27 | 88.12 | | pot | 38.48 | 44.44 | | animal | 59.55 | 68.29 | | bicycle | 54.68 | 66.97 | | lake | 0.0 | 0.0 | | dishwasher | 43.55 | 70.0 | | screen | 50.77 | 67.47 | | blanket | 0.0 | 0.0 | | sculpture | 41.8 | 62.73 | | hood | 46.3 | 58.57 | | sconce | 13.8 | 15.21 | | vase | 34.13 | 52.3 | | traffic light | 24.13 | 29.2 | | tray | 2.29 | 2.95 | | ashcan | 28.86 | 33.4 | | fan | 50.74 | 64.56 | | pier | 15.78 | 16.43 | | crt screen | 3.69 | 14.27 | | plate | 45.62 | 52.82 | | monitor | 5.57 | 6.11 | | bulletin board | 15.5 | 16.0 | | shower | 1.38 | 2.2 | | radiator | 52.57 | 63.78 | | glass | 9.79 | 10.22 | | clock | 17.68 | 20.4 | | flag | 50.07 | 55.77 | +---------------------+-------+-------+ 2023/10/22 20:20:47 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.4660 coco/bbox_mAP_50: 0.6370 coco/bbox_mAP_75: 0.5110 coco/bbox_mAP_s: 0.3030 coco/bbox_mAP_m: 0.5140 coco/bbox_mAP_l: 0.6100 coco/segm_mAP: 0.2960 coco/segm_mAP_50: 0.5430 coco/segm_mAP_75: 0.2880 coco/segm_mAP_s: 0.1570 coco/segm_mAP_m: 0.3320 coco/segm_mAP_l: 0.4540 Bleu_1: 0.7374 Bleu_2: 0.5658 Bleu_3: 0.4230 Bleu_4: 0.3138 METEOR: 0.2607 ROUGE_L: 0.5425 CIDEr: 1.0120 SPICE: 0.1899 aAcc: 80.7500 mIoU: 42.3100 mAcc: 54.2800 visual-grounding/miou: 0.6856 visual-grounding/acc: 0.7535 data_time: 0.0334 time: 1.0834 2023/10/22 20:24:47 - mmengine - INFO - Iter(train) [180100/320000] base_lr: 8.1592e-05 lr: 3.3354e-05 eta: 4 days, 3:56:27 time: 2.5681 data_time: 0.1312 memory: 25855 grad_norm: 0.7456 loss: 1.1450 caption_loss_cls: 2.4471 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.8031 detection_loss_cls: 0.0544 detection_loss_reg: 0.4483 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5358 2023/10/22 20:28:48 - mmengine - INFO - Iter(train) [180200/320000] base_lr: 8.1496e-05 lr: 3.3317e-05 eta: 4 days, 3:50:20 time: 2.5697 data_time: 0.1311 memory: 25855 grad_norm: 0.7486 loss: 1.1457 caption_loss_cls: 2.4439 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.8038 detection_loss_cls: 0.0545 detection_loss_reg: 0.4489 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5346 2023/10/22 20:33:08 - mmengine - INFO - Iter(train) [180300/320000] base_lr: 8.1401e-05 lr: 3.3279e-05 eta: 4 days, 3:46:20 time: 2.5705 data_time: 0.1312 memory: 25855 grad_norm: 0.7512 loss: 1.1426 caption_loss_cls: 2.4412 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.8038 detection_loss_cls: 0.0544 detection_loss_reg: 0.4487 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5331 2023/10/22 20:37:15 - mmengine - INFO - Iter(train) [180400/320000] base_lr: 8.1306e-05 lr: 3.3242e-05 eta: 4 days, 3:40:57 time: 2.5725 data_time: 0.1311 memory: 25855 grad_norm: 0.7476 loss: 1.1375 caption_loss_cls: 2.4416 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.8032 detection_loss_cls: 0.0543 detection_loss_reg: 0.4489 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5325 2023/10/22 20:41:34 - mmengine - INFO - Iter(train) [180500/320000] base_lr: 8.1211e-05 lr: 3.3204e-05 eta: 4 days, 3:36:54 time: 2.5676 data_time: 0.1311 memory: 26533 grad_norm: 0.7516 loss: 1.1412 caption_loss_cls: 2.4428 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.8046 detection_loss_cls: 0.0543 detection_loss_reg: 0.4488 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5317 2023/10/22 20:41:34 - mmengine - INFO - Saving checkpoint at 180500 iterations 2023/10/22 20:46:57 - mmengine - INFO - Iter(train) [180600/320000] base_lr: 8.1115e-05 lr: 3.3167e-05 eta: 4 days, 3:39:46 time: 2.5694 data_time: 0.1316 memory: 25855 grad_norm: 0.7509 loss: 1.1438 caption_loss_cls: 2.4431 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.8047 detection_loss_cls: 0.0543 detection_loss_reg: 0.4485 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5300 2023/10/22 20:51:10 - mmengine - INFO - Iter(train) [180700/320000] base_lr: 8.1020e-05 lr: 3.3129e-05 eta: 4 days, 3:34:58 time: 2.5698 data_time: 0.1317 memory: 25855 grad_norm: 0.7558 loss: 1.1480 caption_loss_cls: 2.4429 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2978 instance_segmentation_loss_poly: 0.8048 detection_loss_cls: 0.0543 detection_loss_reg: 0.4489 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5286 2023/10/22 20:55:15 - mmengine - INFO - Iter(train) [180800/320000] base_lr: 8.0925e-05 lr: 3.3092e-05 eta: 4 days, 3:29:21 time: 2.5673 data_time: 0.1316 memory: 25855 grad_norm: 0.7540 loss: 1.1439 caption_loss_cls: 2.4416 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.8044 detection_loss_cls: 0.0543 detection_loss_reg: 0.4490 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5285 2023/10/22 20:59:23 - mmengine - INFO - Iter(train) [180900/320000] base_lr: 8.0830e-05 lr: 3.3054e-05 eta: 4 days, 3:24:06 time: 2.5730 data_time: 0.1317 memory: 26533 grad_norm: 0.7554 loss: 1.1425 caption_loss_cls: 2.4398 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.8040 detection_loss_cls: 0.0541 detection_loss_reg: 0.4484 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5272 2023/10/22 21:04:02 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 21:04:02 - mmengine - INFO - Iter(train) [181000/320000] base_lr: 8.0735e-05 lr: 3.3017e-05 eta: 4 days, 3:22:02 time: 2.5864 data_time: 0.1315 memory: 25855 grad_norm: 0.7524 loss: 1.1401 caption_loss_cls: 2.4408 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.8044 detection_loss_cls: 0.0540 detection_loss_reg: 0.4474 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5261 2023/10/22 21:04:02 - mmengine - INFO - Saving checkpoint at 181000 iterations 2023/10/22 21:09:09 - mmengine - INFO - Iter(train) [181100/320000] base_lr: 8.0640e-05 lr: 3.2979e-05 eta: 4 days, 3:23:00 time: 2.5848 data_time: 0.1324 memory: 26533 grad_norm: 0.7568 loss: 1.1403 caption_loss_cls: 2.4379 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.8053 detection_loss_cls: 0.0539 detection_loss_reg: 0.4466 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5245 2023/10/22 21:13:09 - mmengine - INFO - Iter(train) [181200/320000] base_lr: 8.0544e-05 lr: 3.2942e-05 eta: 4 days, 3:16:50 time: 2.5844 data_time: 0.1324 memory: 26533 grad_norm: 0.7568 loss: 1.1404 caption_loss_cls: 2.4372 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.8067 detection_loss_cls: 0.0540 detection_loss_reg: 0.4462 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5231 2023/10/22 21:17:09 - mmengine - INFO - Iter(train) [181300/320000] base_lr: 8.0449e-05 lr: 3.2904e-05 eta: 4 days, 3:10:44 time: 2.5751 data_time: 0.1320 memory: 26533 grad_norm: 0.7542 loss: 1.1388 caption_loss_cls: 2.4356 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.8065 detection_loss_cls: 0.0541 detection_loss_reg: 0.4471 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5228 2023/10/22 21:21:37 - mmengine - INFO - Iter(train) [181400/320000] base_lr: 8.0354e-05 lr: 3.2867e-05 eta: 4 days, 3:07:32 time: 2.5852 data_time: 0.1321 memory: 26533 grad_norm: 0.7600 loss: 1.1408 caption_loss_cls: 2.4354 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.8082 detection_loss_cls: 0.0542 detection_loss_reg: 0.4468 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5202 2023/10/22 21:26:07 - mmengine - INFO - Iter(train) [181500/320000] base_lr: 8.0259e-05 lr: 3.2829e-05 eta: 4 days, 3:04:32 time: 2.5906 data_time: 0.1320 memory: 25855 grad_norm: 0.7580 loss: 1.1380 caption_loss_cls: 2.4391 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.8077 detection_loss_cls: 0.0542 detection_loss_reg: 0.4470 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5186 2023/10/22 21:26:07 - mmengine - INFO - Saving checkpoint at 181500 iterations 2023/10/22 21:31:05 - mmengine - INFO - Iter(train) [181600/320000] base_lr: 8.0164e-05 lr: 3.2792e-05 eta: 4 days, 3:04:22 time: 2.5846 data_time: 0.1320 memory: 26533 grad_norm: 0.7587 loss: 1.1382 caption_loss_cls: 2.4369 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.8070 detection_loss_cls: 0.0542 detection_loss_reg: 0.4473 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5177 2023/10/22 21:35:16 - mmengine - INFO - Iter(train) [181700/320000] base_lr: 8.0069e-05 lr: 3.2755e-05 eta: 4 days, 2:59:21 time: 2.5840 data_time: 0.1321 memory: 25855 grad_norm: 0.7601 loss: 1.1385 caption_loss_cls: 2.4374 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.8081 detection_loss_cls: 0.0542 detection_loss_reg: 0.4476 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5161 2023/10/22 21:39:27 - mmengine - INFO - Iter(train) [181800/320000] base_lr: 7.9974e-05 lr: 3.2717e-05 eta: 4 days, 2:54:25 time: 2.5781 data_time: 0.1295 memory: 25855 grad_norm: 0.7614 loss: 1.1356 caption_loss_cls: 2.4352 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8055 detection_loss_cls: 0.0542 detection_loss_reg: 0.4471 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5146 2023/10/22 21:43:35 - mmengine - INFO - Iter(train) [181900/320000] base_lr: 7.9879e-05 lr: 3.2680e-05 eta: 4 days, 2:49:07 time: 2.5863 data_time: 0.1295 memory: 25855 grad_norm: 0.7565 loss: 1.1325 caption_loss_cls: 2.4352 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.8060 detection_loss_cls: 0.0541 detection_loss_reg: 0.4473 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5147 2023/10/22 21:47:26 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 21:47:26 - mmengine - INFO - Iter(train) [182000/320000] base_lr: 7.9784e-05 lr: 3.2642e-05 eta: 4 days, 2:42:13 time: 2.5794 data_time: 0.1295 memory: 25855 grad_norm: 0.7618 loss: 1.1370 caption_loss_cls: 2.4312 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.8050 detection_loss_cls: 0.0541 detection_loss_reg: 0.4465 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5126 2023/10/22 21:47:26 - mmengine - INFO - Saving checkpoint at 182000 iterations 2023/10/22 21:52:24 - mmengine - INFO - Iter(train) [182100/320000] base_lr: 7.9689e-05 lr: 3.2605e-05 eta: 4 days, 2:41:55 time: 2.5793 data_time: 0.1299 memory: 26533 grad_norm: 0.7681 loss: 1.1477 caption_loss_cls: 2.4339 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.8068 detection_loss_cls: 0.0542 detection_loss_reg: 0.4468 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5111 2023/10/22 21:56:53 - mmengine - INFO - Iter(train) [182200/320000] base_lr: 7.9595e-05 lr: 3.2568e-05 eta: 4 days, 2:38:44 time: 2.5895 data_time: 0.1300 memory: 26533 grad_norm: 0.7580 loss: 1.1428 caption_loss_cls: 2.4341 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.8073 detection_loss_cls: 0.0543 detection_loss_reg: 0.4476 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5109 2023/10/22 22:00:53 - mmengine - INFO - Iter(train) [182300/320000] base_lr: 7.9500e-05 lr: 3.2530e-05 eta: 4 days, 2:32:41 time: 2.5909 data_time: 0.1299 memory: 25855 grad_norm: 0.7583 loss: 1.1385 caption_loss_cls: 2.4350 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8057 detection_loss_cls: 0.0544 detection_loss_reg: 0.4482 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5080 2023/10/22 22:04:31 - mmengine - INFO - Iter(train) [182400/320000] base_lr: 7.9405e-05 lr: 3.2493e-05 eta: 4 days, 2:24:33 time: 2.5808 data_time: 0.1306 memory: 26533 grad_norm: 0.7644 loss: 1.1463 caption_loss_cls: 2.4320 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.8063 detection_loss_cls: 0.0545 detection_loss_reg: 0.4491 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5070 2023/10/22 22:08:29 - mmengine - INFO - Iter(train) [182500/320000] base_lr: 7.9310e-05 lr: 3.2455e-05 eta: 4 days, 2:18:19 time: 2.5768 data_time: 0.1305 memory: 25855 grad_norm: 0.7615 loss: 1.1388 caption_loss_cls: 2.4315 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8061 detection_loss_cls: 0.0545 detection_loss_reg: 0.4486 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5067 2023/10/22 22:08:29 - mmengine - INFO - Saving checkpoint at 182500 iterations 2023/10/22 22:13:34 - mmengine - INFO - Iter(train) [182600/320000] base_lr: 7.9215e-05 lr: 3.2418e-05 eta: 4 days, 2:18:38 time: 2.5792 data_time: 0.1307 memory: 26533 grad_norm: 0.7625 loss: 1.1358 caption_loss_cls: 2.4314 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.8053 detection_loss_cls: 0.0546 detection_loss_reg: 0.4484 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.5043 2023/10/22 22:17:49 - mmengine - INFO - Iter(train) [182700/320000] base_lr: 7.9120e-05 lr: 3.2381e-05 eta: 4 days, 2:14:05 time: 2.5810 data_time: 0.1308 memory: 26533 grad_norm: 0.7630 loss: 1.1392 caption_loss_cls: 2.4298 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.8052 detection_loss_cls: 0.0546 detection_loss_reg: 0.4487 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.5037 2023/10/22 22:21:03 - mmengine - INFO - Iter(train) [182800/320000] base_lr: 7.9026e-05 lr: 3.2343e-05 eta: 4 days, 2:03:40 time: 2.5633 data_time: 0.1305 memory: 25855 grad_norm: 0.7688 loss: 1.1437 caption_loss_cls: 2.4297 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.8050 detection_loss_cls: 0.0546 detection_loss_reg: 0.4489 semantic_segmentation_loss_cls: 0.0136 grounding_loss_reg: 3.5017 2023/10/22 22:25:29 - mmengine - INFO - Iter(train) [182900/320000] base_lr: 7.8931e-05 lr: 3.2306e-05 eta: 4 days, 2:00:13 time: 2.5593 data_time: 0.1303 memory: 26533 grad_norm: 0.7725 loss: 1.1506 caption_loss_cls: 2.4281 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.8047 detection_loss_cls: 0.0546 detection_loss_reg: 0.4490 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.5012 2023/10/22 22:29:38 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 22:29:38 - mmengine - INFO - Iter(train) [183000/320000] base_lr: 7.8836e-05 lr: 3.2269e-05 eta: 4 days, 1:55:07 time: 2.5657 data_time: 0.1305 memory: 25855 grad_norm: 0.7664 loss: 1.1435 caption_loss_cls: 2.4255 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.8050 detection_loss_cls: 0.0547 detection_loss_reg: 0.4490 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4999 2023/10/22 22:29:38 - mmengine - INFO - Saving checkpoint at 183000 iterations 2023/10/22 22:34:24 - mmengine - INFO - Iter(train) [183100/320000] base_lr: 7.8741e-05 lr: 3.2231e-05 eta: 4 days, 1:53:36 time: 2.5606 data_time: 0.1301 memory: 25855 grad_norm: 0.7683 loss: 1.1439 caption_loss_cls: 2.4246 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.8056 detection_loss_cls: 0.0548 detection_loss_reg: 0.4492 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4997 2023/10/22 22:38:12 - mmengine - INFO - Iter(train) [183200/320000] base_lr: 7.8647e-05 lr: 3.2194e-05 eta: 4 days, 1:46:31 time: 2.5497 data_time: 0.1299 memory: 26533 grad_norm: 0.7686 loss: 1.1436 caption_loss_cls: 2.4240 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2995 instance_segmentation_loss_poly: 0.8060 detection_loss_cls: 0.0549 detection_loss_reg: 0.4500 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4994 2023/10/22 22:42:36 - mmengine - INFO - Iter(train) [183300/320000] base_lr: 7.8552e-05 lr: 3.2157e-05 eta: 4 days, 1:42:51 time: 2.5577 data_time: 0.1298 memory: 26533 grad_norm: 0.7669 loss: 1.1346 caption_loss_cls: 2.4224 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.8054 detection_loss_cls: 0.0547 detection_loss_reg: 0.4498 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4990 2023/10/22 22:46:53 - mmengine - INFO - Iter(train) [183400/320000] base_lr: 7.8457e-05 lr: 3.2120e-05 eta: 4 days, 1:38:30 time: 2.5577 data_time: 0.1298 memory: 25855 grad_norm: 0.7693 loss: 1.1337 caption_loss_cls: 2.4194 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.8050 detection_loss_cls: 0.0547 detection_loss_reg: 0.4504 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4974 2023/10/22 22:51:26 - mmengine - INFO - Iter(train) [183500/320000] base_lr: 7.8363e-05 lr: 3.2082e-05 eta: 4 days, 1:35:41 time: 2.5664 data_time: 0.1299 memory: 26533 grad_norm: 0.7689 loss: 1.1332 caption_loss_cls: 2.4201 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.8033 detection_loss_cls: 0.0545 detection_loss_reg: 0.4501 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4974 2023/10/22 22:51:26 - mmengine - INFO - Saving checkpoint at 183500 iterations 2023/10/22 22:56:39 - mmengine - INFO - Iter(train) [183600/320000] base_lr: 7.8268e-05 lr: 3.2045e-05 eta: 4 days, 1:36:30 time: 2.5721 data_time: 0.1301 memory: 26533 grad_norm: 0.7661 loss: 1.1319 caption_loss_cls: 2.4202 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.8029 detection_loss_cls: 0.0545 detection_loss_reg: 0.4500 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4973 2023/10/22 23:00:55 - mmengine - INFO - Iter(train) [183700/320000] base_lr: 7.8173e-05 lr: 3.2008e-05 eta: 4 days, 1:32:03 time: 2.5783 data_time: 0.1295 memory: 25855 grad_norm: 0.7634 loss: 1.1303 caption_loss_cls: 2.4231 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.8030 detection_loss_cls: 0.0542 detection_loss_reg: 0.4495 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4966 2023/10/22 23:05:09 - mmengine - INFO - Iter(train) [183800/320000] base_lr: 7.8079e-05 lr: 3.1970e-05 eta: 4 days, 1:27:29 time: 2.5863 data_time: 0.1296 memory: 26533 grad_norm: 0.7629 loss: 1.1227 caption_loss_cls: 2.4209 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.8030 detection_loss_cls: 0.0542 detection_loss_reg: 0.4496 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4953 2023/10/22 23:09:20 - mmengine - INFO - Iter(train) [183900/320000] base_lr: 7.7984e-05 lr: 3.1933e-05 eta: 4 days, 1:22:34 time: 2.5900 data_time: 0.1296 memory: 26533 grad_norm: 0.7653 loss: 1.1199 caption_loss_cls: 2.4186 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.8030 detection_loss_cls: 0.0541 detection_loss_reg: 0.4495 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4940 2023/10/22 23:13:37 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 23:13:37 - mmengine - INFO - Iter(train) [184000/320000] base_lr: 7.7890e-05 lr: 3.1896e-05 eta: 4 days, 1:18:11 time: 2.5924 data_time: 0.1296 memory: 25855 grad_norm: 0.7628 loss: 1.1219 caption_loss_cls: 2.4208 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2980 instance_segmentation_loss_poly: 0.8026 detection_loss_cls: 0.0541 detection_loss_reg: 0.4494 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4940 2023/10/22 23:13:37 - mmengine - INFO - Saving checkpoint at 184000 iterations 2023/10/22 23:18:18 - mmengine - INFO - Iter(train) [184100/320000] base_lr: 7.7795e-05 lr: 3.1859e-05 eta: 4 days, 1:16:00 time: 2.6022 data_time: 0.1451 memory: 25855 grad_norm: 0.7608 loss: 1.1279 caption_loss_cls: 2.4195 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.8025 detection_loss_cls: 0.0541 detection_loss_reg: 0.4494 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4929 2023/10/22 23:22:02 - mmengine - INFO - Iter(train) [184200/320000] base_lr: 7.7701e-05 lr: 3.1822e-05 eta: 4 days, 1:08:44 time: 2.5982 data_time: 0.1452 memory: 25855 grad_norm: 0.7592 loss: 1.1301 caption_loss_cls: 2.4190 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.8024 detection_loss_cls: 0.0541 detection_loss_reg: 0.4490 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4929 2023/10/22 23:25:59 - mmengine - INFO - Iter(train) [184300/320000] base_lr: 7.7606e-05 lr: 3.1784e-05 eta: 4 days, 1:02:34 time: 2.5925 data_time: 0.1450 memory: 25855 grad_norm: 0.7608 loss: 1.1325 caption_loss_cls: 2.4164 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2986 instance_segmentation_loss_poly: 0.8030 detection_loss_cls: 0.0539 detection_loss_reg: 0.4479 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4922 2023/10/22 23:30:04 - mmengine - INFO - Iter(train) [184400/320000] base_lr: 7.7512e-05 lr: 3.1747e-05 eta: 4 days, 0:57:10 time: 2.5919 data_time: 0.1450 memory: 25855 grad_norm: 0.7628 loss: 1.1331 caption_loss_cls: 2.4160 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2984 instance_segmentation_loss_poly: 0.8029 detection_loss_cls: 0.0540 detection_loss_reg: 0.4490 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4911 2023/10/22 23:34:43 - mmengine - INFO - Iter(train) [184500/320000] base_lr: 7.7418e-05 lr: 3.1710e-05 eta: 4 days, 0:54:45 time: 2.5968 data_time: 0.1452 memory: 25855 grad_norm: 0.7623 loss: 1.1354 caption_loss_cls: 2.4172 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.8030 detection_loss_cls: 0.0540 detection_loss_reg: 0.4491 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4912 2023/10/22 23:34:43 - mmengine - INFO - Saving checkpoint at 184500 iterations 2023/10/22 23:39:32 - mmengine - INFO - Iter(train) [184600/320000] base_lr: 7.7323e-05 lr: 3.1673e-05 eta: 4 days, 0:53:18 time: 2.5883 data_time: 0.1451 memory: 26533 grad_norm: 0.7648 loss: 1.1382 caption_loss_cls: 2.4182 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.8048 detection_loss_cls: 0.0539 detection_loss_reg: 0.4485 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4900 2023/10/22 23:43:37 - mmengine - INFO - Iter(train) [184700/320000] base_lr: 7.7229e-05 lr: 3.1636e-05 eta: 4 days, 0:47:50 time: 2.5862 data_time: 0.1454 memory: 25855 grad_norm: 0.7611 loss: 1.1354 caption_loss_cls: 2.4183 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3005 instance_segmentation_loss_poly: 0.8050 detection_loss_cls: 0.0539 detection_loss_reg: 0.4481 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4894 2023/10/22 23:48:06 - mmengine - INFO - Iter(train) [184800/320000] base_lr: 7.7135e-05 lr: 3.1598e-05 eta: 4 days, 0:44:32 time: 2.5922 data_time: 0.1461 memory: 25855 grad_norm: 0.7649 loss: 1.1430 caption_loss_cls: 2.4207 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.8041 detection_loss_cls: 0.0538 detection_loss_reg: 0.4484 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4884 2023/10/22 23:52:23 - mmengine - INFO - Iter(train) [184900/320000] base_lr: 7.7040e-05 lr: 3.1561e-05 eta: 4 days, 0:40:16 time: 2.5946 data_time: 0.1461 memory: 26533 grad_norm: 0.7606 loss: 1.1395 caption_loss_cls: 2.4200 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.8054 detection_loss_cls: 0.0538 detection_loss_reg: 0.4481 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4883 2023/10/22 23:56:26 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/22 23:56:26 - mmengine - INFO - Iter(train) [185000/320000] base_lr: 7.6946e-05 lr: 3.1524e-05 eta: 4 days, 0:34:40 time: 2.5857 data_time: 0.1461 memory: 26533 grad_norm: 0.7616 loss: 1.1387 caption_loss_cls: 2.4193 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_reg: 0.3007 instance_segmentation_loss_poly: 0.8062 detection_loss_cls: 0.0534 detection_loss_reg: 0.4462 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4868 2023/10/22 23:56:26 - mmengine - INFO - Saving checkpoint at 185000 iterations 2023/10/23 00:01:41 - mmengine - INFO - Iter(train) [185100/320000] base_lr: 7.6852e-05 lr: 3.1487e-05 eta: 4 days, 0:35:19 time: 2.5875 data_time: 0.1455 memory: 25855 grad_norm: 0.7579 loss: 1.1337 caption_loss_cls: 2.4153 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.8047 detection_loss_cls: 0.0535 detection_loss_reg: 0.4463 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4864 2023/10/23 00:06:13 - mmengine - INFO - Iter(train) [185200/320000] base_lr: 7.6757e-05 lr: 3.1450e-05 eta: 4 days, 0:32:13 time: 2.5955 data_time: 0.1455 memory: 26533 grad_norm: 0.7573 loss: 1.1352 caption_loss_cls: 2.4171 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_reg: 0.2999 instance_segmentation_loss_poly: 0.8041 detection_loss_cls: 0.0533 detection_loss_reg: 0.4459 semantic_segmentation_loss_cls: 0.0134 grounding_loss_reg: 3.4855 2023/10/23 00:10:38 - mmengine - INFO - Iter(train) [185300/320000] base_lr: 7.6663e-05 lr: 3.1413e-05 eta: 4 days, 0:28:34 time: 2.6019 data_time: 0.1456 memory: 26533 grad_norm: 0.7627 loss: 1.1435 caption_loss_cls: 2.4163 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.8044 detection_loss_cls: 0.0534 detection_loss_reg: 0.4464 semantic_segmentation_loss_cls: 0.0135 grounding_loss_reg: 3.4846 2023/10/23 00:14:25 - mmengine - INFO - Iter(train) [185400/320000] base_lr: 7.6569e-05 lr: 3.1376e-05 eta: 4 days, 0:21:36 time: 2.5915 data_time: 0.1455 memory: 25855 grad_norm: 0.7608 loss: 1.1435 caption_loss_cls: 2.4142 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.8042 detection_loss_cls: 0.0534 detection_loss_reg: 0.4464 semantic_segmentation_loss_cls: 0.0134 grounding_loss_reg: 3.4836 2023/10/23 00:18:42 - mmengine - INFO - Iter(train) [185500/320000] base_lr: 7.6475e-05 lr: 3.1339e-05 eta: 4 days, 0:17:16 time: 2.5883 data_time: 0.1455 memory: 26533 grad_norm: 0.7593 loss: 1.1359 caption_loss_cls: 2.4131 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.8031 detection_loss_cls: 0.0534 detection_loss_reg: 0.4458 semantic_segmentation_loss_cls: 0.0134 grounding_loss_reg: 3.4827 2023/10/23 00:18:42 - mmengine - INFO - Saving checkpoint at 185500 iterations 2023/10/23 00:24:00 - mmengine - INFO - Iter(train) [185600/320000] base_lr: 7.6381e-05 lr: 3.1301e-05 eta: 4 days, 0:18:01 time: 2.5932 data_time: 0.1461 memory: 25855 grad_norm: 0.7546 loss: 1.1327 caption_loss_cls: 2.4127 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.8029 detection_loss_cls: 0.0533 detection_loss_reg: 0.4457 semantic_segmentation_loss_cls: 0.0134 grounding_loss_reg: 3.4825 2023/10/23 00:27:51 - mmengine - INFO - Iter(train) [185700/320000] base_lr: 7.6287e-05 lr: 3.1264e-05 eta: 4 days, 0:11:29 time: 2.5884 data_time: 0.1459 memory: 25855 grad_norm: 0.7584 loss: 1.1360 caption_loss_cls: 2.4101 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.8030 detection_loss_cls: 0.0532 detection_loss_reg: 0.4449 semantic_segmentation_loss_cls: 0.0134 grounding_loss_reg: 3.4803 2023/10/23 00:31:42 - mmengine - INFO - Iter(train) [185800/320000] base_lr: 7.6192e-05 lr: 3.1227e-05 eta: 4 days, 0:04:56 time: 2.5833 data_time: 0.1459 memory: 25855 grad_norm: 0.7594 loss: 1.1402 caption_loss_cls: 2.4093 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.8028 detection_loss_cls: 0.0534 detection_loss_reg: 0.4453 semantic_segmentation_loss_cls: 0.0134 grounding_loss_reg: 3.4793 2023/10/23 00:35:47 - mmengine - INFO - Iter(train) [185900/320000] base_lr: 7.6098e-05 lr: 3.1190e-05 eta: 3 days, 23:59:34 time: 2.5826 data_time: 0.1458 memory: 26533 grad_norm: 0.7543 loss: 1.1337 caption_loss_cls: 2.4102 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.8025 detection_loss_cls: 0.0534 detection_loss_reg: 0.4461 semantic_segmentation_loss_cls: 0.0134 grounding_loss_reg: 3.4785 2023/10/23 00:39:59 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/23 00:39:59 - mmengine - INFO - Iter(train) [186000/320000] base_lr: 7.6004e-05 lr: 3.1153e-05 eta: 3 days, 23:54:50 time: 2.5878 data_time: 0.1459 memory: 25855 grad_norm: 0.7540 loss: 1.1342 caption_loss_cls: 2.4111 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.8024 detection_loss_cls: 0.0535 detection_loss_reg: 0.4467 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4775 2023/10/23 00:39:59 - mmengine - INFO - Saving checkpoint at 186000 iterations 2023/10/23 00:45:20 - mmengine - INFO - Iter(train) [186100/320000] base_lr: 7.5910e-05 lr: 3.1116e-05 eta: 3 days, 23:55:41 time: 2.5935 data_time: 0.1456 memory: 26533 grad_norm: 0.7470 loss: 1.1212 caption_loss_cls: 2.4117 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2993 instance_segmentation_loss_poly: 0.8015 detection_loss_cls: 0.0535 detection_loss_reg: 0.4469 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4772 2023/10/23 00:49:47 - mmengine - INFO - Iter(train) [186200/320000] base_lr: 7.5816e-05 lr: 3.1079e-05 eta: 3 days, 23:52:12 time: 2.5932 data_time: 0.1457 memory: 26533 grad_norm: 0.7545 loss: 1.1255 caption_loss_cls: 2.4083 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8007 detection_loss_cls: 0.0535 detection_loss_reg: 0.4460 semantic_segmentation_loss_cls: 0.0134 grounding_loss_reg: 3.4761 2023/10/23 00:54:16 - mmengine - INFO - Iter(train) [186300/320000] base_lr: 7.5722e-05 lr: 3.1042e-05 eta: 3 days, 23:48:45 time: 2.6003 data_time: 0.1466 memory: 25855 grad_norm: 0.7542 loss: 1.1291 caption_loss_cls: 2.4065 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8009 detection_loss_cls: 0.0535 detection_loss_reg: 0.4463 semantic_segmentation_loss_cls: 0.0134 grounding_loss_reg: 3.4750 2023/10/23 00:58:23 - mmengine - INFO - Iter(train) [186400/320000] base_lr: 7.5628e-05 lr: 3.1005e-05 eta: 3 days, 23:43:35 time: 2.6075 data_time: 0.1458 memory: 26533 grad_norm: 0.7500 loss: 1.1253 caption_loss_cls: 2.4090 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7997 detection_loss_cls: 0.0536 detection_loss_reg: 0.4469 semantic_segmentation_loss_cls: 0.0134 grounding_loss_reg: 3.4744 2023/10/23 01:02:29 - mmengine - INFO - Iter(train) [186500/320000] base_lr: 7.5534e-05 lr: 3.0968e-05 eta: 3 days, 23:38:18 time: 2.6096 data_time: 0.1459 memory: 25855 grad_norm: 0.7493 loss: 1.1267 caption_loss_cls: 2.4078 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8006 detection_loss_cls: 0.0536 detection_loss_reg: 0.4469 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4740 2023/10/23 01:02:29 - mmengine - INFO - Saving checkpoint at 186500 iterations 2023/10/23 01:07:50 - mmengine - INFO - Iter(train) [186600/320000] base_lr: 7.5440e-05 lr: 3.0931e-05 eta: 3 days, 23:39:04 time: 2.6136 data_time: 0.1463 memory: 26533 grad_norm: 0.7500 loss: 1.1342 caption_loss_cls: 2.4091 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.8005 detection_loss_cls: 0.0536 detection_loss_reg: 0.4475 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4732 2023/10/23 01:12:08 - mmengine - INFO - Iter(train) [186700/320000] base_lr: 7.5347e-05 lr: 3.0894e-05 eta: 3 days, 23:34:48 time: 2.6145 data_time: 0.1463 memory: 26533 grad_norm: 0.7474 loss: 1.1301 caption_loss_cls: 2.4097 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.8006 detection_loss_cls: 0.0535 detection_loss_reg: 0.4471 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4720 2023/10/23 01:16:03 - mmengine - INFO - Iter(train) [186800/320000] base_lr: 7.5253e-05 lr: 3.0857e-05 eta: 3 days, 23:28:38 time: 2.6247 data_time: 0.1463 memory: 25855 grad_norm: 0.7442 loss: 1.1252 caption_loss_cls: 2.4098 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.8015 detection_loss_cls: 0.0535 detection_loss_reg: 0.4473 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4700 2023/10/23 01:20:17 - mmengine - INFO - Iter(train) [186900/320000] base_lr: 7.5159e-05 lr: 3.0820e-05 eta: 3 days, 23:23:58 time: 2.6216 data_time: 0.1462 memory: 26533 grad_norm: 0.7462 loss: 1.1243 caption_loss_cls: 2.4100 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.8020 detection_loss_cls: 0.0536 detection_loss_reg: 0.4471 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4684 2023/10/23 01:24:30 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/23 01:24:30 - mmengine - INFO - Iter(train) [187000/320000] base_lr: 7.5065e-05 lr: 3.0783e-05 eta: 3 days, 23:19:16 time: 2.6226 data_time: 0.1463 memory: 25855 grad_norm: 0.7512 loss: 1.1314 caption_loss_cls: 2.4078 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.8027 detection_loss_cls: 0.0537 detection_loss_reg: 0.4476 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4674 2023/10/23 01:24:30 - mmengine - INFO - Saving checkpoint at 187000 iterations 2023/10/23 01:30:04 - mmengine - INFO - Iter(train) [187100/320000] base_lr: 7.4971e-05 lr: 3.0746e-05 eta: 3 days, 23:20:59 time: 2.6345 data_time: 0.1467 memory: 26533 grad_norm: 0.7480 loss: 1.1294 caption_loss_cls: 2.4086 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3008 instance_segmentation_loss_poly: 0.8035 detection_loss_cls: 0.0538 detection_loss_reg: 0.4479 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4672 2023/10/23 01:33:56 - mmengine - INFO - Iter(train) [187200/320000] base_lr: 7.4878e-05 lr: 3.0709e-05 eta: 3 days, 23:14:34 time: 2.6354 data_time: 0.1468 memory: 25855 grad_norm: 0.7519 loss: 1.1313 caption_loss_cls: 2.4066 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3009 instance_segmentation_loss_poly: 0.8037 detection_loss_cls: 0.0538 detection_loss_reg: 0.4471 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4653 2023/10/23 01:38:04 - mmengine - INFO - Iter(train) [187300/320000] base_lr: 7.4784e-05 lr: 3.0672e-05 eta: 3 days, 23:09:31 time: 2.6316 data_time: 0.1469 memory: 26533 grad_norm: 0.7535 loss: 1.1352 caption_loss_cls: 2.4085 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3015 instance_segmentation_loss_poly: 0.8051 detection_loss_cls: 0.0537 detection_loss_reg: 0.4466 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4652 2023/10/23 01:42:41 - mmengine - INFO - Iter(train) [187400/320000] base_lr: 7.4690e-05 lr: 3.0635e-05 eta: 3 days, 23:06:41 time: 2.6367 data_time: 0.1469 memory: 25855 grad_norm: 0.7545 loss: 1.1376 caption_loss_cls: 2.4076 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3016 instance_segmentation_loss_poly: 0.8050 detection_loss_cls: 0.0536 detection_loss_reg: 0.4458 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4647 2023/10/23 01:46:55 - mmengine - INFO - Iter(train) [187500/320000] base_lr: 7.4596e-05 lr: 3.0599e-05 eta: 3 days, 23:02:00 time: 2.6317 data_time: 0.1468 memory: 25855 grad_norm: 0.7562 loss: 1.1359 caption_loss_cls: 2.4090 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3011 instance_segmentation_loss_poly: 0.8036 detection_loss_cls: 0.0535 detection_loss_reg: 0.4456 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4639 2023/10/23 01:46:55 - mmengine - INFO - Saving checkpoint at 187500 iterations 2023/10/23 01:52:06 - mmengine - INFO - Iter(train) [187600/320000] base_lr: 7.4503e-05 lr: 3.0562e-05 eta: 3 days, 23:01:49 time: 2.6314 data_time: 0.1463 memory: 25855 grad_norm: 0.7556 loss: 1.1365 caption_loss_cls: 2.4097 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3012 instance_segmentation_loss_poly: 0.8039 detection_loss_cls: 0.0535 detection_loss_reg: 0.4459 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4631 2023/10/23 01:56:06 - mmengine - INFO - Iter(train) [187700/320000] base_lr: 7.4409e-05 lr: 3.0525e-05 eta: 3 days, 22:56:06 time: 2.6275 data_time: 0.1462 memory: 25855 grad_norm: 0.7576 loss: 1.1379 caption_loss_cls: 2.4087 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3009 instance_segmentation_loss_poly: 0.8039 detection_loss_cls: 0.0535 detection_loss_reg: 0.4457 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4626 2023/10/23 02:00:15 - mmengine - INFO - Iter(train) [187800/320000] base_lr: 7.4315e-05 lr: 3.0488e-05 eta: 3 days, 22:51:05 time: 2.6261 data_time: 0.1461 memory: 26533 grad_norm: 0.7573 loss: 1.1420 caption_loss_cls: 2.4053 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3008 instance_segmentation_loss_poly: 0.8036 detection_loss_cls: 0.0534 detection_loss_reg: 0.4453 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4622 2023/10/23 02:05:08 - mmengine - INFO - Iter(train) [187900/320000] base_lr: 7.4222e-05 lr: 3.0451e-05 eta: 3 days, 22:49:25 time: 2.6367 data_time: 0.1462 memory: 26533 grad_norm: 0.7535 loss: 1.1362 caption_loss_cls: 2.4022 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.8024 detection_loss_cls: 0.0534 detection_loss_reg: 0.4448 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4599 2023/10/23 02:09:25 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/23 02:09:25 - mmengine - INFO - Iter(train) [188000/320000] base_lr: 7.4128e-05 lr: 3.0414e-05 eta: 3 days, 22:44:57 time: 2.6366 data_time: 0.1463 memory: 26533 grad_norm: 0.7596 loss: 1.1340 caption_loss_cls: 2.4033 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.8022 detection_loss_cls: 0.0534 detection_loss_reg: 0.4440 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4564 2023/10/23 02:09:25 - mmengine - INFO - Saving checkpoint at 188000 iterations 2023/10/23 02:14:23 - mmengine - INFO - Iter(train) [188100/320000] base_lr: 7.4035e-05 lr: 3.0377e-05 eta: 3 days, 22:43:40 time: 2.6409 data_time: 0.1459 memory: 26533 grad_norm: 0.7551 loss: 1.1269 caption_loss_cls: 2.4020 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.8027 detection_loss_cls: 0.0534 detection_loss_reg: 0.4434 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4563 2023/10/23 02:18:52 - mmengine - INFO - Iter(train) [188200/320000] base_lr: 7.3941e-05 lr: 3.0341e-05 eta: 3 days, 22:40:09 time: 2.6521 data_time: 0.1460 memory: 26533 grad_norm: 0.7562 loss: 1.1271 caption_loss_cls: 2.4012 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_reg: 0.3006 instance_segmentation_loss_poly: 0.8029 detection_loss_cls: 0.0532 detection_loss_reg: 0.4427 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4555 2023/10/23 02:23:12 - mmengine - INFO - Iter(train) [188300/320000] base_lr: 7.3848e-05 lr: 3.0304e-05 eta: 3 days, 22:35:57 time: 2.6579 data_time: 0.1461 memory: 25855 grad_norm: 0.7531 loss: 1.1276 caption_loss_cls: 2.3991 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3007 instance_segmentation_loss_poly: 0.8032 detection_loss_cls: 0.0531 detection_loss_reg: 0.4424 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4554 2023/10/23 02:27:31 - mmengine - INFO - Iter(train) [188400/320000] base_lr: 7.3754e-05 lr: 3.0267e-05 eta: 3 days, 22:31:39 time: 2.6614 data_time: 0.1462 memory: 25855 grad_norm: 0.7547 loss: 1.1299 caption_loss_cls: 2.3989 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_reg: 0.3011 instance_segmentation_loss_poly: 0.8034 detection_loss_cls: 0.0532 detection_loss_reg: 0.4421 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4557 2023/10/23 02:31:27 - mmengine - INFO - Iter(train) [188500/320000] base_lr: 7.3661e-05 lr: 3.0230e-05 eta: 3 days, 22:25:38 time: 2.6506 data_time: 0.1465 memory: 26533 grad_norm: 0.7636 loss: 1.1319 caption_loss_cls: 2.4014 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.8021 detection_loss_cls: 0.0529 detection_loss_reg: 0.4410 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4549 2023/10/23 02:31:27 - mmengine - INFO - Saving checkpoint at 188500 iterations 2023/10/23 02:36:26 - mmengine - INFO - Iter(train) [188600/320000] base_lr: 7.3568e-05 lr: 3.0193e-05 eta: 3 days, 22:24:22 time: 2.6531 data_time: 0.1462 memory: 26533 grad_norm: 0.7655 loss: 1.1349 caption_loss_cls: 2.4022 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.8023 detection_loss_cls: 0.0529 detection_loss_reg: 0.4398 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4523 2023/10/23 02:40:50 - mmengine - INFO - Iter(train) [188700/320000] base_lr: 7.3474e-05 lr: 3.0156e-05 eta: 3 days, 22:20:23 time: 2.6579 data_time: 0.1459 memory: 26533 grad_norm: 0.7651 loss: 1.1324 caption_loss_cls: 2.4032 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.8017 detection_loss_cls: 0.0528 detection_loss_reg: 0.4387 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4518 2023/10/23 02:45:05 - mmengine - INFO - Iter(train) [188800/320000] base_lr: 7.3381e-05 lr: 3.0120e-05 eta: 3 days, 22:15:50 time: 2.6544 data_time: 0.1458 memory: 25855 grad_norm: 0.7680 loss: 1.1353 caption_loss_cls: 2.4041 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.8020 detection_loss_cls: 0.0530 detection_loss_reg: 0.4392 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4499 2023/10/23 02:49:13 - mmengine - INFO - Iter(train) [188900/320000] base_lr: 7.3287e-05 lr: 3.0083e-05 eta: 3 days, 22:10:43 time: 2.6519 data_time: 0.1459 memory: 26533 grad_norm: 0.7736 loss: 1.1416 caption_loss_cls: 2.4057 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.8013 detection_loss_cls: 0.0530 detection_loss_reg: 0.4396 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4479 2023/10/23 02:53:16 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/23 02:53:16 - mmengine - INFO - Iter(train) [189000/320000] base_lr: 7.3194e-05 lr: 3.0046e-05 eta: 3 days, 22:05:18 time: 2.6521 data_time: 0.1459 memory: 26533 grad_norm: 0.7732 loss: 1.1450 caption_loss_cls: 2.4072 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_reg: 0.2985 instance_segmentation_loss_poly: 0.8004 detection_loss_cls: 0.0529 detection_loss_reg: 0.4391 semantic_segmentation_loss_cls: 0.0133 grounding_loss_reg: 3.4476 2023/10/23 02:53:16 - mmengine - INFO - Saving checkpoint at 189000 iterations 2023/10/23 02:58:02 - mmengine - INFO - Iter(train) [189100/320000] base_lr: 7.3101e-05 lr: 3.0009e-05 eta: 3 days, 22:02:57 time: 2.6448 data_time: 0.1464 memory: 25855 grad_norm: 0.7746 loss: 1.1518 caption_loss_cls: 2.4055 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7997 detection_loss_cls: 0.0529 detection_loss_reg: 0.4388 semantic_segmentation_loss_cls: 0.0129 grounding_loss_reg: 3.4474 2023/10/23 03:02:21 - mmengine - INFO - Iter(train) [189200/320000] base_lr: 7.3008e-05 lr: 2.9973e-05 eta: 3 days, 21:58:40 time: 2.6416 data_time: 0.1464 memory: 26533 grad_norm: 0.7742 loss: 1.1488 caption_loss_cls: 2.4064 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7970 detection_loss_cls: 0.0529 detection_loss_reg: 0.4388 semantic_segmentation_loss_cls: 0.0129 grounding_loss_reg: 3.4453 2023/10/23 03:06:57 - mmengine - INFO - Iter(train) [189300/320000] base_lr: 7.2914e-05 lr: 2.9936e-05 eta: 3 days, 21:55:37 time: 2.6443 data_time: 0.1465 memory: 26533 grad_norm: 0.7695 loss: 1.1425 caption_loss_cls: 2.4072 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7962 detection_loss_cls: 0.0527 detection_loss_reg: 0.4382 semantic_segmentation_loss_cls: 0.0128 grounding_loss_reg: 3.4442 2023/10/23 03:11:13 - mmengine - INFO - Iter(train) [189400/320000] base_lr: 7.2821e-05 lr: 2.9899e-05 eta: 3 days, 21:51:08 time: 2.6518 data_time: 0.1466 memory: 26533 grad_norm: 0.7678 loss: 1.1385 caption_loss_cls: 2.4067 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7964 detection_loss_cls: 0.0523 detection_loss_reg: 0.4374 semantic_segmentation_loss_cls: 0.0128 grounding_loss_reg: 3.4424 2023/10/23 03:14:54 - mmengine - INFO - Iter(train) [189500/320000] base_lr: 7.2728e-05 lr: 2.9863e-05 eta: 3 days, 21:44:06 time: 2.6426 data_time: 0.1465 memory: 25855 grad_norm: 0.7720 loss: 1.1476 caption_loss_cls: 2.4080 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7966 detection_loss_cls: 0.0523 detection_loss_reg: 0.4374 semantic_segmentation_loss_cls: 0.0128 grounding_loss_reg: 3.4405 2023/10/23 03:14:54 - mmengine - INFO - Saving checkpoint at 189500 iterations 2023/10/23 03:20:10 - mmengine - INFO - Iter(train) [189600/320000] base_lr: 7.2635e-05 lr: 2.9826e-05 eta: 3 days, 21:43:50 time: 2.6421 data_time: 0.1464 memory: 26533 grad_norm: 0.7720 loss: 1.1441 caption_loss_cls: 2.4050 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7967 detection_loss_cls: 0.0523 detection_loss_reg: 0.4365 semantic_segmentation_loss_cls: 0.0127 grounding_loss_reg: 3.4399 2023/10/23 03:23:36 - mmengine - INFO - Iter(train) [189700/320000] base_lr: 7.2542e-05 lr: 2.9789e-05 eta: 3 days, 21:35:47 time: 2.6357 data_time: 0.1463 memory: 26533 grad_norm: 0.7680 loss: 1.1413 caption_loss_cls: 2.4034 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7972 detection_loss_cls: 0.0523 detection_loss_reg: 0.4364 semantic_segmentation_loss_cls: 0.0127 grounding_loss_reg: 3.4394 2023/10/23 03:27:51 - mmengine - INFO - Iter(train) [189800/320000] base_lr: 7.2449e-05 lr: 2.9753e-05 eta: 3 days, 21:31:14 time: 2.6418 data_time: 0.1464 memory: 26533 grad_norm: 0.7679 loss: 1.1408 caption_loss_cls: 2.4019 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7977 detection_loss_cls: 0.0523 detection_loss_reg: 0.4359 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4390 2023/10/23 03:32:21 - mmengine - INFO - Iter(train) [189900/320000] base_lr: 7.2356e-05 lr: 2.9716e-05 eta: 3 days, 21:27:44 time: 2.6481 data_time: 0.1465 memory: 25855 grad_norm: 0.7658 loss: 1.1408 caption_loss_cls: 2.4025 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7965 detection_loss_cls: 0.0521 detection_loss_reg: 0.4357 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4386 2023/10/23 03:36:39 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/23 03:36:39 - mmengine - INFO - Iter(train) [190000/320000] base_lr: 7.2263e-05 lr: 2.9679e-05 eta: 3 days, 21:23:22 time: 2.6495 data_time: 0.1465 memory: 26533 grad_norm: 0.7650 loss: 1.1412 caption_loss_cls: 2.4019 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7952 detection_loss_cls: 0.0522 detection_loss_reg: 0.4362 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4392 2023/10/23 03:36:39 - mmengine - INFO - Saving checkpoint at 190000 iterations 2023/10/23 03:41:46 - mmengine - INFO - Iter(train) [190100/320000] base_lr: 7.2170e-05 lr: 2.9643e-05 eta: 3 days, 21:22:26 time: 2.6462 data_time: 0.1464 memory: 26533 grad_norm: 0.7666 loss: 1.1448 caption_loss_cls: 2.4002 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7963 detection_loss_cls: 0.0521 detection_loss_reg: 0.4353 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4385 2023/10/23 03:46:10 - mmengine - INFO - Iter(train) [190200/320000] base_lr: 7.2077e-05 lr: 2.9606e-05 eta: 3 days, 21:18:30 time: 2.6453 data_time: 0.1466 memory: 26533 grad_norm: 0.7606 loss: 1.1378 caption_loss_cls: 2.3997 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7955 detection_loss_cls: 0.0521 detection_loss_reg: 0.4343 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4376 2023/10/23 03:50:14 - mmengine - INFO - Iter(train) [190300/320000] base_lr: 7.1984e-05 lr: 2.9569e-05 eta: 3 days, 21:13:10 time: 2.6392 data_time: 0.1456 memory: 26533 grad_norm: 0.7581 loss: 1.1321 caption_loss_cls: 2.3964 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7949 detection_loss_cls: 0.0521 detection_loss_reg: 0.4341 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4375 2023/10/23 03:54:11 - mmengine - INFO - Iter(train) [190400/320000] base_lr: 7.1891e-05 lr: 2.9533e-05 eta: 3 days, 21:07:19 time: 2.6365 data_time: 0.1457 memory: 26533 grad_norm: 0.7606 loss: 1.1311 caption_loss_cls: 2.3960 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7950 detection_loss_cls: 0.0522 detection_loss_reg: 0.4343 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4360 2023/10/23 03:58:06 - mmengine - INFO - Iter(train) [190500/320000] base_lr: 7.1798e-05 lr: 2.9496e-05 eta: 3 days, 21:01:26 time: 2.6340 data_time: 0.1457 memory: 25855 grad_norm: 0.7637 loss: 1.1307 caption_loss_cls: 2.3959 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7950 detection_loss_cls: 0.0522 detection_loss_reg: 0.4348 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4331 2023/10/23 03:58:06 - mmengine - INFO - Saving checkpoint at 190500 iterations 2023/10/23 04:03:03 - mmengine - INFO - Iter(train) [190600/320000] base_lr: 7.1705e-05 lr: 2.9460e-05 eta: 3 days, 20:59:41 time: 2.6278 data_time: 0.1456 memory: 25855 grad_norm: 0.7726 loss: 1.1314 caption_loss_cls: 2.3979 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7946 detection_loss_cls: 0.0523 detection_loss_reg: 0.4359 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4326 2023/10/23 04:06:55 - mmengine - INFO - Iter(train) [190700/320000] base_lr: 7.1612e-05 lr: 2.9423e-05 eta: 3 days, 20:53:34 time: 2.6212 data_time: 0.1459 memory: 26533 grad_norm: 0.7776 loss: 1.1353 caption_loss_cls: 2.3971 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7944 detection_loss_cls: 0.0522 detection_loss_reg: 0.4355 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4321 2023/10/23 04:10:38 - mmengine - INFO - Iter(train) [190800/320000] base_lr: 7.1520e-05 lr: 2.9386e-05 eta: 3 days, 20:46:51 time: 2.6183 data_time: 0.1459 memory: 25855 grad_norm: 0.7765 loss: 1.1348 caption_loss_cls: 2.3928 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7940 detection_loss_cls: 0.0521 detection_loss_reg: 0.4354 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4309 2023/10/23 04:14:39 - mmengine - INFO - Iter(train) [190900/320000] base_lr: 7.1427e-05 lr: 2.9350e-05 eta: 3 days, 20:41:21 time: 2.6152 data_time: 0.1458 memory: 25855 grad_norm: 0.7798 loss: 1.1363 caption_loss_cls: 2.3910 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7938 detection_loss_cls: 0.0520 detection_loss_reg: 0.4343 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4306 2023/10/23 04:19:17 - mmengine - INFO - Exp name: univision_joint_all_large_20231022_042732 2023/10/23 04:19:17 - mmengine - INFO - Iter(train) [191000/320000] base_lr: 7.1334e-05 lr: 2.9313e-05 eta: 3 days, 20:38:21 time: 2.6214 data_time: 0.1458 memory: 26533 grad_norm: 0.7744 loss: 1.1318 caption_loss_cls: 2.3925 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7941 detection_loss_cls: 0.0522 detection_loss_reg: 0.4343 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4294 2023/10/23 04:19:17 - mmengine - INFO - Saving checkpoint at 191000 iterations 2023/11/01 21:18:46 - mmengine - INFO - Iter(train) [191100/320000] base_lr: 7.1241e-05 lr: 2.9277e-05 eta: 2 days, 2:48:34 time: 2.5733 data_time: 0.1297 memory: 25856 grad_norm: 0.7886 loss: 1.1384 caption_loss_cls: 2.3919 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.7935 detection_loss_cls: 0.0522 detection_loss_reg: 0.4342 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4260 2023/11/01 21:21:30 - mmengine - INFO - Iter(train) [191200/320000] base_lr: 7.1149e-05 lr: 2.9240e-05 eta: 2 days, 6:49:37 time: 2.5565 data_time: 0.1302 memory: 25856 grad_norm: 0.7990 loss: 1.1444 caption_loss_cls: 2.3940 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7931 detection_loss_cls: 0.0523 detection_loss_reg: 0.4347 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4198 2023/11/01 21:24:24 - mmengine - INFO - Iter(train) [191300/320000] base_lr: 7.1056e-05 lr: 2.9204e-05 eta: 2 days, 9:11:44 time: 2.5378 data_time: 0.1301 memory: 26534 grad_norm: 0.8108 loss: 1.1472 caption_loss_cls: 2.3936 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7927 detection_loss_cls: 0.0523 detection_loss_reg: 0.4348 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4138 2023/11/01 21:27:04 - mmengine - INFO - Iter(train) [191400/320000] base_lr: 7.0963e-05 lr: 2.9167e-05 eta: 2 days, 9:11:50 time: 2.5086 data_time: 0.1300 memory: 26534 grad_norm: 0.8286 loss: 1.1566 caption_loss_cls: 2.3937 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7926 detection_loss_cls: 0.0525 detection_loss_reg: 0.4354 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4104 2023/11/01 21:30:08 - mmengine - INFO - Iter(train) [191500/320000] base_lr: 7.0871e-05 lr: 2.9131e-05 eta: 2 days, 10:50:38 time: 2.4913 data_time: 0.1300 memory: 26534 grad_norm: 0.8407 loss: 1.1653 caption_loss_cls: 2.3944 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7931 detection_loss_cls: 0.0524 detection_loss_reg: 0.4348 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4102 2023/11/01 21:30:08 - mmengine - INFO - Saving checkpoint at 191500 iterations 2023/11/01 21:33:48 - mmengine - INFO - Iter(train) [191600/320000] base_lr: 7.0778e-05 lr: 2.9094e-05 eta: 2 days, 14:03:31 time: 2.4683 data_time: 0.1298 memory: 26534 grad_norm: 0.8610 loss: 1.1750 caption_loss_cls: 2.3954 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7927 detection_loss_cls: 0.0524 detection_loss_reg: 0.4354 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4057 2023/11/01 21:37:21 - mmengine - INFO - Iter(train) [191700/320000] base_lr: 7.0686e-05 lr: 2.9058e-05 eta: 2 days, 15:59:52 time: 2.4615 data_time: 0.1299 memory: 25856 grad_norm: 0.8715 loss: 1.1791 caption_loss_cls: 2.3934 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7922 detection_loss_cls: 0.0523 detection_loss_reg: 0.4349 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.4013 2023/11/01 21:40:11 - mmengine - INFO - Iter(train) [191800/320000] base_lr: 7.0593e-05 lr: 2.9022e-05 eta: 2 days, 15:31:38 time: 2.4418 data_time: 0.1298 memory: 25856 grad_norm: 0.8838 loss: 1.1819 caption_loss_cls: 2.3935 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.7936 detection_loss_cls: 0.0522 detection_loss_reg: 0.4346 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.3953 2023/11/01 21:42:48 - mmengine - INFO - Iter(train) [191900/320000] base_lr: 7.0501e-05 lr: 2.8985e-05 eta: 2 days, 14:36:29 time: 2.4077 data_time: 0.1295 memory: 26534 grad_norm: 0.8996 loss: 1.1926 caption_loss_cls: 2.3950 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7931 detection_loss_cls: 0.0522 detection_loss_reg: 0.4350 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.3901 2023/11/01 21:45:59 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/01 21:45:59 - mmengine - INFO - Iter(train) [192000/320000] base_lr: 7.0408e-05 lr: 2.8949e-05 eta: 2 days, 15:06:56 time: 2.3915 data_time: 0.1294 memory: 26534 grad_norm: 0.9155 loss: 1.2037 caption_loss_cls: 2.3952 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7935 detection_loss_cls: 0.0521 detection_loss_reg: 0.4354 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.3865 2023/11/01 21:45:59 - mmengine - INFO - Saving checkpoint at 192000 iterations 2023/11/01 21:50:20 - mmengine - INFO - Iter(train) [192100/320000] base_lr: 7.0316e-05 lr: 2.8912e-05 eta: 2 days, 17:44:55 time: 2.3820 data_time: 0.1292 memory: 25856 grad_norm: 0.9303 loss: 1.2085 caption_loss_cls: 2.3954 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7940 detection_loss_cls: 0.0520 detection_loss_reg: 0.4344 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.3841 2023/11/01 21:53:22 - mmengine - INFO - Iter(train) [192200/320000] base_lr: 7.0223e-05 lr: 2.8876e-05 eta: 2 days, 17:36:06 time: 2.3602 data_time: 0.1290 memory: 26534 grad_norm: 0.9379 loss: 1.2083 caption_loss_cls: 2.3939 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2963 instance_segmentation_loss_poly: 0.7934 detection_loss_cls: 0.0522 detection_loss_reg: 0.4359 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3810 2023/11/01 21:56:37 - mmengine - INFO - Iter(train) [192300/320000] base_lr: 7.0131e-05 lr: 2.8840e-05 eta: 2 days, 17:50:43 time: 2.3441 data_time: 0.1290 memory: 25856 grad_norm: 0.9517 loss: 1.2131 caption_loss_cls: 2.3909 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7924 detection_loss_cls: 0.0522 detection_loss_reg: 0.4357 semantic_segmentation_loss_cls: 0.0126 grounding_loss_reg: 3.3763 2023/11/01 21:59:47 - mmengine - INFO - Iter(train) [192400/320000] base_lr: 7.0039e-05 lr: 2.8803e-05 eta: 2 days, 17:52:58 time: 2.3267 data_time: 0.1289 memory: 26534 grad_norm: 0.9689 loss: 1.2226 caption_loss_cls: 2.3894 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7936 detection_loss_cls: 0.0523 detection_loss_reg: 0.4359 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3739 2023/11/01 22:02:54 - mmengine - INFO - Iter(train) [192500/320000] base_lr: 6.9946e-05 lr: 2.8767e-05 eta: 2 days, 17:51:49 time: 2.3146 data_time: 0.1281 memory: 25856 grad_norm: 0.9717 loss: 1.2248 caption_loss_cls: 2.3878 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7945 detection_loss_cls: 0.0524 detection_loss_reg: 0.4364 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3715 2023/11/01 22:02:54 - mmengine - INFO - Saving checkpoint at 192500 iterations 2023/11/01 22:07:06 - mmengine - INFO - Iter(train) [192600/320000] base_lr: 6.9854e-05 lr: 2.8730e-05 eta: 2 days, 19:16:56 time: 2.3028 data_time: 0.1277 memory: 25856 grad_norm: 0.9790 loss: 1.2240 caption_loss_cls: 2.3876 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7949 detection_loss_cls: 0.0523 detection_loss_reg: 0.4357 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3673 2023/11/01 22:10:33 - mmengine - INFO - Iter(train) [192700/320000] base_lr: 6.9762e-05 lr: 2.8694e-05 eta: 2 days, 19:34:28 time: 2.2887 data_time: 0.1276 memory: 25856 grad_norm: 0.9942 loss: 1.2327 caption_loss_cls: 2.3875 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7960 detection_loss_cls: 0.0523 detection_loss_reg: 0.4360 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3654 2023/11/01 22:13:50 - mmengine - INFO - Iter(train) [192800/320000] base_lr: 6.9670e-05 lr: 2.8658e-05 eta: 2 days, 19:38:18 time: 2.2742 data_time: 0.1270 memory: 26534 grad_norm: 1.0102 loss: 1.2395 caption_loss_cls: 2.3877 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7958 detection_loss_cls: 0.0525 detection_loss_reg: 0.4362 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3626 2023/11/01 22:17:22 - mmengine - INFO - Iter(train) [192900/320000] base_lr: 6.9578e-05 lr: 2.8621e-05 eta: 2 days, 19:57:43 time: 2.2652 data_time: 0.1269 memory: 25856 grad_norm: 1.0180 loss: 1.2422 caption_loss_cls: 2.3857 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7975 detection_loss_cls: 0.0526 detection_loss_reg: 0.4376 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3592 2023/11/01 22:20:22 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/01 22:20:22 - mmengine - INFO - Iter(train) [193000/320000] base_lr: 6.9485e-05 lr: 2.8585e-05 eta: 2 days, 19:40:54 time: 2.2492 data_time: 0.1268 memory: 26534 grad_norm: 1.0353 loss: 1.2482 caption_loss_cls: 2.3864 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7967 detection_loss_cls: 0.0527 detection_loss_reg: 0.4378 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3571 2023/11/01 22:20:22 - mmengine - INFO - Saving checkpoint at 193000 iterations 2023/11/01 22:24:42 - mmengine - INFO - Iter(train) [193100/320000] base_lr: 6.9393e-05 lr: 2.8549e-05 eta: 2 days, 20:46:25 time: 2.2429 data_time: 0.1257 memory: 26534 grad_norm: 1.0472 loss: 1.2549 caption_loss_cls: 2.3844 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7991 detection_loss_cls: 0.0525 detection_loss_reg: 0.4365 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3550 2023/11/01 22:28:09 - mmengine - INFO - Iter(train) [193200/320000] base_lr: 6.9301e-05 lr: 2.8513e-05 eta: 2 days, 20:54:19 time: 2.2298 data_time: 0.1257 memory: 26534 grad_norm: 1.0635 loss: 1.2628 caption_loss_cls: 2.3813 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7992 detection_loss_cls: 0.0524 detection_loss_reg: 0.4361 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3512 2023/11/01 22:31:39 - mmengine - INFO - Iter(train) [193300/320000] base_lr: 6.9209e-05 lr: 2.8476e-05 eta: 2 days, 21:05:04 time: 2.2134 data_time: 0.1255 memory: 26534 grad_norm: 1.0931 loss: 1.2673 caption_loss_cls: 2.3812 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.7994 detection_loss_cls: 0.0525 detection_loss_reg: 0.4363 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3487 2023/11/01 22:35:46 - mmengine - INFO - Iter(train) [193400/320000] base_lr: 6.9117e-05 lr: 2.8440e-05 eta: 2 days, 21:46:14 time: 2.2111 data_time: 0.1253 memory: 25856 grad_norm: 1.1063 loss: 1.2749 caption_loss_cls: 2.3811 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7984 detection_loss_cls: 0.0524 detection_loss_reg: 0.4357 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3458 2023/11/01 22:39:49 - mmengine - INFO - Iter(train) [193500/320000] base_lr: 6.9025e-05 lr: 2.8404e-05 eta: 2 days, 22:19:58 time: 2.2165 data_time: 0.1253 memory: 26534 grad_norm: 1.1193 loss: 1.2790 caption_loss_cls: 2.3799 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7990 detection_loss_cls: 0.0525 detection_loss_reg: 0.4363 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3429 2023/11/01 22:39:49 - mmengine - INFO - Saving checkpoint at 193500 iterations 2023/11/01 22:44:15 - mmengine - INFO - Iter(train) [193600/320000] base_lr: 6.8933e-05 lr: 2.8368e-05 eta: 2 days, 23:10:10 time: 2.2042 data_time: 0.1247 memory: 26534 grad_norm: 1.1385 loss: 1.2930 caption_loss_cls: 2.3792 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2982 instance_segmentation_loss_poly: 0.7975 detection_loss_cls: 0.0526 detection_loss_reg: 0.4367 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3409 2023/11/01 22:47:44 - mmengine - INFO - Iter(train) [193700/320000] base_lr: 6.8841e-05 lr: 2.8331e-05 eta: 2 days, 23:11:39 time: 2.2049 data_time: 0.1248 memory: 26534 grad_norm: 1.1488 loss: 1.2992 caption_loss_cls: 2.3793 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7971 detection_loss_cls: 0.0525 detection_loss_reg: 0.4363 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3393 2023/11/01 22:51:15 - mmengine - INFO - Iter(train) [193800/320000] base_lr: 6.8749e-05 lr: 2.8295e-05 eta: 2 days, 23:14:41 time: 2.1941 data_time: 0.1246 memory: 25856 grad_norm: 1.1605 loss: 1.3052 caption_loss_cls: 2.3804 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7969 detection_loss_cls: 0.0526 detection_loss_reg: 0.4366 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3351 2023/11/01 22:55:02 - mmengine - INFO - Iter(train) [193900/320000] base_lr: 6.8657e-05 lr: 2.8259e-05 eta: 2 days, 23:27:54 time: 2.1831 data_time: 0.1245 memory: 26534 grad_norm: 1.1720 loss: 1.3129 caption_loss_cls: 2.3810 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7963 detection_loss_cls: 0.0527 detection_loss_reg: 0.4374 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3335 2023/11/01 22:58:36 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/01 22:58:36 - mmengine - INFO - Iter(train) [194000/320000] base_lr: 6.8566e-05 lr: 2.8223e-05 eta: 2 days, 23:31:57 time: 2.1723 data_time: 0.1244 memory: 26534 grad_norm: 1.1829 loss: 1.3231 caption_loss_cls: 2.3836 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7970 detection_loss_cls: 0.0526 detection_loss_reg: 0.4377 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3303 2023/11/01 22:58:36 - mmengine - INFO - Saving checkpoint at 194000 iterations 2023/11/01 23:02:50 - mmengine - INFO - Iter(train) [194100/320000] base_lr: 6.8474e-05 lr: 2.8187e-05 eta: 3 days, 0:02:13 time: 2.1590 data_time: 0.1234 memory: 26534 grad_norm: 1.2104 loss: 1.3358 caption_loss_cls: 2.3838 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_reg: 0.2983 instance_segmentation_loss_poly: 0.7977 detection_loss_cls: 0.0526 detection_loss_reg: 0.4376 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3280 2023/11/01 23:06:27 - mmengine - INFO - Iter(train) [194200/320000] base_lr: 6.8382e-05 lr: 2.8150e-05 eta: 3 days, 0:05:28 time: 2.1470 data_time: 0.1231 memory: 25856 grad_norm: 1.2251 loss: 1.3435 caption_loss_cls: 2.3828 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7979 detection_loss_cls: 0.0526 detection_loss_reg: 0.4372 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3252 2023/11/01 23:10:21 - mmengine - INFO - Iter(train) [194300/320000] base_lr: 6.8290e-05 lr: 2.8114e-05 eta: 3 days, 0:19:49 time: 2.1446 data_time: 0.1231 memory: 25856 grad_norm: 1.2365 loss: 1.3563 caption_loss_cls: 2.3836 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7991 detection_loss_cls: 0.0524 detection_loss_reg: 0.4370 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3242 2023/11/01 23:13:45 - mmengine - INFO - Iter(train) [194400/320000] base_lr: 6.8198e-05 lr: 2.8078e-05 eta: 3 days, 0:14:09 time: 2.1363 data_time: 0.1230 memory: 25856 grad_norm: 1.2486 loss: 1.3630 caption_loss_cls: 2.3838 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7991 detection_loss_cls: 0.0524 detection_loss_reg: 0.4366 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3205 2023/11/01 23:17:09 - mmengine - INFO - Iter(train) [194500/320000] base_lr: 6.8107e-05 lr: 2.8042e-05 eta: 3 days, 0:08:56 time: 2.1285 data_time: 0.1230 memory: 25856 grad_norm: 1.2613 loss: 1.3762 caption_loss_cls: 2.3850 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2993 instance_segmentation_loss_poly: 0.7995 detection_loss_cls: 0.0523 detection_loss_reg: 0.4364 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3172 2023/11/01 23:17:09 - mmengine - INFO - Saving checkpoint at 194500 iterations 2023/11/01 23:21:39 - mmengine - INFO - Iter(train) [194600/320000] base_lr: 6.8015e-05 lr: 2.8006e-05 eta: 3 days, 0:42:23 time: 2.1220 data_time: 0.1218 memory: 25856 grad_norm: 1.2635 loss: 1.3750 caption_loss_cls: 2.3860 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.7991 detection_loss_cls: 0.0523 detection_loss_reg: 0.4367 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3115 2023/11/01 23:25:45 - mmengine - INFO - Iter(train) [194700/320000] base_lr: 6.7923e-05 lr: 2.7970e-05 eta: 3 days, 0:59:37 time: 2.1254 data_time: 0.1215 memory: 25856 grad_norm: 1.2740 loss: 1.3812 caption_loss_cls: 2.3860 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7989 detection_loss_cls: 0.0523 detection_loss_reg: 0.4367 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3082 2023/11/01 23:29:34 - mmengine - INFO - Iter(train) [194800/320000] base_lr: 6.7832e-05 lr: 2.7934e-05 eta: 3 days, 1:06:39 time: 2.1268 data_time: 0.1215 memory: 25856 grad_norm: 1.2859 loss: 1.3874 caption_loss_cls: 2.3867 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2991 instance_segmentation_loss_poly: 0.7993 detection_loss_cls: 0.0522 detection_loss_reg: 0.4362 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3068 2023/11/01 23:33:31 - mmengine - INFO - Iter(train) [194900/320000] base_lr: 6.7740e-05 lr: 2.7898e-05 eta: 3 days, 1:17:28 time: 2.1258 data_time: 0.1215 memory: 26534 grad_norm: 1.2957 loss: 1.3899 caption_loss_cls: 2.3859 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7992 detection_loss_cls: 0.0522 detection_loss_reg: 0.4361 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.3024 2023/11/01 23:37:19 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/01 23:37:19 - mmengine - INFO - Iter(train) [195000/320000] base_lr: 6.7649e-05 lr: 2.7862e-05 eta: 3 days, 1:22:44 time: 2.1133 data_time: 0.1214 memory: 25856 grad_norm: 1.3113 loss: 1.3967 caption_loss_cls: 2.3869 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.7995 detection_loss_cls: 0.0523 detection_loss_reg: 0.4369 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.2976 2023/11/01 23:37:19 - mmengine - INFO - Saving checkpoint at 195000 iterations 2023/11/01 23:42:06 - mmengine - INFO - Iter(train) [195100/320000] base_lr: 6.7557e-05 lr: 2.7826e-05 eta: 3 days, 1:57:45 time: 2.1497 data_time: 0.1357 memory: 26534 grad_norm: 1.3132 loss: 1.3964 caption_loss_cls: 2.3869 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.7989 detection_loss_cls: 0.0522 detection_loss_reg: 0.4366 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.2946 2023/11/01 23:45:59 - mmengine - INFO - Iter(train) [195200/320000] base_lr: 6.7466e-05 lr: 2.7790e-05 eta: 3 days, 2:04:11 time: 2.1668 data_time: 0.1352 memory: 26534 grad_norm: 1.3126 loss: 1.3977 caption_loss_cls: 2.3861 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.7998 detection_loss_cls: 0.0523 detection_loss_reg: 0.4374 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.2912 2023/11/01 23:49:29 - mmengine - INFO - Iter(train) [195300/320000] base_lr: 6.7374e-05 lr: 2.7754e-05 eta: 3 days, 1:58:47 time: 2.1759 data_time: 0.1351 memory: 26534 grad_norm: 1.3158 loss: 1.4038 caption_loss_cls: 2.3871 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.3006 instance_segmentation_loss_poly: 0.7996 detection_loss_cls: 0.0522 detection_loss_reg: 0.4370 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.2863 2023/11/01 23:53:36 - mmengine - INFO - Iter(train) [195400/320000] base_lr: 6.7283e-05 lr: 2.7718e-05 eta: 3 days, 2:11:05 time: 2.1976 data_time: 0.1352 memory: 26534 grad_norm: 1.3035 loss: 1.4012 caption_loss_cls: 2.3839 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.3009 instance_segmentation_loss_poly: 0.7998 detection_loss_cls: 0.0522 detection_loss_reg: 0.4369 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.2856 2023/11/01 23:57:01 - mmengine - INFO - Iter(train) [195500/320000] base_lr: 6.7192e-05 lr: 2.7682e-05 eta: 3 days, 2:03:00 time: 2.2028 data_time: 0.1350 memory: 26534 grad_norm: 1.3065 loss: 1.3986 caption_loss_cls: 2.3828 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.3002 instance_segmentation_loss_poly: 0.7982 detection_loss_cls: 0.0522 detection_loss_reg: 0.4364 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.2815 2023/11/01 23:57:01 - mmengine - INFO - Saving checkpoint at 195500 iterations 2023/11/02 00:01:18 - mmengine - INFO - Iter(train) [195600/320000] base_lr: 6.7100e-05 lr: 2.7646e-05 eta: 3 days, 2:18:58 time: 2.2122 data_time: 0.1345 memory: 25856 grad_norm: 1.2981 loss: 1.3960 caption_loss_cls: 2.3844 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.3001 instance_segmentation_loss_poly: 0.7982 detection_loss_cls: 0.0521 detection_loss_reg: 0.4359 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.2801 2023/11/02 00:05:12 - mmengine - INFO - Iter(train) [195700/320000] base_lr: 6.7009e-05 lr: 2.7610e-05 eta: 3 days, 2:23:37 time: 2.2174 data_time: 0.1345 memory: 25856 grad_norm: 1.2889 loss: 1.3877 caption_loss_cls: 2.3851 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.7985 detection_loss_cls: 0.0521 detection_loss_reg: 0.4360 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.2788 2023/11/02 00:08:42 - mmengine - INFO - Iter(train) [195800/320000] base_lr: 6.6918e-05 lr: 2.7574e-05 eta: 3 days, 2:17:40 time: 2.2274 data_time: 0.1345 memory: 25856 grad_norm: 1.2977 loss: 1.3913 caption_loss_cls: 2.3861 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.3004 instance_segmentation_loss_poly: 0.7991 detection_loss_cls: 0.0521 detection_loss_reg: 0.4360 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.2741 2023/11/02 00:12:34 - mmengine - INFO - Iter(train) [195900/320000] base_lr: 6.6827e-05 lr: 2.7538e-05 eta: 3 days, 2:20:55 time: 2.2462 data_time: 0.1345 memory: 25856 grad_norm: 1.2917 loss: 1.3913 caption_loss_cls: 2.3863 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.7991 detection_loss_cls: 0.0520 detection_loss_reg: 0.4365 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.2711 2023/11/02 00:16:20 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 00:16:20 - mmengine - INFO - Iter(train) [196000/320000] base_lr: 6.6735e-05 lr: 2.7502e-05 eta: 3 days, 2:21:46 time: 2.2549 data_time: 0.1345 memory: 26534 grad_norm: 1.2899 loss: 1.3933 caption_loss_cls: 2.3840 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_reg: 0.3011 instance_segmentation_loss_poly: 0.8003 detection_loss_cls: 0.0521 detection_loss_reg: 0.4369 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.2702 2023/11/02 00:16:20 - mmengine - INFO - Saving checkpoint at 196000 iterations 2023/11/02 00:21:37 - mmengine - INFO - Iter(train) [196100/320000] base_lr: 6.6644e-05 lr: 2.7466e-05 eta: 3 days, 2:58:52 time: 2.2688 data_time: 0.1337 memory: 26534 grad_norm: 1.2890 loss: 1.3967 caption_loss_cls: 2.3854 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.3003 instance_segmentation_loss_poly: 0.7985 detection_loss_cls: 0.0522 detection_loss_reg: 0.4371 semantic_segmentation_loss_cls: 0.0125 grounding_loss_reg: 3.2685 2023/11/02 00:25:23 - mmengine - INFO - Iter(train) [196200/320000] base_lr: 6.6553e-05 lr: 2.7430e-05 eta: 3 days, 2:58:39 time: 2.2800 data_time: 0.1338 memory: 26534 grad_norm: 1.3007 loss: 1.4047 caption_loss_cls: 2.3853 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2995 instance_segmentation_loss_poly: 0.7963 detection_loss_cls: 0.0522 detection_loss_reg: 0.4379 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2648 2023/11/02 00:29:24 - mmengine - INFO - Iter(train) [196300/320000] base_lr: 6.6462e-05 lr: 2.7394e-05 eta: 3 days, 3:03:59 time: 2.2914 data_time: 0.1338 memory: 25856 grad_norm: 1.2981 loss: 1.4022 caption_loss_cls: 2.3816 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7959 detection_loss_cls: 0.0522 detection_loss_reg: 0.4378 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2609 2023/11/02 00:33:09 - mmengine - INFO - Iter(train) [196400/320000] base_lr: 6.6371e-05 lr: 2.7358e-05 eta: 3 days, 3:02:41 time: 2.3002 data_time: 0.1337 memory: 26534 grad_norm: 1.2923 loss: 1.3922 caption_loss_cls: 2.3795 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7955 detection_loss_cls: 0.0520 detection_loss_reg: 0.4367 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2571 2023/11/02 00:36:59 - mmengine - INFO - Iter(train) [196500/320000] base_lr: 6.6280e-05 lr: 2.7322e-05 eta: 3 days, 3:03:13 time: 2.3108 data_time: 0.1338 memory: 26534 grad_norm: 1.2932 loss: 1.3940 caption_loss_cls: 2.3812 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2993 instance_segmentation_loss_poly: 0.7958 detection_loss_cls: 0.0520 detection_loss_reg: 0.4366 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2548 2023/11/02 00:36:59 - mmengine - INFO - Saving checkpoint at 196500 iterations 2023/11/02 00:41:48 - mmengine - INFO - Iter(train) [196600/320000] base_lr: 6.6189e-05 lr: 2.7286e-05 eta: 3 days, 3:25:17 time: 2.3199 data_time: 0.1335 memory: 26534 grad_norm: 1.2931 loss: 1.3996 caption_loss_cls: 2.3826 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.7973 detection_loss_cls: 0.0521 detection_loss_reg: 0.4369 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2522 2023/11/02 00:45:35 - mmengine - INFO - Iter(train) [196700/320000] base_lr: 6.6098e-05 lr: 2.7251e-05 eta: 3 days, 3:24:24 time: 2.3252 data_time: 0.1335 memory: 25856 grad_norm: 1.2940 loss: 1.4013 caption_loss_cls: 2.3839 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.3000 instance_segmentation_loss_poly: 0.7977 detection_loss_cls: 0.0519 detection_loss_reg: 0.4362 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2491 2023/11/02 00:49:24 - mmengine - INFO - Iter(train) [196800/320000] base_lr: 6.6007e-05 lr: 2.7215e-05 eta: 3 days, 3:23:44 time: 2.3331 data_time: 0.1336 memory: 26534 grad_norm: 1.2866 loss: 1.3947 caption_loss_cls: 2.3849 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2998 instance_segmentation_loss_poly: 0.7974 detection_loss_cls: 0.0520 detection_loss_reg: 0.4369 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2469 2023/11/02 00:53:19 - mmengine - INFO - Iter(train) [196900/320000] base_lr: 6.5916e-05 lr: 2.7179e-05 eta: 3 days, 3:25:16 time: 2.3390 data_time: 0.1335 memory: 25856 grad_norm: 1.2864 loss: 1.3916 caption_loss_cls: 2.3865 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2997 instance_segmentation_loss_poly: 0.7966 detection_loss_cls: 0.0519 detection_loss_reg: 0.4362 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2445 2023/11/02 00:57:07 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 00:57:07 - mmengine - INFO - Iter(train) [197000/320000] base_lr: 6.5825e-05 lr: 2.7143e-05 eta: 3 days, 3:24:03 time: 2.3510 data_time: 0.1335 memory: 25856 grad_norm: 1.2828 loss: 1.3872 caption_loss_cls: 2.3869 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2994 instance_segmentation_loss_poly: 0.7966 detection_loss_cls: 0.0519 detection_loss_reg: 0.4353 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2422 2023/11/02 00:57:07 - mmengine - INFO - Saving checkpoint at 197000 iterations 2023/11/02 01:01:53 - mmengine - INFO - Iter(train) [197100/320000] base_lr: 6.5734e-05 lr: 2.7107e-05 eta: 3 days, 3:42:10 time: 2.3574 data_time: 0.1331 memory: 26534 grad_norm: 1.2804 loss: 1.3843 caption_loss_cls: 2.3871 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2993 instance_segmentation_loss_poly: 0.7962 detection_loss_cls: 0.0518 detection_loss_reg: 0.4351 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2391 2023/11/02 01:05:34 - mmengine - INFO - Iter(train) [197200/320000] base_lr: 6.5643e-05 lr: 2.7072e-05 eta: 3 days, 3:38:09 time: 2.3609 data_time: 0.1331 memory: 25856 grad_norm: 1.2796 loss: 1.3861 caption_loss_cls: 2.3871 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2996 instance_segmentation_loss_poly: 0.7966 detection_loss_cls: 0.0519 detection_loss_reg: 0.4351 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2368 2023/11/02 01:09:07 - mmengine - INFO - Iter(train) [197300/320000] base_lr: 6.5553e-05 lr: 2.7036e-05 eta: 3 days, 3:31:44 time: 2.3615 data_time: 0.1330 memory: 26534 grad_norm: 1.2680 loss: 1.3890 caption_loss_cls: 2.3854 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2993 instance_segmentation_loss_poly: 0.7955 detection_loss_cls: 0.0519 detection_loss_reg: 0.4354 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2341 2023/11/02 01:12:35 - mmengine - INFO - Iter(train) [197400/320000] base_lr: 6.5462e-05 lr: 2.7000e-05 eta: 3 days, 3:23:47 time: 2.3519 data_time: 0.1329 memory: 26534 grad_norm: 1.2680 loss: 1.3911 caption_loss_cls: 2.3849 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2993 instance_segmentation_loss_poly: 0.7951 detection_loss_cls: 0.0518 detection_loss_reg: 0.4364 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2314 2023/11/02 01:16:41 - mmengine - INFO - Iter(train) [197500/320000] base_lr: 6.5371e-05 lr: 2.6964e-05 eta: 3 days, 3:27:50 time: 2.3528 data_time: 0.1328 memory: 25856 grad_norm: 1.2661 loss: 1.3858 caption_loss_cls: 2.3839 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7938 detection_loss_cls: 0.0519 detection_loss_reg: 0.4363 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2281 2023/11/02 01:16:41 - mmengine - INFO - Saving checkpoint at 197500 iterations 2023/11/02 01:21:23 - mmengine - INFO - Iter(train) [197600/320000] base_lr: 6.5281e-05 lr: 2.6929e-05 eta: 3 days, 3:42:40 time: 2.3567 data_time: 0.1324 memory: 25856 grad_norm: 1.2620 loss: 1.3810 caption_loss_cls: 2.3832 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7942 detection_loss_cls: 0.0517 detection_loss_reg: 0.4357 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2254 2023/11/02 01:25:16 - mmengine - INFO - Iter(train) [197700/320000] base_lr: 6.5190e-05 lr: 2.6893e-05 eta: 3 days, 3:42:07 time: 2.3627 data_time: 0.1323 memory: 26534 grad_norm: 1.2586 loss: 1.3777 caption_loss_cls: 2.3819 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7953 detection_loss_cls: 0.0518 detection_loss_reg: 0.4363 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2235 2023/11/02 01:29:02 - mmengine - INFO - Iter(train) [197800/320000] base_lr: 6.5099e-05 lr: 2.6857e-05 eta: 3 days, 3:39:21 time: 2.3664 data_time: 0.1323 memory: 25856 grad_norm: 1.2573 loss: 1.3727 caption_loss_cls: 2.3829 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2981 instance_segmentation_loss_poly: 0.7937 detection_loss_cls: 0.0518 detection_loss_reg: 0.4365 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2213 2023/11/02 01:32:59 - mmengine - INFO - Iter(train) [197900/320000] base_lr: 6.5009e-05 lr: 2.6822e-05 eta: 3 days, 3:39:34 time: 2.3689 data_time: 0.1323 memory: 26534 grad_norm: 1.2633 loss: 1.3736 caption_loss_cls: 2.3838 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7945 detection_loss_cls: 0.0518 detection_loss_reg: 0.4367 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2188 2023/11/02 01:36:20 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 01:36:20 - mmengine - INFO - Iter(train) [198000/320000] base_lr: 6.4918e-05 lr: 2.6786e-05 eta: 3 days, 3:29:26 time: 2.3654 data_time: 0.1322 memory: 25856 grad_norm: 1.2689 loss: 1.3726 caption_loss_cls: 2.3837 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7943 detection_loss_cls: 0.0519 detection_loss_reg: 0.4367 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2172 2023/11/02 01:36:20 - mmengine - INFO - Saving checkpoint at 198000 iterations 2023/11/02 01:40:58 - mmengine - INFO - Iter(train) [198100/320000] base_lr: 6.4828e-05 lr: 2.6750e-05 eta: 3 days, 3:41:31 time: 2.3714 data_time: 0.1320 memory: 25856 grad_norm: 1.2605 loss: 1.3691 caption_loss_cls: 2.3815 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7943 detection_loss_cls: 0.0518 detection_loss_reg: 0.4360 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2129 2023/11/02 01:44:20 - mmengine - INFO - Iter(train) [198200/320000] base_lr: 6.4737e-05 lr: 2.6715e-05 eta: 3 days, 3:31:45 time: 2.3679 data_time: 0.1319 memory: 25856 grad_norm: 1.2601 loss: 1.3693 caption_loss_cls: 2.3803 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7942 detection_loss_cls: 0.0518 detection_loss_reg: 0.4352 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2089 2023/11/02 01:48:04 - mmengine - INFO - Iter(train) [198300/320000] base_lr: 6.4647e-05 lr: 2.6679e-05 eta: 3 days, 3:28:11 time: 2.3653 data_time: 0.1318 memory: 25856 grad_norm: 1.2581 loss: 1.3648 caption_loss_cls: 2.3791 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_reg: 0.2992 instance_segmentation_loss_poly: 0.7945 detection_loss_cls: 0.0517 detection_loss_reg: 0.4352 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.2069 2023/11/02 01:52:05 - mmengine - INFO - Iter(train) [198400/320000] base_lr: 6.4557e-05 lr: 2.6643e-05 eta: 3 days, 3:29:33 time: 2.3748 data_time: 0.1319 memory: 25856 grad_norm: 1.2552 loss: 1.3649 caption_loss_cls: 2.3835 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2990 instance_segmentation_loss_poly: 0.7939 detection_loss_cls: 0.0518 detection_loss_reg: 0.4358 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.2050 2023/11/02 01:55:55 - mmengine - INFO - Iter(train) [198500/320000] base_lr: 6.4466e-05 lr: 2.6608e-05 eta: 3 days, 3:27:29 time: 2.3812 data_time: 0.1319 memory: 25856 grad_norm: 1.2623 loss: 1.3687 caption_loss_cls: 2.3850 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7935 detection_loss_cls: 0.0519 detection_loss_reg: 0.4365 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.2041 2023/11/02 01:55:55 - mmengine - INFO - Saving checkpoint at 198500 iterations 2023/11/02 02:00:45 - mmengine - INFO - Iter(train) [198600/320000] base_lr: 6.4376e-05 lr: 2.6572e-05 eta: 3 days, 3:41:17 time: 2.3859 data_time: 0.1325 memory: 26534 grad_norm: 1.2614 loss: 1.3682 caption_loss_cls: 2.3837 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7928 detection_loss_cls: 0.0519 detection_loss_reg: 0.4369 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.2039 2023/11/02 02:04:23 - mmengine - INFO - Iter(train) [198700/320000] base_lr: 6.4286e-05 lr: 2.6537e-05 eta: 3 days, 3:36:01 time: 2.3792 data_time: 0.1324 memory: 25856 grad_norm: 1.2596 loss: 1.3673 caption_loss_cls: 2.3855 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7930 detection_loss_cls: 0.0518 detection_loss_reg: 0.4362 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.2017 2023/11/02 02:08:41 - mmengine - INFO - Iter(train) [198800/320000] base_lr: 6.4195e-05 lr: 2.6501e-05 eta: 3 days, 3:40:52 time: 2.3864 data_time: 0.1325 memory: 25856 grad_norm: 1.2548 loss: 1.3617 caption_loss_cls: 2.3849 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7924 detection_loss_cls: 0.0517 detection_loss_reg: 0.4355 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.2022 2023/11/02 02:12:14 - mmengine - INFO - Iter(train) [198900/320000] base_lr: 6.4105e-05 lr: 2.6466e-05 eta: 3 days, 3:34:07 time: 2.3804 data_time: 0.1324 memory: 26534 grad_norm: 1.2618 loss: 1.3669 caption_loss_cls: 2.3833 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2987 instance_segmentation_loss_poly: 0.7928 detection_loss_cls: 0.0517 detection_loss_reg: 0.4358 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.2001 2023/11/02 02:15:30 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 02:15:30 - mmengine - INFO - Iter(train) [199000/320000] base_lr: 6.4015e-05 lr: 2.6430e-05 eta: 3 days, 3:23:10 time: 2.3725 data_time: 0.1323 memory: 26534 grad_norm: 1.2811 loss: 1.3655 caption_loss_cls: 2.3802 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7924 detection_loss_cls: 0.0518 detection_loss_reg: 0.4352 semantic_segmentation_loss_cls: 0.0124 grounding_loss_reg: 3.1977 2023/11/02 02:15:30 - mmengine - INFO - Saving checkpoint at 199000 iterations 2023/11/02 02:20:26 - mmengine - INFO - Iter(train) [199100/320000] base_lr: 6.3925e-05 lr: 2.6395e-05 eta: 3 days, 3:37:09 time: 2.3745 data_time: 0.1328 memory: 25856 grad_norm: 1.2761 loss: 1.3640 caption_loss_cls: 2.3790 instance_segmentation_loss_cls: 0.0353 instance_segmentation_loss_reg: 0.2989 instance_segmentation_loss_poly: 0.7918 detection_loss_cls: 0.0518 detection_loss_reg: 0.4348 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1973 2023/11/02 02:24:28 - mmengine - INFO - Iter(train) [199200/320000] base_lr: 6.3835e-05 lr: 2.6359e-05 eta: 3 days, 3:37:44 time: 2.3769 data_time: 0.1328 memory: 25856 grad_norm: 1.2686 loss: 1.3582 caption_loss_cls: 2.3779 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_reg: 0.2988 instance_segmentation_loss_poly: 0.7923 detection_loss_cls: 0.0519 detection_loss_reg: 0.4355 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1970 2023/11/02 02:28:29 - mmengine - INFO - Iter(train) [199300/320000] base_lr: 6.3745e-05 lr: 2.6324e-05 eta: 3 days, 3:37:35 time: 2.3845 data_time: 0.1328 memory: 26534 grad_norm: 1.2618 loss: 1.3491 caption_loss_cls: 2.3785 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2979 instance_segmentation_loss_poly: 0.7905 detection_loss_cls: 0.0520 detection_loss_reg: 0.4354 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1961 2023/11/02 02:32:36 - mmengine - INFO - Iter(train) [199400/320000] base_lr: 6.3655e-05 lr: 2.6288e-05 eta: 3 days, 3:39:04 time: 2.3846 data_time: 0.1328 memory: 25856 grad_norm: 1.2683 loss: 1.3476 caption_loss_cls: 2.3774 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7896 detection_loss_cls: 0.0521 detection_loss_reg: 0.4355 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1927 2023/11/02 02:36:02 - mmengine - INFO - Iter(train) [199500/320000] base_lr: 6.3565e-05 lr: 2.6253e-05 eta: 3 days, 3:30:37 time: 2.3850 data_time: 0.1328 memory: 25856 grad_norm: 1.2723 loss: 1.3483 caption_loss_cls: 2.3776 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7894 detection_loss_cls: 0.0521 detection_loss_reg: 0.4359 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1890 2023/11/02 02:36:02 - mmengine - INFO - Saving checkpoint at 199500 iterations 2023/11/02 02:40:31 - mmengine - INFO - Iter(train) [199600/320000] base_lr: 6.3475e-05 lr: 2.6217e-05 eta: 3 days, 3:36:54 time: 2.3878 data_time: 0.1329 memory: 26534 grad_norm: 1.2775 loss: 1.3557 caption_loss_cls: 2.3809 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7890 detection_loss_cls: 0.0522 detection_loss_reg: 0.4353 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1892 2023/11/02 02:44:27 - mmengine - INFO - Iter(train) [199700/320000] base_lr: 6.3385e-05 lr: 2.6182e-05 eta: 3 days, 3:35:32 time: 2.3884 data_time: 0.1328 memory: 26534 grad_norm: 1.2885 loss: 1.3646 caption_loss_cls: 2.3806 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7881 detection_loss_cls: 0.0523 detection_loss_reg: 0.4359 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1892 2023/11/02 02:48:10 - mmengine - INFO - Iter(train) [199800/320000] base_lr: 6.3295e-05 lr: 2.6146e-05 eta: 3 days, 3:30:50 time: 2.3915 data_time: 0.1329 memory: 25856 grad_norm: 1.3364 loss: 1.3639 caption_loss_cls: 2.3806 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7872 detection_loss_cls: 0.0525 detection_loss_reg: 0.4368 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1878 2023/11/02 02:51:56 - mmengine - INFO - Iter(train) [199900/320000] base_lr: 6.3205e-05 lr: 2.6111e-05 eta: 3 days, 3:27:07 time: 2.3902 data_time: 0.1329 memory: 26534 grad_norm: 1.3389 loss: 1.3637 caption_loss_cls: 2.3786 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2960 instance_segmentation_loss_poly: 0.7873 detection_loss_cls: 0.0524 detection_loss_reg: 0.4368 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1873 2023/11/02 02:55:12 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 02:55:12 - mmengine - INFO - Iter(train) [200000/320000] base_lr: 6.3115e-05 lr: 2.6076e-05 eta: 3 days, 3:16:34 time: 2.3825 data_time: 0.1327 memory: 26534 grad_norm: 1.3364 loss: 1.3567 caption_loss_cls: 2.3778 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7866 detection_loss_cls: 0.0523 detection_loss_reg: 0.4363 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1847 2023/11/02 02:55:12 - mmengine - INFO - Saving checkpoint at 200000 iterations 2023/11/02 02:59:48 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.4216 data_time: 0.0312 memory: 14029 2023/11/02 03:00:37 - mmengine - INFO - Evaluating bbox... 2023/11/02 03:01:40 - mmengine - INFO - bbox_mAP_copypaste: 0.469 0.642 0.511 0.313 0.514 0.611 2023/11/02 03:01:40 - mmengine - INFO - Evaluating segm... 2023/11/02 03:02:58 - mmengine - INFO - segm_mAP_copypaste: 0.301 0.541 0.299 0.167 0.343 0.467 2023/11/02 03:03:59 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3710 data_time: 0.0297 memory: 14028 2023/11/02 03:04:19 - mmengine - INFO - Evaluating bbox... 2023/11/02 03:05:24 - mmengine - INFO - bbox_mAP_copypaste: 0.470 0.642 0.512 0.313 0.514 0.615 2023/11/02 03:07:58 - mmengine - INFO - per class results: 2023/11/02 03:07:58 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 73.79 | 86.37 | | building | 80.6 | 92.9 | | sky | 91.81 | 98.04 | | floor | 79.73 | 87.1 | | tree | 71.49 | 84.31 | | ceiling | 79.45 | 95.3 | | road | 80.34 | 91.45 | | bed | 84.93 | 93.61 | | windowpane | 57.11 | 84.58 | | grass | 67.27 | 88.91 | | cabinet | 53.33 | 58.08 | | sidewalk | 61.77 | 71.13 | | person | 78.16 | 89.99 | | earth | 28.1 | 32.42 | | door | 43.2 | 52.15 | | table | 55.18 | 69.74 | | mountain | 52.61 | 62.04 | | plant | 51.26 | 66.57 | | curtain | 68.74 | 81.36 | | chair | 50.72 | 64.15 | | car | 79.88 | 91.36 | | water | 57.62 | 77.94 | | painting | 66.25 | 82.32 | | sofa | 58.41 | 72.55 | | shelf | 37.84 | 64.56 | | house | 42.37 | 50.29 | | sea | 60.05 | 75.17 | | mirror | 59.23 | 70.17 | | rug | 64.21 | 71.9 | | field | 25.94 | 32.25 | | armchair | 36.62 | 63.33 | | seat | 58.08 | 71.59 | | fence | 40.71 | 56.73 | | desk | 37.18 | 58.12 | | rock | 46.05 | 67.32 | | wardrobe | 49.21 | 63.72 | | lamp | 56.01 | 69.22 | | bathtub | 69.59 | 83.47 | | railing | 27.26 | 32.19 | | cushion | 49.0 | 70.68 | | base | 19.12 | 29.16 | | box | 25.08 | 32.07 | | column | 42.21 | 55.64 | | signboard | 26.13 | 29.38 | | chest of drawers | 35.46 | 59.81 | | counter | 27.33 | 33.73 | | sand | 48.58 | 79.96 | | sink | 64.93 | 77.63 | | skyscraper | 55.4 | 67.4 | | fireplace | 63.16 | 71.42 | | refrigerator | 64.86 | 75.59 | | grandstand | 34.62 | 81.14 | | path | 22.68 | 39.09 | | stairs | 31.5 | 48.19 | | runway | 64.19 | 82.97 | | case | 48.64 | 64.17 | | pool table | 87.31 | 94.91 | | pillow | 36.23 | 40.14 | | screen door | 58.76 | 67.14 | | stairway | 24.62 | 29.71 | | river | 16.96 | 19.55 | | bridge | 45.99 | 54.79 | | bookcase | 30.06 | 44.74 | | blind | 28.46 | 31.82 | | coffee table | 57.25 | 81.36 | | toilet | 79.42 | 87.74 | | flower | 29.57 | 48.46 | | book | 41.77 | 63.09 | | hill | 10.88 | 22.53 | | bench | 45.11 | 62.3 | | countertop | 50.63 | 66.45 | | stove | 62.58 | 86.81 | | palm | 40.38 | 49.53 | | kitchen island | 29.17 | 85.88 | | computer | 67.02 | 78.61 | | swivel chair | 38.61 | 63.5 | | boat | 63.74 | 89.99 | | bar | 29.36 | 35.47 | | arcade machine | 54.36 | 64.88 | | hovel | 12.33 | 15.24 | | bus | 89.89 | 95.16 | | towel | 46.64 | 76.18 | | light | 27.45 | 29.71 | | truck | 42.14 | 69.47 | | tower | 21.79 | 31.6 | | chandelier | 59.26 | 72.26 | | awning | 24.36 | 27.78 | | streetlight | 21.21 | 23.13 | | booth | 47.39 | 53.79 | | television receiver | 61.97 | 79.35 | | airplane | 56.57 | 63.48 | | dirt track | 2.72 | 9.69 | | apparel | 25.07 | 37.73 | | pole | 23.62 | 49.77 | | land | 4.48 | 4.8 | | bannister | 2.38 | 2.77 | | escalator | 49.79 | 75.73 | | ottoman | 35.44 | 46.5 | | bottle | 23.59 | 29.42 | | buffet | 43.97 | 60.41 | | poster | 21.15 | 33.78 | | stage | 8.56 | 16.48 | | van | 7.46 | 8.1 | | ship | 71.45 | 80.41 | | fountain | 11.68 | 12.37 | | conveyer belt | 70.3 | 91.47 | | canopy | 24.47 | 28.52 | | washer | 47.93 | 61.35 | | plaything | 25.83 | 33.43 | | swimming pool | 45.9 | 78.75 | | stool | 41.95 | 52.23 | | barrel | 29.78 | 60.62 | | basket | 29.56 | 37.86 | | waterfall | 56.55 | 78.28 | | tent | 87.76 | 96.42 | | bag | 13.12 | 14.55 | | minibike | 67.38 | 87.02 | | cradle | 66.81 | 85.12 | | oven | 7.77 | 8.52 | | ball | 46.25 | 66.12 | | food | 53.63 | 59.26 | | step | 12.01 | 14.17 | | tank | 41.08 | 46.13 | | trade name | 21.48 | 24.65 | | microwave | 79.77 | 93.02 | | pot | 45.19 | 51.8 | | animal | 64.15 | 71.62 | | bicycle | 56.23 | 82.08 | | lake | 0.02 | 0.02 | | dishwasher | 52.93 | 67.0 | | screen | 58.1 | 69.45 | | blanket | 2.43 | 2.61 | | sculpture | 53.0 | 67.29 | | hood | 46.38 | 54.01 | | sconce | 25.98 | 30.76 | | vase | 33.95 | 46.9 | | traffic light | 22.76 | 28.39 | | tray | 5.14 | 7.18 | | ashcan | 38.18 | 48.0 | | fan | 50.79 | 61.14 | | pier | 39.62 | 46.45 | | crt screen | 6.63 | 27.48 | | plate | 47.93 | 72.1 | | monitor | 0.08 | 0.08 | | bulletin board | 28.69 | 32.31 | | shower | 2.39 | 6.75 | | radiator | 42.51 | 45.8 | | glass | 15.56 | 17.18 | | clock | 20.42 | 24.21 | | flag | 52.43 | 57.36 | +---------------------+-------+-------+ 2023/11/02 03:08:06 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.4700 coco/bbox_mAP_50: 0.6420 coco/bbox_mAP_75: 0.5120 coco/bbox_mAP_s: 0.3130 coco/bbox_mAP_m: 0.5140 coco/bbox_mAP_l: 0.6150 coco/segm_mAP: 0.3010 coco/segm_mAP_50: 0.5410 coco/segm_mAP_75: 0.2990 coco/segm_mAP_s: 0.1670 coco/segm_mAP_m: 0.3430 coco/segm_mAP_l: 0.4670 Bleu_1: 0.7360 Bleu_2: 0.5624 Bleu_3: 0.4197 Bleu_4: 0.3120 METEOR: 0.2669 ROUGE_L: 0.5469 CIDEr: 1.0355 SPICE: 0.1955 aAcc: 80.7300 mIoU: 43.7100 mAcc: 56.0800 visual-grounding/miou: 0.7323 visual-grounding/acc: 0.8028 data_time: 0.0378 time: 1.0471 2023/11/02 03:11:15 - mmengine - INFO - Iter(train) [200100/320000] base_lr: 6.3025e-05 lr: 2.6040e-05 eta: 3 days, 3:04:58 time: 2.3509 data_time: 0.1187 memory: 26535 grad_norm: 1.3404 loss: 1.3623 caption_loss_cls: 2.3792 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.7876 detection_loss_cls: 0.0523 detection_loss_reg: 0.4363 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1830 2023/11/02 03:15:25 - mmengine - INFO - Iter(train) [200200/320000] base_lr: 6.2936e-05 lr: 2.6005e-05 eta: 3 days, 3:06:31 time: 2.3568 data_time: 0.1189 memory: 25856 grad_norm: 1.3520 loss: 1.3541 caption_loss_cls: 2.3792 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7863 detection_loss_cls: 0.0522 detection_loss_reg: 0.4367 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1814 2023/11/02 03:18:59 - mmengine - INFO - Iter(train) [200300/320000] base_lr: 6.2846e-05 lr: 2.5970e-05 eta: 3 days, 3:00:20 time: 2.3501 data_time: 0.1189 memory: 25856 grad_norm: 1.3567 loss: 1.3536 caption_loss_cls: 2.3781 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7868 detection_loss_cls: 0.0522 detection_loss_reg: 0.4363 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1777 2023/11/02 03:22:55 - mmengine - INFO - Iter(train) [200400/320000] base_lr: 6.2756e-05 lr: 2.5934e-05 eta: 3 days, 2:58:49 time: 2.3530 data_time: 0.1191 memory: 26535 grad_norm: 1.3601 loss: 1.3621 caption_loss_cls: 2.3767 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7862 detection_loss_cls: 0.0521 detection_loss_reg: 0.4363 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1789 2023/11/02 03:26:34 - mmengine - INFO - Iter(train) [200500/320000] base_lr: 6.2667e-05 lr: 2.5899e-05 eta: 3 days, 2:53:35 time: 2.3502 data_time: 0.1191 memory: 25856 grad_norm: 1.3607 loss: 1.3584 caption_loss_cls: 2.3771 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7866 detection_loss_cls: 0.0521 detection_loss_reg: 0.4363 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1752 2023/11/02 03:26:34 - mmengine - INFO - Saving checkpoint at 200500 iterations 2023/11/02 03:30:56 - mmengine - INFO - Iter(train) [200600/320000] base_lr: 6.2577e-05 lr: 2.5864e-05 eta: 3 days, 2:57:25 time: 2.3436 data_time: 0.1200 memory: 26535 grad_norm: 1.3718 loss: 1.3574 caption_loss_cls: 2.3774 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7871 detection_loss_cls: 0.0521 detection_loss_reg: 0.4365 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1722 2023/11/02 03:34:31 - mmengine - INFO - Iter(train) [200700/320000] base_lr: 6.2488e-05 lr: 2.5828e-05 eta: 3 days, 2:51:18 time: 2.3403 data_time: 0.1200 memory: 25856 grad_norm: 1.3721 loss: 1.3554 caption_loss_cls: 2.3769 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7878 detection_loss_cls: 0.0520 detection_loss_reg: 0.4360 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1716 2023/11/02 03:38:17 - mmengine - INFO - Iter(train) [200800/320000] base_lr: 6.2398e-05 lr: 2.5793e-05 eta: 3 days, 2:47:34 time: 2.3396 data_time: 0.1200 memory: 25856 grad_norm: 1.3734 loss: 1.3566 caption_loss_cls: 2.3767 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7878 detection_loss_cls: 0.0520 detection_loss_reg: 0.4361 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1689 2023/11/02 03:41:52 - mmengine - INFO - Iter(train) [200900/320000] base_lr: 6.2309e-05 lr: 2.5758e-05 eta: 3 days, 2:41:39 time: 2.3346 data_time: 0.1200 memory: 26535 grad_norm: 1.3794 loss: 1.3607 caption_loss_cls: 2.3770 instance_segmentation_loss_cls: 0.0352 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7873 detection_loss_cls: 0.0520 detection_loss_reg: 0.4369 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1655 2023/11/02 03:45:28 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 03:45:28 - mmengine - INFO - Iter(train) [201000/320000] base_lr: 6.2219e-05 lr: 2.5723e-05 eta: 3 days, 2:35:53 time: 2.3316 data_time: 0.1201 memory: 25856 grad_norm: 1.3877 loss: 1.3602 caption_loss_cls: 2.3780 instance_segmentation_loss_cls: 0.0351 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7862 detection_loss_cls: 0.0521 detection_loss_reg: 0.4366 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1634 2023/11/02 03:45:28 - mmengine - INFO - Saving checkpoint at 201000 iterations 2023/11/02 03:50:08 - mmengine - INFO - Iter(train) [201100/320000] base_lr: 6.2130e-05 lr: 2.5687e-05 eta: 3 days, 2:42:51 time: 2.3303 data_time: 0.1207 memory: 26535 grad_norm: 1.4354 loss: 1.3621 caption_loss_cls: 2.3802 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7866 detection_loss_cls: 0.0520 detection_loss_reg: 0.4359 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1597 2023/11/02 03:53:49 - mmengine - INFO - Iter(train) [201200/320000] base_lr: 6.2040e-05 lr: 2.5652e-05 eta: 3 days, 2:38:05 time: 2.3304 data_time: 0.1214 memory: 25856 grad_norm: 1.4299 loss: 1.3582 caption_loss_cls: 2.3803 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7854 detection_loss_cls: 0.0520 detection_loss_reg: 0.4365 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1585 2023/11/02 03:56:58 - mmengine - INFO - Iter(train) [201300/320000] base_lr: 6.1951e-05 lr: 2.5617e-05 eta: 3 days, 2:27:05 time: 2.3242 data_time: 0.1214 memory: 25856 grad_norm: 1.4281 loss: 1.3597 caption_loss_cls: 2.3815 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7852 detection_loss_cls: 0.0522 detection_loss_reg: 0.4374 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1559 2023/11/02 04:00:16 - mmengine - INFO - Iter(train) [201400/320000] base_lr: 6.1862e-05 lr: 2.5582e-05 eta: 3 days, 2:18:03 time: 2.3216 data_time: 0.1216 memory: 26535 grad_norm: 1.4322 loss: 1.3590 caption_loss_cls: 2.3799 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7861 detection_loss_cls: 0.0522 detection_loss_reg: 0.4378 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1529 2023/11/02 04:03:14 - mmengine - INFO - Iter(train) [201500/320000] base_lr: 6.1772e-05 lr: 2.5547e-05 eta: 3 days, 2:05:16 time: 2.3045 data_time: 0.1215 memory: 25856 grad_norm: 1.4419 loss: 1.3706 caption_loss_cls: 2.3818 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7848 detection_loss_cls: 0.0522 detection_loss_reg: 0.4382 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1507 2023/11/02 04:03:14 - mmengine - INFO - Saving checkpoint at 201500 iterations 2023/11/02 04:08:27 - mmengine - INFO - Iter(train) [201600/320000] base_lr: 6.1683e-05 lr: 2.5512e-05 eta: 3 days, 2:17:52 time: 2.3123 data_time: 0.1226 memory: 26535 grad_norm: 1.4430 loss: 1.3763 caption_loss_cls: 2.3833 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7860 detection_loss_cls: 0.0524 detection_loss_reg: 0.4391 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1501 2023/11/02 04:11:53 - mmengine - INFO - Iter(train) [201700/320000] base_lr: 6.1594e-05 lr: 2.5476e-05 eta: 3 days, 2:10:30 time: 2.3056 data_time: 0.1226 memory: 26535 grad_norm: 1.4474 loss: 1.3779 caption_loss_cls: 2.3825 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7867 detection_loss_cls: 0.0524 detection_loss_reg: 0.4386 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1475 2023/11/02 04:15:56 - mmengine - INFO - Iter(train) [201800/320000] base_lr: 6.1505e-05 lr: 2.5441e-05 eta: 3 days, 2:09:57 time: 2.3099 data_time: 0.1228 memory: 26535 grad_norm: 1.4464 loss: 1.3816 caption_loss_cls: 2.3834 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7860 detection_loss_cls: 0.0523 detection_loss_reg: 0.4384 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1459 2023/11/02 04:20:12 - mmengine - INFO - Iter(train) [201900/320000] base_lr: 6.1416e-05 lr: 2.5406e-05 eta: 3 days, 2:11:30 time: 2.3147 data_time: 0.1229 memory: 25856 grad_norm: 1.4426 loss: 1.3812 caption_loss_cls: 2.3815 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7879 detection_loss_cls: 0.0524 detection_loss_reg: 0.4387 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1457 2023/11/02 04:23:23 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 04:23:23 - mmengine - INFO - Iter(train) [202000/320000] base_lr: 6.1327e-05 lr: 2.5371e-05 eta: 3 days, 2:01:30 time: 2.3123 data_time: 0.1229 memory: 26535 grad_norm: 1.4409 loss: 1.3777 caption_loss_cls: 2.3804 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7878 detection_loss_cls: 0.0523 detection_loss_reg: 0.4384 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1419 2023/11/02 04:23:23 - mmengine - INFO - Saving checkpoint at 202000 iterations 2023/11/02 04:27:28 - mmengine - INFO - Iter(train) [202100/320000] base_lr: 6.1238e-05 lr: 2.5336e-05 eta: 3 days, 2:01:03 time: 2.3039 data_time: 0.1238 memory: 25856 grad_norm: 1.4484 loss: 1.3799 caption_loss_cls: 2.3806 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7869 detection_loss_cls: 0.0524 detection_loss_reg: 0.4390 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1397 2023/11/02 04:31:00 - mmengine - INFO - Iter(train) [202200/320000] base_lr: 6.1149e-05 lr: 2.5301e-05 eta: 3 days, 1:54:57 time: 2.3066 data_time: 0.1240 memory: 26535 grad_norm: 1.4524 loss: 1.3858 caption_loss_cls: 2.3808 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7873 detection_loss_cls: 0.0524 detection_loss_reg: 0.4392 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1373 2023/11/02 04:34:18 - mmengine - INFO - Iter(train) [202300/320000] base_lr: 6.1060e-05 lr: 2.5266e-05 eta: 3 days, 1:46:21 time: 2.3002 data_time: 0.1240 memory: 25856 grad_norm: 1.4606 loss: 1.3873 caption_loss_cls: 2.3765 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7865 detection_loss_cls: 0.0524 detection_loss_reg: 0.4389 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1336 2023/11/02 04:38:22 - mmengine - INFO - Iter(train) [202400/320000] base_lr: 6.0971e-05 lr: 2.5231e-05 eta: 3 days, 1:45:38 time: 2.3005 data_time: 0.1242 memory: 26535 grad_norm: 1.4500 loss: 1.3807 caption_loss_cls: 2.3753 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7863 detection_loss_cls: 0.0523 detection_loss_reg: 0.4392 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1313 2023/11/02 04:41:26 - mmengine - INFO - Iter(train) [202500/320000] base_lr: 6.0882e-05 lr: 2.5196e-05 eta: 3 days, 1:34:48 time: 2.2892 data_time: 0.1242 memory: 26535 grad_norm: 1.4480 loss: 1.3754 caption_loss_cls: 2.3738 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7870 detection_loss_cls: 0.0524 detection_loss_reg: 0.4393 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1287 2023/11/02 04:41:26 - mmengine - INFO - Saving checkpoint at 202500 iterations 2023/11/02 04:46:05 - mmengine - INFO - Iter(train) [202600/320000] base_lr: 6.0793e-05 lr: 2.5161e-05 eta: 3 days, 1:40:04 time: 2.2866 data_time: 0.1248 memory: 25856 grad_norm: 1.4412 loss: 1.3704 caption_loss_cls: 2.3737 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2942 instance_segmentation_loss_poly: 0.7854 detection_loss_cls: 0.0522 detection_loss_reg: 0.4387 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1301 2023/11/02 04:50:21 - mmengine - INFO - Iter(train) [202700/320000] base_lr: 6.0704e-05 lr: 2.5126e-05 eta: 3 days, 1:41:21 time: 2.2959 data_time: 0.1251 memory: 26535 grad_norm: 1.4446 loss: 1.3716 caption_loss_cls: 2.3745 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7873 detection_loss_cls: 0.0523 detection_loss_reg: 0.4386 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1291 2023/11/02 04:54:12 - mmengine - INFO - Iter(train) [202800/320000] base_lr: 6.0616e-05 lr: 2.5091e-05 eta: 3 days, 1:38:15 time: 2.2891 data_time: 0.1252 memory: 26535 grad_norm: 1.4468 loss: 1.3793 caption_loss_cls: 2.3746 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7883 detection_loss_cls: 0.0522 detection_loss_reg: 0.4385 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1263 2023/11/02 04:57:55 - mmengine - INFO - Iter(train) [202900/320000] base_lr: 6.0527e-05 lr: 2.5056e-05 eta: 3 days, 1:34:01 time: 2.2917 data_time: 0.1253 memory: 25856 grad_norm: 1.4353 loss: 1.3751 caption_loss_cls: 2.3745 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.7876 detection_loss_cls: 0.0523 detection_loss_reg: 0.4389 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.1250 2023/11/02 05:01:18 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 05:01:18 - mmengine - INFO - Iter(train) [203000/320000] base_lr: 6.0438e-05 lr: 2.5021e-05 eta: 3 days, 1:26:29 time: 2.2934 data_time: 0.1254 memory: 25856 grad_norm: 1.4149 loss: 1.3745 caption_loss_cls: 2.3728 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7874 detection_loss_cls: 0.0524 detection_loss_reg: 0.4393 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1240 2023/11/02 05:01:18 - mmengine - INFO - Saving checkpoint at 203000 iterations 2023/11/02 05:05:44 - mmengine - INFO - Iter(train) [203100/320000] base_lr: 6.0350e-05 lr: 2.4986e-05 eta: 3 days, 1:29:10 time: 2.2861 data_time: 0.1254 memory: 25856 grad_norm: 1.4265 loss: 1.3766 caption_loss_cls: 2.3725 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7863 detection_loss_cls: 0.0523 detection_loss_reg: 0.4389 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1179 2023/11/02 05:09:05 - mmengine - INFO - Iter(train) [203200/320000] base_lr: 6.0261e-05 lr: 2.4951e-05 eta: 3 days, 1:21:21 time: 2.2756 data_time: 0.1254 memory: 25856 grad_norm: 1.4394 loss: 1.3782 caption_loss_cls: 2.3711 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7849 detection_loss_cls: 0.0522 detection_loss_reg: 0.4383 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1150 2023/11/02 05:12:17 - mmengine - INFO - Iter(train) [203300/320000] base_lr: 6.0172e-05 lr: 2.4916e-05 eta: 3 days, 1:12:10 time: 2.2635 data_time: 0.1255 memory: 25856 grad_norm: 1.4428 loss: 1.3845 caption_loss_cls: 2.3679 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2941 instance_segmentation_loss_poly: 0.7843 detection_loss_cls: 0.0523 detection_loss_reg: 0.4384 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1148 2023/11/02 05:15:38 - mmengine - INFO - Iter(train) [203400/320000] base_lr: 6.0084e-05 lr: 2.4882e-05 eta: 3 days, 1:04:30 time: 2.2518 data_time: 0.1254 memory: 25856 grad_norm: 1.4463 loss: 1.3888 caption_loss_cls: 2.3700 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7840 detection_loss_cls: 0.0522 detection_loss_reg: 0.4382 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1100 2023/11/02 05:19:12 - mmengine - INFO - Iter(train) [203500/320000] base_lr: 5.9995e-05 lr: 2.4847e-05 eta: 3 days, 0:58:58 time: 2.2539 data_time: 0.1257 memory: 25856 grad_norm: 1.4438 loss: 1.3935 caption_loss_cls: 2.3707 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7843 detection_loss_cls: 0.0522 detection_loss_reg: 0.4379 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1076 2023/11/02 05:19:12 - mmengine - INFO - Saving checkpoint at 203500 iterations 2023/11/02 05:23:20 - mmengine - INFO - Iter(train) [203600/320000] base_lr: 5.9907e-05 lr: 2.4812e-05 eta: 3 days, 0:58:40 time: 2.2487 data_time: 0.1265 memory: 26535 grad_norm: 1.4424 loss: 1.3915 caption_loss_cls: 2.3723 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7843 detection_loss_cls: 0.0521 detection_loss_reg: 0.4375 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1068 2023/11/02 05:26:54 - mmengine - INFO - Iter(train) [203700/320000] base_lr: 5.9819e-05 lr: 2.4777e-05 eta: 3 days, 0:53:06 time: 2.2431 data_time: 0.1266 memory: 26535 grad_norm: 1.4372 loss: 1.3889 caption_loss_cls: 2.3680 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7850 detection_loss_cls: 0.0521 detection_loss_reg: 0.4369 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1071 2023/11/02 05:30:37 - mmengine - INFO - Iter(train) [203800/320000] base_lr: 5.9730e-05 lr: 2.4742e-05 eta: 3 days, 0:48:54 time: 2.2432 data_time: 0.1266 memory: 26535 grad_norm: 1.3870 loss: 1.3903 caption_loss_cls: 2.3672 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2943 instance_segmentation_loss_poly: 0.7844 detection_loss_cls: 0.0521 detection_loss_reg: 0.4375 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1065 2023/11/02 05:34:00 - mmengine - INFO - Iter(train) [203900/320000] base_lr: 5.9642e-05 lr: 2.4707e-05 eta: 3 days, 0:41:49 time: 2.2375 data_time: 0.1266 memory: 25856 grad_norm: 1.3882 loss: 1.3991 caption_loss_cls: 2.3705 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7856 detection_loss_cls: 0.0521 detection_loss_reg: 0.4370 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1053 2023/11/02 05:37:40 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 05:37:40 - mmengine - INFO - Iter(train) [204000/320000] base_lr: 5.9554e-05 lr: 2.4673e-05 eta: 3 days, 0:37:14 time: 2.2435 data_time: 0.1268 memory: 26535 grad_norm: 1.3873 loss: 1.4020 caption_loss_cls: 2.3707 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7853 detection_loss_cls: 0.0524 detection_loss_reg: 0.4383 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1052 2023/11/02 05:37:40 - mmengine - INFO - Saving checkpoint at 204000 iterations 2023/11/02 05:41:56 - mmengine - INFO - Iter(train) [204100/320000] base_lr: 5.9465e-05 lr: 2.4638e-05 eta: 3 days, 0:37:53 time: 2.2598 data_time: 0.1418 memory: 26535 grad_norm: 1.3823 loss: 1.3979 caption_loss_cls: 2.3713 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7853 detection_loss_cls: 0.0523 detection_loss_reg: 0.4381 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1049 2023/11/02 05:45:29 - mmengine - INFO - Iter(train) [204200/320000] base_lr: 5.9377e-05 lr: 2.4603e-05 eta: 3 days, 0:32:18 time: 2.2506 data_time: 0.1416 memory: 25856 grad_norm: 1.3665 loss: 1.4082 caption_loss_cls: 2.3720 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7852 detection_loss_cls: 0.0523 detection_loss_reg: 0.4385 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1047 2023/11/02 05:48:55 - mmengine - INFO - Iter(train) [204300/320000] base_lr: 5.9289e-05 lr: 2.4568e-05 eta: 3 days, 0:25:43 time: 2.2485 data_time: 0.1417 memory: 26535 grad_norm: 1.3797 loss: 1.4193 caption_loss_cls: 2.3720 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2941 instance_segmentation_loss_poly: 0.7850 detection_loss_cls: 0.0523 detection_loss_reg: 0.4384 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1030 2023/11/02 05:52:45 - mmengine - INFO - Iter(train) [204400/320000] base_lr: 5.9201e-05 lr: 2.4534e-05 eta: 3 days, 0:22:35 time: 2.2469 data_time: 0.1415 memory: 26535 grad_norm: 1.3812 loss: 1.4174 caption_loss_cls: 2.3708 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7842 detection_loss_cls: 0.0523 detection_loss_reg: 0.4380 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.1006 2023/11/02 05:56:22 - mmengine - INFO - Iter(train) [204500/320000] base_lr: 5.9113e-05 lr: 2.4499e-05 eta: 3 days, 0:17:39 time: 2.2465 data_time: 0.1416 memory: 25856 grad_norm: 1.3856 loss: 1.4188 caption_loss_cls: 2.3701 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7841 detection_loss_cls: 0.0524 detection_loss_reg: 0.4384 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0985 2023/11/02 05:56:22 - mmengine - INFO - Saving checkpoint at 204500 iterations 2023/11/02 06:01:06 - mmengine - INFO - Iter(train) [204600/320000] base_lr: 5.9025e-05 lr: 2.4464e-05 eta: 3 days, 0:22:17 time: 2.2521 data_time: 0.1414 memory: 25856 grad_norm: 1.3764 loss: 1.4126 caption_loss_cls: 2.3676 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7828 detection_loss_cls: 0.0523 detection_loss_reg: 0.4389 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0961 2023/11/02 06:05:06 - mmengine - INFO - Iter(train) [204700/320000] base_lr: 5.8937e-05 lr: 2.4430e-05 eta: 3 days, 0:20:31 time: 2.2585 data_time: 0.1415 memory: 25856 grad_norm: 1.3764 loss: 1.4127 caption_loss_cls: 2.3687 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7840 detection_loss_cls: 0.0522 detection_loss_reg: 0.4383 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0938 2023/11/02 06:08:33 - mmengine - INFO - Iter(train) [204800/320000] base_lr: 5.8849e-05 lr: 2.4395e-05 eta: 3 days, 0:14:03 time: 2.2536 data_time: 0.1416 memory: 25856 grad_norm: 1.3820 loss: 1.4168 caption_loss_cls: 2.3695 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7849 detection_loss_cls: 0.0523 detection_loss_reg: 0.4383 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0932 2023/11/02 06:12:16 - mmengine - INFO - Iter(train) [204900/320000] base_lr: 5.8761e-05 lr: 2.4360e-05 eta: 3 days, 0:09:51 time: 2.2554 data_time: 0.1417 memory: 26535 grad_norm: 1.3819 loss: 1.4150 caption_loss_cls: 2.3707 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7844 detection_loss_cls: 0.0522 detection_loss_reg: 0.4378 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0919 2023/11/02 06:15:36 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 06:15:36 - mmengine - INFO - Iter(train) [205000/320000] base_lr: 5.8673e-05 lr: 2.4326e-05 eta: 3 days, 0:02:35 time: 2.2515 data_time: 0.1417 memory: 26535 grad_norm: 1.3772 loss: 1.4175 caption_loss_cls: 2.3700 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7840 detection_loss_cls: 0.0522 detection_loss_reg: 0.4383 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0907 2023/11/02 06:15:36 - mmengine - INFO - Saving checkpoint at 205000 iterations 2023/11/02 06:19:49 - mmengine - INFO - Iter(train) [205100/320000] base_lr: 5.8585e-05 lr: 2.4291e-05 eta: 3 days, 0:02:36 time: 2.2448 data_time: 0.1414 memory: 26535 grad_norm: 1.3412 loss: 1.4180 caption_loss_cls: 2.3685 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7838 detection_loss_cls: 0.0521 detection_loss_reg: 0.4378 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0900 2023/11/02 06:23:32 - mmengine - INFO - Iter(train) [205200/320000] base_lr: 5.8497e-05 lr: 2.4257e-05 eta: 2 days, 23:58:29 time: 2.2453 data_time: 0.1409 memory: 25856 grad_norm: 1.3442 loss: 1.4229 caption_loss_cls: 2.3690 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7837 detection_loss_cls: 0.0520 detection_loss_reg: 0.4376 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0878 2023/11/02 06:26:56 - mmengine - INFO - Iter(train) [205300/320000] base_lr: 5.8410e-05 lr: 2.4222e-05 eta: 2 days, 23:51:47 time: 2.2491 data_time: 0.1408 memory: 25856 grad_norm: 1.3773 loss: 1.4274 caption_loss_cls: 2.3694 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7821 detection_loss_cls: 0.0519 detection_loss_reg: 0.4378 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0869 2023/11/02 06:30:47 - mmengine - INFO - Iter(train) [205400/320000] base_lr: 5.8322e-05 lr: 2.4187e-05 eta: 2 days, 23:48:47 time: 2.2574 data_time: 0.1409 memory: 25856 grad_norm: 1.3662 loss: 1.4220 caption_loss_cls: 2.3683 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7819 detection_loss_cls: 0.0518 detection_loss_reg: 0.4375 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0855 2023/11/02 06:34:05 - mmengine - INFO - Iter(train) [205500/320000] base_lr: 5.8234e-05 lr: 2.4153e-05 eta: 2 days, 23:41:17 time: 2.2623 data_time: 0.1410 memory: 25856 grad_norm: 1.3621 loss: 1.4215 caption_loss_cls: 2.3677 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7817 detection_loss_cls: 0.0518 detection_loss_reg: 0.4381 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0840 2023/11/02 06:34:05 - mmengine - INFO - Saving checkpoint at 205500 iterations 2023/11/02 06:38:32 - mmengine - INFO - Iter(train) [205600/320000] base_lr: 5.8146e-05 lr: 2.4118e-05 eta: 2 days, 23:43:02 time: 2.2510 data_time: 0.1409 memory: 26535 grad_norm: 1.3637 loss: 1.4241 caption_loss_cls: 2.3698 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7828 detection_loss_cls: 0.0518 detection_loss_reg: 0.4380 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0843 2023/11/02 06:42:09 - mmengine - INFO - Iter(train) [205700/320000] base_lr: 5.8059e-05 lr: 2.4084e-05 eta: 2 days, 23:38:08 time: 2.2536 data_time: 0.1409 memory: 26535 grad_norm: 1.3634 loss: 1.4230 caption_loss_cls: 2.3696 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7825 detection_loss_cls: 0.0519 detection_loss_reg: 0.4387 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0827 2023/11/02 06:45:56 - mmengine - INFO - Iter(train) [205800/320000] base_lr: 5.7971e-05 lr: 2.4049e-05 eta: 2 days, 23:34:29 time: 2.2494 data_time: 0.1409 memory: 25856 grad_norm: 1.3625 loss: 1.4205 caption_loss_cls: 2.3676 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7820 detection_loss_cls: 0.0520 detection_loss_reg: 0.4385 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0809 2023/11/02 06:49:48 - mmengine - INFO - Iter(train) [205900/320000] base_lr: 5.7884e-05 lr: 2.4015e-05 eta: 2 days, 23:31:33 time: 2.2436 data_time: 0.1408 memory: 26535 grad_norm: 1.3690 loss: 1.4206 caption_loss_cls: 2.3700 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7812 detection_loss_cls: 0.0519 detection_loss_reg: 0.4381 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0809 2023/11/02 06:53:45 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 06:53:45 - mmengine - INFO - Iter(train) [206000/320000] base_lr: 5.7796e-05 lr: 2.3980e-05 eta: 2 days, 23:29:17 time: 2.2551 data_time: 0.1410 memory: 26535 grad_norm: 1.3624 loss: 1.4174 caption_loss_cls: 2.3705 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7822 detection_loss_cls: 0.0518 detection_loss_reg: 0.4375 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0801 2023/11/02 06:53:45 - mmengine - INFO - Saving checkpoint at 206000 iterations 2023/11/02 06:58:09 - mmengine - INFO - Iter(train) [206100/320000] base_lr: 5.7709e-05 lr: 2.3946e-05 eta: 2 days, 23:30:19 time: 2.2600 data_time: 0.1408 memory: 26535 grad_norm: 1.3509 loss: 1.4172 caption_loss_cls: 2.3713 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7833 detection_loss_cls: 0.0518 detection_loss_reg: 0.4376 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0789 2023/11/02 07:02:08 - mmengine - INFO - Iter(train) [206200/320000] base_lr: 5.7622e-05 lr: 2.3912e-05 eta: 2 days, 23:28:12 time: 2.2666 data_time: 0.1408 memory: 25856 grad_norm: 1.3474 loss: 1.4175 caption_loss_cls: 2.3703 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7838 detection_loss_cls: 0.0518 detection_loss_reg: 0.4376 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0782 2023/11/02 07:06:25 - mmengine - INFO - Iter(train) [206300/320000] base_lr: 5.7534e-05 lr: 2.3877e-05 eta: 2 days, 23:28:12 time: 2.2812 data_time: 0.1410 memory: 26535 grad_norm: 1.3393 loss: 1.4130 caption_loss_cls: 2.3704 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7839 detection_loss_cls: 0.0517 detection_loss_reg: 0.4375 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0778 2023/11/02 07:10:20 - mmengine - INFO - Iter(train) [206400/320000] base_lr: 5.7447e-05 lr: 2.3843e-05 eta: 2 days, 23:25:31 time: 2.2791 data_time: 0.1410 memory: 26535 grad_norm: 1.3580 loss: 1.4205 caption_loss_cls: 2.3730 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7835 detection_loss_cls: 0.0516 detection_loss_reg: 0.4370 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0752 2023/11/02 07:13:48 - mmengine - INFO - Iter(train) [206500/320000] base_lr: 5.7360e-05 lr: 2.3808e-05 eta: 2 days, 23:19:29 time: 2.2850 data_time: 0.1411 memory: 26535 grad_norm: 1.3548 loss: 1.4147 caption_loss_cls: 2.3716 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7838 detection_loss_cls: 0.0519 detection_loss_reg: 0.4382 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0720 2023/11/02 07:13:48 - mmengine - INFO - Saving checkpoint at 206500 iterations 2023/11/02 07:18:10 - mmengine - INFO - Iter(train) [206600/320000] base_lr: 5.7272e-05 lr: 2.3774e-05 eta: 2 days, 23:20:00 time: 2.2807 data_time: 0.1411 memory: 26535 grad_norm: 1.3681 loss: 1.4261 caption_loss_cls: 2.3708 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7823 detection_loss_cls: 0.0519 detection_loss_reg: 0.4385 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0700 2023/11/02 07:21:41 - mmengine - INFO - Iter(train) [206700/320000] base_lr: 5.7185e-05 lr: 2.3740e-05 eta: 2 days, 23:14:24 time: 2.2695 data_time: 0.1410 memory: 26535 grad_norm: 1.3693 loss: 1.4268 caption_loss_cls: 2.3668 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7810 detection_loss_cls: 0.0518 detection_loss_reg: 0.4384 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0703 2023/11/02 07:25:15 - mmengine - INFO - Iter(train) [206800/320000] base_lr: 5.7098e-05 lr: 2.3705e-05 eta: 2 days, 23:09:11 time: 2.2655 data_time: 0.1409 memory: 26535 grad_norm: 1.3682 loss: 1.4242 caption_loss_cls: 2.3660 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7807 detection_loss_cls: 0.0518 detection_loss_reg: 0.4379 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0696 2023/11/02 07:28:41 - mmengine - INFO - Iter(train) [206900/320000] base_lr: 5.7011e-05 lr: 2.3671e-05 eta: 2 days, 23:02:59 time: 2.2611 data_time: 0.1408 memory: 26535 grad_norm: 1.3712 loss: 1.4258 caption_loss_cls: 2.3667 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7798 detection_loss_cls: 0.0519 detection_loss_reg: 0.4386 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0695 2023/11/02 07:32:17 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 07:32:17 - mmengine - INFO - Iter(train) [207000/320000] base_lr: 5.6924e-05 lr: 2.3637e-05 eta: 2 days, 22:58:00 time: 2.2643 data_time: 0.1409 memory: 25856 grad_norm: 1.3695 loss: 1.4258 caption_loss_cls: 2.3643 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7805 detection_loss_cls: 0.0519 detection_loss_reg: 0.4389 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0682 2023/11/02 07:32:17 - mmengine - INFO - Saving checkpoint at 207000 iterations 2023/11/02 07:36:57 - mmengine - INFO - Iter(train) [207100/320000] base_lr: 5.6837e-05 lr: 2.3602e-05 eta: 2 days, 23:00:34 time: 2.2679 data_time: 0.1414 memory: 25856 grad_norm: 1.3654 loss: 1.4276 caption_loss_cls: 2.3658 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7802 detection_loss_cls: 0.0520 detection_loss_reg: 0.4392 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0644 2023/11/02 07:40:38 - mmengine - INFO - Iter(train) [207200/320000] base_lr: 5.6750e-05 lr: 2.3568e-05 eta: 2 days, 22:56:04 time: 2.2727 data_time: 0.1415 memory: 25856 grad_norm: 1.3598 loss: 1.4252 caption_loss_cls: 2.3647 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7802 detection_loss_cls: 0.0520 detection_loss_reg: 0.4391 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0618 2023/11/02 07:44:14 - mmengine - INFO - Iter(train) [207300/320000] base_lr: 5.6663e-05 lr: 2.3534e-05 eta: 2 days, 22:51:05 time: 2.2787 data_time: 0.1415 memory: 26535 grad_norm: 1.3696 loss: 1.4262 caption_loss_cls: 2.3626 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7804 detection_loss_cls: 0.0521 detection_loss_reg: 0.4393 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0609 2023/11/02 07:47:46 - mmengine - INFO - Iter(train) [207400/320000] base_lr: 5.6576e-05 lr: 2.3500e-05 eta: 2 days, 22:45:43 time: 2.2816 data_time: 0.1416 memory: 25856 grad_norm: 1.3667 loss: 1.4251 caption_loss_cls: 2.3624 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7811 detection_loss_cls: 0.0523 detection_loss_reg: 0.4404 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0600 2023/11/02 07:51:06 - mmengine - INFO - Iter(train) [207500/320000] base_lr: 5.6489e-05 lr: 2.3466e-05 eta: 2 days, 22:38:59 time: 2.2781 data_time: 0.1416 memory: 26535 grad_norm: 1.3689 loss: 1.4269 caption_loss_cls: 2.3618 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7815 detection_loss_cls: 0.0524 detection_loss_reg: 0.4409 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0585 2023/11/02 07:51:06 - mmengine - INFO - Saving checkpoint at 207500 iterations 2023/11/02 07:55:29 - mmengine - INFO - Iter(train) [207600/320000] base_lr: 5.6403e-05 lr: 2.3431e-05 eta: 2 days, 22:39:19 time: 2.2817 data_time: 0.1412 memory: 25856 grad_norm: 1.3713 loss: 1.4237 caption_loss_cls: 2.3612 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7813 detection_loss_cls: 0.0524 detection_loss_reg: 0.4413 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0595 2023/11/02 07:59:17 - mmengine - INFO - Iter(train) [207700/320000] base_lr: 5.6316e-05 lr: 2.3397e-05 eta: 2 days, 22:35:49 time: 2.2854 data_time: 0.1413 memory: 26535 grad_norm: 1.3830 loss: 1.4297 caption_loss_cls: 2.3601 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7827 detection_loss_cls: 0.0524 detection_loss_reg: 0.4421 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0576 2023/11/02 08:02:45 - mmengine - INFO - Iter(train) [207800/320000] base_lr: 5.6229e-05 lr: 2.3363e-05 eta: 2 days, 22:29:59 time: 2.2817 data_time: 0.1414 memory: 26535 grad_norm: 1.3772 loss: 1.4277 caption_loss_cls: 2.3599 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7835 detection_loss_cls: 0.0522 detection_loss_reg: 0.4416 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0555 2023/11/02 08:06:25 - mmengine - INFO - Iter(train) [207900/320000] base_lr: 5.6142e-05 lr: 2.3329e-05 eta: 2 days, 22:25:32 time: 2.2858 data_time: 0.1413 memory: 26535 grad_norm: 1.3726 loss: 1.4142 caption_loss_cls: 2.3579 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7841 detection_loss_cls: 0.0522 detection_loss_reg: 0.4413 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0538 2023/11/02 08:09:26 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 08:09:26 - mmengine - INFO - Iter(train) [208000/320000] base_lr: 5.6056e-05 lr: 2.3295e-05 eta: 2 days, 22:16:45 time: 2.2760 data_time: 0.1412 memory: 26535 grad_norm: 1.3751 loss: 1.4111 caption_loss_cls: 2.3554 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7837 detection_loss_cls: 0.0521 detection_loss_reg: 0.4406 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0514 2023/11/02 08:09:26 - mmengine - INFO - Saving checkpoint at 208000 iterations 2023/11/02 08:13:57 - mmengine - INFO - Iter(train) [208100/320000] base_lr: 5.5969e-05 lr: 2.3261e-05 eta: 2 days, 22:17:57 time: 2.2800 data_time: 0.1414 memory: 26535 grad_norm: 1.3718 loss: 1.4078 caption_loss_cls: 2.3559 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7845 detection_loss_cls: 0.0522 detection_loss_reg: 0.4407 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0514 2023/11/02 08:17:07 - mmengine - INFO - Iter(train) [208200/320000] base_lr: 5.5883e-05 lr: 2.3227e-05 eta: 2 days, 22:10:14 time: 2.2741 data_time: 0.1415 memory: 26535 grad_norm: 1.3778 loss: 1.4030 caption_loss_cls: 2.3544 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2941 instance_segmentation_loss_poly: 0.7848 detection_loss_cls: 0.0522 detection_loss_reg: 0.4404 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0503 2023/11/02 08:20:23 - mmengine - INFO - Iter(train) [208300/320000] base_lr: 5.5796e-05 lr: 2.3192e-05 eta: 2 days, 22:03:16 time: 2.2717 data_time: 0.1414 memory: 25856 grad_norm: 1.3635 loss: 1.3959 caption_loss_cls: 2.3551 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7839 detection_loss_cls: 0.0522 detection_loss_reg: 0.4413 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0488 2023/11/02 08:23:58 - mmengine - INFO - Iter(train) [208400/320000] base_lr: 5.5710e-05 lr: 2.3158e-05 eta: 2 days, 21:58:20 time: 2.2680 data_time: 0.1415 memory: 26535 grad_norm: 1.3613 loss: 1.3977 caption_loss_cls: 2.3549 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7832 detection_loss_cls: 0.0522 detection_loss_reg: 0.4407 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0460 2023/11/02 08:27:59 - mmengine - INFO - Iter(train) [208500/320000] base_lr: 5.5623e-05 lr: 2.3124e-05 eta: 2 days, 21:56:07 time: 2.2738 data_time: 0.1415 memory: 26535 grad_norm: 1.3524 loss: 1.4007 caption_loss_cls: 2.3561 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7850 detection_loss_cls: 0.0521 detection_loss_reg: 0.4403 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0449 2023/11/02 08:27:59 - mmengine - INFO - Saving checkpoint at 208500 iterations 2023/11/02 08:32:30 - mmengine - INFO - Iter(train) [208600/320000] base_lr: 5.5537e-05 lr: 2.3090e-05 eta: 2 days, 21:57:07 time: 2.2703 data_time: 0.1414 memory: 25856 grad_norm: 1.3530 loss: 1.4009 caption_loss_cls: 2.3564 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7867 detection_loss_cls: 0.0519 detection_loss_reg: 0.4399 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0444 2023/11/02 08:36:04 - mmengine - INFO - Iter(train) [208700/320000] base_lr: 5.5451e-05 lr: 2.3056e-05 eta: 2 days, 21:52:08 time: 2.2640 data_time: 0.1412 memory: 26535 grad_norm: 1.3510 loss: 1.3977 caption_loss_cls: 2.3543 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7868 detection_loss_cls: 0.0519 detection_loss_reg: 0.4400 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0424 2023/11/02 08:39:29 - mmengine - INFO - Iter(train) [208800/320000] base_lr: 5.5364e-05 lr: 2.3022e-05 eta: 2 days, 21:46:10 time: 2.2636 data_time: 0.1412 memory: 25856 grad_norm: 1.3426 loss: 1.3955 caption_loss_cls: 2.3558 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2957 instance_segmentation_loss_poly: 0.7874 detection_loss_cls: 0.0519 detection_loss_reg: 0.4396 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0437 2023/11/02 08:43:06 - mmengine - INFO - Iter(train) [208900/320000] base_lr: 5.5278e-05 lr: 2.2988e-05 eta: 2 days, 21:41:26 time: 2.2621 data_time: 0.1411 memory: 26535 grad_norm: 1.3441 loss: 1.3968 caption_loss_cls: 2.3542 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7871 detection_loss_cls: 0.0521 detection_loss_reg: 0.4411 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0426 2023/11/02 08:46:27 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 08:46:27 - mmengine - INFO - Iter(train) [209000/320000] base_lr: 5.5192e-05 lr: 2.2954e-05 eta: 2 days, 21:35:09 time: 2.2624 data_time: 0.1411 memory: 26535 grad_norm: 1.3466 loss: 1.4003 caption_loss_cls: 2.3554 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7873 detection_loss_cls: 0.0521 detection_loss_reg: 0.4412 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0389 2023/11/02 08:46:27 - mmengine - INFO - Saving checkpoint at 209000 iterations 2023/11/02 08:51:09 - mmengine - INFO - Iter(train) [209100/320000] base_lr: 5.5106e-05 lr: 2.2920e-05 eta: 2 days, 21:37:07 time: 2.2694 data_time: 0.1419 memory: 25856 grad_norm: 1.3358 loss: 1.3922 caption_loss_cls: 2.3551 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7866 detection_loss_cls: 0.0519 detection_loss_reg: 0.4408 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0391 2023/11/02 08:54:39 - mmengine - INFO - Iter(train) [209200/320000] base_lr: 5.5020e-05 lr: 2.2887e-05 eta: 2 days, 21:31:48 time: 2.2664 data_time: 0.1418 memory: 25856 grad_norm: 1.3383 loss: 1.3890 caption_loss_cls: 2.3528 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2955 instance_segmentation_loss_poly: 0.7873 detection_loss_cls: 0.0520 detection_loss_reg: 0.4411 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0391 2023/11/02 08:58:01 - mmengine - INFO - Iter(train) [209300/320000] base_lr: 5.4934e-05 lr: 2.2853e-05 eta: 2 days, 21:25:34 time: 2.2658 data_time: 0.1419 memory: 26535 grad_norm: 1.3182 loss: 1.3822 caption_loss_cls: 2.3511 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7861 detection_loss_cls: 0.0521 detection_loss_reg: 0.4414 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0390 2023/11/02 09:01:10 - mmengine - INFO - Iter(train) [209400/320000] base_lr: 5.4848e-05 lr: 2.2819e-05 eta: 2 days, 21:18:07 time: 2.2553 data_time: 0.1417 memory: 25856 grad_norm: 1.3290 loss: 1.3867 caption_loss_cls: 2.3505 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2948 instance_segmentation_loss_poly: 0.7853 detection_loss_cls: 0.0522 detection_loss_reg: 0.4417 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0386 2023/11/02 09:04:33 - mmengine - INFO - Iter(train) [209500/320000] base_lr: 5.4762e-05 lr: 2.2785e-05 eta: 2 days, 21:12:08 time: 2.2567 data_time: 0.1417 memory: 25856 grad_norm: 1.3241 loss: 1.3809 caption_loss_cls: 2.3493 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7858 detection_loss_cls: 0.0522 detection_loss_reg: 0.4420 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0379 2023/11/02 09:04:33 - mmengine - INFO - Saving checkpoint at 209500 iterations 2023/11/02 09:09:33 - mmengine - INFO - Iter(train) [209600/320000] base_lr: 5.4676e-05 lr: 2.2751e-05 eta: 2 days, 21:15:41 time: 2.2647 data_time: 0.1419 memory: 25856 grad_norm: 1.3195 loss: 1.3743 caption_loss_cls: 2.3496 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7849 detection_loss_cls: 0.0522 detection_loss_reg: 0.4424 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0368 2023/11/02 09:13:38 - mmengine - INFO - Iter(train) [209700/320000] base_lr: 5.4590e-05 lr: 2.2717e-05 eta: 2 days, 21:13:47 time: 2.2717 data_time: 0.1420 memory: 26535 grad_norm: 1.3267 loss: 1.3761 caption_loss_cls: 2.3489 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7856 detection_loss_cls: 0.0522 detection_loss_reg: 0.4423 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0345 2023/11/02 09:16:46 - mmengine - INFO - Iter(train) [209800/320000] base_lr: 5.4504e-05 lr: 2.2683e-05 eta: 2 days, 21:06:21 time: 2.2621 data_time: 0.1419 memory: 25856 grad_norm: 1.3292 loss: 1.3756 caption_loss_cls: 2.3496 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7861 detection_loss_cls: 0.0521 detection_loss_reg: 0.4420 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0318 2023/11/02 09:20:03 - mmengine - INFO - Iter(train) [209900/320000] base_lr: 5.4418e-05 lr: 2.2650e-05 eta: 2 days, 20:59:46 time: 2.2533 data_time: 0.1419 memory: 25856 grad_norm: 1.3335 loss: 1.3799 caption_loss_cls: 2.3507 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7861 detection_loss_cls: 0.0521 detection_loss_reg: 0.4416 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0293 2023/11/02 09:23:54 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 09:23:54 - mmengine - INFO - Iter(train) [210000/320000] base_lr: 5.4333e-05 lr: 2.2616e-05 eta: 2 days, 20:56:33 time: 2.2518 data_time: 0.1419 memory: 25856 grad_norm: 1.3364 loss: 1.3850 caption_loss_cls: 2.3541 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2949 instance_segmentation_loss_poly: 0.7857 detection_loss_cls: 0.0521 detection_loss_reg: 0.4416 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0303 2023/11/02 09:23:54 - mmengine - INFO - Saving checkpoint at 210000 iterations 2023/11/02 09:28:34 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.4142 data_time: 0.0309 memory: 14028 2023/11/02 09:29:21 - mmengine - INFO - Evaluating bbox... 2023/11/02 09:30:23 - mmengine - INFO - bbox_mAP_copypaste: 0.467 0.640 0.505 0.309 0.514 0.611 2023/11/02 09:30:23 - mmengine - INFO - Evaluating segm... 2023/11/02 09:31:39 - mmengine - INFO - segm_mAP_copypaste: 0.292 0.529 0.285 0.158 0.334 0.454 2023/11/02 09:32:37 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3705 data_time: 0.0295 memory: 14028 2023/11/02 09:32:58 - mmengine - INFO - Evaluating bbox... 2023/11/02 09:34:05 - mmengine - INFO - bbox_mAP_copypaste: 0.468 0.642 0.506 0.309 0.515 0.612 2023/11/02 09:36:48 - mmengine - INFO - per class results: 2023/11/02 09:36:48 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 75.23 | 85.58 | | building | 80.48 | 92.61 | | sky | 93.15 | 97.02 | | floor | 79.91 | 85.66 | | tree | 72.89 | 89.19 | | ceiling | 80.59 | 94.47 | | road | 82.64 | 88.58 | | bed | 85.59 | 94.16 | | windowpane | 60.31 | 79.7 | | grass | 63.62 | 76.52 | | cabinet | 57.56 | 66.72 | | sidewalk | 63.39 | 73.96 | | person | 79.23 | 89.53 | | earth | 36.37 | 49.64 | | door | 45.73 | 55.68 | | table | 56.2 | 71.91 | | mountain | 56.57 | 68.14 | | plant | 50.2 | 66.28 | | curtain | 70.57 | 84.71 | | chair | 53.94 | 75.22 | | car | 79.53 | 89.52 | | water | 52.88 | 75.81 | | painting | 67.99 | 86.65 | | sofa | 63.81 | 77.47 | | shelf | 38.94 | 52.31 | | house | 43.17 | 58.29 | | sea | 52.65 | 63.1 | | mirror | 56.95 | 70.47 | | rug | 66.42 | 85.12 | | field | 28.58 | 56.91 | | armchair | 40.36 | 60.53 | | seat | 63.36 | 79.05 | | fence | 41.52 | 61.54 | | desk | 40.93 | 59.32 | | rock | 40.28 | 53.98 | | wardrobe | 50.22 | 66.69 | | lamp | 55.72 | 65.98 | | bathtub | 62.5 | 81.15 | | railing | 32.49 | 42.1 | | cushion | 53.28 | 68.05 | | base | 24.25 | 51.1 | | box | 23.44 | 27.42 | | column | 41.49 | 49.38 | | signboard | 35.45 | 52.4 | | chest of drawers | 34.58 | 61.11 | | counter | 22.07 | 31.71 | | sand | 50.17 | 71.59 | | sink | 64.26 | 79.12 | | skyscraper | 49.55 | 57.76 | | fireplace | 63.47 | 83.64 | | refrigerator | 69.56 | 85.52 | | grandstand | 41.27 | 75.17 | | path | 22.09 | 31.69 | | stairs | 32.35 | 54.69 | | runway | 70.34 | 90.02 | | case | 55.24 | 82.31 | | pool table | 86.21 | 95.94 | | pillow | 45.77 | 55.3 | | screen door | 64.01 | 74.85 | | stairway | 20.61 | 21.6 | | river | 21.53 | 28.19 | | bridge | 51.2 | 61.72 | | bookcase | 31.24 | 53.75 | | blind | 29.29 | 31.55 | | coffee table | 56.67 | 80.99 | | toilet | 82.44 | 89.68 | | flower | 28.85 | 43.89 | | book | 40.06 | 68.22 | | hill | 9.74 | 15.04 | | bench | 45.43 | 59.16 | | countertop | 54.85 | 70.85 | | stove | 64.45 | 85.79 | | palm | 45.15 | 56.7 | | kitchen island | 26.89 | 42.01 | | computer | 68.88 | 87.15 | | swivel chair | 36.86 | 51.25 | | boat | 62.99 | 81.16 | | bar | 22.67 | 25.99 | | arcade machine | 46.25 | 54.39 | | hovel | 27.76 | 31.5 | | bus | 90.18 | 93.4 | | towel | 56.67 | 76.01 | | light | 36.99 | 42.69 | | truck | 35.87 | 59.71 | | tower | 14.32 | 18.17 | | chandelier | 60.6 | 72.98 | | awning | 31.29 | 35.0 | | streetlight | 30.96 | 38.28 | | booth | 34.55 | 41.46 | | television receiver | 56.35 | 87.85 | | airplane | 54.97 | 61.04 | | dirt track | 3.18 | 30.84 | | apparel | 30.99 | 47.85 | | pole | 25.32 | 41.64 | | land | 0.0 | 0.0 | | bannister | 1.95 | 2.57 | | escalator | 43.97 | 66.55 | | ottoman | 37.35 | 51.01 | | bottle | 20.08 | 24.84 | | buffet | 50.37 | 60.32 | | poster | 25.32 | 32.67 | | stage | 10.97 | 16.91 | | van | 32.39 | 42.55 | | ship | 62.77 | 70.56 | | fountain | 16.62 | 17.66 | | conveyer belt | 44.99 | 96.73 | | canopy | 26.44 | 37.14 | | washer | 57.2 | 61.57 | | plaything | 23.01 | 30.65 | | swimming pool | 24.92 | 96.87 | | stool | 39.37 | 46.33 | | barrel | 11.76 | 59.35 | | basket | 28.07 | 44.99 | | waterfall | 44.2 | 48.2 | | tent | 91.87 | 95.66 | | bag | 8.21 | 8.97 | | minibike | 69.95 | 82.65 | | cradle | 64.49 | 83.85 | | oven | 17.25 | 19.06 | | ball | 44.5 | 70.97 | | food | 51.74 | 64.81 | | step | 5.53 | 6.94 | | tank | 39.79 | 51.11 | | trade name | 9.5 | 9.91 | | microwave | 81.26 | 94.7 | | pot | 35.21 | 40.08 | | animal | 64.92 | 69.91 | | bicycle | 54.91 | 85.09 | | lake | 0.0 | 0.0 | | dishwasher | 34.98 | 80.55 | | screen | 63.2 | 80.28 | | blanket | 3.95 | 4.2 | | sculpture | 44.81 | 58.18 | | hood | 47.99 | 51.3 | | sconce | 28.77 | 39.52 | | vase | 29.91 | 36.55 | | traffic light | 23.6 | 27.27 | | tray | 3.72 | 5.45 | | ashcan | 36.02 | 43.35 | | fan | 46.67 | 54.2 | | pier | 23.15 | 23.97 | | crt screen | 3.26 | 12.21 | | plate | 51.15 | 65.3 | | monitor | 10.33 | 12.68 | | bulletin board | 35.01 | 60.34 | | shower | 3.92 | 5.11 | | radiator | 52.98 | 63.55 | | glass | 12.63 | 13.52 | | clock | 16.38 | 22.27 | | flag | 57.29 | 69.26 | +---------------------+-------+-------+ 2023/11/02 09:36:55 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.4680 coco/bbox_mAP_50: 0.6420 coco/bbox_mAP_75: 0.5060 coco/bbox_mAP_s: 0.3090 coco/bbox_mAP_m: 0.5150 coco/bbox_mAP_l: 0.6120 coco/segm_mAP: 0.2920 coco/segm_mAP_50: 0.5290 coco/segm_mAP_75: 0.2850 coco/segm_mAP_s: 0.1580 coco/segm_mAP_m: 0.3340 coco/segm_mAP_l: 0.4540 Bleu_1: 0.7459 Bleu_2: 0.5730 Bleu_3: 0.4301 Bleu_4: 0.3206 METEOR: 0.2667 ROUGE_L: 0.5490 CIDEr: 1.0566 SPICE: 0.1964 aAcc: 81.2300 mIoU: 43.8500 mAcc: 57.0500 visual-grounding/miou: 0.7516 visual-grounding/acc: 0.8229 data_time: 0.0262 time: 1.0505 2023/11/02 09:40:50 - mmengine - INFO - Iter(train) [210100/320000] base_lr: 5.4247e-05 lr: 2.2582e-05 eta: 2 days, 20:53:54 time: 2.2451 data_time: 0.1272 memory: 26535 grad_norm: 1.3397 loss: 1.3817 caption_loss_cls: 2.3555 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2946 instance_segmentation_loss_poly: 0.7855 detection_loss_cls: 0.0521 detection_loss_reg: 0.4413 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0298 2023/11/02 09:44:08 - mmengine - INFO - Iter(train) [210200/320000] base_lr: 5.4161e-05 lr: 2.2548e-05 eta: 2 days, 20:47:28 time: 2.2347 data_time: 0.1271 memory: 25856 grad_norm: 1.3479 loss: 1.3808 caption_loss_cls: 2.3554 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2945 instance_segmentation_loss_poly: 0.7850 detection_loss_cls: 0.0521 detection_loss_reg: 0.4408 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0290 2023/11/02 09:47:44 - mmengine - INFO - Iter(train) [210300/320000] base_lr: 5.4076e-05 lr: 2.2515e-05 eta: 2 days, 20:42:46 time: 2.2245 data_time: 0.1270 memory: 26535 grad_norm: 1.3546 loss: 1.3863 caption_loss_cls: 2.3522 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2944 instance_segmentation_loss_poly: 0.7845 detection_loss_cls: 0.0521 detection_loss_reg: 0.4405 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0278 2023/11/02 09:51:28 - mmengine - INFO - Iter(train) [210400/320000] base_lr: 5.3990e-05 lr: 2.2481e-05 eta: 2 days, 20:38:54 time: 2.2218 data_time: 0.1270 memory: 26535 grad_norm: 1.3401 loss: 1.3820 caption_loss_cls: 2.3516 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2954 instance_segmentation_loss_poly: 0.7862 detection_loss_cls: 0.0521 detection_loss_reg: 0.4402 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0268 2023/11/02 09:55:14 - mmengine - INFO - Iter(train) [210500/320000] base_lr: 5.3905e-05 lr: 2.2447e-05 eta: 2 days, 20:35:07 time: 2.2261 data_time: 0.1270 memory: 25856 grad_norm: 1.3401 loss: 1.3818 caption_loss_cls: 2.3522 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7871 detection_loss_cls: 0.0520 detection_loss_reg: 0.4398 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0222 2023/11/02 09:55:14 - mmengine - INFO - Saving checkpoint at 210500 iterations 2023/11/02 09:59:37 - mmengine - INFO - Iter(train) [210600/320000] base_lr: 5.3819e-05 lr: 2.2414e-05 eta: 2 days, 20:34:53 time: 2.2265 data_time: 0.1272 memory: 25856 grad_norm: 1.3335 loss: 1.3747 caption_loss_cls: 2.3522 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2959 instance_segmentation_loss_poly: 0.7873 detection_loss_cls: 0.0520 detection_loss_reg: 0.4399 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0196 2023/11/02 10:03:18 - mmengine - INFO - Iter(train) [210700/320000] base_lr: 5.3734e-05 lr: 2.2380e-05 eta: 2 days, 20:30:40 time: 2.2289 data_time: 0.1271 memory: 26535 grad_norm: 1.3306 loss: 1.3765 caption_loss_cls: 2.3543 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7874 detection_loss_cls: 0.0519 detection_loss_reg: 0.4400 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0199 2023/11/02 10:07:07 - mmengine - INFO - Iter(train) [210800/320000] base_lr: 5.3648e-05 lr: 2.2346e-05 eta: 2 days, 20:27:15 time: 2.2327 data_time: 0.1272 memory: 26535 grad_norm: 1.3346 loss: 1.3766 caption_loss_cls: 2.3533 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7885 detection_loss_cls: 0.0519 detection_loss_reg: 0.4403 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0172 2023/11/02 10:10:56 - mmengine - INFO - Iter(train) [210900/320000] base_lr: 5.3563e-05 lr: 2.2313e-05 eta: 2 days, 20:23:45 time: 2.2384 data_time: 0.1273 memory: 26535 grad_norm: 1.3291 loss: 1.3728 caption_loss_cls: 2.3522 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7890 detection_loss_cls: 0.0517 detection_loss_reg: 0.4403 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0169 2023/11/02 10:14:09 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 10:14:09 - mmengine - INFO - Iter(train) [211000/320000] base_lr: 5.3478e-05 lr: 2.2279e-05 eta: 2 days, 20:17:01 time: 2.2327 data_time: 0.1272 memory: 25856 grad_norm: 1.3442 loss: 1.3769 caption_loss_cls: 2.3520 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7889 detection_loss_cls: 0.0517 detection_loss_reg: 0.4401 semantic_segmentation_loss_cls: 0.0123 grounding_loss_reg: 3.0178 2023/11/02 10:14:09 - mmengine - INFO - Saving checkpoint at 211000 iterations 2023/11/02 10:18:54 - mmengine - INFO - Iter(train) [211100/320000] base_lr: 5.3392e-05 lr: 2.2246e-05 eta: 2 days, 20:18:36 time: 2.2338 data_time: 0.1269 memory: 25856 grad_norm: 1.3395 loss: 1.3753 caption_loss_cls: 2.3520 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2973 instance_segmentation_loss_poly: 0.7893 detection_loss_cls: 0.0517 detection_loss_reg: 0.4395 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0156 2023/11/02 10:22:54 - mmengine - INFO - Iter(train) [211200/320000] base_lr: 5.3307e-05 lr: 2.2212e-05 eta: 2 days, 20:16:08 time: 2.2388 data_time: 0.1269 memory: 26535 grad_norm: 1.3382 loss: 1.3768 caption_loss_cls: 2.3529 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7879 detection_loss_cls: 0.0516 detection_loss_reg: 0.4393 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0129 2023/11/02 10:26:07 - mmengine - INFO - Iter(train) [211300/320000] base_lr: 5.3222e-05 lr: 2.2178e-05 eta: 2 days, 20:09:27 time: 2.2331 data_time: 0.1268 memory: 25856 grad_norm: 1.3296 loss: 1.3752 caption_loss_cls: 2.3537 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7877 detection_loss_cls: 0.0517 detection_loss_reg: 0.4399 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0114 2023/11/02 10:29:48 - mmengine - INFO - Iter(train) [211400/320000] base_lr: 5.3137e-05 lr: 2.2145e-05 eta: 2 days, 20:05:18 time: 2.2354 data_time: 0.1268 memory: 26535 grad_norm: 1.3300 loss: 1.3754 caption_loss_cls: 2.3530 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7880 detection_loss_cls: 0.0516 detection_loss_reg: 0.4403 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0093 2023/11/02 10:33:22 - mmengine - INFO - Iter(train) [211500/320000] base_lr: 5.3052e-05 lr: 2.2111e-05 eta: 2 days, 20:00:27 time: 2.2387 data_time: 0.1269 memory: 26535 grad_norm: 1.3236 loss: 1.3642 caption_loss_cls: 2.3499 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7879 detection_loss_cls: 0.0519 detection_loss_reg: 0.4410 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0072 2023/11/02 10:33:22 - mmengine - INFO - Saving checkpoint at 211500 iterations 2023/11/02 10:37:56 - mmengine - INFO - Iter(train) [211600/320000] base_lr: 5.2967e-05 lr: 2.2078e-05 eta: 2 days, 20:00:59 time: 2.2417 data_time: 0.1276 memory: 25856 grad_norm: 1.3248 loss: 1.3636 caption_loss_cls: 2.3499 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7872 detection_loss_cls: 0.0519 detection_loss_reg: 0.4419 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0080 2023/11/02 10:41:11 - mmengine - INFO - Iter(train) [211700/320000] base_lr: 5.2882e-05 lr: 2.2044e-05 eta: 2 days, 19:54:29 time: 2.2331 data_time: 0.1274 memory: 25856 grad_norm: 1.3226 loss: 1.3620 caption_loss_cls: 2.3503 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2971 instance_segmentation_loss_poly: 0.7873 detection_loss_cls: 0.0519 detection_loss_reg: 0.4419 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0096 2023/11/02 10:44:50 - mmengine - INFO - Iter(train) [211800/320000] base_lr: 5.2797e-05 lr: 2.2011e-05 eta: 2 days, 19:50:05 time: 2.2358 data_time: 0.1274 memory: 26535 grad_norm: 1.3271 loss: 1.3643 caption_loss_cls: 2.3503 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7872 detection_loss_cls: 0.0520 detection_loss_reg: 0.4424 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0098 2023/11/02 10:48:13 - mmengine - INFO - Iter(train) [211900/320000] base_lr: 5.2712e-05 lr: 2.1978e-05 eta: 2 days, 19:44:25 time: 2.2317 data_time: 0.1274 memory: 25856 grad_norm: 1.3353 loss: 1.3709 caption_loss_cls: 2.3532 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7865 detection_loss_cls: 0.0520 detection_loss_reg: 0.4431 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0058 2023/11/02 10:51:56 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 10:51:56 - mmengine - INFO - Iter(train) [212000/320000] base_lr: 5.2627e-05 lr: 2.1944e-05 eta: 2 days, 19:40:23 time: 2.2422 data_time: 0.1275 memory: 26535 grad_norm: 1.3302 loss: 1.3741 caption_loss_cls: 2.3562 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7867 detection_loss_cls: 0.0522 detection_loss_reg: 0.4439 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0040 2023/11/02 10:51:56 - mmengine - INFO - Saving checkpoint at 212000 iterations 2023/11/02 10:56:35 - mmengine - INFO - Iter(train) [212100/320000] base_lr: 5.2543e-05 lr: 2.1911e-05 eta: 2 days, 19:41:10 time: 2.2440 data_time: 0.1276 memory: 25856 grad_norm: 1.3341 loss: 1.3769 caption_loss_cls: 2.3590 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7872 detection_loss_cls: 0.0521 detection_loss_reg: 0.4433 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0043 2023/11/02 11:00:04 - mmengine - INFO - Iter(train) [212200/320000] base_lr: 5.2458e-05 lr: 2.1877e-05 eta: 2 days, 19:36:00 time: 2.2489 data_time: 0.1276 memory: 26535 grad_norm: 1.3286 loss: 1.3764 caption_loss_cls: 2.3592 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7875 detection_loss_cls: 0.0521 detection_loss_reg: 0.4431 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0042 2023/11/02 11:03:53 - mmengine - INFO - Iter(train) [212300/320000] base_lr: 5.2373e-05 lr: 2.1844e-05 eta: 2 days, 19:32:31 time: 2.2571 data_time: 0.1276 memory: 26535 grad_norm: 1.3248 loss: 1.3705 caption_loss_cls: 2.3589 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7872 detection_loss_cls: 0.0520 detection_loss_reg: 0.4422 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0044 2023/11/02 11:07:34 - mmengine - INFO - Iter(train) [212400/320000] base_lr: 5.2289e-05 lr: 2.1811e-05 eta: 2 days, 19:28:20 time: 2.2586 data_time: 0.1283 memory: 26535 grad_norm: 1.3230 loss: 1.3656 caption_loss_cls: 2.3558 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7866 detection_loss_cls: 0.0518 detection_loss_reg: 0.4420 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0025 2023/11/02 11:11:10 - mmengine - INFO - Iter(train) [212500/320000] base_lr: 5.2204e-05 lr: 2.1777e-05 eta: 2 days, 19:23:45 time: 2.2525 data_time: 0.1282 memory: 25856 grad_norm: 1.3242 loss: 1.3610 caption_loss_cls: 2.3565 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7869 detection_loss_cls: 0.0519 detection_loss_reg: 0.4418 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0017 2023/11/02 11:11:10 - mmengine - INFO - Saving checkpoint at 212500 iterations 2023/11/02 11:16:07 - mmengine - INFO - Iter(train) [212600/320000] base_lr: 5.2119e-05 lr: 2.1744e-05 eta: 2 days, 19:25:54 time: 2.2590 data_time: 0.1281 memory: 26535 grad_norm: 1.3262 loss: 1.3615 caption_loss_cls: 2.3565 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2975 instance_segmentation_loss_poly: 0.7871 detection_loss_cls: 0.0517 detection_loss_reg: 0.4412 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0018 2023/11/02 11:19:52 - mmengine - INFO - Iter(train) [212700/320000] base_lr: 5.2035e-05 lr: 2.1711e-05 eta: 2 days, 19:22:05 time: 2.2618 data_time: 0.1282 memory: 26535 grad_norm: 1.3298 loss: 1.3646 caption_loss_cls: 2.3566 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2976 instance_segmentation_loss_poly: 0.7869 detection_loss_cls: 0.0517 detection_loss_reg: 0.4404 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 3.0018 2023/11/02 11:23:34 - mmengine - INFO - Iter(train) [212800/320000] base_lr: 5.1950e-05 lr: 2.1677e-05 eta: 2 days, 19:17:58 time: 2.2660 data_time: 0.1282 memory: 25856 grad_norm: 1.3300 loss: 1.3582 caption_loss_cls: 2.3576 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7858 detection_loss_cls: 0.0515 detection_loss_reg: 0.4394 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 2.9998 2023/11/02 11:27:21 - mmengine - INFO - Iter(train) [212900/320000] base_lr: 5.1866e-05 lr: 2.1644e-05 eta: 2 days, 19:14:15 time: 2.2685 data_time: 0.1281 memory: 25856 grad_norm: 1.3290 loss: 1.3561 caption_loss_cls: 2.3588 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7850 detection_loss_cls: 0.0515 detection_loss_reg: 0.4394 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 2.9985 2023/11/02 11:31:09 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 11:31:09 - mmengine - INFO - Iter(train) [213000/320000] base_lr: 5.1782e-05 lr: 2.1611e-05 eta: 2 days, 19:10:38 time: 2.2752 data_time: 0.1283 memory: 26535 grad_norm: 1.3309 loss: 1.3513 caption_loss_cls: 2.3589 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_reg: 0.2974 instance_segmentation_loss_poly: 0.7860 detection_loss_cls: 0.0516 detection_loss_reg: 0.4401 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 2.9975 2023/11/02 11:31:09 - mmengine - INFO - Saving checkpoint at 213000 iterations 2023/11/02 11:35:40 - mmengine - INFO - Iter(train) [213100/320000] base_lr: 5.1697e-05 lr: 2.1578e-05 eta: 2 days, 19:10:33 time: 2.2727 data_time: 0.1285 memory: 26535 grad_norm: 1.3364 loss: 1.3586 caption_loss_cls: 2.3599 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2968 instance_segmentation_loss_poly: 0.7846 detection_loss_cls: 0.0516 detection_loss_reg: 0.4404 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 2.9955 2023/11/02 11:39:05 - mmengine - INFO - Iter(train) [213200/320000] base_lr: 5.1613e-05 lr: 2.1545e-05 eta: 2 days, 19:05:03 time: 2.2711 data_time: 0.1286 memory: 26535 grad_norm: 1.3350 loss: 1.3619 caption_loss_cls: 2.3590 instance_segmentation_loss_cls: 0.0349 instance_segmentation_loss_reg: 0.2970 instance_segmentation_loss_poly: 0.7850 detection_loss_cls: 0.0516 detection_loss_reg: 0.4404 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 2.9942 2023/11/02 11:42:45 - mmengine - INFO - Iter(train) [213300/320000] base_lr: 5.1529e-05 lr: 2.1511e-05 eta: 2 days, 19:00:47 time: 2.2758 data_time: 0.1287 memory: 25856 grad_norm: 1.3200 loss: 1.3655 caption_loss_cls: 2.3621 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7835 detection_loss_cls: 0.0515 detection_loss_reg: 0.4401 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 2.9931 2023/11/02 11:46:49 - mmengine - INFO - Iter(train) [213400/320000] base_lr: 5.1445e-05 lr: 2.1478e-05 eta: 2 days, 18:58:25 time: 2.2894 data_time: 0.1289 memory: 25856 grad_norm: 1.3101 loss: 1.3603 caption_loss_cls: 2.3625 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2966 instance_segmentation_loss_poly: 0.7835 detection_loss_cls: 0.0516 detection_loss_reg: 0.4401 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 2.9931 2023/11/02 11:50:20 - mmengine - INFO - Iter(train) [213500/320000] base_lr: 5.1361e-05 lr: 2.1445e-05 eta: 2 days, 18:53:25 time: 2.2913 data_time: 0.1289 memory: 25856 grad_norm: 1.3133 loss: 1.3616 caption_loss_cls: 2.3634 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7831 detection_loss_cls: 0.0515 detection_loss_reg: 0.4406 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 2.9915 2023/11/02 11:50:20 - mmengine - INFO - Saving checkpoint at 213500 iterations 2023/11/02 11:54:57 - mmengine - INFO - Iter(train) [213600/320000] base_lr: 5.1277e-05 lr: 2.1412e-05 eta: 2 days, 18:53:43 time: 2.2859 data_time: 0.1284 memory: 25856 grad_norm: 1.3205 loss: 1.3652 caption_loss_cls: 2.3625 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2965 instance_segmentation_loss_poly: 0.7833 detection_loss_cls: 0.0515 detection_loss_reg: 0.4405 semantic_segmentation_loss_cls: 0.0122 grounding_loss_reg: 2.9906 2023/11/02 11:58:31 - mmengine - INFO - Iter(train) [213700/320000] base_lr: 5.1193e-05 lr: 2.1379e-05 eta: 2 days, 18:48:57 time: 2.2781 data_time: 0.1283 memory: 26535 grad_norm: 1.3136 loss: 1.3645 caption_loss_cls: 2.3644 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7825 detection_loss_cls: 0.0514 detection_loss_reg: 0.4403 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9898 2023/11/02 12:02:31 - mmengine - INFO - Iter(train) [213800/320000] base_lr: 5.1109e-05 lr: 2.1346e-05 eta: 2 days, 18:46:13 time: 2.2910 data_time: 0.1285 memory: 26535 grad_norm: 1.3156 loss: 1.3639 caption_loss_cls: 2.3637 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2967 instance_segmentation_loss_poly: 0.7829 detection_loss_cls: 0.0513 detection_loss_reg: 0.4394 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9873 2023/11/02 12:06:50 - mmengine - INFO - Iter(train) [213900/320000] base_lr: 5.1025e-05 lr: 2.1313e-05 eta: 2 days, 18:45:00 time: 2.3066 data_time: 0.1307 memory: 25856 grad_norm: 1.3095 loss: 1.3601 caption_loss_cls: 2.3590 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2969 instance_segmentation_loss_poly: 0.7831 detection_loss_cls: 0.0513 detection_loss_reg: 0.4388 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9856 2023/11/02 12:10:04 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 12:10:04 - mmengine - INFO - Iter(train) [214000/320000] base_lr: 5.0941e-05 lr: 2.1280e-05 eta: 2 days, 18:38:40 time: 2.2971 data_time: 0.1306 memory: 26535 grad_norm: 1.3204 loss: 1.3598 caption_loss_cls: 2.3593 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_reg: 0.2972 instance_segmentation_loss_poly: 0.7842 detection_loss_cls: 0.0513 detection_loss_reg: 0.4388 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9834 2023/11/02 12:10:04 - mmengine - INFO - Saving checkpoint at 214000 iterations 2023/11/02 12:14:29 - mmengine - INFO - Iter(train) [214100/320000] base_lr: 5.0857e-05 lr: 2.1247e-05 eta: 2 days, 18:37:55 time: 2.3043 data_time: 0.1461 memory: 25856 grad_norm: 1.3200 loss: 1.3613 caption_loss_cls: 2.3591 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2964 instance_segmentation_loss_poly: 0.7832 detection_loss_cls: 0.0512 detection_loss_reg: 0.4388 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9818 2023/11/02 12:18:11 - mmengine - INFO - Iter(train) [214200/320000] base_lr: 5.0773e-05 lr: 2.1214e-05 eta: 2 days, 18:33:46 time: 2.3102 data_time: 0.1461 memory: 25856 grad_norm: 1.3044 loss: 1.3515 caption_loss_cls: 2.3580 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2962 instance_segmentation_loss_poly: 0.7830 detection_loss_cls: 0.0513 detection_loss_reg: 0.4385 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9816 2023/11/02 12:21:31 - mmengine - INFO - Iter(train) [214300/320000] base_lr: 5.0689e-05 lr: 2.1181e-05 eta: 2 days, 18:28:00 time: 2.3064 data_time: 0.1460 memory: 26535 grad_norm: 1.3090 loss: 1.3486 caption_loss_cls: 2.3578 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2961 instance_segmentation_loss_poly: 0.7825 detection_loss_cls: 0.0512 detection_loss_reg: 0.4378 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9780 2023/11/02 12:24:32 - mmengine - INFO - Iter(train) [214400/320000] base_lr: 5.0606e-05 lr: 2.1148e-05 eta: 2 days, 18:20:45 time: 2.2954 data_time: 0.1459 memory: 25856 grad_norm: 1.3243 loss: 1.3562 caption_loss_cls: 2.3558 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2958 instance_segmentation_loss_poly: 0.7816 detection_loss_cls: 0.0513 detection_loss_reg: 0.4381 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9765 2023/11/02 12:27:51 - mmengine - INFO - Iter(train) [214500/320000] base_lr: 5.0522e-05 lr: 2.1115e-05 eta: 2 days, 18:14:58 time: 2.2889 data_time: 0.1458 memory: 25856 grad_norm: 1.3242 loss: 1.3592 caption_loss_cls: 2.3550 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2956 instance_segmentation_loss_poly: 0.7809 detection_loss_cls: 0.0513 detection_loss_reg: 0.4380 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9759 2023/11/02 12:27:51 - mmengine - INFO - Saving checkpoint at 214500 iterations 2023/11/02 12:32:36 - mmengine - INFO - Iter(train) [214600/320000] base_lr: 5.0439e-05 lr: 2.1082e-05 eta: 2 days, 18:15:34 time: 2.2942 data_time: 0.1454 memory: 26535 grad_norm: 1.3254 loss: 1.3630 caption_loss_cls: 2.3573 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2953 instance_segmentation_loss_poly: 0.7807 detection_loss_cls: 0.0514 detection_loss_reg: 0.4385 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9753 2023/11/02 12:36:03 - mmengine - INFO - Iter(train) [214700/320000] base_lr: 5.0355e-05 lr: 2.1049e-05 eta: 2 days, 18:10:26 time: 2.2910 data_time: 0.1454 memory: 26535 grad_norm: 1.3256 loss: 1.3591 caption_loss_cls: 2.3580 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2951 instance_segmentation_loss_poly: 0.7799 detection_loss_cls: 0.0514 detection_loss_reg: 0.4384 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9740 2023/11/02 12:38:53 - mmengine - INFO - Iter(train) [214800/320000] base_lr: 5.0271e-05 lr: 2.1016e-05 eta: 2 days, 18:02:27 time: 2.2759 data_time: 0.1452 memory: 25856 grad_norm: 1.3328 loss: 1.3651 caption_loss_cls: 2.3573 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.7802 detection_loss_cls: 0.0514 detection_loss_reg: 0.4392 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9740 2023/11/02 12:42:08 - mmengine - INFO - Iter(train) [214900/320000] base_lr: 5.0188e-05 lr: 2.0983e-05 eta: 2 days, 17:56:27 time: 2.2677 data_time: 0.1451 memory: 26535 grad_norm: 1.3373 loss: 1.3671 caption_loss_cls: 2.3565 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2952 instance_segmentation_loss_poly: 0.7803 detection_loss_cls: 0.0514 detection_loss_reg: 0.4394 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9740 2023/11/02 12:45:38 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 12:45:38 - mmengine - INFO - Iter(train) [215000/320000] base_lr: 5.0105e-05 lr: 2.0950e-05 eta: 2 days, 17:51:32 time: 2.2719 data_time: 0.1452 memory: 25856 grad_norm: 1.3230 loss: 1.3613 caption_loss_cls: 2.3578 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7795 detection_loss_cls: 0.0514 detection_loss_reg: 0.4394 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9736 2023/11/02 12:45:38 - mmengine - INFO - Saving checkpoint at 215000 iterations 2023/11/02 12:49:51 - mmengine - INFO - Iter(train) [215100/320000] base_lr: 5.0021e-05 lr: 2.0917e-05 eta: 2 days, 17:49:44 time: 2.2640 data_time: 0.1450 memory: 26535 grad_norm: 1.3435 loss: 1.3650 caption_loss_cls: 2.3579 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7797 detection_loss_cls: 0.0514 detection_loss_reg: 0.4385 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9722 2023/11/02 12:53:17 - mmengine - INFO - Iter(train) [215200/320000] base_lr: 4.9938e-05 lr: 2.0885e-05 eta: 2 days, 17:44:32 time: 2.2554 data_time: 0.1450 memory: 26535 grad_norm: 1.3524 loss: 1.3700 caption_loss_cls: 2.3562 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_reg: 0.2950 instance_segmentation_loss_poly: 0.7796 detection_loss_cls: 0.0516 detection_loss_reg: 0.4393 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9724 2023/11/02 12:56:49 - mmengine - INFO - Iter(train) [215300/320000] base_lr: 4.9855e-05 lr: 2.0852e-05 eta: 2 days, 17:39:44 time: 2.2599 data_time: 0.1450 memory: 26535 grad_norm: 1.3493 loss: 1.3662 caption_loss_cls: 2.3560 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2938 instance_segmentation_loss_poly: 0.7777 detection_loss_cls: 0.0516 detection_loss_reg: 0.4390 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9719 2023/11/02 13:00:44 - mmengine - INFO - Iter(train) [215400/320000] base_lr: 4.9772e-05 lr: 2.0819e-05 eta: 2 days, 17:36:40 time: 2.2635 data_time: 0.1450 memory: 26535 grad_norm: 1.3510 loss: 1.3666 caption_loss_cls: 2.3581 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7784 detection_loss_cls: 0.0518 detection_loss_reg: 0.4405 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9712 2023/11/02 13:04:55 - mmengine - INFO - Iter(train) [215500/320000] base_lr: 4.9688e-05 lr: 2.0786e-05 eta: 2 days, 17:34:42 time: 2.2729 data_time: 0.1451 memory: 26535 grad_norm: 1.3476 loss: 1.3685 caption_loss_cls: 2.3580 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7778 detection_loss_cls: 0.0519 detection_loss_reg: 0.4404 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9691 2023/11/02 13:04:55 - mmengine - INFO - Saving checkpoint at 215500 iterations 2023/11/02 13:09:47 - mmengine - INFO - Iter(train) [215600/320000] base_lr: 4.9605e-05 lr: 2.0754e-05 eta: 2 days, 17:35:36 time: 2.2773 data_time: 0.1449 memory: 25856 grad_norm: 1.3423 loss: 1.3665 caption_loss_cls: 2.3570 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7773 detection_loss_cls: 0.0519 detection_loss_reg: 0.4401 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9697 2023/11/02 13:13:31 - mmengine - INFO - Iter(train) [215700/320000] base_lr: 4.9522e-05 lr: 2.0721e-05 eta: 2 days, 17:31:41 time: 2.2846 data_time: 0.1450 memory: 26535 grad_norm: 1.3319 loss: 1.3611 caption_loss_cls: 2.3571 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7779 detection_loss_cls: 0.0518 detection_loss_reg: 0.4397 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9691 2023/11/02 13:17:19 - mmengine - INFO - Iter(train) [215800/320000] base_lr: 4.9439e-05 lr: 2.0688e-05 eta: 2 days, 17:28:01 time: 2.2870 data_time: 0.1450 memory: 26535 grad_norm: 1.3266 loss: 1.3567 caption_loss_cls: 2.3578 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7779 detection_loss_cls: 0.0518 detection_loss_reg: 0.4392 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9677 2023/11/02 13:21:00 - mmengine - INFO - Iter(train) [215900/320000] base_lr: 4.9356e-05 lr: 2.0656e-05 eta: 2 days, 17:23:53 time: 2.2913 data_time: 0.1451 memory: 25856 grad_norm: 1.3213 loss: 1.3520 caption_loss_cls: 2.3569 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7777 detection_loss_cls: 0.0518 detection_loss_reg: 0.4393 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9678 2023/11/02 13:24:48 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 13:24:48 - mmengine - INFO - Iter(train) [216000/320000] base_lr: 4.9273e-05 lr: 2.0623e-05 eta: 2 days, 17:20:13 time: 2.2926 data_time: 0.1451 memory: 26535 grad_norm: 1.3226 loss: 1.3449 caption_loss_cls: 2.3567 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7766 detection_loss_cls: 0.0516 detection_loss_reg: 0.4388 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9663 2023/11/02 13:24:48 - mmengine - INFO - Saving checkpoint at 216000 iterations 2023/11/02 13:28:50 - mmengine - INFO - Iter(train) [216100/320000] base_lr: 4.9191e-05 lr: 2.0590e-05 eta: 2 days, 17:17:32 time: 2.2834 data_time: 0.1443 memory: 26535 grad_norm: 1.3298 loss: 1.3417 caption_loss_cls: 2.3556 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7759 detection_loss_cls: 0.0516 detection_loss_reg: 0.4378 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9656 2023/11/02 13:32:05 - mmengine - INFO - Iter(train) [216200/320000] base_lr: 4.9108e-05 lr: 2.0558e-05 eta: 2 days, 17:11:39 time: 2.2799 data_time: 0.1442 memory: 25856 grad_norm: 1.3255 loss: 1.3380 caption_loss_cls: 2.3565 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7758 detection_loss_cls: 0.0514 detection_loss_reg: 0.4377 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9648 2023/11/02 13:35:31 - mmengine - INFO - Iter(train) [216300/320000] base_lr: 4.9025e-05 lr: 2.0525e-05 eta: 2 days, 17:06:29 time: 2.2740 data_time: 0.1442 memory: 25856 grad_norm: 1.3292 loss: 1.3427 caption_loss_cls: 2.3537 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7756 detection_loss_cls: 0.0514 detection_loss_reg: 0.4377 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9627 2023/11/02 13:39:10 - mmengine - INFO - Iter(train) [216400/320000] base_lr: 4.8942e-05 lr: 2.0492e-05 eta: 2 days, 17:02:15 time: 2.2737 data_time: 0.1435 memory: 25856 grad_norm: 1.3413 loss: 1.3460 caption_loss_cls: 2.3523 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7753 detection_loss_cls: 0.0515 detection_loss_reg: 0.4378 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9604 2023/11/02 13:43:09 - mmengine - INFO - Iter(train) [216500/320000] base_lr: 4.8860e-05 lr: 2.0460e-05 eta: 2 days, 16:59:21 time: 2.2794 data_time: 0.1435 memory: 25856 grad_norm: 1.3385 loss: 1.3393 caption_loss_cls: 2.3509 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7763 detection_loss_cls: 0.0515 detection_loss_reg: 0.4374 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9565 2023/11/02 13:43:09 - mmengine - INFO - Saving checkpoint at 216500 iterations 2023/11/02 13:47:47 - mmengine - INFO - Iter(train) [216600/320000] base_lr: 4.8777e-05 lr: 2.0427e-05 eta: 2 days, 16:59:02 time: 2.2745 data_time: 0.1434 memory: 26535 grad_norm: 1.3452 loss: 1.3435 caption_loss_cls: 2.3498 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7782 detection_loss_cls: 0.0514 detection_loss_reg: 0.4372 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9561 2023/11/02 13:51:21 - mmengine - INFO - Iter(train) [216700/320000] base_lr: 4.8695e-05 lr: 2.0395e-05 eta: 2 days, 16:54:30 time: 2.2718 data_time: 0.1433 memory: 26535 grad_norm: 1.3424 loss: 1.3404 caption_loss_cls: 2.3478 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7771 detection_loss_cls: 0.0514 detection_loss_reg: 0.4370 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9550 2023/11/02 13:55:19 - mmengine - INFO - Iter(train) [216800/320000] base_lr: 4.8612e-05 lr: 2.0362e-05 eta: 2 days, 16:51:29 time: 2.2758 data_time: 0.1435 memory: 25856 grad_norm: 1.3452 loss: 1.3444 caption_loss_cls: 2.3478 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7770 detection_loss_cls: 0.0514 detection_loss_reg: 0.4372 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9545 2023/11/02 13:59:12 - mmengine - INFO - Iter(train) [216900/320000] base_lr: 4.8530e-05 lr: 2.0330e-05 eta: 2 days, 16:48:09 time: 2.2773 data_time: 0.1436 memory: 25856 grad_norm: 1.3410 loss: 1.3413 caption_loss_cls: 2.3458 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7761 detection_loss_cls: 0.0513 detection_loss_reg: 0.4375 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9515 2023/11/02 14:03:06 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 14:03:06 - mmengine - INFO - Iter(train) [217000/320000] base_lr: 4.8447e-05 lr: 2.0297e-05 eta: 2 days, 16:44:56 time: 2.2790 data_time: 0.1435 memory: 26535 grad_norm: 1.3310 loss: 1.3415 caption_loss_cls: 2.3452 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7751 detection_loss_cls: 0.0514 detection_loss_reg: 0.4382 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9505 2023/11/02 14:03:06 - mmengine - INFO - Saving checkpoint at 217000 iterations 2023/11/02 14:07:40 - mmengine - INFO - Iter(train) [217100/320000] base_lr: 4.8365e-05 lr: 2.0265e-05 eta: 2 days, 16:44:14 time: 2.2793 data_time: 0.1432 memory: 25856 grad_norm: 1.3268 loss: 1.3358 caption_loss_cls: 2.3449 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7751 detection_loss_cls: 0.0513 detection_loss_reg: 0.4376 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9493 2023/11/02 14:11:16 - mmengine - INFO - Iter(train) [217200/320000] base_lr: 4.8283e-05 lr: 2.0233e-05 eta: 2 days, 16:39:47 time: 2.2822 data_time: 0.1434 memory: 25856 grad_norm: 1.3213 loss: 1.3312 caption_loss_cls: 2.3468 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7758 detection_loss_cls: 0.0512 detection_loss_reg: 0.4369 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9496 2023/11/02 14:15:10 - mmengine - INFO - Iter(train) [217300/320000] base_lr: 4.8200e-05 lr: 2.0200e-05 eta: 2 days, 16:36:29 time: 2.2857 data_time: 0.1434 memory: 25856 grad_norm: 1.3199 loss: 1.3237 caption_loss_cls: 2.3450 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7756 detection_loss_cls: 0.0511 detection_loss_reg: 0.4367 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9489 2023/11/02 14:18:23 - mmengine - INFO - Iter(train) [217400/320000] base_lr: 4.8118e-05 lr: 2.0168e-05 eta: 2 days, 16:30:33 time: 2.2730 data_time: 0.1433 memory: 25856 grad_norm: 1.3265 loss: 1.3283 caption_loss_cls: 2.3443 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7754 detection_loss_cls: 0.0511 detection_loss_reg: 0.4365 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9490 2023/11/02 14:22:00 - mmengine - INFO - Iter(train) [217500/320000] base_lr: 4.8036e-05 lr: 2.0135e-05 eta: 2 days, 16:26:11 time: 2.2747 data_time: 0.1433 memory: 26535 grad_norm: 1.3165 loss: 1.3199 caption_loss_cls: 2.3446 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7758 detection_loss_cls: 0.0512 detection_loss_reg: 0.4364 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9491 2023/11/02 14:22:00 - mmengine - INFO - Saving checkpoint at 217500 iterations 2023/11/02 14:26:28 - mmengine - INFO - Iter(train) [217600/320000] base_lr: 4.7954e-05 lr: 2.0103e-05 eta: 2 days, 16:25:06 time: 2.2723 data_time: 0.1439 memory: 25856 grad_norm: 1.3093 loss: 1.3151 caption_loss_cls: 2.3451 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7753 detection_loss_cls: 0.0512 detection_loss_reg: 0.4362 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9473 2023/11/02 14:29:59 - mmengine - INFO - Iter(train) [217700/320000] base_lr: 4.7872e-05 lr: 2.0071e-05 eta: 2 days, 16:20:20 time: 2.2716 data_time: 0.1439 memory: 25856 grad_norm: 1.3174 loss: 1.3190 caption_loss_cls: 2.3450 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7758 detection_loss_cls: 0.0512 detection_loss_reg: 0.4359 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9470 2023/11/02 14:33:32 - mmengine - INFO - Iter(train) [217800/320000] base_lr: 4.7790e-05 lr: 2.0038e-05 eta: 2 days, 16:15:41 time: 2.2648 data_time: 0.1437 memory: 25856 grad_norm: 1.3207 loss: 1.3186 caption_loss_cls: 2.3447 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7759 detection_loss_cls: 0.0509 detection_loss_reg: 0.4358 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9454 2023/11/02 14:37:10 - mmengine - INFO - Iter(train) [217900/320000] base_lr: 4.7708e-05 lr: 2.0006e-05 eta: 2 days, 16:11:23 time: 2.2545 data_time: 0.1415 memory: 25856 grad_norm: 1.3270 loss: 1.3170 caption_loss_cls: 2.3447 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7762 detection_loss_cls: 0.0508 detection_loss_reg: 0.4349 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9469 2023/11/02 14:41:15 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 14:41:15 - mmengine - INFO - Iter(train) [218000/320000] base_lr: 4.7626e-05 lr: 1.9974e-05 eta: 2 days, 16:08:47 time: 2.2674 data_time: 0.1436 memory: 26535 grad_norm: 1.3148 loss: 1.3130 caption_loss_cls: 2.3432 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7759 detection_loss_cls: 0.0508 detection_loss_reg: 0.4355 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9455 2023/11/02 14:41:15 - mmengine - INFO - Saving checkpoint at 218000 iterations 2023/11/02 14:46:05 - mmengine - INFO - Iter(train) [218100/320000] base_lr: 4.7544e-05 lr: 1.9942e-05 eta: 2 days, 16:09:00 time: 2.2734 data_time: 0.1429 memory: 25856 grad_norm: 1.3114 loss: 1.3122 caption_loss_cls: 2.3451 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7748 detection_loss_cls: 0.0507 detection_loss_reg: 0.4352 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9460 2023/11/02 14:49:14 - mmengine - INFO - Iter(train) [218200/320000] base_lr: 4.7463e-05 lr: 1.9909e-05 eta: 2 days, 16:02:50 time: 2.2652 data_time: 0.1428 memory: 26535 grad_norm: 1.3243 loss: 1.3222 caption_loss_cls: 2.3437 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7746 detection_loss_cls: 0.0508 detection_loss_reg: 0.4355 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9448 2023/11/02 14:53:09 - mmengine - INFO - Iter(train) [218300/320000] base_lr: 4.7381e-05 lr: 1.9877e-05 eta: 2 days, 15:59:36 time: 2.2739 data_time: 0.1429 memory: 26535 grad_norm: 1.3293 loss: 1.3210 caption_loss_cls: 2.3405 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7735 detection_loss_cls: 0.0507 detection_loss_reg: 0.4351 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9441 2023/11/02 14:56:42 - mmengine - INFO - Iter(train) [218400/320000] base_lr: 4.7299e-05 lr: 1.9845e-05 eta: 2 days, 15:55:00 time: 2.2821 data_time: 0.1429 memory: 25856 grad_norm: 1.3208 loss: 1.3152 caption_loss_cls: 2.3389 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_reg: 0.2913 instance_segmentation_loss_poly: 0.7737 detection_loss_cls: 0.0507 detection_loss_reg: 0.4346 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9447 2023/11/02 15:00:06 - mmengine - INFO - Iter(train) [218500/320000] base_lr: 4.7217e-05 lr: 1.9813e-05 eta: 2 days, 15:49:52 time: 2.2835 data_time: 0.1430 memory: 25856 grad_norm: 1.3207 loss: 1.3145 caption_loss_cls: 2.3403 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_reg: 0.2912 instance_segmentation_loss_poly: 0.7735 detection_loss_cls: 0.0506 detection_loss_reg: 0.4347 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9433 2023/11/02 15:00:06 - mmengine - INFO - Saving checkpoint at 218500 iterations 2023/11/02 15:04:29 - mmengine - INFO - Iter(train) [218600/320000] base_lr: 4.7136e-05 lr: 1.9781e-05 eta: 2 days, 15:48:19 time: 2.2779 data_time: 0.1432 memory: 25856 grad_norm: 1.3326 loss: 1.3160 caption_loss_cls: 2.3387 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7728 detection_loss_cls: 0.0506 detection_loss_reg: 0.4352 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9440 2023/11/02 15:08:10 - mmengine - INFO - Iter(train) [218700/320000] base_lr: 4.7054e-05 lr: 1.9749e-05 eta: 2 days, 15:44:11 time: 2.2811 data_time: 0.1432 memory: 26535 grad_norm: 1.3320 loss: 1.3179 caption_loss_cls: 2.3430 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2911 instance_segmentation_loss_poly: 0.7726 detection_loss_cls: 0.0504 detection_loss_reg: 0.4342 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9432 2023/11/02 15:11:36 - mmengine - INFO - Iter(train) [218800/320000] base_lr: 4.6973e-05 lr: 1.9717e-05 eta: 2 days, 15:39:09 time: 2.2903 data_time: 0.1433 memory: 26535 grad_norm: 1.3260 loss: 1.3107 caption_loss_cls: 2.3446 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7718 detection_loss_cls: 0.0505 detection_loss_reg: 0.4352 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9417 2023/11/02 15:15:03 - mmengine - INFO - Iter(train) [218900/320000] base_lr: 4.6891e-05 lr: 1.9685e-05 eta: 2 days, 15:34:15 time: 2.2933 data_time: 0.1433 memory: 25856 grad_norm: 1.3275 loss: 1.3077 caption_loss_cls: 2.3429 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2907 instance_segmentation_loss_poly: 0.7717 detection_loss_cls: 0.0505 detection_loss_reg: 0.4348 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9422 2023/11/02 15:18:42 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 15:18:42 - mmengine - INFO - Iter(train) [219000/320000] base_lr: 4.6810e-05 lr: 1.9652e-05 eta: 2 days, 15:30:02 time: 2.2956 data_time: 0.1433 memory: 25856 grad_norm: 1.3339 loss: 1.3113 caption_loss_cls: 2.3416 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.7706 detection_loss_cls: 0.0505 detection_loss_reg: 0.4350 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9429 2023/11/02 15:18:42 - mmengine - INFO - Saving checkpoint at 219000 iterations 2023/11/02 15:23:40 - mmengine - INFO - Iter(train) [219100/320000] base_lr: 4.6729e-05 lr: 1.9620e-05 eta: 2 days, 15:30:31 time: 2.3068 data_time: 0.1434 memory: 26535 grad_norm: 1.3156 loss: 1.3032 caption_loss_cls: 2.3417 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.7705 detection_loss_cls: 0.0504 detection_loss_reg: 0.4348 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9415 2023/11/02 15:27:14 - mmengine - INFO - Iter(train) [219200/320000] base_lr: 4.6648e-05 lr: 1.9588e-05 eta: 2 days, 15:26:00 time: 2.3088 data_time: 0.1434 memory: 26535 grad_norm: 1.3158 loss: 1.3070 caption_loss_cls: 2.3420 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.7710 detection_loss_cls: 0.0505 detection_loss_reg: 0.4349 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9409 2023/11/02 15:30:40 - mmengine - INFO - Iter(train) [219300/320000] base_lr: 4.6566e-05 lr: 1.9556e-05 eta: 2 days, 15:20:58 time: 2.3073 data_time: 0.1434 memory: 26535 grad_norm: 1.3229 loss: 1.3093 caption_loss_cls: 2.3433 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2910 instance_segmentation_loss_poly: 0.7713 detection_loss_cls: 0.0505 detection_loss_reg: 0.4345 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9382 2023/11/02 15:34:22 - mmengine - INFO - Iter(train) [219400/320000] base_lr: 4.6485e-05 lr: 1.9524e-05 eta: 2 days, 15:16:57 time: 2.3040 data_time: 0.1434 memory: 25856 grad_norm: 1.3217 loss: 1.3058 caption_loss_cls: 2.3434 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7701 detection_loss_cls: 0.0504 detection_loss_reg: 0.4341 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9388 2023/11/02 15:38:15 - mmengine - INFO - Iter(train) [219500/320000] base_lr: 4.6404e-05 lr: 1.9493e-05 eta: 2 days, 15:13:33 time: 2.2994 data_time: 0.1434 memory: 26535 grad_norm: 1.3242 loss: 1.3091 caption_loss_cls: 2.3408 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2911 instance_segmentation_loss_poly: 0.7718 detection_loss_cls: 0.0502 detection_loss_reg: 0.4336 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9391 2023/11/02 15:38:15 - mmengine - INFO - Saving checkpoint at 219500 iterations 2023/11/02 15:43:06 - mmengine - INFO - Iter(train) [219600/320000] base_lr: 4.6323e-05 lr: 1.9461e-05 eta: 2 days, 15:13:33 time: 2.2992 data_time: 0.1430 memory: 26535 grad_norm: 1.3238 loss: 1.3063 caption_loss_cls: 2.3400 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2913 instance_segmentation_loss_poly: 0.7717 detection_loss_cls: 0.0502 detection_loss_reg: 0.4332 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9384 2023/11/02 15:46:29 - mmengine - INFO - Iter(train) [219700/320000] base_lr: 4.6242e-05 lr: 1.9429e-05 eta: 2 days, 15:08:22 time: 2.2939 data_time: 0.1429 memory: 25856 grad_norm: 1.3341 loss: 1.3083 caption_loss_cls: 2.3403 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2912 instance_segmentation_loss_poly: 0.7718 detection_loss_cls: 0.0500 detection_loss_reg: 0.4321 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9374 2023/11/02 15:50:16 - mmengine - INFO - Iter(train) [219800/320000] base_lr: 4.6161e-05 lr: 1.9397e-05 eta: 2 days, 15:04:39 time: 2.2938 data_time: 0.1429 memory: 26535 grad_norm: 1.3423 loss: 1.3101 caption_loss_cls: 2.3400 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7730 detection_loss_cls: 0.0501 detection_loss_reg: 0.4324 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9359 2023/11/02 15:54:29 - mmengine - INFO - Iter(train) [219900/320000] base_lr: 4.6080e-05 lr: 1.9365e-05 eta: 2 days, 15:02:22 time: 2.3017 data_time: 0.1431 memory: 26535 grad_norm: 1.3496 loss: 1.3101 caption_loss_cls: 2.3403 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7750 detection_loss_cls: 0.0501 detection_loss_reg: 0.4324 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9358 2023/11/02 15:58:15 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 15:58:15 - mmengine - INFO - Iter(train) [220000/320000] base_lr: 4.5999e-05 lr: 1.9333e-05 eta: 2 days, 14:58:35 time: 2.3014 data_time: 0.1431 memory: 25856 grad_norm: 1.3508 loss: 1.3151 caption_loss_cls: 2.3375 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7760 detection_loss_cls: 0.0502 detection_loss_reg: 0.4321 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9342 2023/11/02 15:58:15 - mmengine - INFO - Saving checkpoint at 220000 iterations 2023/11/02 16:03:01 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:11 time: 1.4100 data_time: 0.0300 memory: 14028 2023/11/02 16:03:52 - mmengine - INFO - Evaluating bbox... 2023/11/02 16:04:55 - mmengine - INFO - bbox_mAP_copypaste: 0.477 0.647 0.516 0.315 0.522 0.618 2023/11/02 16:04:55 - mmengine - INFO - Evaluating segm... 2023/11/02 16:06:09 - mmengine - INFO - segm_mAP_copypaste: 0.318 0.563 0.314 0.172 0.354 0.481 2023/11/02 16:07:07 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3730 data_time: 0.0288 memory: 14028 2023/11/02 16:07:30 - mmengine - INFO - Evaluating bbox... 2023/11/02 16:08:35 - mmengine - INFO - bbox_mAP_copypaste: 0.476 0.646 0.515 0.312 0.520 0.618 2023/11/02 16:11:20 - mmengine - INFO - per class results: 2023/11/02 16:11:20 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 75.38 | 87.84 | | building | 81.77 | 90.72 | | sky | 93.28 | 96.75 | | floor | 80.2 | 89.64 | | tree | 72.78 | 88.85 | | ceiling | 81.58 | 93.59 | | road | 82.21 | 88.27 | | bed | 87.33 | 93.84 | | windowpane | 60.44 | 75.08 | | grass | 70.52 | 90.19 | | cabinet | 54.46 | 65.84 | | sidewalk | 64.15 | 79.66 | | person | 78.26 | 90.76 | | earth | 41.16 | 56.4 | | door | 48.37 | 64.7 | | table | 54.82 | 72.26 | | mountain | 55.67 | 65.32 | | plant | 51.08 | 62.3 | | curtain | 71.27 | 84.65 | | chair | 51.7 | 63.52 | | car | 80.21 | 91.48 | | water | 54.51 | 68.56 | | painting | 68.26 | 82.95 | | sofa | 63.01 | 75.95 | | shelf | 35.79 | 47.43 | | house | 48.79 | 69.02 | | sea | 63.17 | 87.49 | | mirror | 59.01 | 66.75 | | rug | 66.24 | 76.04 | | field | 23.7 | 28.36 | | armchair | 38.77 | 68.4 | | seat | 63.39 | 79.07 | | fence | 42.77 | 58.58 | | desk | 38.51 | 66.22 | | rock | 45.15 | 59.55 | | wardrobe | 49.37 | 68.22 | | lamp | 54.49 | 67.36 | | bathtub | 76.93 | 88.41 | | railing | 35.02 | 45.93 | | cushion | 52.1 | 71.16 | | base | 22.8 | 29.88 | | box | 23.66 | 28.68 | | column | 39.38 | 45.64 | | signboard | 37.12 | 52.74 | | chest of drawers | 31.31 | 76.23 | | counter | 30.58 | 43.32 | | sand | 49.41 | 71.41 | | sink | 66.86 | 77.32 | | skyscraper | 42.71 | 48.27 | | fireplace | 68.1 | 83.76 | | refrigerator | 63.74 | 80.44 | | grandstand | 45.08 | 73.59 | | path | 27.37 | 37.17 | | stairs | 38.15 | 50.31 | | runway | 67.04 | 85.29 | | case | 41.58 | 64.43 | | pool table | 90.44 | 95.26 | | pillow | 48.86 | 59.04 | | screen door | 66.16 | 75.44 | | stairway | 35.88 | 44.5 | | river | 24.67 | 39.91 | | bridge | 58.54 | 85.65 | | bookcase | 28.75 | 51.05 | | blind | 39.36 | 49.68 | | coffee table | 54.7 | 70.36 | | toilet | 80.25 | 85.57 | | flower | 31.66 | 44.74 | | book | 40.73 | 65.45 | | hill | 12.37 | 22.43 | | bench | 42.31 | 59.75 | | countertop | 51.18 | 73.85 | | stove | 67.45 | 78.81 | | palm | 45.58 | 63.18 | | kitchen island | 21.4 | 40.29 | | computer | 69.36 | 83.06 | | swivel chair | 37.55 | 47.45 | | boat | 67.98 | 88.81 | | bar | 41.01 | 50.5 | | arcade machine | 29.11 | 30.65 | | hovel | 47.23 | 51.97 | | bus | 91.17 | 95.17 | | towel | 55.54 | 73.67 | | light | 32.97 | 35.8 | | truck | 39.03 | 60.73 | | tower | 31.36 | 49.81 | | chandelier | 59.42 | 78.62 | | awning | 33.41 | 38.24 | | streetlight | 26.86 | 33.01 | | booth | 43.9 | 46.61 | | television receiver | 62.76 | 85.48 | | airplane | 51.69 | 63.3 | | dirt track | 0.0 | 0.0 | | apparel | 27.33 | 39.29 | | pole | 25.71 | 38.84 | | land | 3.89 | 5.32 | | bannister | 2.87 | 3.97 | | escalator | 31.61 | 33.81 | | ottoman | 43.61 | 61.19 | | bottle | 26.37 | 35.04 | | buffet | 30.99 | 31.97 | | poster | 26.65 | 35.84 | | stage | 3.87 | 5.33 | | van | 18.48 | 21.14 | | ship | 66.32 | 66.62 | | fountain | 19.25 | 19.98 | | conveyer belt | 79.97 | 89.36 | | canopy | 27.82 | 33.35 | | washer | 56.05 | 57.13 | | plaything | 30.24 | 47.26 | | swimming pool | 49.72 | 84.86 | | stool | 42.03 | 55.23 | | barrel | 40.64 | 58.19 | | basket | 29.7 | 43.07 | | waterfall | 45.47 | 49.83 | | tent | 88.55 | 96.17 | | bag | 13.07 | 14.06 | | minibike | 69.97 | 85.51 | | cradle | 73.09 | 89.41 | | oven | 31.84 | 39.91 | | ball | 45.54 | 67.95 | | food | 52.7 | 71.25 | | step | 12.86 | 15.52 | | tank | 40.73 | 49.43 | | trade name | 30.02 | 37.57 | | microwave | 81.4 | 90.28 | | pot | 36.09 | 40.59 | | animal | 63.38 | 68.9 | | bicycle | 56.62 | 84.78 | | lake | 0.85 | 0.92 | | dishwasher | 50.29 | 65.07 | | screen | 61.37 | 81.42 | | blanket | 4.04 | 4.43 | | sculpture | 51.1 | 59.12 | | hood | 47.64 | 59.9 | | sconce | 27.24 | 34.01 | | vase | 35.58 | 49.28 | | traffic light | 33.29 | 44.87 | | tray | 4.17 | 6.29 | | ashcan | 34.17 | 47.08 | | fan | 51.34 | 64.13 | | pier | 15.7 | 16.52 | | crt screen | 4.8 | 10.1 | | plate | 50.37 | 60.7 | | monitor | 9.85 | 10.75 | | bulletin board | 25.54 | 27.69 | | shower | 0.91 | 0.94 | | radiator | 58.73 | 67.41 | | glass | 13.53 | 14.28 | | clock | 19.39 | 22.23 | | flag | 60.62 | 68.88 | +---------------------+-------+-------+ 2023/11/02 16:11:29 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.4760 coco/bbox_mAP_50: 0.6460 coco/bbox_mAP_75: 0.5150 coco/bbox_mAP_s: 0.3120 coco/bbox_mAP_m: 0.5200 coco/bbox_mAP_l: 0.6180 coco/segm_mAP: 0.3180 coco/segm_mAP_50: 0.5630 coco/segm_mAP_75: 0.3140 coco/segm_mAP_s: 0.1720 coco/segm_mAP_m: 0.3540 coco/segm_mAP_l: 0.4810 Bleu_1: 0.7438 Bleu_2: 0.5758 Bleu_3: 0.4342 Bleu_4: 0.3244 METEOR: 0.2681 ROUGE_L: 0.5516 CIDEr: 1.0652 SPICE: 0.1952 aAcc: 81.9200 mIoU: 45.7100 mAcc: 57.4500 visual-grounding/miou: 0.7597 visual-grounding/acc: 0.8296 data_time: 0.0278 time: 1.0509 2023/11/02 16:14:45 - mmengine - INFO - Iter(train) [220100/320000] base_lr: 4.5919e-05 lr: 1.9301e-05 eta: 2 days, 14:53:13 time: 2.2907 data_time: 0.1289 memory: 26535 grad_norm: 1.3546 loss: 1.3168 caption_loss_cls: 2.3374 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7751 detection_loss_cls: 0.0502 detection_loss_reg: 0.4320 semantic_segmentation_loss_cls: 0.0121 grounding_loss_reg: 2.9310 2023/11/02 16:18:35 - mmengine - INFO - Iter(train) [220200/320000] base_lr: 4.5838e-05 lr: 1.9269e-05 eta: 2 days, 14:49:38 time: 2.2994 data_time: 0.1290 memory: 25856 grad_norm: 1.3514 loss: 1.3170 caption_loss_cls: 2.3392 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7746 detection_loss_cls: 0.0501 detection_loss_reg: 0.4315 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9300 2023/11/02 16:22:18 - mmengine - INFO - Iter(train) [220300/320000] base_lr: 4.5757e-05 lr: 1.9238e-05 eta: 2 days, 14:45:41 time: 2.3039 data_time: 0.1291 memory: 25856 grad_norm: 1.3534 loss: 1.3181 caption_loss_cls: 2.3401 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7735 detection_loss_cls: 0.0502 detection_loss_reg: 0.4316 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9289 2023/11/02 16:26:05 - mmengine - INFO - Iter(train) [220400/320000] base_lr: 4.5677e-05 lr: 1.9206e-05 eta: 2 days, 14:41:54 time: 2.3057 data_time: 0.1291 memory: 26535 grad_norm: 1.3634 loss: 1.3177 caption_loss_cls: 2.3394 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7731 detection_loss_cls: 0.0502 detection_loss_reg: 0.4316 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9273 2023/11/02 16:29:41 - mmengine - INFO - Iter(train) [220500/320000] base_lr: 4.5596e-05 lr: 1.9174e-05 eta: 2 days, 14:37:32 time: 2.3000 data_time: 0.1292 memory: 26535 grad_norm: 1.3776 loss: 1.3276 caption_loss_cls: 2.3389 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7721 detection_loss_cls: 0.0502 detection_loss_reg: 0.4311 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9263 2023/11/02 16:29:41 - mmengine - INFO - Saving checkpoint at 220500 iterations 2023/11/02 16:34:10 - mmengine - INFO - Iter(train) [220600/320000] base_lr: 4.5515e-05 lr: 1.9142e-05 eta: 2 days, 14:36:07 time: 2.2979 data_time: 0.1292 memory: 25856 grad_norm: 1.3839 loss: 1.3289 caption_loss_cls: 2.3382 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7725 detection_loss_cls: 0.0502 detection_loss_reg: 0.4315 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9266 2023/11/02 16:38:05 - mmengine - INFO - Iter(train) [220700/320000] base_lr: 4.5435e-05 lr: 1.9111e-05 eta: 2 days, 14:32:49 time: 2.3030 data_time: 0.1292 memory: 26535 grad_norm: 1.3799 loss: 1.3271 caption_loss_cls: 2.3358 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7717 detection_loss_cls: 0.0501 detection_loss_reg: 0.4306 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9280 2023/11/02 16:41:35 - mmengine - INFO - Iter(train) [220800/320000] base_lr: 4.5355e-05 lr: 1.9079e-05 eta: 2 days, 14:28:05 time: 2.2960 data_time: 0.1291 memory: 26535 grad_norm: 1.3902 loss: 1.3291 caption_loss_cls: 2.3363 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7712 detection_loss_cls: 0.0501 detection_loss_reg: 0.4299 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9265 2023/11/02 16:44:42 - mmengine - INFO - Iter(train) [220900/320000] base_lr: 4.5274e-05 lr: 1.9047e-05 eta: 2 days, 14:22:07 time: 2.2846 data_time: 0.1290 memory: 25856 grad_norm: 1.3945 loss: 1.3339 caption_loss_cls: 2.3345 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7708 detection_loss_cls: 0.0502 detection_loss_reg: 0.4302 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9262 2023/11/02 16:48:32 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 16:48:32 - mmengine - INFO - Iter(train) [221000/320000] base_lr: 4.5194e-05 lr: 1.9016e-05 eta: 2 days, 14:18:32 time: 2.2834 data_time: 0.1290 memory: 26535 grad_norm: 1.4031 loss: 1.3340 caption_loss_cls: 2.3333 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2915 instance_segmentation_loss_poly: 0.7693 detection_loss_cls: 0.0501 detection_loss_reg: 0.4300 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9258 2023/11/02 16:48:32 - mmengine - INFO - Saving checkpoint at 221000 iterations 2023/11/02 16:52:49 - mmengine - INFO - Iter(train) [221100/320000] base_lr: 4.5114e-05 lr: 1.8984e-05 eta: 2 days, 14:16:24 time: 2.2793 data_time: 0.1286 memory: 26535 grad_norm: 1.4093 loss: 1.3410 caption_loss_cls: 2.3327 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7700 detection_loss_cls: 0.0501 detection_loss_reg: 0.4301 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9245 2023/11/02 16:56:47 - mmengine - INFO - Iter(train) [221200/320000] base_lr: 4.5033e-05 lr: 1.8953e-05 eta: 2 days, 14:13:15 time: 2.2848 data_time: 0.1285 memory: 26535 grad_norm: 1.4102 loss: 1.3398 caption_loss_cls: 2.3327 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7708 detection_loss_cls: 0.0500 detection_loss_reg: 0.4292 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9252 2023/11/02 17:00:29 - mmengine - INFO - Iter(train) [221300/320000] base_lr: 4.4953e-05 lr: 1.8921e-05 eta: 2 days, 14:09:12 time: 2.2818 data_time: 0.1284 memory: 26535 grad_norm: 1.4082 loss: 1.3398 caption_loss_cls: 2.3352 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7713 detection_loss_cls: 0.0499 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9246 2023/11/02 17:04:11 - mmengine - INFO - Iter(train) [221400/320000] base_lr: 4.4873e-05 lr: 1.8889e-05 eta: 2 days, 14:05:11 time: 2.2891 data_time: 0.1285 memory: 26535 grad_norm: 1.4023 loss: 1.3348 caption_loss_cls: 2.3347 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7703 detection_loss_cls: 0.0499 detection_loss_reg: 0.4275 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9236 2023/11/02 17:07:08 - mmengine - INFO - Iter(train) [221500/320000] base_lr: 4.4793e-05 lr: 1.8858e-05 eta: 2 days, 13:58:44 time: 2.2791 data_time: 0.1283 memory: 25856 grad_norm: 1.4208 loss: 1.3453 caption_loss_cls: 2.3357 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7705 detection_loss_cls: 0.0498 detection_loss_reg: 0.4280 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9234 2023/11/02 17:07:08 - mmengine - INFO - Saving checkpoint at 221500 iterations 2023/11/02 17:13:15 - mmengine - INFO - Iter(train) [221600/320000] base_lr: 4.4713e-05 lr: 1.8826e-05 eta: 2 days, 14:02:30 time: 2.3038 data_time: 0.1346 memory: 26535 grad_norm: 1.4243 loss: 1.3485 caption_loss_cls: 2.3356 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7713 detection_loss_cls: 0.0499 detection_loss_reg: 0.4283 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9230 2023/11/02 17:16:18 - mmengine - INFO - Iter(train) [221700/320000] base_lr: 4.4633e-05 lr: 1.8795e-05 eta: 2 days, 13:56:20 time: 2.2967 data_time: 0.1345 memory: 25856 grad_norm: 1.4257 loss: 1.3506 caption_loss_cls: 2.3340 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7710 detection_loss_cls: 0.0499 detection_loss_reg: 0.4285 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9213 2023/11/02 17:19:44 - mmengine - INFO - Iter(train) [221800/320000] base_lr: 4.4553e-05 lr: 1.8763e-05 eta: 2 days, 13:51:27 time: 2.2951 data_time: 0.1346 memory: 25856 grad_norm: 1.4236 loss: 1.3536 caption_loss_cls: 2.3377 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7708 detection_loss_cls: 0.0499 detection_loss_reg: 0.4280 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9199 2023/11/02 17:23:34 - mmengine - INFO - Iter(train) [221900/320000] base_lr: 4.4474e-05 lr: 1.8732e-05 eta: 2 days, 13:47:50 time: 2.2979 data_time: 0.1346 memory: 25856 grad_norm: 1.4096 loss: 1.3509 caption_loss_cls: 2.3398 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7712 detection_loss_cls: 0.0498 detection_loss_reg: 0.4280 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9190 2023/11/02 17:26:59 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 17:26:59 - mmengine - INFO - Iter(train) [222000/320000] base_lr: 4.4394e-05 lr: 1.8701e-05 eta: 2 days, 13:42:55 time: 2.2881 data_time: 0.1326 memory: 25856 grad_norm: 1.4148 loss: 1.3515 caption_loss_cls: 2.3397 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7708 detection_loss_cls: 0.0498 detection_loss_reg: 0.4278 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9171 2023/11/02 17:26:59 - mmengine - INFO - Saving checkpoint at 222000 iterations 2023/11/02 17:31:38 - mmengine - INFO - Iter(train) [222100/320000] base_lr: 4.4314e-05 lr: 1.8669e-05 eta: 2 days, 13:41:54 time: 2.2853 data_time: 0.1332 memory: 26535 grad_norm: 1.4143 loss: 1.3509 caption_loss_cls: 2.3419 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7713 detection_loss_cls: 0.0497 detection_loss_reg: 0.4272 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9160 2023/11/02 17:35:16 - mmengine - INFO - Iter(train) [222200/320000] base_lr: 4.4234e-05 lr: 1.8638e-05 eta: 2 days, 13:37:37 time: 2.2926 data_time: 0.1333 memory: 26535 grad_norm: 1.4068 loss: 1.3468 caption_loss_cls: 2.3430 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7718 detection_loss_cls: 0.0497 detection_loss_reg: 0.4270 semantic_segmentation_loss_cls: 0.0120 grounding_loss_reg: 2.9169 2023/11/02 17:38:47 - mmengine - INFO - Iter(train) [222300/320000] base_lr: 4.4155e-05 lr: 1.8606e-05 eta: 2 days, 13:33:00 time: 2.2865 data_time: 0.1333 memory: 26535 grad_norm: 1.4004 loss: 1.3554 caption_loss_cls: 2.3430 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7723 detection_loss_cls: 0.0498 detection_loss_reg: 0.4280 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9146 2023/11/02 17:42:11 - mmengine - INFO - Iter(train) [222400/320000] base_lr: 4.4075e-05 lr: 1.8575e-05 eta: 2 days, 13:28:03 time: 2.2843 data_time: 0.1333 memory: 26535 grad_norm: 1.4044 loss: 1.3576 caption_loss_cls: 2.3445 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7731 detection_loss_cls: 0.0499 detection_loss_reg: 0.4285 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9126 2023/11/02 17:45:51 - mmengine - INFO - Iter(train) [222500/320000] base_lr: 4.3996e-05 lr: 1.8544e-05 eta: 2 days, 13:23:55 time: 2.2881 data_time: 0.1334 memory: 26535 grad_norm: 1.4067 loss: 1.3567 caption_loss_cls: 2.3440 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7721 detection_loss_cls: 0.0499 detection_loss_reg: 0.4280 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9123 2023/11/02 17:45:51 - mmengine - INFO - Saving checkpoint at 222500 iterations 2023/11/02 17:50:07 - mmengine - INFO - Iter(train) [222600/320000] base_lr: 4.3916e-05 lr: 1.8513e-05 eta: 2 days, 13:21:38 time: 2.2864 data_time: 0.1329 memory: 25856 grad_norm: 1.4000 loss: 1.3567 caption_loss_cls: 2.3435 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7708 detection_loss_cls: 0.0501 detection_loss_reg: 0.4290 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9120 2023/11/02 17:53:32 - mmengine - INFO - Iter(train) [222700/320000] base_lr: 4.3837e-05 lr: 1.8481e-05 eta: 2 days, 13:16:45 time: 2.2825 data_time: 0.1329 memory: 26535 grad_norm: 1.4070 loss: 1.3604 caption_loss_cls: 2.3444 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7700 detection_loss_cls: 0.0500 detection_loss_reg: 0.4285 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9114 2023/11/02 17:57:08 - mmengine - INFO - Iter(train) [222800/320000] base_lr: 4.3758e-05 lr: 1.8450e-05 eta: 2 days, 13:12:26 time: 2.2852 data_time: 0.1331 memory: 25856 grad_norm: 1.4096 loss: 1.3652 caption_loss_cls: 2.3456 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7702 detection_loss_cls: 0.0500 detection_loss_reg: 0.4285 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9109 2023/11/02 18:00:34 - mmengine - INFO - Iter(train) [222900/320000] base_lr: 4.3678e-05 lr: 1.8419e-05 eta: 2 days, 13:07:35 time: 2.2846 data_time: 0.1331 memory: 26535 grad_norm: 1.4154 loss: 1.3700 caption_loss_cls: 2.3443 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7717 detection_loss_cls: 0.0499 detection_loss_reg: 0.4277 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9108 2023/11/02 18:04:38 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 18:04:38 - mmengine - INFO - Iter(train) [223000/320000] base_lr: 4.3599e-05 lr: 1.8388e-05 eta: 2 days, 13:04:40 time: 2.2908 data_time: 0.1333 memory: 26535 grad_norm: 1.4079 loss: 1.3659 caption_loss_cls: 2.3456 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7724 detection_loss_cls: 0.0498 detection_loss_reg: 0.4271 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9085 2023/11/02 18:04:38 - mmengine - INFO - Saving checkpoint at 223000 iterations 2023/11/02 18:09:08 - mmengine - INFO - Iter(train) [223100/320000] base_lr: 4.3520e-05 lr: 1.8356e-05 eta: 2 days, 13:03:06 time: 2.2840 data_time: 0.1337 memory: 25856 grad_norm: 1.4090 loss: 1.3692 caption_loss_cls: 2.3441 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7719 detection_loss_cls: 0.0497 detection_loss_reg: 0.4270 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9100 2023/11/02 18:12:26 - mmengine - INFO - Iter(train) [223200/320000] base_lr: 4.3441e-05 lr: 1.8325e-05 eta: 2 days, 12:57:54 time: 2.2801 data_time: 0.1337 memory: 25856 grad_norm: 1.4094 loss: 1.3665 caption_loss_cls: 2.3399 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7712 detection_loss_cls: 0.0498 detection_loss_reg: 0.4269 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9100 2023/11/02 18:16:16 - mmengine - INFO - Iter(train) [223300/320000] base_lr: 4.3362e-05 lr: 1.8294e-05 eta: 2 days, 12:54:14 time: 2.2860 data_time: 0.1337 memory: 25856 grad_norm: 1.4010 loss: 1.3617 caption_loss_cls: 2.3396 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7704 detection_loss_cls: 0.0497 detection_loss_reg: 0.4268 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9101 2023/11/02 18:19:39 - mmengine - INFO - Iter(train) [223400/320000] base_lr: 4.3283e-05 lr: 1.8263e-05 eta: 2 days, 12:49:17 time: 2.2812 data_time: 0.1338 memory: 26535 grad_norm: 1.4054 loss: 1.3689 caption_loss_cls: 2.3372 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7703 detection_loss_cls: 0.0498 detection_loss_reg: 0.4268 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9104 2023/11/02 18:22:59 - mmengine - INFO - Iter(train) [223500/320000] base_lr: 4.3204e-05 lr: 1.8232e-05 eta: 2 days, 12:44:12 time: 2.2731 data_time: 0.1336 memory: 25856 grad_norm: 1.4029 loss: 1.3664 caption_loss_cls: 2.3388 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7703 detection_loss_cls: 0.0499 detection_loss_reg: 0.4275 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9103 2023/11/02 18:22:59 - mmengine - INFO - Saving checkpoint at 223500 iterations 2023/11/02 18:27:13 - mmengine - INFO - Iter(train) [223600/320000] base_lr: 4.3125e-05 lr: 1.8201e-05 eta: 2 days, 12:41:45 time: 2.2637 data_time: 0.1335 memory: 26535 grad_norm: 1.4123 loss: 1.3701 caption_loss_cls: 2.3384 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7709 detection_loss_cls: 0.0500 detection_loss_reg: 0.4276 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9084 2023/11/02 18:30:58 - mmengine - INFO - Iter(train) [223700/320000] base_lr: 4.3046e-05 lr: 1.8170e-05 eta: 2 days, 12:37:55 time: 2.2694 data_time: 0.1336 memory: 26535 grad_norm: 1.4166 loss: 1.3744 caption_loss_cls: 2.3392 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7710 detection_loss_cls: 0.0500 detection_loss_reg: 0.4287 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9067 2023/11/02 18:34:59 - mmengine - INFO - Iter(train) [223800/320000] base_lr: 4.2967e-05 lr: 1.8139e-05 eta: 2 days, 12:34:48 time: 2.2726 data_time: 0.1338 memory: 25856 grad_norm: 1.4041 loss: 1.3693 caption_loss_cls: 2.3376 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7716 detection_loss_cls: 0.0500 detection_loss_reg: 0.4292 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9049 2023/11/02 18:38:37 - mmengine - INFO - Iter(train) [223900/320000] base_lr: 4.2889e-05 lr: 1.8108e-05 eta: 2 days, 12:30:37 time: 2.2640 data_time: 0.1337 memory: 25856 grad_norm: 1.4012 loss: 1.3748 caption_loss_cls: 2.3378 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7723 detection_loss_cls: 0.0500 detection_loss_reg: 0.4290 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9021 2023/11/02 18:42:07 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 18:42:07 - mmengine - INFO - Iter(train) [224000/320000] base_lr: 4.2810e-05 lr: 1.8077e-05 eta: 2 days, 12:26:02 time: 2.2599 data_time: 0.1335 memory: 25856 grad_norm: 1.4008 loss: 1.3719 caption_loss_cls: 2.3391 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7707 detection_loss_cls: 0.0497 detection_loss_reg: 0.4272 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.9011 2023/11/02 18:42:07 - mmengine - INFO - Saving checkpoint at 224000 iterations 2023/11/02 18:46:49 - mmengine - INFO - Iter(train) [224100/320000] base_lr: 4.2731e-05 lr: 1.8046e-05 eta: 2 days, 12:24:56 time: 2.2807 data_time: 0.1482 memory: 25856 grad_norm: 1.3993 loss: 1.3750 caption_loss_cls: 2.3404 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7709 detection_loss_cls: 0.0497 detection_loss_reg: 0.4266 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8968 2023/11/02 18:50:14 - mmengine - INFO - Iter(train) [224200/320000] base_lr: 4.2653e-05 lr: 1.8015e-05 eta: 2 days, 12:20:05 time: 2.2743 data_time: 0.1482 memory: 26535 grad_norm: 1.4059 loss: 1.3773 caption_loss_cls: 2.3375 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7709 detection_loss_cls: 0.0495 detection_loss_reg: 0.4256 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8950 2023/11/02 18:53:39 - mmengine - INFO - Iter(train) [224300/320000] base_lr: 4.2574e-05 lr: 1.7984e-05 eta: 2 days, 12:15:16 time: 2.2696 data_time: 0.1482 memory: 26535 grad_norm: 1.4056 loss: 1.3740 caption_loss_cls: 2.3369 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7701 detection_loss_cls: 0.0494 detection_loss_reg: 0.4258 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8932 2023/11/02 18:57:03 - mmengine - INFO - Iter(train) [224400/320000] base_lr: 4.2496e-05 lr: 1.7953e-05 eta: 2 days, 12:10:24 time: 2.2640 data_time: 0.1481 memory: 26535 grad_norm: 1.3909 loss: 1.3762 caption_loss_cls: 2.3357 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7700 detection_loss_cls: 0.0495 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8936 2023/11/02 19:00:47 - mmengine - INFO - Iter(train) [224500/320000] base_lr: 4.2418e-05 lr: 1.7922e-05 eta: 2 days, 12:06:31 time: 2.2660 data_time: 0.1480 memory: 26535 grad_norm: 1.3882 loss: 1.3734 caption_loss_cls: 2.3363 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7687 detection_loss_cls: 0.0494 detection_loss_reg: 0.4245 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8929 2023/11/02 19:00:47 - mmengine - INFO - Saving checkpoint at 224500 iterations 2023/11/02 19:05:06 - mmengine - INFO - Iter(train) [224600/320000] base_lr: 4.2339e-05 lr: 1.7891e-05 eta: 2 days, 12:04:17 time: 2.2636 data_time: 0.1486 memory: 25856 grad_norm: 1.3775 loss: 1.3728 caption_loss_cls: 2.3358 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2928 instance_segmentation_loss_poly: 0.7696 detection_loss_cls: 0.0495 detection_loss_reg: 0.4250 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8903 2023/11/02 19:08:33 - mmengine - INFO - Iter(train) [224700/320000] base_lr: 4.2261e-05 lr: 1.7860e-05 eta: 2 days, 11:59:35 time: 2.2566 data_time: 0.1487 memory: 26535 grad_norm: 1.3828 loss: 1.3794 caption_loss_cls: 2.3357 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7705 detection_loss_cls: 0.0495 detection_loss_reg: 0.4248 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8900 2023/11/02 19:12:00 - mmengine - INFO - Iter(train) [224800/320000] base_lr: 4.2183e-05 lr: 1.7830e-05 eta: 2 days, 11:54:51 time: 2.2558 data_time: 0.1487 memory: 25856 grad_norm: 1.3763 loss: 1.3776 caption_loss_cls: 2.3354 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7699 detection_loss_cls: 0.0496 detection_loss_reg: 0.4246 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8893 2023/11/02 19:16:06 - mmengine - INFO - Iter(train) [224900/320000] base_lr: 4.2105e-05 lr: 1.7799e-05 eta: 2 days, 11:51:59 time: 2.2705 data_time: 0.1490 memory: 26535 grad_norm: 1.3777 loss: 1.3779 caption_loss_cls: 2.3360 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_reg: 0.2937 instance_segmentation_loss_poly: 0.7710 detection_loss_cls: 0.0496 detection_loss_reg: 0.4244 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8874 2023/11/02 19:19:25 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 19:19:25 - mmengine - INFO - Iter(train) [225000/320000] base_lr: 4.2027e-05 lr: 1.7768e-05 eta: 2 days, 11:46:57 time: 2.2629 data_time: 0.1489 memory: 25856 grad_norm: 1.3755 loss: 1.3816 caption_loss_cls: 2.3384 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2936 instance_segmentation_loss_poly: 0.7700 detection_loss_cls: 0.0495 detection_loss_reg: 0.4239 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8858 2023/11/02 19:19:25 - mmengine - INFO - Saving checkpoint at 225000 iterations 2023/11/02 19:23:44 - mmengine - INFO - Iter(train) [225100/320000] base_lr: 4.1949e-05 lr: 1.7737e-05 eta: 2 days, 11:44:38 time: 2.2633 data_time: 0.1495 memory: 26535 grad_norm: 1.3761 loss: 1.3811 caption_loss_cls: 2.3353 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2932 instance_segmentation_loss_poly: 0.7688 detection_loss_cls: 0.0495 detection_loss_reg: 0.4245 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8833 2023/11/02 19:26:56 - mmengine - INFO - Iter(train) [225200/320000] base_lr: 4.1871e-05 lr: 1.7707e-05 eta: 2 days, 11:39:17 time: 2.2519 data_time: 0.1493 memory: 25856 grad_norm: 1.3849 loss: 1.3827 caption_loss_cls: 2.3375 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7690 detection_loss_cls: 0.0496 detection_loss_reg: 0.4248 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8800 2023/11/02 19:30:11 - mmengine - INFO - Iter(train) [225300/320000] base_lr: 4.1793e-05 lr: 1.7676e-05 eta: 2 days, 11:34:02 time: 2.2451 data_time: 0.1494 memory: 25856 grad_norm: 1.3966 loss: 1.3895 caption_loss_cls: 2.3376 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7693 detection_loss_cls: 0.0496 detection_loss_reg: 0.4250 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8793 2023/11/02 19:33:59 - mmengine - INFO - Iter(train) [225400/320000] base_lr: 4.1715e-05 lr: 1.7645e-05 eta: 2 days, 11:30:21 time: 2.2466 data_time: 0.1494 memory: 26535 grad_norm: 1.4102 loss: 1.3922 caption_loss_cls: 2.3391 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2934 instance_segmentation_loss_poly: 0.7689 detection_loss_cls: 0.0497 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8780 2023/11/02 19:37:32 - mmengine - INFO - Iter(train) [225500/320000] base_lr: 4.1637e-05 lr: 1.7615e-05 eta: 2 days, 11:25:56 time: 2.2554 data_time: 0.1496 memory: 26535 grad_norm: 1.3990 loss: 1.3877 caption_loss_cls: 2.3358 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2939 instance_segmentation_loss_poly: 0.7696 detection_loss_cls: 0.0497 detection_loss_reg: 0.4261 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8774 2023/11/02 19:37:32 - mmengine - INFO - Saving checkpoint at 225500 iterations 2023/11/02 19:42:18 - mmengine - INFO - Iter(train) [225600/320000] base_lr: 4.1559e-05 lr: 1.7584e-05 eta: 2 days, 11:24:52 time: 2.2352 data_time: 0.1431 memory: 25856 grad_norm: 1.4069 loss: 1.3889 caption_loss_cls: 2.3348 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7696 detection_loss_cls: 0.0497 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8744 2023/11/02 19:46:15 - mmengine - INFO - Iter(train) [225700/320000] base_lr: 4.1481e-05 lr: 1.7553e-05 eta: 2 days, 11:21:35 time: 2.2488 data_time: 0.1443 memory: 26535 grad_norm: 1.4004 loss: 1.3880 caption_loss_cls: 2.3347 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2947 instance_segmentation_loss_poly: 0.7707 detection_loss_cls: 0.0496 detection_loss_reg: 0.4250 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8754 2023/11/02 19:49:53 - mmengine - INFO - Iter(train) [225800/320000] base_lr: 4.1404e-05 lr: 1.7523e-05 eta: 2 days, 11:17:24 time: 2.2518 data_time: 0.1443 memory: 26535 grad_norm: 1.3971 loss: 1.3846 caption_loss_cls: 2.3326 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2940 instance_segmentation_loss_poly: 0.7693 detection_loss_cls: 0.0497 detection_loss_reg: 0.4249 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8742 2023/11/02 19:53:15 - mmengine - INFO - Iter(train) [225900/320000] base_lr: 4.1326e-05 lr: 1.7492e-05 eta: 2 days, 11:12:32 time: 2.2449 data_time: 0.1443 memory: 25856 grad_norm: 1.4048 loss: 1.3903 caption_loss_cls: 2.3321 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_reg: 0.2935 instance_segmentation_loss_poly: 0.7682 detection_loss_cls: 0.0496 detection_loss_reg: 0.4249 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8722 2023/11/02 19:56:58 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 19:56:58 - mmengine - INFO - Iter(train) [226000/320000] base_lr: 4.1249e-05 lr: 1.7462e-05 eta: 2 days, 11:08:36 time: 2.2493 data_time: 0.1444 memory: 26535 grad_norm: 1.4051 loss: 1.3940 caption_loss_cls: 2.3314 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2927 instance_segmentation_loss_poly: 0.7667 detection_loss_cls: 0.0496 detection_loss_reg: 0.4251 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8716 2023/11/02 19:56:58 - mmengine - INFO - Saving checkpoint at 226000 iterations 2023/11/02 20:01:29 - mmengine - INFO - Iter(train) [226100/320000] base_lr: 4.1171e-05 lr: 1.7431e-05 eta: 2 days, 11:06:47 time: 2.2471 data_time: 0.1444 memory: 25856 grad_norm: 1.4093 loss: 1.3918 caption_loss_cls: 2.3312 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7675 detection_loss_cls: 0.0496 detection_loss_reg: 0.4256 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8693 2023/11/02 20:05:19 - mmengine - INFO - Iter(train) [226200/320000] base_lr: 4.1094e-05 lr: 1.7401e-05 eta: 2 days, 11:03:09 time: 2.2503 data_time: 0.1444 memory: 26535 grad_norm: 1.4145 loss: 1.3953 caption_loss_cls: 2.3317 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2930 instance_segmentation_loss_poly: 0.7681 detection_loss_cls: 0.0498 detection_loss_reg: 0.4262 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8670 2023/11/02 20:09:02 - mmengine - INFO - Iter(train) [226300/320000] base_lr: 4.1017e-05 lr: 1.7370e-05 eta: 2 days, 10:59:12 time: 2.2533 data_time: 0.1443 memory: 25856 grad_norm: 1.4148 loss: 1.3912 caption_loss_cls: 2.3336 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7685 detection_loss_cls: 0.0497 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8674 2023/11/02 20:12:49 - mmengine - INFO - Iter(train) [226400/320000] base_lr: 4.0939e-05 lr: 1.7340e-05 eta: 2 days, 10:55:27 time: 2.2590 data_time: 0.1444 memory: 26535 grad_norm: 1.4116 loss: 1.3884 caption_loss_cls: 2.3326 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_reg: 0.2933 instance_segmentation_loss_poly: 0.7688 detection_loss_cls: 0.0497 detection_loss_reg: 0.4260 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8660 2023/11/02 20:16:23 - mmengine - INFO - Iter(train) [226500/320000] base_lr: 4.0862e-05 lr: 1.7309e-05 eta: 2 days, 10:51:07 time: 2.2576 data_time: 0.1444 memory: 26535 grad_norm: 1.4142 loss: 1.3891 caption_loss_cls: 2.3328 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_reg: 0.2929 instance_segmentation_loss_poly: 0.7679 detection_loss_cls: 0.0497 detection_loss_reg: 0.4258 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8613 2023/11/02 20:16:23 - mmengine - INFO - Saving checkpoint at 226500 iterations 2023/11/02 20:21:51 - mmengine - INFO - Iter(train) [226600/320000] base_lr: 4.0785e-05 lr: 1.7279e-05 eta: 2 days, 10:51:48 time: 2.2757 data_time: 0.1449 memory: 26535 grad_norm: 1.4125 loss: 1.3855 caption_loss_cls: 2.3335 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7670 detection_loss_cls: 0.0497 detection_loss_reg: 0.4261 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8594 2023/11/02 20:25:36 - mmengine - INFO - Iter(train) [226700/320000] base_lr: 4.0708e-05 lr: 1.7248e-05 eta: 2 days, 10:47:55 time: 2.2805 data_time: 0.1450 memory: 26535 grad_norm: 1.4098 loss: 1.3861 caption_loss_cls: 2.3346 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_reg: 0.2931 instance_segmentation_loss_poly: 0.7681 detection_loss_cls: 0.0496 detection_loss_reg: 0.4256 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8589 2023/11/02 20:29:00 - mmengine - INFO - Iter(train) [226800/320000] base_lr: 4.0631e-05 lr: 1.7218e-05 eta: 2 days, 10:43:08 time: 2.2775 data_time: 0.1449 memory: 25856 grad_norm: 1.4098 loss: 1.3820 caption_loss_cls: 2.3328 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_reg: 0.2926 instance_segmentation_loss_poly: 0.7667 detection_loss_cls: 0.0496 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8595 2023/11/02 20:32:42 - mmengine - INFO - Iter(train) [226900/320000] base_lr: 4.0554e-05 lr: 1.7188e-05 eta: 2 days, 10:39:08 time: 2.2815 data_time: 0.1450 memory: 26535 grad_norm: 1.4051 loss: 1.3793 caption_loss_cls: 2.3332 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7666 detection_loss_cls: 0.0496 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8596 2023/11/02 20:35:58 - mmengine - INFO - Exp name: univision_joint_all_large_20231101_204912 2023/11/02 20:35:58 - mmengine - INFO - Iter(train) [227000/320000] base_lr: 4.0477e-05 lr: 1.7157e-05 eta: 2 days, 10:34:02 time: 2.2697 data_time: 0.1448 memory: 26535 grad_norm: 1.4141 loss: 1.3849 caption_loss_cls: 2.3345 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_reg: 0.2923 instance_segmentation_loss_poly: 0.7665 detection_loss_cls: 0.0496 detection_loss_reg: 0.4258 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8580 2023/11/02 20:35:58 - mmengine - INFO - Saving checkpoint at 227000 iterations 2023/11/03 16:25:52 - mmengine - INFO - Iter(train) [227100/320000] base_lr: 4.0400e-05 lr: 1.7127e-05 eta: 1 day, 12:26:34 time: 2.2373 data_time: 0.1291 memory: 25854 grad_norm: 1.4109 loss: 1.3838 caption_loss_cls: 2.3352 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7658 detection_loss_cls: 0.0496 detection_loss_reg: 0.4252 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8570 2023/11/03 16:28:39 - mmengine - INFO - Iter(train) [227200/320000] base_lr: 4.0323e-05 lr: 1.7097e-05 eta: 1 day, 15:42:38 time: 2.2295 data_time: 0.1291 memory: 25854 grad_norm: 1.4056 loss: 1.3807 caption_loss_cls: 2.3365 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_reg: 0.2924 instance_segmentation_loss_poly: 0.7673 detection_loss_cls: 0.0496 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8554 2023/11/03 16:31:45 - mmengine - INFO - Iter(train) [227300/320000] base_lr: 4.0246e-05 lr: 1.7067e-05 eta: 1 day, 18:27:01 time: 2.2188 data_time: 0.1292 memory: 26531 grad_norm: 1.4092 loss: 1.3846 caption_loss_cls: 2.3371 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7681 detection_loss_cls: 0.0496 detection_loss_reg: 0.4262 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8534 2023/11/03 16:34:34 - mmengine - INFO - Iter(train) [227400/320000] base_lr: 4.0169e-05 lr: 1.7036e-05 eta: 1 day, 18:38:58 time: 2.2102 data_time: 0.1292 memory: 26531 grad_norm: 1.4080 loss: 1.3813 caption_loss_cls: 2.3345 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_reg: 0.2925 instance_segmentation_loss_poly: 0.7678 detection_loss_cls: 0.0496 detection_loss_reg: 0.4261 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8507 2023/11/03 16:37:36 - mmengine - INFO - Iter(train) [227500/320000] base_lr: 4.0093e-05 lr: 1.7006e-05 eta: 1 day, 19:26:24 time: 2.2056 data_time: 0.1292 memory: 26531 grad_norm: 1.4120 loss: 1.3813 caption_loss_cls: 2.3350 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_reg: 0.2922 instance_segmentation_loss_poly: 0.7671 detection_loss_cls: 0.0496 detection_loss_reg: 0.4262 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8508 2023/11/03 16:37:36 - mmengine - INFO - Saving checkpoint at 227500 iterations 2023/11/03 16:41:24 - mmengine - INFO - Iter(train) [227600/320000] base_lr: 4.0016e-05 lr: 1.6976e-05 eta: 1 day, 21:54:57 time: 2.1992 data_time: 0.1290 memory: 26531 grad_norm: 1.4094 loss: 1.3776 caption_loss_cls: 2.3354 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_reg: 0.2918 instance_segmentation_loss_poly: 0.7662 detection_loss_cls: 0.0494 detection_loss_reg: 0.4250 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8497 2023/11/03 16:45:03 - mmengine - INFO - Iter(train) [227700/320000] base_lr: 3.9940e-05 lr: 1.6946e-05 eta: 1 day, 23:20:06 time: 2.1977 data_time: 0.1291 memory: 25854 grad_norm: 1.3996 loss: 1.3731 caption_loss_cls: 2.3347 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7668 detection_loss_cls: 0.0493 detection_loss_reg: 0.4246 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8487 2023/11/03 16:47:54 - mmengine - INFO - Iter(train) [227800/320000] base_lr: 3.9863e-05 lr: 1.6916e-05 eta: 1 day, 22:49:59 time: 2.1802 data_time: 0.1287 memory: 25854 grad_norm: 1.4054 loss: 1.3771 caption_loss_cls: 2.3363 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_reg: 0.2920 instance_segmentation_loss_poly: 0.7662 detection_loss_cls: 0.0492 detection_loss_reg: 0.4244 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8486 2023/11/03 16:50:45 - mmengine - INFO - Iter(train) [227900/320000] base_lr: 3.9787e-05 lr: 1.6886e-05 eta: 1 day, 22:26:40 time: 2.1684 data_time: 0.1287 memory: 26531 grad_norm: 1.4084 loss: 1.3799 caption_loss_cls: 2.3389 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7663 detection_loss_cls: 0.0492 detection_loss_reg: 0.4242 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8488 2023/11/03 16:54:06 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/03 16:54:06 - mmengine - INFO - Iter(train) [228000/320000] base_lr: 3.9710e-05 lr: 1.6856e-05 eta: 1 day, 22:52:55 time: 2.1660 data_time: 0.1287 memory: 26531 grad_norm: 1.4126 loss: 1.3824 caption_loss_cls: 2.3380 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_reg: 0.2919 instance_segmentation_loss_poly: 0.7660 detection_loss_cls: 0.0492 detection_loss_reg: 0.4243 semantic_segmentation_loss_cls: 0.0119 grounding_loss_reg: 2.8493 2023/11/03 16:54:06 - mmengine - INFO - Saving checkpoint at 228000 iterations 2023/11/03 16:58:35 - mmengine - INFO - Iter(train) [228100/320000] base_lr: 3.9634e-05 lr: 1.6826e-05 eta: 2 days, 0:49:56 time: 2.1629 data_time: 0.1281 memory: 25854 grad_norm: 1.4020 loss: 1.3744 caption_loss_cls: 2.3381 instance_segmentation_loss_cls: 0.0337 instance_segmentation_loss_reg: 0.2917 instance_segmentation_loss_poly: 0.7657 detection_loss_cls: 0.0493 detection_loss_reg: 0.4246 semantic_segmentation_loss_cls: 0.0118 grounding_loss_reg: 2.8487 2023/11/03 17:01:51 - mmengine - INFO - Iter(train) [228200/320000] base_lr: 3.9558e-05 lr: 1.6796e-05 eta: 2 days, 0:52:39 time: 2.1608 data_time: 0.1279 memory: 26531 grad_norm: 1.3983 loss: 1.3731 caption_loss_cls: 2.3393 instance_segmentation_loss_cls: 0.0337 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7655 detection_loss_cls: 0.0494 detection_loss_reg: 0.4268 semantic_segmentation_loss_cls: 0.0118 grounding_loss_reg: 2.8474 2023/11/03 17:05:14 - mmengine - INFO - Iter(train) [228300/320000] base_lr: 3.9482e-05 lr: 1.6766e-05 eta: 2 days, 1:02:09 time: 2.1601 data_time: 0.1279 memory: 25854 grad_norm: 1.3986 loss: 1.3760 caption_loss_cls: 2.3382 instance_segmentation_loss_cls: 0.0336 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7649 detection_loss_cls: 0.0493 detection_loss_reg: 0.4262 semantic_segmentation_loss_cls: 0.0118 grounding_loss_reg: 2.8466 2023/11/03 17:08:15 - mmengine - INFO - Iter(train) [228400/320000] base_lr: 3.9406e-05 lr: 1.6736e-05 eta: 2 days, 0:47:01 time: 2.1546 data_time: 0.1279 memory: 26531 grad_norm: 1.3959 loss: 1.3730 caption_loss_cls: 2.3343 instance_segmentation_loss_cls: 0.0336 instance_segmentation_loss_reg: 0.2907 instance_segmentation_loss_poly: 0.7638 detection_loss_cls: 0.0493 detection_loss_reg: 0.4262 semantic_segmentation_loss_cls: 0.0118 grounding_loss_reg: 2.8458 2023/11/03 17:11:26 - mmengine - INFO - Iter(train) [228500/320000] base_lr: 3.9330e-05 lr: 1.6706e-05 eta: 2 days, 0:42:56 time: 2.1462 data_time: 0.1278 memory: 25854 grad_norm: 1.3918 loss: 1.3699 caption_loss_cls: 2.3347 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2899 instance_segmentation_loss_poly: 0.7630 detection_loss_cls: 0.0493 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0118 grounding_loss_reg: 2.8432 2023/11/03 17:11:26 - mmengine - INFO - Saving checkpoint at 228500 iterations 2023/11/03 17:15:49 - mmengine - INFO - Iter(train) [228600/320000] base_lr: 3.9254e-05 lr: 1.6676e-05 eta: 2 days, 1:47:38 time: 2.1471 data_time: 0.1272 memory: 25854 grad_norm: 1.3882 loss: 1.3622 caption_loss_cls: 2.3317 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7636 detection_loss_cls: 0.0493 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0118 grounding_loss_reg: 2.8434 2023/11/03 17:19:27 - mmengine - INFO - Iter(train) [228700/320000] base_lr: 3.9178e-05 lr: 1.6646e-05 eta: 2 days, 2:03:19 time: 2.1497 data_time: 0.1271 memory: 25854 grad_norm: 1.3898 loss: 1.3558 caption_loss_cls: 2.3320 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.7634 detection_loss_cls: 0.0493 detection_loss_reg: 0.4254 semantic_segmentation_loss_cls: 0.0118 grounding_loss_reg: 2.8433 2023/11/03 17:22:30 - mmengine - INFO - Iter(train) [228800/320000] base_lr: 3.9102e-05 lr: 1.6616e-05 eta: 2 days, 1:48:34 time: 2.1441 data_time: 0.1271 memory: 26531 grad_norm: 1.3945 loss: 1.3589 caption_loss_cls: 2.3302 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.7627 detection_loss_cls: 0.0494 detection_loss_reg: 0.4254 semantic_segmentation_loss_cls: 0.0118 grounding_loss_reg: 2.8423 2023/11/03 17:26:15 - mmengine - INFO - Iter(train) [228900/320000] base_lr: 3.9026e-05 lr: 1.6586e-05 eta: 2 days, 2:07:13 time: 2.1385 data_time: 0.1268 memory: 25854 grad_norm: 1.3877 loss: 1.3545 caption_loss_cls: 2.3304 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2884 instance_segmentation_loss_poly: 0.7605 detection_loss_cls: 0.0495 detection_loss_reg: 0.4262 semantic_segmentation_loss_cls: 0.0118 grounding_loss_reg: 2.8405 2023/11/03 17:29:23 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/03 17:29:23 - mmengine - INFO - Iter(train) [229000/320000] base_lr: 3.8950e-05 lr: 1.6556e-05 eta: 2 days, 1:56:27 time: 2.1357 data_time: 0.1267 memory: 26531 grad_norm: 1.3895 loss: 1.3544 caption_loss_cls: 2.3306 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7598 detection_loss_cls: 0.0496 detection_loss_reg: 0.4265 semantic_segmentation_loss_cls: 0.0118 grounding_loss_reg: 2.8400 2023/11/03 17:29:23 - mmengine - INFO - Saving checkpoint at 229000 iterations 2023/11/03 17:33:46 - mmengine - INFO - Iter(train) [229100/320000] base_lr: 3.8874e-05 lr: 1.6526e-05 eta: 2 days, 2:40:26 time: 2.1370 data_time: 0.1262 memory: 26531 grad_norm: 1.3851 loss: 1.3496 caption_loss_cls: 2.3303 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.7604 detection_loss_cls: 0.0494 detection_loss_reg: 0.4263 semantic_segmentation_loss_cls: 0.0118 grounding_loss_reg: 2.8381 2023/11/03 17:37:17 - mmengine - INFO - Iter(train) [229200/320000] base_lr: 3.8799e-05 lr: 1.6496e-05 eta: 2 days, 2:44:16 time: 2.1416 data_time: 0.1263 memory: 26531 grad_norm: 1.3821 loss: 1.3499 caption_loss_cls: 2.3317 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7595 detection_loss_cls: 0.0495 detection_loss_reg: 0.4254 semantic_segmentation_loss_cls: 0.0118 grounding_loss_reg: 2.8357 2023/11/03 17:40:58 - mmengine - INFO - Iter(train) [229300/320000] base_lr: 3.8723e-05 lr: 1.6467e-05 eta: 2 days, 2:53:38 time: 2.1481 data_time: 0.1263 memory: 26531 grad_norm: 1.3774 loss: 1.3445 caption_loss_cls: 2.3318 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.7599 detection_loss_cls: 0.0495 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8357 2023/11/03 17:44:28 - mmengine - INFO - Iter(train) [229400/320000] base_lr: 3.8648e-05 lr: 1.6437e-05 eta: 2 days, 2:55:27 time: 2.1436 data_time: 0.1261 memory: 25854 grad_norm: 1.3696 loss: 1.3437 caption_loss_cls: 2.3318 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2894 instance_segmentation_loss_poly: 0.7607 detection_loss_cls: 0.0495 detection_loss_reg: 0.4256 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8337 2023/11/03 17:47:59 - mmengine - INFO - Iter(train) [229500/320000] base_lr: 3.8572e-05 lr: 1.6407e-05 eta: 2 days, 2:57:31 time: 2.1433 data_time: 0.1261 memory: 26531 grad_norm: 1.3688 loss: 1.3410 caption_loss_cls: 2.3307 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.7622 detection_loss_cls: 0.0493 detection_loss_reg: 0.4250 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8320 2023/11/03 17:47:59 - mmengine - INFO - Saving checkpoint at 229500 iterations 2023/11/03 17:52:34 - mmengine - INFO - Iter(train) [229600/320000] base_lr: 3.8497e-05 lr: 1.6378e-05 eta: 2 days, 3:35:56 time: 2.1405 data_time: 0.1257 memory: 26531 grad_norm: 1.3634 loss: 1.3423 caption_loss_cls: 2.3318 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.7625 detection_loss_cls: 0.0494 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8324 2023/11/03 17:56:02 - mmengine - INFO - Iter(train) [229700/320000] base_lr: 3.8421e-05 lr: 1.6348e-05 eta: 2 days, 3:33:48 time: 2.1332 data_time: 0.1246 memory: 26531 grad_norm: 1.3607 loss: 1.3358 caption_loss_cls: 2.3317 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.7629 detection_loss_cls: 0.0494 detection_loss_reg: 0.4254 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8329 2023/11/03 17:59:35 - mmengine - INFO - Iter(train) [229800/320000] base_lr: 3.8346e-05 lr: 1.6318e-05 eta: 2 days, 3:34:03 time: 2.1318 data_time: 0.1247 memory: 25854 grad_norm: 1.3652 loss: 1.3390 caption_loss_cls: 2.3307 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.7632 detection_loss_cls: 0.0494 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8309 2023/11/03 18:03:32 - mmengine - INFO - Iter(train) [229900/320000] base_lr: 3.8271e-05 lr: 1.6289e-05 eta: 2 days, 3:47:05 time: 2.1406 data_time: 0.1248 memory: 26531 grad_norm: 1.3597 loss: 1.3349 caption_loss_cls: 2.3262 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2907 instance_segmentation_loss_poly: 0.7639 detection_loss_cls: 0.0494 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8299 2023/11/03 18:07:03 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/03 18:07:03 - mmengine - INFO - Iter(train) [230000/320000] base_lr: 3.8196e-05 lr: 1.6259e-05 eta: 2 days, 3:45:22 time: 2.1375 data_time: 0.1248 memory: 26531 grad_norm: 1.3574 loss: 1.3318 caption_loss_cls: 2.3267 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.7629 detection_loss_cls: 0.0495 detection_loss_reg: 0.4263 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8293 2023/11/03 18:07:03 - mmengine - INFO - Saving checkpoint at 230000 iterations 2023/11/03 18:11:38 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.4043 data_time: 0.0294 memory: 14015 2023/11/03 18:12:25 - mmengine - INFO - Evaluating bbox... 2023/11/03 18:13:28 - mmengine - INFO - bbox_mAP_copypaste: 0.482 0.651 0.524 0.316 0.528 0.627 2023/11/03 18:13:28 - mmengine - INFO - Evaluating segm... 2023/11/03 18:14:45 - mmengine - INFO - segm_mAP_copypaste: 0.313 0.559 0.310 0.171 0.350 0.484 2023/11/03 18:15:44 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3709 data_time: 0.0286 memory: 14015 2023/11/03 18:16:05 - mmengine - INFO - Evaluating bbox... 2023/11/03 18:17:11 - mmengine - INFO - bbox_mAP_copypaste: 0.483 0.652 0.526 0.317 0.529 0.629 2023/11/03 18:19:25 - mmengine - INFO - per class results: 2023/11/03 18:19:25 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 75.99 | 89.09 | | building | 81.47 | 92.92 | | sky | 92.9 | 97.47 | | floor | 80.15 | 89.01 | | tree | 73.06 | 86.33 | | ceiling | 81.67 | 91.9 | | road | 83.95 | 87.67 | | bed | 86.89 | 94.81 | | windowpane | 60.57 | 80.99 | | grass | 71.2 | 86.75 | | cabinet | 57.7 | 68.17 | | sidewalk | 64.83 | 80.78 | | person | 79.38 | 88.25 | | earth | 40.09 | 56.92 | | door | 47.16 | 56.81 | | table | 56.69 | 72.74 | | mountain | 62.0 | 73.04 | | plant | 51.07 | 63.36 | | curtain | 70.85 | 81.55 | | chair | 53.57 | 68.77 | | car | 81.14 | 90.13 | | water | 57.1 | 72.94 | | painting | 67.64 | 83.82 | | sofa | 62.12 | 73.99 | | shelf | 43.48 | 68.05 | | house | 44.33 | 62.33 | | sea | 65.02 | 86.62 | | mirror | 60.45 | 66.24 | | rug | 60.05 | 67.49 | | field | 33.26 | 51.46 | | armchair | 40.45 | 66.94 | | seat | 61.41 | 77.24 | | fence | 44.03 | 57.3 | | desk | 41.21 | 55.87 | | rock | 45.84 | 64.29 | | wardrobe | 54.97 | 69.06 | | lamp | 58.05 | 69.3 | | bathtub | 72.57 | 82.92 | | railing | 35.37 | 46.83 | | cushion | 50.06 | 58.01 | | base | 20.44 | 25.5 | | box | 22.62 | 27.19 | | column | 41.12 | 49.5 | | signboard | 35.29 | 44.44 | | chest of drawers | 35.27 | 66.99 | | counter | 36.12 | 60.21 | | sand | 45.27 | 51.44 | | sink | 67.11 | 77.89 | | skyscraper | 35.21 | 38.17 | | fireplace | 66.14 | 80.99 | | refrigerator | 68.88 | 82.95 | | grandstand | 40.88 | 70.15 | | path | 27.8 | 38.04 | | stairs | 36.29 | 46.9 | | runway | 73.29 | 95.06 | | case | 50.15 | 57.11 | | pool table | 91.31 | 93.53 | | pillow | 47.26 | 57.29 | | screen door | 65.74 | 84.62 | | stairway | 31.13 | 37.72 | | river | 21.97 | 32.49 | | bridge | 57.65 | 83.44 | | bookcase | 34.09 | 60.34 | | blind | 26.37 | 29.58 | | coffee table | 60.37 | 81.91 | | toilet | 80.94 | 89.02 | | flower | 32.34 | 44.24 | | book | 35.48 | 52.24 | | hill | 6.73 | 7.88 | | bench | 42.71 | 52.6 | | countertop | 52.6 | 76.96 | | stove | 64.62 | 83.69 | | palm | 48.14 | 63.77 | | kitchen island | 36.29 | 74.1 | | computer | 69.95 | 83.91 | | swivel chair | 38.55 | 55.2 | | boat | 57.67 | 73.0 | | bar | 20.68 | 23.29 | | arcade machine | 55.22 | 62.39 | | hovel | 13.02 | 14.1 | | bus | 90.04 | 95.93 | | towel | 56.55 | 70.69 | | light | 37.24 | 44.0 | | truck | 37.06 | 57.74 | | tower | 23.28 | 32.52 | | chandelier | 56.18 | 62.74 | | awning | 26.47 | 27.9 | | streetlight | 24.27 | 26.86 | | booth | 49.71 | 61.3 | | television receiver | 66.53 | 81.14 | | airplane | 57.18 | 63.57 | | dirt track | 6.61 | 8.94 | | apparel | 23.48 | 28.42 | | pole | 25.42 | 41.12 | | land | 3.52 | 4.08 | | bannister | 5.55 | 8.73 | | escalator | 48.13 | 73.93 | | ottoman | 43.3 | 55.4 | | bottle | 20.07 | 24.52 | | buffet | 45.09 | 62.33 | | poster | 20.6 | 23.97 | | stage | 8.91 | 14.11 | | van | 27.46 | 33.1 | | ship | 68.61 | 84.47 | | fountain | 22.38 | 22.8 | | conveyer belt | 69.79 | 88.2 | | canopy | 21.69 | 25.14 | | washer | 54.34 | 55.36 | | plaything | 33.23 | 45.73 | | swimming pool | 52.89 | 80.37 | | stool | 38.25 | 44.8 | | barrel | 51.22 | 60.69 | | basket | 31.85 | 42.86 | | waterfall | 50.92 | 55.14 | | tent | 93.08 | 96.63 | | bag | 15.84 | 17.61 | | minibike | 70.48 | 86.12 | | cradle | 70.84 | 88.79 | | oven | 29.29 | 36.53 | | ball | 46.96 | 69.32 | | food | 49.97 | 60.56 | | step | 5.63 | 6.73 | | tank | 43.96 | 57.18 | | trade name | 22.55 | 25.3 | | microwave | 82.52 | 89.04 | | pot | 41.18 | 46.85 | | animal | 59.84 | 63.42 | | bicycle | 58.4 | 79.96 | | lake | 0.0 | 0.0 | | dishwasher | 45.5 | 66.55 | | screen | 54.17 | 65.83 | | blanket | 3.46 | 3.8 | | sculpture | 49.69 | 70.2 | | hood | 49.75 | 53.4 | | sconce | 29.99 | 35.89 | | vase | 34.39 | 45.98 | | traffic light | 30.79 | 45.19 | | tray | 7.85 | 14.23 | | ashcan | 36.53 | 47.48 | | fan | 53.43 | 69.72 | | pier | 44.77 | 53.77 | | crt screen | 8.57 | 28.93 | | plate | 52.14 | 65.15 | | monitor | 8.68 | 8.99 | | bulletin board | 31.68 | 35.14 | | shower | 3.37 | 3.48 | | radiator | 53.04 | 59.81 | | glass | 13.53 | 14.33 | | clock | 20.79 | 25.81 | | flag | 59.85 | 63.62 | +---------------------+-------+-------+ 2023/11/03 18:19:35 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.4830 coco/bbox_mAP_50: 0.6520 coco/bbox_mAP_75: 0.5260 coco/bbox_mAP_s: 0.3170 coco/bbox_mAP_m: 0.5290 coco/bbox_mAP_l: 0.6290 coco/segm_mAP: 0.3130 coco/segm_mAP_50: 0.5590 coco/segm_mAP_75: 0.3100 coco/segm_mAP_s: 0.1710 coco/segm_mAP_m: 0.3500 coco/segm_mAP_l: 0.4840 Bleu_1: 0.7365 Bleu_2: 0.5694 Bleu_3: 0.4292 Bleu_4: 0.3215 METEOR: 0.2698 ROUGE_L: 0.5522 CIDEr: 1.0724 SPICE: 0.1981 aAcc: 82.2400 mIoU: 46.1500 mAcc: 57.4500 visual-grounding/miou: 0.7652 visual-grounding/acc: 0.8334 data_time: 0.0432 time: 1.0645 2023/11/03 18:22:48 - mmengine - INFO - Iter(train) [230100/320000] base_lr: 3.8121e-05 lr: 1.6229e-05 eta: 2 days, 3:36:54 time: 2.1191 data_time: 0.1099 memory: 26533 grad_norm: 1.3607 loss: 1.3342 caption_loss_cls: 2.3258 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7629 detection_loss_cls: 0.0495 detection_loss_reg: 0.4268 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8277 2023/11/03 18:26:20 - mmengine - INFO - Iter(train) [230200/320000] base_lr: 3.8046e-05 lr: 1.6200e-05 eta: 2 days, 3:35:52 time: 2.1145 data_time: 0.1099 memory: 25855 grad_norm: 1.3593 loss: 1.3281 caption_loss_cls: 2.3260 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2907 instance_segmentation_loss_poly: 0.7632 detection_loss_cls: 0.0495 detection_loss_reg: 0.4271 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8268 2023/11/03 18:30:00 - mmengine - INFO - Iter(train) [230300/320000] base_lr: 3.7971e-05 lr: 1.6170e-05 eta: 2 days, 3:38:20 time: 2.1138 data_time: 0.1100 memory: 25855 grad_norm: 1.3545 loss: 1.3246 caption_loss_cls: 2.3259 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7634 detection_loss_cls: 0.0495 detection_loss_reg: 0.4271 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8268 2023/11/03 18:33:17 - mmengine - INFO - Iter(train) [230400/320000] base_lr: 3.7896e-05 lr: 1.6141e-05 eta: 2 days, 3:30:29 time: 2.1063 data_time: 0.1099 memory: 25855 grad_norm: 1.3589 loss: 1.3255 caption_loss_cls: 2.3251 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2913 instance_segmentation_loss_poly: 0.7646 detection_loss_cls: 0.0493 detection_loss_reg: 0.4262 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8279 2023/11/03 18:36:42 - mmengine - INFO - Iter(train) [230500/320000] base_lr: 3.7821e-05 lr: 1.6111e-05 eta: 2 days, 3:26:11 time: 2.1041 data_time: 0.1100 memory: 25855 grad_norm: 1.3547 loss: 1.3305 caption_loss_cls: 2.3271 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2913 instance_segmentation_loss_poly: 0.7646 detection_loss_cls: 0.0493 detection_loss_reg: 0.4269 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8274 2023/11/03 18:36:42 - mmengine - INFO - Saving checkpoint at 230500 iterations 2023/11/03 18:41:10 - mmengine - INFO - Iter(train) [230600/320000] base_lr: 3.7746e-05 lr: 1.6082e-05 eta: 2 days, 3:47:52 time: 2.0888 data_time: 0.1095 memory: 25855 grad_norm: 1.3539 loss: 1.3286 caption_loss_cls: 2.3271 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2910 instance_segmentation_loss_poly: 0.7641 detection_loss_cls: 0.0492 detection_loss_reg: 0.4270 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8277 2023/11/03 18:44:54 - mmengine - INFO - Iter(train) [230700/320000] base_lr: 3.7671e-05 lr: 1.6052e-05 eta: 2 days, 3:50:41 time: 2.0888 data_time: 0.1094 memory: 25855 grad_norm: 1.3492 loss: 1.3204 caption_loss_cls: 2.3260 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7629 detection_loss_cls: 0.0493 detection_loss_reg: 0.4268 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8269 2023/11/03 18:48:37 - mmengine - INFO - Iter(train) [230800/320000] base_lr: 3.7597e-05 lr: 1.6023e-05 eta: 2 days, 3:52:34 time: 2.0934 data_time: 0.1095 memory: 25855 grad_norm: 1.3450 loss: 1.3163 caption_loss_cls: 2.3263 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7627 detection_loss_cls: 0.0493 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8253 2023/11/03 18:52:30 - mmengine - INFO - Iter(train) [230900/320000] base_lr: 3.7522e-05 lr: 1.5994e-05 eta: 2 days, 3:58:07 time: 2.0963 data_time: 0.1096 memory: 26533 grad_norm: 1.3440 loss: 1.3188 caption_loss_cls: 2.3277 instance_segmentation_loss_cls: 0.0335 instance_segmentation_loss_reg: 0.2908 instance_segmentation_loss_poly: 0.7631 detection_loss_cls: 0.0493 detection_loss_reg: 0.4272 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8252 2023/11/03 18:56:23 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/03 18:56:23 - mmengine - INFO - Iter(train) [231000/320000] base_lr: 3.7448e-05 lr: 1.5964e-05 eta: 2 days, 4:02:56 time: 2.1054 data_time: 0.1097 memory: 25855 grad_norm: 1.3388 loss: 1.3150 caption_loss_cls: 2.3277 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.7624 detection_loss_cls: 0.0491 detection_loss_reg: 0.4260 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8253 2023/11/03 18:56:23 - mmengine - INFO - Saving checkpoint at 231000 iterations 2023/11/03 19:01:07 - mmengine - INFO - Iter(train) [231100/320000] base_lr: 3.7373e-05 lr: 1.5935e-05 eta: 2 days, 4:25:56 time: 2.1410 data_time: 0.1254 memory: 26533 grad_norm: 1.3425 loss: 1.3167 caption_loss_cls: 2.3263 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.7624 detection_loss_cls: 0.0492 detection_loss_reg: 0.4267 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8241 2023/11/03 19:04:52 - mmengine - INFO - Iter(train) [231200/320000] base_lr: 3.7299e-05 lr: 1.5906e-05 eta: 2 days, 4:27:02 time: 2.1557 data_time: 0.1254 memory: 26533 grad_norm: 1.3419 loss: 1.3164 caption_loss_cls: 2.3274 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.7625 detection_loss_cls: 0.0493 detection_loss_reg: 0.4277 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8232 2023/11/03 19:08:21 - mmengine - INFO - Iter(train) [231300/320000] base_lr: 3.7224e-05 lr: 1.5876e-05 eta: 2 days, 4:22:05 time: 2.1612 data_time: 0.1253 memory: 26533 grad_norm: 1.3482 loss: 1.3192 caption_loss_cls: 2.3268 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7618 detection_loss_cls: 0.0493 detection_loss_reg: 0.4279 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8212 2023/11/03 19:12:06 - mmengine - INFO - Iter(train) [231400/320000] base_lr: 3.7150e-05 lr: 1.5847e-05 eta: 2 days, 4:22:57 time: 2.1754 data_time: 0.1254 memory: 26533 grad_norm: 1.3385 loss: 1.3140 caption_loss_cls: 2.3274 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7624 detection_loss_cls: 0.0493 detection_loss_reg: 0.4280 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8225 2023/11/03 19:15:22 - mmengine - INFO - Iter(train) [231500/320000] base_lr: 3.7076e-05 lr: 1.5818e-05 eta: 2 days, 4:13:40 time: 2.1788 data_time: 0.1253 memory: 26533 grad_norm: 1.3416 loss: 1.3155 caption_loss_cls: 2.3277 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2905 instance_segmentation_loss_poly: 0.7620 detection_loss_cls: 0.0493 detection_loss_reg: 0.4278 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8217 2023/11/03 19:15:22 - mmengine - INFO - Saving checkpoint at 231500 iterations 2023/11/03 19:19:47 - mmengine - INFO - Iter(train) [231600/320000] base_lr: 3.7002e-05 lr: 1.5788e-05 eta: 2 days, 4:26:50 time: 2.1879 data_time: 0.1257 memory: 25855 grad_norm: 1.3340 loss: 1.3141 caption_loss_cls: 2.3244 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7616 detection_loss_cls: 0.0494 detection_loss_reg: 0.4279 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8208 2023/11/03 19:23:29 - mmengine - INFO - Iter(train) [231700/320000] base_lr: 3.6927e-05 lr: 1.5759e-05 eta: 2 days, 4:26:02 time: 2.1888 data_time: 0.1256 memory: 25855 grad_norm: 1.3262 loss: 1.3071 caption_loss_cls: 2.3248 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.7615 detection_loss_cls: 0.0492 detection_loss_reg: 0.4268 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8212 2023/11/03 19:26:55 - mmengine - INFO - Iter(train) [231800/320000] base_lr: 3.6853e-05 lr: 1.5730e-05 eta: 2 days, 4:19:58 time: 2.1975 data_time: 0.1257 memory: 25855 grad_norm: 1.3334 loss: 1.3066 caption_loss_cls: 2.3234 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7629 detection_loss_cls: 0.0492 detection_loss_reg: 0.4265 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8190 2023/11/03 19:30:34 - mmengine - INFO - Iter(train) [231900/320000] base_lr: 3.6779e-05 lr: 1.5701e-05 eta: 2 days, 4:18:10 time: 2.2096 data_time: 0.1258 memory: 25855 grad_norm: 1.3274 loss: 1.2977 caption_loss_cls: 2.3205 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2908 instance_segmentation_loss_poly: 0.7633 detection_loss_cls: 0.0490 detection_loss_reg: 0.4254 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8181 2023/11/03 19:34:21 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/03 19:34:21 - mmengine - INFO - Iter(train) [232000/320000] base_lr: 3.6705e-05 lr: 1.5672e-05 eta: 2 days, 4:18:29 time: 2.2162 data_time: 0.1259 memory: 26533 grad_norm: 1.3362 loss: 1.2989 caption_loss_cls: 2.3186 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2915 instance_segmentation_loss_poly: 0.7643 detection_loss_cls: 0.0490 detection_loss_reg: 0.4243 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8172 2023/11/03 19:34:21 - mmengine - INFO - Saving checkpoint at 232000 iterations 2023/11/03 19:39:38 - mmengine - INFO - Iter(train) [232100/320000] base_lr: 3.6632e-05 lr: 1.5643e-05 eta: 2 days, 4:44:32 time: 2.2281 data_time: 0.1263 memory: 26533 grad_norm: 1.3409 loss: 1.2991 caption_loss_cls: 2.3175 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2911 instance_segmentation_loss_poly: 0.7633 detection_loss_cls: 0.0489 detection_loss_reg: 0.4238 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8132 2023/11/03 19:43:13 - mmengine - INFO - Iter(train) [232200/320000] base_lr: 3.6558e-05 lr: 1.5614e-05 eta: 2 days, 4:40:33 time: 2.2327 data_time: 0.1265 memory: 26533 grad_norm: 1.3499 loss: 1.3029 caption_loss_cls: 2.3181 instance_segmentation_loss_cls: 0.0335 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7628 detection_loss_cls: 0.0489 detection_loss_reg: 0.4241 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8137 2023/11/03 19:46:54 - mmengine - INFO - Iter(train) [232300/320000] base_lr: 3.6484e-05 lr: 1.5585e-05 eta: 2 days, 4:38:24 time: 2.2374 data_time: 0.1266 memory: 25855 grad_norm: 1.3445 loss: 1.2990 caption_loss_cls: 2.3168 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2912 instance_segmentation_loss_poly: 0.7629 detection_loss_cls: 0.0489 detection_loss_reg: 0.4237 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8127 2023/11/03 19:50:40 - mmengine - INFO - Iter(train) [232400/320000] base_lr: 3.6410e-05 lr: 1.5556e-05 eta: 2 days, 4:37:15 time: 2.2483 data_time: 0.1269 memory: 26533 grad_norm: 1.3375 loss: 1.3005 caption_loss_cls: 2.3192 instance_segmentation_loss_cls: 0.0336 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7641 detection_loss_cls: 0.0490 detection_loss_reg: 0.4246 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8134 2023/11/03 19:54:28 - mmengine - INFO - Iter(train) [232500/320000] base_lr: 3.6337e-05 lr: 1.5527e-05 eta: 2 days, 4:36:53 time: 2.2577 data_time: 0.1270 memory: 26533 grad_norm: 1.3364 loss: 1.3049 caption_loss_cls: 2.3199 instance_segmentation_loss_cls: 0.0335 instance_segmentation_loss_reg: 0.2921 instance_segmentation_loss_poly: 0.7641 detection_loss_cls: 0.0491 detection_loss_reg: 0.4250 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8129 2023/11/03 19:54:28 - mmengine - INFO - Saving checkpoint at 232500 iterations 2023/11/03 19:59:13 - mmengine - INFO - Iter(train) [232600/320000] base_lr: 3.6263e-05 lr: 1.5498e-05 eta: 2 days, 4:51:09 time: 2.2633 data_time: 0.1271 memory: 26533 grad_norm: 1.3354 loss: 1.3068 caption_loss_cls: 2.3191 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7631 detection_loss_cls: 0.0491 detection_loss_reg: 0.4252 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8111 2023/11/03 20:02:40 - mmengine - INFO - Iter(train) [232700/320000] base_lr: 3.6190e-05 lr: 1.5469e-05 eta: 2 days, 4:44:50 time: 2.2608 data_time: 0.1272 memory: 25855 grad_norm: 1.3348 loss: 1.3064 caption_loss_cls: 2.3187 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2915 instance_segmentation_loss_poly: 0.7623 detection_loss_cls: 0.0491 detection_loss_reg: 0.4253 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8092 2023/11/03 20:06:06 - mmengine - INFO - Iter(train) [232800/320000] base_lr: 3.6116e-05 lr: 1.5440e-05 eta: 2 days, 4:38:16 time: 2.2663 data_time: 0.1272 memory: 26533 grad_norm: 1.3264 loss: 1.2966 caption_loss_cls: 2.3156 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2914 instance_segmentation_loss_poly: 0.7621 detection_loss_cls: 0.0492 detection_loss_reg: 0.4262 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8063 2023/11/03 20:09:51 - mmengine - INFO - Iter(train) [232900/320000] base_lr: 3.6043e-05 lr: 1.5411e-05 eta: 2 days, 4:36:32 time: 2.2665 data_time: 0.1273 memory: 25855 grad_norm: 1.3260 loss: 1.2988 caption_loss_cls: 2.3166 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7631 detection_loss_cls: 0.0491 detection_loss_reg: 0.4263 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8052 2023/11/03 20:13:32 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/03 20:13:32 - mmengine - INFO - Iter(train) [233000/320000] base_lr: 3.5969e-05 lr: 1.5382e-05 eta: 2 days, 4:33:37 time: 2.2745 data_time: 0.1274 memory: 25855 grad_norm: 1.3201 loss: 1.2931 caption_loss_cls: 2.3161 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2912 instance_segmentation_loss_poly: 0.7626 detection_loss_cls: 0.0492 detection_loss_reg: 0.4269 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8046 2023/11/03 20:13:32 - mmengine - INFO - Saving checkpoint at 233000 iterations 2023/11/03 20:18:09 - mmengine - INFO - Iter(train) [233100/320000] base_lr: 3.5896e-05 lr: 1.5353e-05 eta: 2 days, 4:44:06 time: 2.2780 data_time: 0.1271 memory: 26533 grad_norm: 1.3235 loss: 1.2944 caption_loss_cls: 2.3175 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2909 instance_segmentation_loss_poly: 0.7621 detection_loss_cls: 0.0493 detection_loss_reg: 0.4269 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8054 2023/11/03 20:21:44 - mmengine - INFO - Iter(train) [233200/320000] base_lr: 3.5823e-05 lr: 1.5324e-05 eta: 2 days, 4:39:38 time: 2.2789 data_time: 0.1272 memory: 25855 grad_norm: 1.3259 loss: 1.2966 caption_loss_cls: 2.3157 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2912 instance_segmentation_loss_poly: 0.7630 detection_loss_cls: 0.0494 detection_loss_reg: 0.4270 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8046 2023/11/03 20:25:12 - mmengine - INFO - Iter(train) [233300/320000] base_lr: 3.5750e-05 lr: 1.5295e-05 eta: 2 days, 4:33:46 time: 2.2760 data_time: 0.1271 memory: 26533 grad_norm: 1.3270 loss: 1.2996 caption_loss_cls: 2.3150 instance_segmentation_loss_cls: 0.0334 instance_segmentation_loss_reg: 0.2916 instance_segmentation_loss_poly: 0.7635 detection_loss_cls: 0.0493 detection_loss_reg: 0.4271 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8024 2023/11/03 20:28:24 - mmengine - INFO - Iter(train) [233400/320000] base_lr: 3.5677e-05 lr: 1.5267e-05 eta: 2 days, 4:24:01 time: 2.2712 data_time: 0.1271 memory: 26533 grad_norm: 1.3265 loss: 1.3041 caption_loss_cls: 2.3133 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2908 instance_segmentation_loss_poly: 0.7616 detection_loss_cls: 0.0495 detection_loss_reg: 0.4281 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8018 2023/11/03 20:32:01 - mmengine - INFO - Iter(train) [233500/320000] base_lr: 3.5604e-05 lr: 1.5238e-05 eta: 2 days, 4:20:14 time: 2.2727 data_time: 0.1271 memory: 25855 grad_norm: 1.3276 loss: 1.3033 caption_loss_cls: 2.3119 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2910 instance_segmentation_loss_poly: 0.7618 detection_loss_cls: 0.0496 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8013 2023/11/03 20:32:01 - mmengine - INFO - Saving checkpoint at 233500 iterations 2023/11/03 20:36:30 - mmengine - INFO - Iter(train) [233600/320000] base_lr: 3.5531e-05 lr: 1.5209e-05 eta: 2 days, 4:27:52 time: 2.2713 data_time: 0.1274 memory: 25855 grad_norm: 1.3245 loss: 1.2966 caption_loss_cls: 2.3110 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2906 instance_segmentation_loss_poly: 0.7615 detection_loss_cls: 0.0495 detection_loss_reg: 0.4275 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8023 2023/11/03 20:40:07 - mmengine - INFO - Iter(train) [233700/320000] base_lr: 3.5458e-05 lr: 1.5180e-05 eta: 2 days, 4:23:48 time: 2.2735 data_time: 0.1275 memory: 26533 grad_norm: 1.3219 loss: 1.2921 caption_loss_cls: 2.3086 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.7613 detection_loss_cls: 0.0495 detection_loss_reg: 0.4277 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8015 2023/11/03 20:44:02 - mmengine - INFO - Iter(train) [233800/320000] base_lr: 3.5385e-05 lr: 1.5152e-05 eta: 2 days, 4:23:40 time: 2.2792 data_time: 0.1276 memory: 25855 grad_norm: 1.3163 loss: 1.2906 caption_loss_cls: 2.3114 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.7610 detection_loss_cls: 0.0495 detection_loss_reg: 0.4282 semantic_segmentation_loss_cls: 0.0117 grounding_loss_reg: 2.8022 2023/11/03 20:47:39 - mmengine - INFO - Iter(train) [233900/320000] base_lr: 3.5312e-05 lr: 1.5123e-05 eta: 2 days, 4:19:37 time: 2.2740 data_time: 0.1276 memory: 26533 grad_norm: 1.3197 loss: 1.2905 caption_loss_cls: 2.3107 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7614 detection_loss_cls: 0.0496 detection_loss_reg: 0.4283 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8006 2023/11/03 20:50:50 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/03 20:50:50 - mmengine - INFO - Iter(train) [234000/320000] base_lr: 3.5240e-05 lr: 1.5094e-05 eta: 2 days, 4:10:18 time: 2.2692 data_time: 0.1275 memory: 25855 grad_norm: 1.3297 loss: 1.2917 caption_loss_cls: 2.3106 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7611 detection_loss_cls: 0.0494 detection_loss_reg: 0.4272 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8019 2023/11/03 20:50:50 - mmengine - INFO - Saving checkpoint at 234000 iterations 2023/11/03 20:55:21 - mmengine - INFO - Iter(train) [234100/320000] base_lr: 3.5167e-05 lr: 1.5066e-05 eta: 2 days, 4:17:12 time: 2.2877 data_time: 0.1415 memory: 25855 grad_norm: 1.3267 loss: 1.2904 caption_loss_cls: 2.3112 instance_segmentation_loss_cls: 0.0333 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7612 detection_loss_cls: 0.0494 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8016 2023/11/03 20:58:36 - mmengine - INFO - Iter(train) [234200/320000] base_lr: 3.5095e-05 lr: 1.5037e-05 eta: 2 days, 4:08:47 time: 2.2835 data_time: 0.1414 memory: 25855 grad_norm: 1.3269 loss: 1.2899 caption_loss_cls: 2.3114 instance_segmentation_loss_cls: 0.0332 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.7609 detection_loss_cls: 0.0495 detection_loss_reg: 0.4271 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8005 2023/11/03 21:02:06 - mmengine - INFO - Iter(train) [234300/320000] base_lr: 3.5022e-05 lr: 1.5009e-05 eta: 2 days, 4:03:18 time: 2.2809 data_time: 0.1414 memory: 25855 grad_norm: 1.3238 loss: 1.2904 caption_loss_cls: 2.3099 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.7604 detection_loss_cls: 0.0495 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8018 2023/11/03 21:05:54 - mmengine - INFO - Iter(train) [234400/320000] base_lr: 3.4950e-05 lr: 1.4980e-05 eta: 2 days, 4:01:34 time: 2.2887 data_time: 0.1415 memory: 25855 grad_norm: 1.3161 loss: 1.2871 caption_loss_cls: 2.3106 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.2899 instance_segmentation_loss_poly: 0.7602 detection_loss_cls: 0.0494 detection_loss_reg: 0.4270 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8009 2023/11/03 21:09:33 - mmengine - INFO - Iter(train) [234500/320000] base_lr: 3.4877e-05 lr: 1.4952e-05 eta: 2 days, 3:57:56 time: 2.2922 data_time: 0.1415 memory: 25855 grad_norm: 1.3227 loss: 1.2891 caption_loss_cls: 2.3082 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7605 detection_loss_cls: 0.0495 detection_loss_reg: 0.4272 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8011 2023/11/03 21:09:33 - mmengine - INFO - Saving checkpoint at 234500 iterations 2023/11/03 21:14:18 - mmengine - INFO - Iter(train) [234600/320000] base_lr: 3.4805e-05 lr: 1.4923e-05 eta: 2 days, 4:06:37 time: 2.2965 data_time: 0.1412 memory: 26533 grad_norm: 1.3230 loss: 1.2894 caption_loss_cls: 2.3096 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.7604 detection_loss_cls: 0.0496 detection_loss_reg: 0.4277 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.7992 2023/11/03 21:17:54 - mmengine - INFO - Iter(train) [234700/320000] base_lr: 3.4733e-05 lr: 1.4895e-05 eta: 2 days, 4:02:12 time: 2.2943 data_time: 0.1411 memory: 25855 grad_norm: 1.3252 loss: 1.2905 caption_loss_cls: 2.3075 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.7604 detection_loss_cls: 0.0498 detection_loss_reg: 0.4276 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7999 2023/11/03 21:22:00 - mmengine - INFO - Iter(train) [234800/320000] base_lr: 3.4661e-05 lr: 1.4866e-05 eta: 2 days, 4:03:22 time: 2.3002 data_time: 0.1411 memory: 25855 grad_norm: 1.3205 loss: 1.2917 caption_loss_cls: 2.3088 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.2903 instance_segmentation_loss_poly: 0.7611 detection_loss_cls: 0.0499 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.8007 2023/11/03 21:25:19 - mmengine - INFO - Iter(train) [234900/320000] base_lr: 3.4588e-05 lr: 1.4838e-05 eta: 2 days, 3:56:04 time: 2.2918 data_time: 0.1410 memory: 26533 grad_norm: 1.3287 loss: 1.2947 caption_loss_cls: 2.3089 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7611 detection_loss_cls: 0.0498 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7975 2023/11/03 21:28:34 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/03 21:28:34 - mmengine - INFO - Iter(train) [235000/320000] base_lr: 3.4516e-05 lr: 1.4809e-05 eta: 2 days, 3:47:54 time: 2.2823 data_time: 0.1409 memory: 26533 grad_norm: 1.3308 loss: 1.2953 caption_loss_cls: 2.3049 instance_segmentation_loss_cls: 0.0330 instance_segmentation_loss_reg: 0.2904 instance_segmentation_loss_poly: 0.7612 detection_loss_cls: 0.0499 detection_loss_reg: 0.4271 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7976 2023/11/03 21:28:34 - mmengine - INFO - Saving checkpoint at 235000 iterations 2023/11/03 21:33:29 - mmengine - INFO - Iter(train) [235100/320000] base_lr: 3.4444e-05 lr: 1.4781e-05 eta: 2 days, 3:57:32 time: 2.2852 data_time: 0.1408 memory: 25855 grad_norm: 1.3246 loss: 1.2870 caption_loss_cls: 2.3044 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.7603 detection_loss_cls: 0.0500 detection_loss_reg: 0.4272 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7970 2023/11/03 21:37:20 - mmengine - INFO - Iter(train) [235200/320000] base_lr: 3.4372e-05 lr: 1.4753e-05 eta: 2 days, 3:55:38 time: 2.2865 data_time: 0.1408 memory: 25855 grad_norm: 1.3162 loss: 1.2838 caption_loss_cls: 2.3079 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2899 instance_segmentation_loss_poly: 0.7602 detection_loss_cls: 0.0498 detection_loss_reg: 0.4264 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7971 2023/11/03 21:41:17 - mmengine - INFO - Iter(train) [235300/320000] base_lr: 3.4301e-05 lr: 1.4724e-05 eta: 2 days, 3:54:45 time: 2.2935 data_time: 0.1408 memory: 26533 grad_norm: 1.3065 loss: 1.2780 caption_loss_cls: 2.3071 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.7602 detection_loss_cls: 0.0498 detection_loss_reg: 0.4260 semantic_segmentation_loss_cls: 0.0116 grounding_loss_reg: 2.7977 2023/11/03 21:45:10 - mmengine - INFO - Iter(train) [235400/320000] base_lr: 3.4229e-05 lr: 1.4696e-05 eta: 2 days, 3:53:10 time: 2.2954 data_time: 0.1408 memory: 25855 grad_norm: 1.3228 loss: 1.2791 caption_loss_cls: 2.3066 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2899 instance_segmentation_loss_poly: 0.7601 detection_loss_cls: 0.0498 detection_loss_reg: 0.4258 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7961 2023/11/03 21:48:29 - mmengine - INFO - Iter(train) [235500/320000] base_lr: 3.4157e-05 lr: 1.4668e-05 eta: 2 days, 3:45:53 time: 2.2963 data_time: 0.1408 memory: 25855 grad_norm: 1.3228 loss: 1.2800 caption_loss_cls: 2.3079 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.7597 detection_loss_cls: 0.0497 detection_loss_reg: 0.4256 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7962 2023/11/03 21:48:29 - mmengine - INFO - Saving checkpoint at 235500 iterations 2023/11/03 21:52:59 - mmengine - INFO - Iter(train) [235600/320000] base_lr: 3.4085e-05 lr: 1.4640e-05 eta: 2 days, 3:50:21 time: 2.2977 data_time: 0.1412 memory: 26533 grad_norm: 1.3286 loss: 1.2876 caption_loss_cls: 2.3087 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2901 instance_segmentation_loss_poly: 0.7605 detection_loss_cls: 0.0498 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7947 2023/11/03 21:56:57 - mmengine - INFO - Iter(train) [235700/320000] base_lr: 3.4014e-05 lr: 1.4612e-05 eta: 2 days, 3:49:19 time: 2.3015 data_time: 0.1414 memory: 26533 grad_norm: 1.3383 loss: 1.2945 caption_loss_cls: 2.3077 instance_segmentation_loss_cls: 0.0329 instance_segmentation_loss_reg: 0.2902 instance_segmentation_loss_poly: 0.7605 detection_loss_cls: 0.0498 detection_loss_reg: 0.4256 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7947 2023/11/03 22:00:35 - mmengine - INFO - Iter(train) [235800/320000] base_lr: 3.3942e-05 lr: 1.4583e-05 eta: 2 days, 3:45:04 time: 2.3046 data_time: 0.1414 memory: 25855 grad_norm: 1.3398 loss: 1.2936 caption_loss_cls: 2.3079 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2899 instance_segmentation_loss_poly: 0.7602 detection_loss_cls: 0.0499 detection_loss_reg: 0.4260 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7922 2023/11/03 22:04:17 - mmengine - INFO - Iter(train) [235900/320000] base_lr: 3.3871e-05 lr: 1.4555e-05 eta: 2 days, 3:41:32 time: 2.3053 data_time: 0.1413 memory: 26533 grad_norm: 1.3392 loss: 1.2959 caption_loss_cls: 2.3106 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.7595 detection_loss_cls: 0.0497 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7908 2023/11/03 22:07:23 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/03 22:07:23 - mmengine - INFO - Iter(train) [236000/320000] base_lr: 3.3799e-05 lr: 1.4527e-05 eta: 2 days, 3:32:22 time: 2.2950 data_time: 0.1412 memory: 26533 grad_norm: 1.3243 loss: 1.2932 caption_loss_cls: 2.3116 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.7599 detection_loss_cls: 0.0496 detection_loss_reg: 0.4258 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7904 2023/11/03 22:07:23 - mmengine - INFO - Saving checkpoint at 236000 iterations 2023/11/03 22:11:44 - mmengine - INFO - Iter(train) [236100/320000] base_lr: 3.3728e-05 lr: 1.4499e-05 eta: 2 days, 3:34:48 time: 2.2809 data_time: 0.1415 memory: 26533 grad_norm: 1.3265 loss: 1.2956 caption_loss_cls: 2.3113 instance_segmentation_loss_cls: 0.0328 instance_segmentation_loss_reg: 0.2898 instance_segmentation_loss_poly: 0.7599 detection_loss_cls: 0.0496 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7903 2023/11/03 22:15:55 - mmengine - INFO - Iter(train) [236200/320000] base_lr: 3.3657e-05 lr: 1.4471e-05 eta: 2 days, 3:35:41 time: 2.2901 data_time: 0.1416 memory: 25855 grad_norm: 1.3135 loss: 1.2880 caption_loss_cls: 2.3124 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2900 instance_segmentation_loss_poly: 0.7608 detection_loss_cls: 0.0497 detection_loss_reg: 0.4262 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7893 2023/11/03 22:19:23 - mmengine - INFO - Iter(train) [236300/320000] base_lr: 3.3586e-05 lr: 1.4443e-05 eta: 2 days, 3:29:48 time: 2.2866 data_time: 0.1415 memory: 25855 grad_norm: 1.3174 loss: 1.2867 caption_loss_cls: 2.3128 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2896 instance_segmentation_loss_poly: 0.7602 detection_loss_cls: 0.0497 detection_loss_reg: 0.4259 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7867 2023/11/03 22:23:21 - mmengine - INFO - Iter(train) [236400/320000] base_lr: 3.3514e-05 lr: 1.4415e-05 eta: 2 days, 3:28:36 time: 2.2899 data_time: 0.1415 memory: 26533 grad_norm: 1.3189 loss: 1.2859 caption_loss_cls: 2.3134 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2895 instance_segmentation_loss_poly: 0.7595 detection_loss_cls: 0.0500 detection_loss_reg: 0.4273 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7867 2023/11/03 22:27:03 - mmengine - INFO - Iter(train) [236500/320000] base_lr: 3.3443e-05 lr: 1.4387e-05 eta: 2 days, 3:24:54 time: 2.2882 data_time: 0.1415 memory: 25855 grad_norm: 1.3242 loss: 1.2826 caption_loss_cls: 2.3128 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2896 instance_segmentation_loss_poly: 0.7594 detection_loss_cls: 0.0499 detection_loss_reg: 0.4275 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7856 2023/11/03 22:27:03 - mmengine - INFO - Saving checkpoint at 236500 iterations 2023/11/03 22:31:12 - mmengine - INFO - Iter(train) [236600/320000] base_lr: 3.3372e-05 lr: 1.4359e-05 eta: 2 days, 3:25:14 time: 2.2793 data_time: 0.1413 memory: 26533 grad_norm: 1.3348 loss: 1.2857 caption_loss_cls: 2.3122 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2897 instance_segmentation_loss_poly: 0.7595 detection_loss_cls: 0.0498 detection_loss_reg: 0.4272 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7860 2023/11/03 22:34:50 - mmengine - INFO - Iter(train) [236700/320000] base_lr: 3.3301e-05 lr: 1.4331e-05 eta: 2 days, 3:20:58 time: 2.2820 data_time: 0.1413 memory: 25855 grad_norm: 1.3343 loss: 1.2907 caption_loss_cls: 2.3160 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2892 instance_segmentation_loss_poly: 0.7584 detection_loss_cls: 0.0498 detection_loss_reg: 0.4275 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7866 2023/11/03 22:38:35 - mmengine - INFO - Iter(train) [236800/320000] base_lr: 3.3231e-05 lr: 1.4303e-05 eta: 2 days, 3:17:42 time: 2.2867 data_time: 0.1413 memory: 25855 grad_norm: 1.3336 loss: 1.2961 caption_loss_cls: 2.3176 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2895 instance_segmentation_loss_poly: 0.7586 detection_loss_cls: 0.0498 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7869 2023/11/03 22:42:05 - mmengine - INFO - Iter(train) [236900/320000] base_lr: 3.3160e-05 lr: 1.4275e-05 eta: 2 days, 3:12:18 time: 2.2829 data_time: 0.1413 memory: 26533 grad_norm: 1.3375 loss: 1.2959 caption_loss_cls: 2.3161 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2892 instance_segmentation_loss_poly: 0.7587 detection_loss_cls: 0.0499 detection_loss_reg: 0.4279 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7867 2023/11/03 22:45:35 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/03 22:45:35 - mmengine - INFO - Iter(train) [237000/320000] base_lr: 3.3089e-05 lr: 1.4247e-05 eta: 2 days, 3:06:56 time: 2.2803 data_time: 0.1413 memory: 25855 grad_norm: 1.3370 loss: 1.2952 caption_loss_cls: 2.3169 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2889 instance_segmentation_loss_poly: 0.7579 detection_loss_cls: 0.0499 detection_loss_reg: 0.4283 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7871 2023/11/03 22:45:35 - mmengine - INFO - Saving checkpoint at 237000 iterations 2023/11/03 22:50:15 - mmengine - INFO - Iter(train) [237100/320000] base_lr: 3.3018e-05 lr: 1.4219e-05 eta: 2 days, 3:11:13 time: 2.2811 data_time: 0.1419 memory: 26533 grad_norm: 1.3363 loss: 1.2969 caption_loss_cls: 2.3183 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2886 instance_segmentation_loss_poly: 0.7583 detection_loss_cls: 0.0500 detection_loss_reg: 0.4285 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7866 2023/11/03 22:53:45 - mmengine - INFO - Iter(train) [237200/320000] base_lr: 3.2948e-05 lr: 1.4192e-05 eta: 2 days, 3:05:52 time: 2.2799 data_time: 0.1419 memory: 25855 grad_norm: 1.3311 loss: 1.2935 caption_loss_cls: 2.3197 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2886 instance_segmentation_loss_poly: 0.7579 detection_loss_cls: 0.0500 detection_loss_reg: 0.4287 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7870 2023/11/03 22:56:57 - mmengine - INFO - Iter(train) [237300/320000] base_lr: 3.2877e-05 lr: 1.4164e-05 eta: 2 days, 2:58:06 time: 2.2757 data_time: 0.1418 memory: 25855 grad_norm: 1.3340 loss: 1.2957 caption_loss_cls: 2.3233 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2890 instance_segmentation_loss_poly: 0.7588 detection_loss_cls: 0.0499 detection_loss_reg: 0.4282 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7857 2023/11/03 23:00:12 - mmengine - INFO - Iter(train) [237400/320000] base_lr: 3.2807e-05 lr: 1.4136e-05 eta: 2 days, 2:50:51 time: 2.2766 data_time: 0.1420 memory: 26533 grad_norm: 1.3405 loss: 1.2933 caption_loss_cls: 2.3231 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2892 instance_segmentation_loss_poly: 0.7584 detection_loss_cls: 0.0500 detection_loss_reg: 0.4285 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7839 2023/11/03 23:03:04 - mmengine - INFO - Iter(train) [237500/320000] base_lr: 3.2736e-05 lr: 1.4108e-05 eta: 2 days, 2:40:39 time: 2.2653 data_time: 0.1419 memory: 25855 grad_norm: 1.3519 loss: 1.3029 caption_loss_cls: 2.3254 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2895 instance_segmentation_loss_poly: 0.7591 detection_loss_cls: 0.0500 detection_loss_reg: 0.4285 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7811 2023/11/03 23:03:04 - mmengine - INFO - Saving checkpoint at 237500 iterations 2023/11/03 23:08:12 - mmengine - INFO - Iter(train) [237600/320000] base_lr: 3.2666e-05 lr: 1.4080e-05 eta: 2 days, 2:48:09 time: 2.2748 data_time: 0.1420 memory: 26533 grad_norm: 1.3565 loss: 1.3025 caption_loss_cls: 2.3237 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2889 instance_segmentation_loss_poly: 0.7591 detection_loss_cls: 0.0500 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7801 2023/11/03 23:11:46 - mmengine - INFO - Iter(train) [237700/320000] base_lr: 3.2596e-05 lr: 1.4053e-05 eta: 2 days, 2:43:30 time: 2.2743 data_time: 0.1420 memory: 26533 grad_norm: 1.3601 loss: 1.3073 caption_loss_cls: 2.3249 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2888 instance_segmentation_loss_poly: 0.7588 detection_loss_cls: 0.0501 detection_loss_reg: 0.4289 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7789 2023/11/03 23:15:39 - mmengine - INFO - Iter(train) [237800/320000] base_lr: 3.2525e-05 lr: 1.4025e-05 eta: 2 days, 2:41:09 time: 2.2736 data_time: 0.1420 memory: 26533 grad_norm: 1.3617 loss: 1.3057 caption_loss_cls: 2.3263 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2881 instance_segmentation_loss_poly: 0.7574 detection_loss_cls: 0.0500 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7782 2023/11/03 23:19:53 - mmengine - INFO - Iter(train) [237900/320000] base_lr: 3.2455e-05 lr: 1.3997e-05 eta: 2 days, 2:41:33 time: 2.2831 data_time: 0.1419 memory: 25855 grad_norm: 1.3597 loss: 1.3080 caption_loss_cls: 2.3268 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2884 instance_segmentation_loss_poly: 0.7582 detection_loss_cls: 0.0502 detection_loss_reg: 0.4298 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7776 2023/11/03 23:22:57 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/03 23:22:57 - mmengine - INFO - Iter(train) [238000/320000] base_lr: 3.2385e-05 lr: 1.3970e-05 eta: 2 days, 2:33:02 time: 2.2812 data_time: 0.1419 memory: 26533 grad_norm: 1.3536 loss: 1.3076 caption_loss_cls: 2.3268 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.7577 detection_loss_cls: 0.0502 detection_loss_reg: 0.4293 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7772 2023/11/03 23:22:57 - mmengine - INFO - Saving checkpoint at 238000 iterations 2023/11/03 23:27:11 - mmengine - INFO - Iter(train) [238100/320000] base_lr: 3.2315e-05 lr: 1.3942e-05 eta: 2 days, 2:33:14 time: 2.2769 data_time: 0.1425 memory: 25855 grad_norm: 1.3572 loss: 1.3083 caption_loss_cls: 2.3242 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.7579 detection_loss_cls: 0.0503 detection_loss_reg: 0.4298 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7739 2023/11/03 23:30:38 - mmengine - INFO - Iter(train) [238200/320000] base_lr: 3.2245e-05 lr: 1.3915e-05 eta: 2 days, 2:27:41 time: 2.2799 data_time: 0.1425 memory: 26533 grad_norm: 1.3623 loss: 1.3130 caption_loss_cls: 2.3233 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.7578 detection_loss_cls: 0.0503 detection_loss_reg: 0.4301 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7734 2023/11/03 23:33:55 - mmengine - INFO - Iter(train) [238300/320000] base_lr: 3.2175e-05 lr: 1.3887e-05 eta: 2 days, 2:21:03 time: 2.2770 data_time: 0.1424 memory: 25855 grad_norm: 1.3693 loss: 1.3115 caption_loss_cls: 2.3231 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.7578 detection_loss_cls: 0.0503 detection_loss_reg: 0.4297 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7717 2023/11/03 23:37:56 - mmengine - INFO - Iter(train) [238400/320000] base_lr: 3.2105e-05 lr: 1.3860e-05 eta: 2 days, 2:19:37 time: 2.2801 data_time: 0.1424 memory: 26533 grad_norm: 1.3635 loss: 1.3082 caption_loss_cls: 2.3218 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.7576 detection_loss_cls: 0.0503 detection_loss_reg: 0.4307 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7720 2023/11/03 23:41:02 - mmengine - INFO - Iter(train) [238500/320000] base_lr: 3.2036e-05 lr: 1.3832e-05 eta: 2 days, 2:11:34 time: 2.2716 data_time: 0.1423 memory: 26533 grad_norm: 1.3666 loss: 1.3027 caption_loss_cls: 2.3218 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.7575 detection_loss_cls: 0.0504 detection_loss_reg: 0.4304 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7711 2023/11/03 23:41:02 - mmengine - INFO - Saving checkpoint at 238500 iterations 2023/11/03 23:45:50 - mmengine - INFO - Iter(train) [238600/320000] base_lr: 3.1966e-05 lr: 1.3805e-05 eta: 2 days, 2:15:41 time: 2.2726 data_time: 0.1429 memory: 25855 grad_norm: 1.3578 loss: 1.2999 caption_loss_cls: 2.3198 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7573 detection_loss_cls: 0.0503 detection_loss_reg: 0.4301 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7704 2023/11/03 23:50:16 - mmengine - INFO - Iter(train) [238700/320000] base_lr: 3.1896e-05 lr: 1.3777e-05 eta: 2 days, 2:17:01 time: 2.2851 data_time: 0.1431 memory: 26533 grad_norm: 1.3531 loss: 1.2998 caption_loss_cls: 2.3199 instance_segmentation_loss_cls: 0.0327 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.7575 detection_loss_cls: 0.0503 detection_loss_reg: 0.4303 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7694 2023/11/03 23:54:11 - mmengine - INFO - Iter(train) [238800/320000] base_lr: 3.1827e-05 lr: 1.3750e-05 eta: 2 days, 2:14:42 time: 2.2823 data_time: 0.1431 memory: 26533 grad_norm: 1.3646 loss: 1.3019 caption_loss_cls: 2.3192 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2879 instance_segmentation_loss_poly: 0.7572 detection_loss_cls: 0.0502 detection_loss_reg: 0.4296 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7711 2023/11/03 23:57:51 - mmengine - INFO - Iter(train) [238900/320000] base_lr: 3.1757e-05 lr: 1.3723e-05 eta: 2 days, 2:10:41 time: 2.2874 data_time: 0.1431 memory: 25855 grad_norm: 1.3585 loss: 1.2942 caption_loss_cls: 2.3188 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.7562 detection_loss_cls: 0.0502 detection_loss_reg: 0.4295 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7712 2023/11/04 00:01:13 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 00:01:13 - mmengine - INFO - Iter(train) [239000/320000] base_lr: 3.1688e-05 lr: 1.3695e-05 eta: 2 days, 2:04:39 time: 2.2894 data_time: 0.1432 memory: 25855 grad_norm: 1.3581 loss: 1.2926 caption_loss_cls: 2.3202 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7577 detection_loss_cls: 0.0502 detection_loss_reg: 0.4294 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7681 2023/11/04 00:01:13 - mmengine - INFO - Saving checkpoint at 239000 iterations 2023/11/04 00:05:33 - mmengine - INFO - Iter(train) [239100/320000] base_lr: 3.1618e-05 lr: 1.3668e-05 eta: 2 days, 2:05:03 time: 2.2804 data_time: 0.1431 memory: 25855 grad_norm: 1.3697 loss: 1.3008 caption_loss_cls: 2.3205 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2886 instance_segmentation_loss_poly: 0.7582 detection_loss_cls: 0.0501 detection_loss_reg: 0.4289 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7670 2023/11/04 00:10:00 - mmengine - INFO - Iter(train) [239200/320000] base_lr: 3.1549e-05 lr: 1.3641e-05 eta: 2 days, 2:06:14 time: 2.2895 data_time: 0.1434 memory: 25855 grad_norm: 1.3798 loss: 1.3031 caption_loss_cls: 2.3194 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.7570 detection_loss_cls: 0.0502 detection_loss_reg: 0.4295 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7656 2023/11/04 00:13:19 - mmengine - INFO - Iter(train) [239300/320000] base_lr: 3.1480e-05 lr: 1.3613e-05 eta: 2 days, 1:59:53 time: 2.2801 data_time: 0.1434 memory: 25855 grad_norm: 1.3855 loss: 1.3057 caption_loss_cls: 2.3179 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.7570 detection_loss_cls: 0.0501 detection_loss_reg: 0.4292 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7640 2023/11/04 00:16:53 - mmengine - INFO - Iter(train) [239400/320000] base_lr: 3.1411e-05 lr: 1.3586e-05 eta: 2 days, 1:55:08 time: 2.2752 data_time: 0.1434 memory: 25855 grad_norm: 1.3883 loss: 1.3102 caption_loss_cls: 2.3186 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.7565 detection_loss_cls: 0.0500 detection_loss_reg: 0.4291 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7617 2023/11/04 00:20:30 - mmengine - INFO - Iter(train) [239500/320000] base_lr: 3.1342e-05 lr: 1.3559e-05 eta: 2 days, 1:50:47 time: 2.2797 data_time: 0.1435 memory: 25855 grad_norm: 1.3877 loss: 1.3118 caption_loss_cls: 2.3194 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.7569 detection_loss_cls: 0.0499 detection_loss_reg: 0.4296 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7614 2023/11/04 00:20:30 - mmengine - INFO - Saving checkpoint at 239500 iterations 2023/11/04 00:24:47 - mmengine - INFO - Iter(train) [239600/320000] base_lr: 3.1273e-05 lr: 1.3532e-05 eta: 2 days, 1:50:43 time: 2.2764 data_time: 0.1434 memory: 26533 grad_norm: 1.3869 loss: 1.3078 caption_loss_cls: 2.3169 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2875 instance_segmentation_loss_poly: 0.7557 detection_loss_cls: 0.0500 detection_loss_reg: 0.4294 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7609 2023/11/04 00:28:30 - mmengine - INFO - Iter(train) [239700/320000] base_lr: 3.1204e-05 lr: 1.3504e-05 eta: 2 days, 1:46:58 time: 2.2728 data_time: 0.1433 memory: 26533 grad_norm: 1.3834 loss: 1.3053 caption_loss_cls: 2.3167 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2875 instance_segmentation_loss_poly: 0.7557 detection_loss_cls: 0.0500 detection_loss_reg: 0.4294 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7597 2023/11/04 00:32:04 - mmengine - INFO - Iter(train) [239800/320000] base_lr: 3.1135e-05 lr: 1.3477e-05 eta: 2 days, 1:42:13 time: 2.2717 data_time: 0.1433 memory: 26533 grad_norm: 1.3842 loss: 1.3050 caption_loss_cls: 2.3174 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2879 instance_segmentation_loss_poly: 0.7560 detection_loss_cls: 0.0500 detection_loss_reg: 0.4293 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7565 2023/11/04 00:35:14 - mmengine - INFO - Iter(train) [239900/320000] base_lr: 3.1066e-05 lr: 1.3450e-05 eta: 2 days, 1:35:09 time: 2.2638 data_time: 0.1433 memory: 25855 grad_norm: 1.3876 loss: 1.3109 caption_loss_cls: 2.3183 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2875 instance_segmentation_loss_poly: 0.7553 detection_loss_cls: 0.0500 detection_loss_reg: 0.4296 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7556 2023/11/04 00:39:00 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 00:39:00 - mmengine - INFO - Iter(train) [240000/320000] base_lr: 3.0997e-05 lr: 1.3423e-05 eta: 2 days, 1:31:43 time: 2.2737 data_time: 0.1434 memory: 26533 grad_norm: 1.3887 loss: 1.3117 caption_loss_cls: 2.3163 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.7556 detection_loss_cls: 0.0500 detection_loss_reg: 0.4300 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7551 2023/11/04 00:39:00 - mmengine - INFO - Saving checkpoint at 240000 iterations 2023/11/04 00:43:38 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.3997 data_time: 0.0297 memory: 14015 2023/11/04 00:44:27 - mmengine - INFO - Evaluating bbox... 2023/11/04 00:45:31 - mmengine - INFO - bbox_mAP_copypaste: 0.481 0.653 0.524 0.319 0.529 0.629 2023/11/04 00:45:31 - mmengine - INFO - Evaluating segm... 2023/11/04 00:46:45 - mmengine - INFO - segm_mAP_copypaste: 0.315 0.555 0.311 0.172 0.358 0.487 2023/11/04 00:47:45 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3706 data_time: 0.0288 memory: 14015 2023/11/04 00:48:07 - mmengine - INFO - Evaluating bbox... 2023/11/04 00:49:12 - mmengine - INFO - bbox_mAP_copypaste: 0.481 0.652 0.523 0.317 0.528 0.629 2023/11/04 00:51:12 - mmengine - INFO - per class results: 2023/11/04 00:51:12 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.31 | 87.67 | | building | 81.32 | 89.88 | | sky | 93.16 | 97.39 | | floor | 80.82 | 86.67 | | tree | 72.07 | 90.12 | | ceiling | 82.8 | 92.49 | | road | 83.14 | 90.08 | | bed | 86.23 | 95.51 | | windowpane | 61.84 | 80.8 | | grass | 67.49 | 86.37 | | cabinet | 56.71 | 64.72 | | sidewalk | 63.6 | 74.55 | | person | 78.98 | 90.72 | | earth | 36.81 | 45.95 | | door | 52.15 | 66.21 | | table | 56.08 | 75.89 | | mountain | 62.07 | 79.95 | | plant | 48.86 | 58.68 | | curtain | 70.16 | 85.36 | | chair | 55.12 | 70.18 | | car | 79.49 | 90.16 | | water | 51.1 | 62.19 | | painting | 68.15 | 87.82 | | sofa | 65.1 | 86.04 | | shelf | 43.37 | 63.41 | | house | 47.72 | 74.35 | | sea | 61.45 | 85.87 | | mirror | 59.82 | 69.63 | | rug | 68.55 | 77.29 | | field | 28.4 | 41.64 | | armchair | 39.19 | 52.83 | | seat | 61.34 | 76.97 | | fence | 43.89 | 58.82 | | desk | 43.3 | 62.67 | | rock | 38.81 | 52.81 | | wardrobe | 52.37 | 67.89 | | lamp | 56.93 | 71.72 | | bathtub | 70.73 | 82.14 | | railing | 35.39 | 48.64 | | cushion | 48.47 | 57.46 | | base | 23.77 | 36.58 | | box | 28.54 | 38.42 | | column | 44.7 | 59.98 | | signboard | 37.23 | 48.68 | | chest of drawers | 37.24 | 68.72 | | counter | 26.1 | 30.58 | | sand | 50.04 | 78.0 | | sink | 65.56 | 76.76 | | skyscraper | 47.71 | 56.32 | | fireplace | 67.33 | 84.76 | | refrigerator | 69.34 | 86.37 | | grandstand | 36.87 | 80.98 | | path | 25.68 | 36.99 | | stairs | 34.23 | 42.73 | | runway | 71.36 | 92.4 | | case | 49.61 | 62.62 | | pool table | 86.42 | 97.2 | | pillow | 49.33 | 61.72 | | screen door | 64.78 | 82.29 | | stairway | 33.37 | 46.39 | | river | 16.43 | 37.72 | | bridge | 54.94 | 83.7 | | bookcase | 30.8 | 50.21 | | blind | 26.49 | 28.5 | | coffee table | 58.11 | 76.62 | | toilet | 82.19 | 89.2 | | flower | 31.97 | 46.45 | | book | 44.3 | 64.06 | | hill | 12.6 | 20.24 | | bench | 46.11 | 58.1 | | countertop | 47.76 | 79.03 | | stove | 68.73 | 81.56 | | palm | 43.56 | 55.17 | | kitchen island | 32.99 | 84.63 | | computer | 69.31 | 83.5 | | swivel chair | 38.44 | 51.9 | | boat | 64.1 | 87.66 | | bar | 43.34 | 55.38 | | arcade machine | 74.13 | 83.42 | | hovel | 37.51 | 43.6 | | bus | 89.18 | 95.22 | | towel | 59.5 | 74.98 | | light | 41.02 | 49.36 | | truck | 35.05 | 61.33 | | tower | 24.4 | 40.43 | | chandelier | 62.92 | 82.16 | | awning | 32.15 | 34.5 | | streetlight | 29.54 | 45.51 | | booth | 40.35 | 53.44 | | television receiver | 66.69 | 80.98 | | airplane | 53.22 | 63.63 | | dirt track | 3.83 | 17.29 | | apparel | 34.41 | 51.03 | | pole | 19.17 | 28.91 | | land | 10.81 | 16.64 | | bannister | 4.94 | 6.96 | | escalator | 52.91 | 74.13 | | ottoman | 45.05 | 60.97 | | bottle | 27.49 | 34.88 | | buffet | 47.85 | 58.04 | | poster | 19.64 | 33.77 | | stage | 7.84 | 13.24 | | van | 29.76 | 36.06 | | ship | 73.81 | 80.23 | | fountain | 22.33 | 23.05 | | conveyer belt | 69.73 | 91.37 | | canopy | 24.22 | 32.53 | | washer | 56.53 | 58.0 | | plaything | 19.95 | 28.64 | | swimming pool | 50.62 | 86.43 | | stool | 44.34 | 60.23 | | barrel | 23.48 | 62.28 | | basket | 30.68 | 41.67 | | waterfall | 69.16 | 78.86 | | tent | 68.65 | 96.57 | | bag | 10.2 | 11.23 | | minibike | 70.81 | 85.81 | | cradle | 71.51 | 90.2 | | oven | 35.23 | 41.32 | | ball | 48.06 | 65.17 | | food | 52.33 | 62.29 | | step | 6.24 | 7.25 | | tank | 42.44 | 58.0 | | trade name | 22.03 | 24.6 | | microwave | 84.83 | 90.8 | | pot | 39.68 | 46.27 | | animal | 63.63 | 69.27 | | bicycle | 58.79 | 79.73 | | lake | 14.63 | 15.33 | | dishwasher | 45.05 | 77.78 | | screen | 54.89 | 81.99 | | blanket | 5.27 | 6.13 | | sculpture | 38.9 | 53.32 | | hood | 52.85 | 61.31 | | sconce | 32.25 | 43.5 | | vase | 38.03 | 51.76 | | traffic light | 32.19 | 39.16 | | tray | 4.97 | 9.14 | | ashcan | 36.66 | 51.54 | | fan | 55.74 | 72.51 | | pier | 45.72 | 48.51 | | crt screen | 2.44 | 4.75 | | plate | 49.31 | 58.87 | | monitor | 12.03 | 14.47 | | bulletin board | 38.91 | 50.35 | | shower | 2.06 | 2.93 | | radiator | 57.31 | 64.69 | | glass | 16.4 | 17.84 | | clock | 20.89 | 27.29 | | flag | 61.33 | 69.48 | +---------------------+-------+-------+ 2023/11/04 00:51:21 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.4810 coco/bbox_mAP_50: 0.6520 coco/bbox_mAP_75: 0.5230 coco/bbox_mAP_s: 0.3170 coco/bbox_mAP_m: 0.5280 coco/bbox_mAP_l: 0.6290 coco/segm_mAP: 0.3150 coco/segm_mAP_50: 0.5550 coco/segm_mAP_75: 0.3110 coco/segm_mAP_s: 0.1720 coco/segm_mAP_m: 0.3580 coco/segm_mAP_l: 0.4870 Bleu_1: 0.7530 Bleu_2: 0.5823 Bleu_3: 0.4412 Bleu_4: 0.3306 METEOR: 0.2715 ROUGE_L: 0.5547 CIDEr: 1.0862 SPICE: 0.1990 aAcc: 82.1300 mIoU: 46.7800 mAcc: 60.1100 visual-grounding/miou: 0.7758 visual-grounding/acc: 0.8455 data_time: 0.0284 time: 1.0278 2023/11/04 00:54:43 - mmengine - INFO - Iter(train) [240100/320000] base_lr: 3.0928e-05 lr: 1.3396e-05 eta: 2 days, 1:26:09 time: 2.2597 data_time: 0.1286 memory: 26533 grad_norm: 1.3838 loss: 1.3117 caption_loss_cls: 2.3133 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.7551 detection_loss_cls: 0.0500 detection_loss_reg: 0.4300 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7564 2023/11/04 00:58:04 - mmengine - INFO - Iter(train) [240200/320000] base_lr: 3.0860e-05 lr: 1.3369e-05 eta: 2 days, 1:20:17 time: 2.2471 data_time: 0.1284 memory: 25855 grad_norm: 1.3954 loss: 1.3198 caption_loss_cls: 2.3160 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.7558 detection_loss_cls: 0.0500 detection_loss_reg: 0.4297 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7565 2023/11/04 01:01:35 - mmengine - INFO - Iter(train) [240300/320000] base_lr: 3.0791e-05 lr: 1.3342e-05 eta: 2 days, 1:15:23 time: 2.2481 data_time: 0.1286 memory: 26533 grad_norm: 1.4047 loss: 1.3313 caption_loss_cls: 2.3177 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.7566 detection_loss_cls: 0.0501 detection_loss_reg: 0.4297 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7576 2023/11/04 01:05:26 - mmengine - INFO - Iter(train) [240400/320000] base_lr: 3.0723e-05 lr: 1.3315e-05 eta: 2 days, 1:12:32 time: 2.2463 data_time: 0.1285 memory: 26533 grad_norm: 1.4100 loss: 1.3313 caption_loss_cls: 2.3172 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2878 instance_segmentation_loss_poly: 0.7567 detection_loss_cls: 0.0502 detection_loss_reg: 0.4306 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7560 2023/11/04 01:09:03 - mmengine - INFO - Iter(train) [240500/320000] base_lr: 3.0654e-05 lr: 1.3288e-05 eta: 2 days, 1:08:16 time: 2.2451 data_time: 0.1285 memory: 25855 grad_norm: 1.4054 loss: 1.3324 caption_loss_cls: 2.3163 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.7568 detection_loss_cls: 0.0501 detection_loss_reg: 0.4309 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7553 2023/11/04 01:09:03 - mmengine - INFO - Saving checkpoint at 240500 iterations 2023/11/04 01:13:46 - mmengine - INFO - Iter(train) [240600/320000] base_lr: 3.0586e-05 lr: 1.3261e-05 eta: 2 days, 1:10:25 time: 2.2534 data_time: 0.1288 memory: 25855 grad_norm: 1.3943 loss: 1.3295 caption_loss_cls: 2.3175 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.7567 detection_loss_cls: 0.0501 detection_loss_reg: 0.4310 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7557 2023/11/04 01:17:52 - mmengine - INFO - Iter(train) [240700/320000] base_lr: 3.0518e-05 lr: 1.3234e-05 eta: 2 days, 1:08:56 time: 2.2604 data_time: 0.1290 memory: 25855 grad_norm: 1.3903 loss: 1.3247 caption_loss_cls: 2.3175 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.7565 detection_loss_cls: 0.0501 detection_loss_reg: 0.4315 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7521 2023/11/04 01:21:30 - mmengine - INFO - Iter(train) [240800/320000] base_lr: 3.0449e-05 lr: 1.3207e-05 eta: 2 days, 1:04:43 time: 2.2587 data_time: 0.1289 memory: 25855 grad_norm: 1.3962 loss: 1.3288 caption_loss_cls: 2.3191 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.7574 detection_loss_cls: 0.0501 detection_loss_reg: 0.4310 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7508 2023/11/04 01:25:20 - mmengine - INFO - Iter(train) [240900/320000] base_lr: 3.0381e-05 lr: 1.3181e-05 eta: 2 days, 1:01:39 time: 2.2637 data_time: 0.1291 memory: 26533 grad_norm: 1.3958 loss: 1.3309 caption_loss_cls: 2.3190 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7585 detection_loss_cls: 0.0501 detection_loss_reg: 0.4313 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7518 2023/11/04 01:28:47 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 01:28:47 - mmengine - INFO - Iter(train) [241000/320000] base_lr: 3.0313e-05 lr: 1.3154e-05 eta: 2 days, 0:56:24 time: 2.2630 data_time: 0.1291 memory: 26533 grad_norm: 1.3982 loss: 1.3340 caption_loss_cls: 2.3178 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2891 instance_segmentation_loss_poly: 0.7603 detection_loss_cls: 0.0500 detection_loss_reg: 0.4308 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7510 2023/11/04 01:28:47 - mmengine - INFO - Saving checkpoint at 241000 iterations 2023/11/04 01:33:07 - mmengine - INFO - Iter(train) [241100/320000] base_lr: 3.0245e-05 lr: 1.3127e-05 eta: 2 days, 0:56:10 time: 2.2581 data_time: 0.1291 memory: 26533 grad_norm: 1.4021 loss: 1.3331 caption_loss_cls: 2.3144 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2893 instance_segmentation_loss_poly: 0.7603 detection_loss_cls: 0.0501 detection_loss_reg: 0.4313 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7519 2023/11/04 01:36:49 - mmengine - INFO - Iter(train) [241200/320000] base_lr: 3.0177e-05 lr: 1.3100e-05 eta: 2 days, 0:52:20 time: 2.2610 data_time: 0.1292 memory: 25855 grad_norm: 1.4041 loss: 1.3351 caption_loss_cls: 2.3121 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2891 instance_segmentation_loss_poly: 0.7599 detection_loss_cls: 0.0500 detection_loss_reg: 0.4311 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7505 2023/11/04 01:40:21 - mmengine - INFO - Iter(train) [241300/320000] base_lr: 3.0109e-05 lr: 1.3073e-05 eta: 2 days, 0:47:32 time: 2.2660 data_time: 0.1291 memory: 25855 grad_norm: 1.4037 loss: 1.3342 caption_loss_cls: 2.3122 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2888 instance_segmentation_loss_poly: 0.7595 detection_loss_cls: 0.0502 detection_loss_reg: 0.4324 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7500 2023/11/04 01:44:13 - mmengine - INFO - Iter(train) [241400/320000] base_lr: 3.0042e-05 lr: 1.3047e-05 eta: 2 days, 0:44:35 time: 2.2751 data_time: 0.1292 memory: 25855 grad_norm: 1.3930 loss: 1.3321 caption_loss_cls: 2.3129 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2889 instance_segmentation_loss_poly: 0.7592 detection_loss_cls: 0.0500 detection_loss_reg: 0.4316 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7501 2023/11/04 01:47:39 - mmengine - INFO - Iter(train) [241500/320000] base_lr: 2.9974e-05 lr: 1.3020e-05 eta: 2 days, 0:39:19 time: 2.2837 data_time: 0.1293 memory: 25855 grad_norm: 1.3866 loss: 1.3320 caption_loss_cls: 2.3112 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2888 instance_segmentation_loss_poly: 0.7588 detection_loss_cls: 0.0501 detection_loss_reg: 0.4321 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7507 2023/11/04 01:47:39 - mmengine - INFO - Saving checkpoint at 241500 iterations 2023/11/04 01:52:05 - mmengine - INFO - Iter(train) [241600/320000] base_lr: 2.9906e-05 lr: 1.2993e-05 eta: 2 days, 0:39:29 time: 2.2735 data_time: 0.1294 memory: 26533 grad_norm: 1.3843 loss: 1.3369 caption_loss_cls: 2.3100 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2888 instance_segmentation_loss_poly: 0.7587 detection_loss_cls: 0.0501 detection_loss_reg: 0.4322 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7520 2023/11/04 01:56:00 - mmengine - INFO - Iter(train) [241700/320000] base_lr: 2.9839e-05 lr: 1.2967e-05 eta: 2 days, 0:36:45 time: 2.2785 data_time: 0.1295 memory: 26533 grad_norm: 1.3848 loss: 1.3361 caption_loss_cls: 2.3097 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.7584 detection_loss_cls: 0.0502 detection_loss_reg: 0.4340 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7504 2023/11/04 01:59:43 - mmengine - INFO - Iter(train) [241800/320000] base_lr: 2.9771e-05 lr: 1.2940e-05 eta: 2 days, 0:32:58 time: 2.2760 data_time: 0.1295 memory: 25855 grad_norm: 1.3832 loss: 1.3377 caption_loss_cls: 2.3079 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2881 instance_segmentation_loss_poly: 0.7580 detection_loss_cls: 0.0502 detection_loss_reg: 0.4346 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7507 2023/11/04 02:03:39 - mmengine - INFO - Iter(train) [241900/320000] base_lr: 2.9704e-05 lr: 1.2914e-05 eta: 2 days, 0:30:21 time: 2.2714 data_time: 0.1294 memory: 26533 grad_norm: 1.3852 loss: 1.3366 caption_loss_cls: 2.3070 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2879 instance_segmentation_loss_poly: 0.7573 detection_loss_cls: 0.0502 detection_loss_reg: 0.4338 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7511 2023/11/04 02:07:31 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 02:07:31 - mmengine - INFO - Iter(train) [242000/320000] base_lr: 2.9636e-05 lr: 1.2887e-05 eta: 2 days, 0:27:22 time: 2.2836 data_time: 0.1297 memory: 26533 grad_norm: 1.3764 loss: 1.3321 caption_loss_cls: 2.3068 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.7570 detection_loss_cls: 0.0501 detection_loss_reg: 0.4332 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7510 2023/11/04 02:07:31 - mmengine - INFO - Saving checkpoint at 242000 iterations 2023/11/04 02:12:08 - mmengine - INFO - Iter(train) [242100/320000] base_lr: 2.9569e-05 lr: 1.2860e-05 eta: 2 days, 0:28:12 time: 2.2894 data_time: 0.1299 memory: 26533 grad_norm: 1.3719 loss: 1.3314 caption_loss_cls: 2.3046 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2881 instance_segmentation_loss_poly: 0.7571 detection_loss_cls: 0.0501 detection_loss_reg: 0.4333 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7512 2023/11/04 02:16:07 - mmengine - INFO - Iter(train) [242200/320000] base_lr: 2.9502e-05 lr: 1.2834e-05 eta: 2 days, 0:25:46 time: 2.2974 data_time: 0.1298 memory: 25855 grad_norm: 1.3674 loss: 1.3266 caption_loss_cls: 2.3045 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2875 instance_segmentation_loss_poly: 0.7554 detection_loss_cls: 0.0501 detection_loss_reg: 0.4330 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7491 2023/11/04 02:20:18 - mmengine - INFO - Iter(train) [242300/320000] base_lr: 2.9434e-05 lr: 1.2807e-05 eta: 2 days, 0:24:16 time: 2.3106 data_time: 0.1300 memory: 26533 grad_norm: 1.3580 loss: 1.3224 caption_loss_cls: 2.3042 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2867 instance_segmentation_loss_poly: 0.7543 detection_loss_cls: 0.0501 detection_loss_reg: 0.4332 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7482 2023/11/04 02:24:06 - mmengine - INFO - Iter(train) [242400/320000] base_lr: 2.9367e-05 lr: 1.2781e-05 eta: 2 days, 0:20:49 time: 2.3073 data_time: 0.1300 memory: 26533 grad_norm: 1.3663 loss: 1.3281 caption_loss_cls: 2.3024 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.7554 detection_loss_cls: 0.0500 detection_loss_reg: 0.4328 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7481 2023/11/04 02:27:41 - mmengine - INFO - Iter(train) [242500/320000] base_lr: 2.9300e-05 lr: 1.2755e-05 eta: 2 days, 0:16:20 time: 2.3148 data_time: 0.1303 memory: 26533 grad_norm: 1.3527 loss: 1.3208 caption_loss_cls: 2.2985 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2879 instance_segmentation_loss_poly: 0.7556 detection_loss_cls: 0.0500 detection_loss_reg: 0.4318 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7490 2023/11/04 02:27:41 - mmengine - INFO - Saving checkpoint at 242500 iterations 2023/11/04 02:32:00 - mmengine - INFO - Iter(train) [242600/320000] base_lr: 2.9233e-05 lr: 1.2728e-05 eta: 2 days, 0:15:27 time: 2.3074 data_time: 0.1301 memory: 26533 grad_norm: 1.3687 loss: 1.3268 caption_loss_cls: 2.2987 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2875 instance_segmentation_loss_poly: 0.7544 detection_loss_cls: 0.0497 detection_loss_reg: 0.4304 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7496 2023/11/04 02:35:35 - mmengine - INFO - Iter(train) [242700/320000] base_lr: 2.9166e-05 lr: 1.2702e-05 eta: 2 days, 0:10:54 time: 2.2946 data_time: 0.1301 memory: 26533 grad_norm: 1.3748 loss: 1.3283 caption_loss_cls: 2.2981 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2875 instance_segmentation_loss_poly: 0.7546 detection_loss_cls: 0.0496 detection_loss_reg: 0.4301 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7510 2023/11/04 02:39:32 - mmengine - INFO - Iter(train) [242800/320000] base_lr: 2.9099e-05 lr: 1.2676e-05 eta: 2 days, 0:08:11 time: 2.2951 data_time: 0.1304 memory: 26533 grad_norm: 1.3675 loss: 1.3288 caption_loss_cls: 2.3009 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.7538 detection_loss_cls: 0.0495 detection_loss_reg: 0.4295 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7487 2023/11/04 02:43:26 - mmengine - INFO - Iter(train) [242900/320000] base_lr: 2.9033e-05 lr: 1.2649e-05 eta: 2 days, 0:05:14 time: 2.2987 data_time: 0.1316 memory: 26533 grad_norm: 1.3672 loss: 1.3308 caption_loss_cls: 2.3012 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.7530 detection_loss_cls: 0.0495 detection_loss_reg: 0.4308 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7464 2023/11/04 02:46:56 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 02:46:56 - mmengine - INFO - Iter(train) [243000/320000] base_lr: 2.8966e-05 lr: 1.2623e-05 eta: 2 days, 0:00:19 time: 2.3006 data_time: 0.1316 memory: 25855 grad_norm: 1.3649 loss: 1.3290 caption_loss_cls: 2.2996 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.7531 detection_loss_cls: 0.0495 detection_loss_reg: 0.4304 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7467 2023/11/04 02:46:56 - mmengine - INFO - Saving checkpoint at 243000 iterations 2023/11/04 02:51:31 - mmengine - INFO - Iter(train) [243100/320000] base_lr: 2.8899e-05 lr: 1.2597e-05 eta: 2 days, 0:00:38 time: 2.3046 data_time: 0.1312 memory: 25855 grad_norm: 1.3638 loss: 1.3326 caption_loss_cls: 2.3006 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2874 instance_segmentation_loss_poly: 0.7536 detection_loss_cls: 0.0496 detection_loss_reg: 0.4310 semantic_segmentation_loss_cls: 0.0115 grounding_loss_reg: 2.7464 2023/11/04 02:55:04 - mmengine - INFO - Iter(train) [243200/320000] base_lr: 2.8833e-05 lr: 1.2570e-05 eta: 1 day, 23:55:57 time: 2.2910 data_time: 0.1308 memory: 25855 grad_norm: 1.3677 loss: 1.3296 caption_loss_cls: 2.2999 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.7539 detection_loss_cls: 0.0498 detection_loss_reg: 0.4322 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7445 2023/11/04 02:58:32 - mmengine - INFO - Iter(train) [243300/320000] base_lr: 2.8766e-05 lr: 1.2544e-05 eta: 1 day, 23:50:52 time: 2.2932 data_time: 0.1310 memory: 26533 grad_norm: 1.3750 loss: 1.3317 caption_loss_cls: 2.3006 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2878 instance_segmentation_loss_poly: 0.7539 detection_loss_cls: 0.0498 detection_loss_reg: 0.4330 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7427 2023/11/04 03:02:15 - mmengine - INFO - Iter(train) [243400/320000] base_lr: 2.8700e-05 lr: 1.2518e-05 eta: 1 day, 23:47:00 time: 2.2955 data_time: 0.1309 memory: 25855 grad_norm: 1.3636 loss: 1.3292 caption_loss_cls: 2.3008 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.7549 detection_loss_cls: 0.0499 detection_loss_reg: 0.4332 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7427 2023/11/04 03:05:43 - mmengine - INFO - Iter(train) [243500/320000] base_lr: 2.8633e-05 lr: 1.2492e-05 eta: 1 day, 23:41:59 time: 2.2932 data_time: 0.1309 memory: 26533 grad_norm: 1.3695 loss: 1.3312 caption_loss_cls: 2.3012 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2886 instance_segmentation_loss_poly: 0.7554 detection_loss_cls: 0.0498 detection_loss_reg: 0.4332 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7413 2023/11/04 03:05:43 - mmengine - INFO - Saving checkpoint at 243500 iterations 2023/11/04 03:10:10 - mmengine - INFO - Iter(train) [243600/320000] base_lr: 2.8567e-05 lr: 1.2466e-05 eta: 1 day, 23:41:31 time: 2.2958 data_time: 0.1309 memory: 25855 grad_norm: 1.3728 loss: 1.3315 caption_loss_cls: 2.3016 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2885 instance_segmentation_loss_poly: 0.7555 detection_loss_cls: 0.0497 detection_loss_reg: 0.4325 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7397 2023/11/04 03:13:44 - mmengine - INFO - Iter(train) [243700/320000] base_lr: 2.8501e-05 lr: 1.2440e-05 eta: 1 day, 23:36:56 time: 2.2934 data_time: 0.1309 memory: 26533 grad_norm: 1.3851 loss: 1.3358 caption_loss_cls: 2.3001 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2883 instance_segmentation_loss_poly: 0.7553 detection_loss_cls: 0.0495 detection_loss_reg: 0.4323 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7394 2023/11/04 03:17:21 - mmengine - INFO - Iter(train) [243800/320000] base_lr: 2.8435e-05 lr: 1.2414e-05 eta: 1 day, 23:32:38 time: 2.2945 data_time: 0.1309 memory: 26533 grad_norm: 1.3766 loss: 1.3359 caption_loss_cls: 2.2968 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.7550 detection_loss_cls: 0.0495 detection_loss_reg: 0.4318 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7363 2023/11/04 03:21:01 - mmengine - INFO - Iter(train) [243900/320000] base_lr: 2.8369e-05 lr: 1.2388e-05 eta: 1 day, 23:28:30 time: 2.3016 data_time: 0.1308 memory: 26533 grad_norm: 1.3704 loss: 1.3242 caption_loss_cls: 2.2973 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.7542 detection_loss_cls: 0.0494 detection_loss_reg: 0.4310 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7375 2023/11/04 03:24:11 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 03:24:11 - mmengine - INFO - Iter(train) [244000/320000] base_lr: 2.8303e-05 lr: 1.2362e-05 eta: 1 day, 23:22:11 time: 2.2927 data_time: 0.1306 memory: 26533 grad_norm: 1.3791 loss: 1.3256 caption_loss_cls: 2.2996 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.7537 detection_loss_cls: 0.0495 detection_loss_reg: 0.4314 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7370 2023/11/04 03:24:11 - mmengine - INFO - Saving checkpoint at 244000 iterations 2023/11/04 03:28:53 - mmengine - INFO - Iter(train) [244100/320000] base_lr: 2.8237e-05 lr: 1.2336e-05 eta: 1 day, 23:22:40 time: 2.3119 data_time: 0.1455 memory: 26533 grad_norm: 1.3790 loss: 1.3215 caption_loss_cls: 2.2995 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.7544 detection_loss_cls: 0.0496 detection_loss_reg: 0.4319 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7363 2023/11/04 03:32:09 - mmengine - INFO - Iter(train) [244200/320000] base_lr: 2.8171e-05 lr: 1.2310e-05 eta: 1 day, 23:16:49 time: 2.3106 data_time: 0.1455 memory: 26533 grad_norm: 1.3791 loss: 1.3200 caption_loss_cls: 2.3024 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.7540 detection_loss_cls: 0.0496 detection_loss_reg: 0.4320 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7366 2023/11/04 03:35:35 - mmengine - INFO - Iter(train) [244300/320000] base_lr: 2.8105e-05 lr: 1.2284e-05 eta: 1 day, 23:11:47 time: 2.3096 data_time: 0.1453 memory: 25855 grad_norm: 1.3696 loss: 1.3133 caption_loss_cls: 2.2997 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2878 instance_segmentation_loss_poly: 0.7543 detection_loss_cls: 0.0497 detection_loss_reg: 0.4324 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7378 2023/11/04 03:39:27 - mmengine - INFO - Iter(train) [244400/320000] base_lr: 2.8039e-05 lr: 1.2258e-05 eta: 1 day, 23:08:32 time: 2.3097 data_time: 0.1453 memory: 26533 grad_norm: 1.3727 loss: 1.3118 caption_loss_cls: 2.2995 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2878 instance_segmentation_loss_poly: 0.7539 detection_loss_cls: 0.0495 detection_loss_reg: 0.4315 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7372 2023/11/04 03:43:39 - mmengine - INFO - Iter(train) [244500/320000] base_lr: 2.7974e-05 lr: 1.2232e-05 eta: 1 day, 23:06:45 time: 2.3184 data_time: 0.1453 memory: 26533 grad_norm: 1.3685 loss: 1.3096 caption_loss_cls: 2.2984 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2880 instance_segmentation_loss_poly: 0.7540 detection_loss_cls: 0.0494 detection_loss_reg: 0.4318 semantic_segmentation_loss_cls: 0.0114 grounding_loss_reg: 2.7364 2023/11/04 03:43:39 - mmengine - INFO - Saving checkpoint at 244500 iterations 2023/11/04 03:48:11 - mmengine - INFO - Iter(train) [244600/320000] base_lr: 2.7908e-05 lr: 1.2206e-05 eta: 1 day, 23:06:26 time: 2.3158 data_time: 0.1453 memory: 25855 grad_norm: 1.3693 loss: 1.3058 caption_loss_cls: 2.2982 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2882 instance_segmentation_loss_poly: 0.7547 detection_loss_cls: 0.0494 detection_loss_reg: 0.4313 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7343 2023/11/04 03:51:33 - mmengine - INFO - Iter(train) [244700/320000] base_lr: 2.7843e-05 lr: 1.2180e-05 eta: 1 day, 23:01:04 time: 2.3049 data_time: 0.1451 memory: 26533 grad_norm: 1.3703 loss: 1.3048 caption_loss_cls: 2.2967 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.7535 detection_loss_cls: 0.0493 detection_loss_reg: 0.4313 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7342 2023/11/04 03:55:05 - mmengine - INFO - Iter(train) [244800/320000] base_lr: 2.7777e-05 lr: 1.2155e-05 eta: 1 day, 22:56:24 time: 2.3033 data_time: 0.1451 memory: 25855 grad_norm: 1.3630 loss: 1.2980 caption_loss_cls: 2.2941 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2873 instance_segmentation_loss_poly: 0.7526 detection_loss_cls: 0.0492 detection_loss_reg: 0.4314 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7327 2023/11/04 03:58:37 - mmengine - INFO - Iter(train) [244900/320000] base_lr: 2.7712e-05 lr: 1.2129e-05 eta: 1 day, 22:51:45 time: 2.2988 data_time: 0.1450 memory: 26533 grad_norm: 1.3649 loss: 1.2987 caption_loss_cls: 2.2929 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.7539 detection_loss_cls: 0.0493 detection_loss_reg: 0.4323 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7330 2023/11/04 04:02:00 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 04:02:00 - mmengine - INFO - Iter(train) [245000/320000] base_lr: 2.7646e-05 lr: 1.2103e-05 eta: 1 day, 22:46:29 time: 2.2978 data_time: 0.1450 memory: 26533 grad_norm: 1.3701 loss: 1.3013 caption_loss_cls: 2.2913 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2877 instance_segmentation_loss_poly: 0.7542 detection_loss_cls: 0.0493 detection_loss_reg: 0.4319 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7338 2023/11/04 04:02:00 - mmengine - INFO - Saving checkpoint at 245000 iterations 2023/11/04 04:06:44 - mmengine - INFO - Iter(train) [245100/320000] base_lr: 2.7581e-05 lr: 1.2077e-05 eta: 1 day, 22:46:51 time: 2.3037 data_time: 0.1451 memory: 25855 grad_norm: 1.3616 loss: 1.2975 caption_loss_cls: 2.2924 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2874 instance_segmentation_loss_poly: 0.7536 detection_loss_cls: 0.0493 detection_loss_reg: 0.4318 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7321 2023/11/04 04:10:14 - mmengine - INFO - Iter(train) [245200/320000] base_lr: 2.7516e-05 lr: 1.2052e-05 eta: 1 day, 22:42:05 time: 2.3006 data_time: 0.1451 memory: 25855 grad_norm: 1.3635 loss: 1.2963 caption_loss_cls: 2.2917 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2873 instance_segmentation_loss_poly: 0.7535 detection_loss_cls: 0.0493 detection_loss_reg: 0.4325 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7315 2023/11/04 04:13:47 - mmengine - INFO - Iter(train) [245300/320000] base_lr: 2.7451e-05 lr: 1.2026e-05 eta: 1 day, 22:37:32 time: 2.3010 data_time: 0.1451 memory: 26533 grad_norm: 1.3612 loss: 1.2941 caption_loss_cls: 2.2921 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2867 instance_segmentation_loss_poly: 0.7523 detection_loss_cls: 0.0494 detection_loss_reg: 0.4328 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7310 2023/11/04 04:17:03 - mmengine - INFO - Iter(train) [245400/320000] base_lr: 2.7386e-05 lr: 1.2001e-05 eta: 1 day, 22:31:52 time: 2.2921 data_time: 0.1449 memory: 25855 grad_norm: 1.3911 loss: 1.2952 caption_loss_cls: 2.2938 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2866 instance_segmentation_loss_poly: 0.7520 detection_loss_cls: 0.0494 detection_loss_reg: 0.4328 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7300 2023/11/04 04:20:33 - mmengine - INFO - Iter(train) [245500/320000] base_lr: 2.7321e-05 lr: 1.1975e-05 eta: 1 day, 22:27:07 time: 2.2930 data_time: 0.1451 memory: 25855 grad_norm: 1.3855 loss: 1.2882 caption_loss_cls: 2.2919 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.7519 detection_loss_cls: 0.0495 detection_loss_reg: 0.4329 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7288 2023/11/04 04:20:33 - mmengine - INFO - Saving checkpoint at 245500 iterations 2023/11/04 04:25:46 - mmengine - INFO - Iter(train) [245600/320000] base_lr: 2.7256e-05 lr: 1.1949e-05 eta: 1 day, 22:29:18 time: 2.3047 data_time: 0.1446 memory: 25855 grad_norm: 1.3816 loss: 1.2829 caption_loss_cls: 2.2925 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2865 instance_segmentation_loss_poly: 0.7515 detection_loss_cls: 0.0495 detection_loss_reg: 0.4330 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7291 2023/11/04 04:29:50 - mmengine - INFO - Iter(train) [245700/320000] base_lr: 2.7191e-05 lr: 1.1924e-05 eta: 1 day, 22:26:47 time: 2.3070 data_time: 0.1447 memory: 26533 grad_norm: 1.3809 loss: 1.2794 caption_loss_cls: 2.2921 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7513 detection_loss_cls: 0.0494 detection_loss_reg: 0.4326 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7279 2023/11/04 04:33:06 - mmengine - INFO - Iter(train) [245800/320000] base_lr: 2.7127e-05 lr: 1.1898e-05 eta: 1 day, 22:21:07 time: 2.3002 data_time: 0.1446 memory: 25855 grad_norm: 1.3869 loss: 1.2797 caption_loss_cls: 2.2964 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2859 instance_segmentation_loss_poly: 0.7510 detection_loss_cls: 0.0493 detection_loss_reg: 0.4325 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7262 2023/11/04 04:36:23 - mmengine - INFO - Iter(train) [245900/320000] base_lr: 2.7062e-05 lr: 1.1873e-05 eta: 1 day, 22:15:34 time: 2.2905 data_time: 0.1445 memory: 25855 grad_norm: 1.3988 loss: 1.2835 caption_loss_cls: 2.2946 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7519 detection_loss_cls: 0.0494 detection_loss_reg: 0.4326 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7256 2023/11/04 04:40:14 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 04:40:14 - mmengine - INFO - Iter(train) [246000/320000] base_lr: 2.6997e-05 lr: 1.1847e-05 eta: 1 day, 22:12:11 time: 2.2900 data_time: 0.1445 memory: 25855 grad_norm: 1.4025 loss: 1.2879 caption_loss_cls: 2.2941 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2867 instance_segmentation_loss_poly: 0.7528 detection_loss_cls: 0.0493 detection_loss_reg: 0.4322 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7267 2023/11/04 04:40:14 - mmengine - INFO - Saving checkpoint at 246000 iterations 2023/11/04 04:45:11 - mmengine - INFO - Iter(train) [246100/320000] base_lr: 2.6933e-05 lr: 1.1822e-05 eta: 1 day, 22:13:09 time: 2.2953 data_time: 0.1445 memory: 26533 grad_norm: 1.4004 loss: 1.2870 caption_loss_cls: 2.2932 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2869 instance_segmentation_loss_poly: 0.7534 detection_loss_cls: 0.0493 detection_loss_reg: 0.4325 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7259 2023/11/04 04:48:39 - mmengine - INFO - Iter(train) [246200/320000] base_lr: 2.6868e-05 lr: 1.1797e-05 eta: 1 day, 22:08:18 time: 2.2875 data_time: 0.1445 memory: 25855 grad_norm: 1.4064 loss: 1.2928 caption_loss_cls: 2.2923 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2870 instance_segmentation_loss_poly: 0.7535 detection_loss_cls: 0.0493 detection_loss_reg: 0.4320 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7248 2023/11/04 04:52:06 - mmengine - INFO - Iter(train) [246300/320000] base_lr: 2.6804e-05 lr: 1.1771e-05 eta: 1 day, 22:03:20 time: 2.2764 data_time: 0.1445 memory: 26533 grad_norm: 1.4151 loss: 1.3005 caption_loss_cls: 2.2921 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2865 instance_segmentation_loss_poly: 0.7519 detection_loss_cls: 0.0494 detection_loss_reg: 0.4320 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7249 2023/11/04 04:55:52 - mmengine - INFO - Iter(train) [246400/320000] base_lr: 2.6740e-05 lr: 1.1746e-05 eta: 1 day, 21:59:42 time: 2.2762 data_time: 0.1443 memory: 26533 grad_norm: 1.4212 loss: 1.2977 caption_loss_cls: 2.2914 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2865 instance_segmentation_loss_poly: 0.7516 detection_loss_cls: 0.0494 detection_loss_reg: 0.4323 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7264 2023/11/04 04:59:42 - mmengine - INFO - Iter(train) [246500/320000] base_lr: 2.6675e-05 lr: 1.1721e-05 eta: 1 day, 21:56:15 time: 2.2798 data_time: 0.1441 memory: 25855 grad_norm: 1.4242 loss: 1.3021 caption_loss_cls: 2.2890 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2867 instance_segmentation_loss_poly: 0.7524 detection_loss_cls: 0.0495 detection_loss_reg: 0.4323 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7271 2023/11/04 04:59:42 - mmengine - INFO - Saving checkpoint at 246500 iterations 2023/11/04 05:04:04 - mmengine - INFO - Iter(train) [246600/320000] base_lr: 2.6611e-05 lr: 1.1695e-05 eta: 1 day, 21:54:47 time: 2.2805 data_time: 0.1445 memory: 25855 grad_norm: 1.4254 loss: 1.2985 caption_loss_cls: 2.2893 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2865 instance_segmentation_loss_poly: 0.7519 detection_loss_cls: 0.0495 detection_loss_reg: 0.4325 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7269 2023/11/04 05:07:43 - mmengine - INFO - Iter(train) [246700/320000] base_lr: 2.6547e-05 lr: 1.1670e-05 eta: 1 day, 21:50:40 time: 2.2816 data_time: 0.1444 memory: 26533 grad_norm: 1.4256 loss: 1.2982 caption_loss_cls: 2.2895 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7514 detection_loss_cls: 0.0494 detection_loss_reg: 0.4329 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7274 2023/11/04 05:12:13 - mmengine - INFO - Iter(train) [246800/320000] base_lr: 2.6483e-05 lr: 1.1645e-05 eta: 1 day, 21:49:38 time: 2.2898 data_time: 0.1440 memory: 26533 grad_norm: 1.4281 loss: 1.2961 caption_loss_cls: 2.2886 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7498 detection_loss_cls: 0.0494 detection_loss_reg: 0.4327 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7280 2023/11/04 05:15:55 - mmengine - INFO - Iter(train) [246900/320000] base_lr: 2.6419e-05 lr: 1.1620e-05 eta: 1 day, 21:45:43 time: 2.2868 data_time: 0.1428 memory: 26533 grad_norm: 1.4225 loss: 1.2940 caption_loss_cls: 2.2878 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7500 detection_loss_cls: 0.0494 detection_loss_reg: 0.4331 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7285 2023/11/04 05:19:03 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 05:19:03 - mmengine - INFO - Iter(train) [247000/320000] base_lr: 2.6355e-05 lr: 1.1595e-05 eta: 1 day, 21:39:39 time: 2.2812 data_time: 0.1427 memory: 25855 grad_norm: 1.4323 loss: 1.2988 caption_loss_cls: 2.2879 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7498 detection_loss_cls: 0.0493 detection_loss_reg: 0.4327 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7271 2023/11/04 05:19:03 - mmengine - INFO - Saving checkpoint at 247000 iterations 2023/11/04 05:23:51 - mmengine - INFO - Iter(train) [247100/320000] base_lr: 2.6291e-05 lr: 1.1569e-05 eta: 1 day, 21:39:41 time: 2.2843 data_time: 0.1434 memory: 25855 grad_norm: 1.4328 loss: 1.2915 caption_loss_cls: 2.2872 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2856 instance_segmentation_loss_poly: 0.7499 detection_loss_cls: 0.0493 detection_loss_reg: 0.4318 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7252 2023/11/04 05:27:49 - mmengine - INFO - Iter(train) [247200/320000] base_lr: 2.6228e-05 lr: 1.1544e-05 eta: 1 day, 21:36:42 time: 2.2907 data_time: 0.1435 memory: 26533 grad_norm: 1.4288 loss: 1.2903 caption_loss_cls: 2.2873 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.7490 detection_loss_cls: 0.0492 detection_loss_reg: 0.4316 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7245 2023/11/04 05:31:29 - mmengine - INFO - Iter(train) [247300/320000] base_lr: 2.6164e-05 lr: 1.1519e-05 eta: 1 day, 21:32:38 time: 2.2939 data_time: 0.1435 memory: 25855 grad_norm: 1.4230 loss: 1.2851 caption_loss_cls: 2.2853 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7470 detection_loss_cls: 0.0491 detection_loss_reg: 0.4310 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7223 2023/11/04 05:35:22 - mmengine - INFO - Iter(train) [247400/320000] base_lr: 2.6100e-05 lr: 1.1494e-05 eta: 1 day, 21:29:16 time: 2.2962 data_time: 0.1435 memory: 26533 grad_norm: 1.4247 loss: 1.2827 caption_loss_cls: 2.2868 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2845 instance_segmentation_loss_poly: 0.7464 detection_loss_cls: 0.0492 detection_loss_reg: 0.4313 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7207 2023/11/04 05:38:48 - mmengine - INFO - Iter(train) [247500/320000] base_lr: 2.6037e-05 lr: 1.1469e-05 eta: 1 day, 21:24:24 time: 2.2959 data_time: 0.1435 memory: 26533 grad_norm: 1.4154 loss: 1.2731 caption_loss_cls: 2.2831 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7463 detection_loss_cls: 0.0493 detection_loss_reg: 0.4316 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7209 2023/11/04 05:38:48 - mmengine - INFO - Saving checkpoint at 247500 iterations 2023/11/04 05:43:14 - mmengine - INFO - Iter(train) [247600/320000] base_lr: 2.5974e-05 lr: 1.1444e-05 eta: 1 day, 21:22:58 time: 2.2954 data_time: 0.1437 memory: 25855 grad_norm: 1.4165 loss: 1.2755 caption_loss_cls: 2.2807 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2842 instance_segmentation_loss_poly: 0.7457 detection_loss_cls: 0.0493 detection_loss_reg: 0.4331 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7199 2023/11/04 05:46:29 - mmengine - INFO - Iter(train) [247700/320000] base_lr: 2.5910e-05 lr: 1.1419e-05 eta: 1 day, 21:17:27 time: 2.2909 data_time: 0.1437 memory: 25855 grad_norm: 1.4190 loss: 1.2733 caption_loss_cls: 2.2779 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7470 detection_loss_cls: 0.0493 detection_loss_reg: 0.4329 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7202 2023/11/04 05:50:10 - mmengine - INFO - Iter(train) [247800/320000] base_lr: 2.5847e-05 lr: 1.1394e-05 eta: 1 day, 21:13:24 time: 2.2916 data_time: 0.1439 memory: 26533 grad_norm: 1.4258 loss: 1.2783 caption_loss_cls: 2.2760 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2859 instance_segmentation_loss_poly: 0.7486 detection_loss_cls: 0.0493 detection_loss_reg: 0.4328 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7208 2023/11/04 05:53:31 - mmengine - INFO - Iter(train) [247900/320000] base_lr: 2.5784e-05 lr: 1.1369e-05 eta: 1 day, 21:08:15 time: 2.2870 data_time: 0.1440 memory: 25855 grad_norm: 1.4303 loss: 1.2859 caption_loss_cls: 2.2759 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2862 instance_segmentation_loss_poly: 0.7495 detection_loss_cls: 0.0493 detection_loss_reg: 0.4329 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7207 2023/11/04 05:57:09 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 05:57:09 - mmengine - INFO - Iter(train) [248000/320000] base_lr: 2.5720e-05 lr: 1.1344e-05 eta: 1 day, 21:04:02 time: 2.2939 data_time: 0.1441 memory: 26533 grad_norm: 1.4283 loss: 1.2830 caption_loss_cls: 2.2743 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2859 instance_segmentation_loss_poly: 0.7484 detection_loss_cls: 0.0493 detection_loss_reg: 0.4323 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7207 2023/11/04 05:57:09 - mmengine - INFO - Saving checkpoint at 248000 iterations 2023/11/04 06:01:41 - mmengine - INFO - Iter(train) [248100/320000] base_lr: 2.5657e-05 lr: 1.1320e-05 eta: 1 day, 21:02:56 time: 2.2915 data_time: 0.1443 memory: 25855 grad_norm: 1.4319 loss: 1.2848 caption_loss_cls: 2.2733 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2864 instance_segmentation_loss_poly: 0.7492 detection_loss_cls: 0.0493 detection_loss_reg: 0.4319 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7186 2023/11/04 06:05:17 - mmengine - INFO - Iter(train) [248200/320000] base_lr: 2.5594e-05 lr: 1.1295e-05 eta: 1 day, 20:58:40 time: 2.2967 data_time: 0.1444 memory: 26533 grad_norm: 1.4319 loss: 1.2825 caption_loss_cls: 2.2742 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7486 detection_loss_cls: 0.0493 detection_loss_reg: 0.4319 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7171 2023/11/04 06:09:10 - mmengine - INFO - Iter(train) [248300/320000] base_lr: 2.5531e-05 lr: 1.1270e-05 eta: 1 day, 20:55:20 time: 2.3032 data_time: 0.1444 memory: 26533 grad_norm: 1.4367 loss: 1.2745 caption_loss_cls: 2.2744 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2856 instance_segmentation_loss_poly: 0.7477 detection_loss_cls: 0.0492 detection_loss_reg: 0.4310 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7164 2023/11/04 06:12:54 - mmengine - INFO - Iter(train) [248400/320000] base_lr: 2.5469e-05 lr: 1.1245e-05 eta: 1 day, 20:51:27 time: 2.3013 data_time: 0.1444 memory: 26533 grad_norm: 1.4303 loss: 1.2717 caption_loss_cls: 2.2749 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2852 instance_segmentation_loss_poly: 0.7466 detection_loss_cls: 0.0492 detection_loss_reg: 0.4311 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7142 2023/11/04 06:16:29 - mmengine - INFO - Iter(train) [248500/320000] base_lr: 2.5406e-05 lr: 1.1220e-05 eta: 1 day, 20:47:06 time: 2.2920 data_time: 0.1442 memory: 25855 grad_norm: 1.4318 loss: 1.2733 caption_loss_cls: 2.2771 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.7468 detection_loss_cls: 0.0491 detection_loss_reg: 0.4314 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7135 2023/11/04 06:16:29 - mmengine - INFO - Saving checkpoint at 248500 iterations 2023/11/04 06:21:31 - mmengine - INFO - Iter(train) [248600/320000] base_lr: 2.5343e-05 lr: 1.1196e-05 eta: 1 day, 20:47:33 time: 2.2994 data_time: 0.1444 memory: 26533 grad_norm: 1.4347 loss: 1.2760 caption_loss_cls: 2.2764 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7475 detection_loss_cls: 0.0492 detection_loss_reg: 0.4322 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7137 2023/11/04 06:25:30 - mmengine - INFO - Iter(train) [248700/320000] base_lr: 2.5280e-05 lr: 1.1171e-05 eta: 1 day, 20:44:31 time: 2.3086 data_time: 0.1446 memory: 26533 grad_norm: 1.4411 loss: 1.2809 caption_loss_cls: 2.2750 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7473 detection_loss_cls: 0.0495 detection_loss_reg: 0.4335 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7123 2023/11/04 06:29:09 - mmengine - INFO - Iter(train) [248800/320000] base_lr: 2.5218e-05 lr: 1.1146e-05 eta: 1 day, 20:40:21 time: 2.3103 data_time: 0.1445 memory: 25855 grad_norm: 1.4420 loss: 1.2807 caption_loss_cls: 2.2752 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2856 instance_segmentation_loss_poly: 0.7462 detection_loss_cls: 0.0494 detection_loss_reg: 0.4334 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7132 2023/11/04 06:32:51 - mmengine - INFO - Iter(train) [248900/320000] base_lr: 2.5155e-05 lr: 1.1122e-05 eta: 1 day, 20:36:25 time: 2.3131 data_time: 0.1445 memory: 25855 grad_norm: 1.4397 loss: 1.2773 caption_loss_cls: 2.2755 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2860 instance_segmentation_loss_poly: 0.7472 detection_loss_cls: 0.0494 detection_loss_reg: 0.4337 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7126 2023/11/04 06:36:54 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 06:36:54 - mmengine - INFO - Iter(train) [249000/320000] base_lr: 2.5093e-05 lr: 1.1097e-05 eta: 1 day, 20:33:34 time: 2.3231 data_time: 0.1445 memory: 26533 grad_norm: 1.4474 loss: 1.2682 caption_loss_cls: 2.2756 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.7456 detection_loss_cls: 0.0493 detection_loss_reg: 0.4338 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7109 2023/11/04 06:36:54 - mmengine - INFO - Saving checkpoint at 249000 iterations 2023/11/04 06:41:35 - mmengine - INFO - Iter(train) [249100/320000] base_lr: 2.5030e-05 lr: 1.1073e-05 eta: 1 day, 20:32:42 time: 2.3221 data_time: 0.1443 memory: 26533 grad_norm: 1.4539 loss: 1.2764 caption_loss_cls: 2.2743 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7470 detection_loss_cls: 0.0493 detection_loss_reg: 0.4342 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7125 2023/11/04 06:45:08 - mmengine - INFO - Iter(train) [249200/320000] base_lr: 2.4968e-05 lr: 1.1048e-05 eta: 1 day, 20:28:14 time: 2.3229 data_time: 0.1444 memory: 26533 grad_norm: 1.4529 loss: 1.2779 caption_loss_cls: 2.2756 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7475 detection_loss_cls: 0.0492 detection_loss_reg: 0.4342 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7122 2023/11/04 06:48:46 - mmengine - INFO - Iter(train) [249300/320000] base_lr: 2.4906e-05 lr: 1.1024e-05 eta: 1 day, 20:24:04 time: 2.3243 data_time: 0.1444 memory: 25855 grad_norm: 1.4572 loss: 1.2775 caption_loss_cls: 2.2765 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2854 instance_segmentation_loss_poly: 0.7474 detection_loss_cls: 0.0492 detection_loss_reg: 0.4341 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7117 2023/11/04 06:52:47 - mmengine - INFO - Iter(train) [249400/320000] base_lr: 2.4844e-05 lr: 1.0999e-05 eta: 1 day, 20:21:04 time: 2.3355 data_time: 0.1445 memory: 25855 grad_norm: 1.4269 loss: 1.2735 caption_loss_cls: 2.2750 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.7475 detection_loss_cls: 0.0492 detection_loss_reg: 0.4341 semantic_segmentation_loss_cls: 0.0113 grounding_loss_reg: 2.7118 2023/11/04 06:56:22 - mmengine - INFO - Iter(train) [249500/320000] base_lr: 2.4782e-05 lr: 1.0975e-05 eta: 1 day, 20:16:42 time: 2.3367 data_time: 0.1443 memory: 25855 grad_norm: 1.4232 loss: 1.2720 caption_loss_cls: 2.2764 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2846 instance_segmentation_loss_poly: 0.7463 detection_loss_cls: 0.0491 detection_loss_reg: 0.4344 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7120 2023/11/04 06:56:22 - mmengine - INFO - Saving checkpoint at 249500 iterations 2023/11/04 07:01:18 - mmengine - INFO - Iter(train) [249600/320000] base_lr: 2.4720e-05 lr: 1.0950e-05 eta: 1 day, 20:16:34 time: 2.3324 data_time: 0.1439 memory: 25855 grad_norm: 1.4332 loss: 1.2765 caption_loss_cls: 2.2752 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.7447 detection_loss_cls: 0.0492 detection_loss_reg: 0.4343 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7121 2023/11/04 07:05:08 - mmengine - INFO - Iter(train) [249700/320000] base_lr: 2.4658e-05 lr: 1.0926e-05 eta: 1 day, 20:12:58 time: 2.3289 data_time: 0.1438 memory: 26533 grad_norm: 1.4369 loss: 1.2805 caption_loss_cls: 2.2737 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7451 detection_loss_cls: 0.0491 detection_loss_reg: 0.4345 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7114 2023/11/04 07:09:11 - mmengine - INFO - Iter(train) [249800/320000] base_lr: 2.4596e-05 lr: 1.0901e-05 eta: 1 day, 20:10:03 time: 2.3408 data_time: 0.1438 memory: 26533 grad_norm: 1.4346 loss: 1.2772 caption_loss_cls: 2.2741 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.7445 detection_loss_cls: 0.0490 detection_loss_reg: 0.4336 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7115 2023/11/04 07:12:51 - mmengine - INFO - Iter(train) [249900/320000] base_lr: 2.4534e-05 lr: 1.0877e-05 eta: 1 day, 20:05:57 time: 2.3464 data_time: 0.1438 memory: 25855 grad_norm: 1.4341 loss: 1.2736 caption_loss_cls: 2.2726 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.7445 detection_loss_cls: 0.0489 detection_loss_reg: 0.4332 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7105 2023/11/04 07:16:08 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 07:16:08 - mmengine - INFO - Iter(train) [250000/320000] base_lr: 2.4473e-05 lr: 1.0853e-05 eta: 1 day, 20:00:41 time: 2.3381 data_time: 0.1437 memory: 26533 grad_norm: 1.4433 loss: 1.2730 caption_loss_cls: 2.2725 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7442 detection_loss_cls: 0.0489 detection_loss_reg: 0.4324 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7088 2023/11/04 07:16:08 - mmengine - INFO - Saving checkpoint at 250000 iterations 2023/11/04 07:20:44 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.3954 data_time: 0.0293 memory: 14015 2023/11/04 07:21:38 - mmengine - INFO - Evaluating bbox... 2023/11/04 07:22:38 - mmengine - INFO - bbox_mAP_copypaste: 0.490 0.662 0.535 0.328 0.534 0.633 2023/11/04 07:22:38 - mmengine - INFO - Evaluating segm... 2023/11/04 07:23:54 - mmengine - INFO - segm_mAP_copypaste: 0.317 0.565 0.311 0.178 0.357 0.487 2023/11/04 07:24:56 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3698 data_time: 0.0284 memory: 14015 2023/11/04 07:25:15 - mmengine - INFO - Evaluating bbox... 2023/11/04 07:26:18 - mmengine - INFO - bbox_mAP_copypaste: 0.491 0.664 0.536 0.329 0.535 0.633 2023/11/04 07:28:51 - mmengine - INFO - per class results: 2023/11/04 07:28:51 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 75.82 | 87.95 | | building | 81.66 | 91.54 | | sky | 93.09 | 97.31 | | floor | 80.78 | 88.73 | | tree | 72.02 | 89.95 | | ceiling | 82.29 | 91.98 | | road | 82.56 | 91.82 | | bed | 87.04 | 94.87 | | windowpane | 62.1 | 77.56 | | grass | 70.28 | 85.14 | | cabinet | 57.95 | 70.31 | | sidewalk | 63.31 | 73.08 | | person | 79.67 | 90.85 | | earth | 37.87 | 47.55 | | door | 52.73 | 69.78 | | table | 56.91 | 69.72 | | mountain | 57.92 | 68.81 | | plant | 49.69 | 60.46 | | curtain | 69.99 | 86.61 | | chair | 53.63 | 66.42 | | car | 81.19 | 89.76 | | water | 55.85 | 74.22 | | painting | 70.33 | 85.98 | | sofa | 64.21 | 75.15 | | shelf | 40.18 | 56.99 | | house | 45.46 | 60.52 | | sea | 60.87 | 79.45 | | mirror | 60.4 | 73.39 | | rug | 62.64 | 70.58 | | field | 34.09 | 55.33 | | armchair | 42.2 | 68.46 | | seat | 64.02 | 79.04 | | fence | 43.18 | 57.9 | | desk | 43.76 | 66.28 | | rock | 41.2 | 59.48 | | wardrobe | 52.69 | 65.94 | | lamp | 57.87 | 73.58 | | bathtub | 73.97 | 81.94 | | railing | 35.59 | 50.31 | | cushion | 52.4 | 68.96 | | base | 23.63 | 35.48 | | box | 28.69 | 37.15 | | column | 43.35 | 55.9 | | signboard | 36.48 | 50.32 | | chest of drawers | 34.02 | 56.92 | | counter | 26.09 | 36.4 | | sand | 53.22 | 75.68 | | sink | 68.2 | 77.51 | | skyscraper | 52.0 | 63.43 | | fireplace | 68.19 | 78.57 | | refrigerator | 69.49 | 77.5 | | grandstand | 44.74 | 73.53 | | path | 26.48 | 40.54 | | stairs | 36.12 | 48.32 | | runway | 67.15 | 85.65 | | case | 48.2 | 60.64 | | pool table | 89.18 | 95.36 | | pillow | 49.02 | 59.5 | | screen door | 61.96 | 87.08 | | stairway | 31.52 | 38.45 | | river | 24.36 | 33.08 | | bridge | 59.62 | 85.61 | | bookcase | 33.26 | 59.69 | | blind | 31.08 | 34.3 | | coffee table | 57.1 | 79.5 | | toilet | 82.28 | 88.61 | | flower | 31.08 | 46.34 | | book | 41.89 | 60.68 | | hill | 10.22 | 12.71 | | bench | 48.04 | 61.2 | | countertop | 49.97 | 69.27 | | stove | 69.42 | 82.18 | | palm | 47.01 | 62.35 | | kitchen island | 34.28 | 72.13 | | computer | 70.12 | 84.61 | | swivel chair | 38.11 | 62.9 | | boat | 63.13 | 78.01 | | bar | 47.64 | 59.17 | | arcade machine | 39.26 | 42.04 | | hovel | 42.81 | 50.21 | | bus | 90.85 | 94.81 | | towel | 58.36 | 76.16 | | light | 42.87 | 50.96 | | truck | 42.43 | 74.64 | | tower | 23.98 | 38.92 | | chandelier | 63.39 | 74.72 | | awning | 30.52 | 35.86 | | streetlight | 29.27 | 37.79 | | booth | 38.61 | 44.24 | | television receiver | 65.79 | 80.39 | | airplane | 55.45 | 64.03 | | dirt track | 0.37 | 0.82 | | apparel | 28.59 | 47.4 | | pole | 24.01 | 35.16 | | land | 3.17 | 4.78 | | bannister | 3.08 | 3.93 | | escalator | 23.78 | 27.4 | | ottoman | 46.19 | 60.93 | | bottle | 22.25 | 26.56 | | buffet | 45.43 | 58.55 | | poster | 27.2 | 37.33 | | stage | 5.06 | 7.68 | | van | 25.07 | 29.14 | | ship | 65.05 | 75.96 | | fountain | 21.32 | 22.55 | | conveyer belt | 70.63 | 90.88 | | canopy | 21.92 | 24.94 | | washer | 54.93 | 56.15 | | plaything | 29.9 | 44.91 | | swimming pool | 53.75 | 83.1 | | stool | 45.76 | 57.81 | | barrel | 23.38 | 60.7 | | basket | 29.02 | 40.65 | | waterfall | 52.55 | 59.22 | | tent | 79.16 | 96.11 | | bag | 22.44 | 25.63 | | minibike | 70.82 | 84.84 | | cradle | 70.89 | 88.52 | | oven | 38.26 | 44.86 | | ball | 44.68 | 66.13 | | food | 54.75 | 60.68 | | step | 12.4 | 13.49 | | tank | 49.3 | 56.94 | | trade name | 16.94 | 18.29 | | microwave | 84.17 | 92.97 | | pot | 36.65 | 41.26 | | animal | 63.42 | 67.7 | | bicycle | 56.89 | 80.19 | | lake | 0.0 | 0.0 | | dishwasher | 47.95 | 63.51 | | screen | 53.27 | 76.44 | | blanket | 3.68 | 4.27 | | sculpture | 45.55 | 56.51 | | hood | 51.02 | 55.83 | | sconce | 30.78 | 37.26 | | vase | 38.06 | 51.81 | | traffic light | 33.72 | 45.78 | | tray | 7.52 | 13.94 | | ashcan | 36.9 | 54.96 | | fan | 55.32 | 67.68 | | pier | 47.25 | 52.06 | | crt screen | 4.25 | 15.99 | | plate | 53.3 | 69.73 | | monitor | 11.18 | 11.78 | | bulletin board | 41.03 | 50.42 | | shower | 6.09 | 7.14 | | radiator | 55.93 | 62.14 | | glass | 17.37 | 19.15 | | clock | 22.9 | 28.99 | | flag | 63.7 | 72.34 | +---------------------+-------+-------+ 2023/11/04 07:28:58 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.4910 coco/bbox_mAP_50: 0.6640 coco/bbox_mAP_75: 0.5360 coco/bbox_mAP_s: 0.3290 coco/bbox_mAP_m: 0.5350 coco/bbox_mAP_l: 0.6330 coco/segm_mAP: 0.3170 coco/segm_mAP_50: 0.5650 coco/segm_mAP_75: 0.3110 coco/segm_mAP_s: 0.1780 coco/segm_mAP_m: 0.3570 coco/segm_mAP_l: 0.4870 Bleu_1: 0.7483 Bleu_2: 0.5812 Bleu_3: 0.4420 Bleu_4: 0.3333 METEOR: 0.2746 ROUGE_L: 0.5582 CIDEr: 1.1075 SPICE: 0.2041 aAcc: 82.2900 mIoU: 46.8000 mAcc: 58.9100 visual-grounding/miou: 0.7834 visual-grounding/acc: 0.8526 data_time: 0.0299 time: 1.0436 2023/11/04 07:32:28 - mmengine - INFO - Iter(train) [250100/320000] base_lr: 2.4411e-05 lr: 1.0829e-05 eta: 1 day, 19:56:08 time: 2.3165 data_time: 0.1283 memory: 25855 grad_norm: 1.5877 loss: 1.2747 caption_loss_cls: 2.2721 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7433 detection_loss_cls: 0.0490 detection_loss_reg: 0.4328 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7080 2023/11/04 07:36:12 - mmengine - INFO - Iter(train) [250200/320000] base_lr: 2.4349e-05 lr: 1.0804e-05 eta: 1 day, 19:52:15 time: 2.3204 data_time: 0.1283 memory: 25855 grad_norm: 1.5731 loss: 1.2645 caption_loss_cls: 2.2708 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.7433 detection_loss_cls: 0.0489 detection_loss_reg: 0.4323 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7080 2023/11/04 07:39:27 - mmengine - INFO - Iter(train) [250300/320000] base_lr: 2.4288e-05 lr: 1.0780e-05 eta: 1 day, 19:46:56 time: 2.3178 data_time: 0.1282 memory: 26533 grad_norm: 1.5800 loss: 1.2643 caption_loss_cls: 2.2717 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.7429 detection_loss_cls: 0.0490 detection_loss_reg: 0.4330 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7075 2023/11/04 07:42:24 - mmengine - INFO - Iter(train) [250400/320000] base_lr: 2.4227e-05 lr: 1.0756e-05 eta: 1 day, 19:40:43 time: 2.3052 data_time: 0.1281 memory: 25855 grad_norm: 1.5840 loss: 1.2722 caption_loss_cls: 2.2706 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.7429 detection_loss_cls: 0.0490 detection_loss_reg: 0.4331 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7084 2023/11/04 07:45:54 - mmengine - INFO - Iter(train) [250500/320000] base_lr: 2.4165e-05 lr: 1.0732e-05 eta: 1 day, 19:36:11 time: 2.3004 data_time: 0.1278 memory: 25855 grad_norm: 1.5856 loss: 1.2736 caption_loss_cls: 2.2689 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2828 instance_segmentation_loss_poly: 0.7433 detection_loss_cls: 0.0492 detection_loss_reg: 0.4339 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7087 2023/11/04 07:45:54 - mmengine - INFO - Saving checkpoint at 250500 iterations 2023/11/04 07:51:11 - mmengine - INFO - Iter(train) [250600/320000] base_lr: 2.4104e-05 lr: 1.0708e-05 eta: 1 day, 19:36:50 time: 2.3140 data_time: 0.1293 memory: 26533 grad_norm: 1.5765 loss: 1.2745 caption_loss_cls: 2.2706 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.7423 detection_loss_cls: 0.0492 detection_loss_reg: 0.4340 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7077 2023/11/04 07:54:44 - mmengine - INFO - Iter(train) [250700/320000] base_lr: 2.4043e-05 lr: 1.0684e-05 eta: 1 day, 19:32:28 time: 2.3126 data_time: 0.1292 memory: 26533 grad_norm: 1.5757 loss: 1.2732 caption_loss_cls: 2.2711 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7423 detection_loss_cls: 0.0492 detection_loss_reg: 0.4331 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7072 2023/11/04 07:57:28 - mmengine - INFO - Iter(train) [250800/320000] base_lr: 2.3982e-05 lr: 1.0659e-05 eta: 1 day, 19:25:39 time: 2.2862 data_time: 0.1291 memory: 25855 grad_norm: 1.5853 loss: 1.2788 caption_loss_cls: 2.2689 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.7428 detection_loss_cls: 0.0492 detection_loss_reg: 0.4337 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7072 2023/11/04 08:00:50 - mmengine - INFO - Iter(train) [250900/320000] base_lr: 2.3921e-05 lr: 1.0635e-05 eta: 1 day, 19:20:44 time: 2.2810 data_time: 0.1289 memory: 26533 grad_norm: 1.5909 loss: 1.2780 caption_loss_cls: 2.2674 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.7436 detection_loss_cls: 0.0493 detection_loss_reg: 0.4345 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7051 2023/11/04 08:04:26 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 08:04:26 - mmengine - INFO - Iter(train) [251000/320000] base_lr: 2.3860e-05 lr: 1.0611e-05 eta: 1 day, 19:16:29 time: 2.2881 data_time: 0.1290 memory: 25855 grad_norm: 1.5811 loss: 1.2739 caption_loss_cls: 2.2676 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7441 detection_loss_cls: 0.0491 detection_loss_reg: 0.4341 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7055 2023/11/04 08:04:26 - mmengine - INFO - Saving checkpoint at 251000 iterations 2023/11/04 08:08:27 - mmengine - INFO - Iter(train) [251100/320000] base_lr: 2.3799e-05 lr: 1.0587e-05 eta: 1 day, 19:13:28 time: 2.2765 data_time: 0.1280 memory: 26533 grad_norm: 1.5852 loss: 1.2795 caption_loss_cls: 2.2658 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7448 detection_loss_cls: 0.0490 detection_loss_reg: 0.4329 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7056 2023/11/04 08:11:49 - mmengine - INFO - Iter(train) [251200/320000] base_lr: 2.3738e-05 lr: 1.0563e-05 eta: 1 day, 19:08:34 time: 2.2673 data_time: 0.1278 memory: 26533 grad_norm: 1.5849 loss: 1.2849 caption_loss_cls: 2.2640 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.7442 detection_loss_cls: 0.0491 detection_loss_reg: 0.4327 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7051 2023/11/04 08:15:40 - mmengine - INFO - Iter(train) [251300/320000] base_lr: 2.3677e-05 lr: 1.0540e-05 eta: 1 day, 19:05:02 time: 2.2699 data_time: 0.1276 memory: 26533 grad_norm: 1.5804 loss: 1.2879 caption_loss_cls: 2.2640 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2828 instance_segmentation_loss_poly: 0.7437 detection_loss_cls: 0.0490 detection_loss_reg: 0.4327 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7048 2023/11/04 08:19:39 - mmengine - INFO - Iter(train) [251400/320000] base_lr: 2.3617e-05 lr: 1.0516e-05 eta: 1 day, 19:01:53 time: 2.2715 data_time: 0.1275 memory: 26533 grad_norm: 1.5797 loss: 1.2877 caption_loss_cls: 2.2667 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7429 detection_loss_cls: 0.0490 detection_loss_reg: 0.4329 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7046 2023/11/04 08:23:56 - mmengine - INFO - Iter(train) [251500/320000] base_lr: 2.3556e-05 lr: 1.0492e-05 eta: 1 day, 18:59:35 time: 2.2842 data_time: 0.1277 memory: 26533 grad_norm: 1.5795 loss: 1.2916 caption_loss_cls: 2.2692 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.7425 detection_loss_cls: 0.0490 detection_loss_reg: 0.4321 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7044 2023/11/04 08:23:56 - mmengine - INFO - Saving checkpoint at 251500 iterations 2023/11/04 08:28:48 - mmengine - INFO - Iter(train) [251600/320000] base_lr: 2.3496e-05 lr: 1.0468e-05 eta: 1 day, 18:58:51 time: 2.2907 data_time: 0.1273 memory: 25855 grad_norm: 1.5733 loss: 1.2872 caption_loss_cls: 2.2706 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.7426 detection_loss_cls: 0.0489 detection_loss_reg: 0.4319 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7020 2023/11/04 08:32:28 - mmengine - INFO - Iter(train) [251700/320000] base_lr: 2.3435e-05 lr: 1.0444e-05 eta: 1 day, 18:54:50 time: 2.2970 data_time: 0.1272 memory: 26533 grad_norm: 1.5573 loss: 1.2814 caption_loss_cls: 2.2709 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2821 instance_segmentation_loss_poly: 0.7417 detection_loss_cls: 0.0490 detection_loss_reg: 0.4324 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.7007 2023/11/04 08:36:03 - mmengine - INFO - Iter(train) [251800/320000] base_lr: 2.3375e-05 lr: 1.0420e-05 eta: 1 day, 18:50:31 time: 2.2955 data_time: 0.1269 memory: 26533 grad_norm: 1.5501 loss: 1.2734 caption_loss_cls: 2.2703 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7415 detection_loss_cls: 0.0490 detection_loss_reg: 0.4325 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6982 2023/11/04 08:39:35 - mmengine - INFO - Iter(train) [251900/320000] base_lr: 2.3314e-05 lr: 1.0397e-05 eta: 1 day, 18:46:07 time: 2.2983 data_time: 0.1269 memory: 25855 grad_norm: 1.5527 loss: 1.2705 caption_loss_cls: 2.2689 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2820 instance_segmentation_loss_poly: 0.7417 detection_loss_cls: 0.0490 detection_loss_reg: 0.4328 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6989 2023/11/04 08:43:22 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 08:43:22 - mmengine - INFO - Iter(train) [252000/320000] base_lr: 2.3254e-05 lr: 1.0373e-05 eta: 1 day, 18:42:23 time: 2.3007 data_time: 0.1269 memory: 26533 grad_norm: 1.5607 loss: 1.2685 caption_loss_cls: 2.2703 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2817 instance_segmentation_loss_poly: 0.7407 detection_loss_cls: 0.0489 detection_loss_reg: 0.4326 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6999 2023/11/04 08:43:22 - mmengine - INFO - Saving checkpoint at 252000 iterations 2023/11/04 08:47:33 - mmengine - INFO - Iter(train) [252100/320000] base_lr: 2.3194e-05 lr: 1.0349e-05 eta: 1 day, 18:39:43 time: 2.2953 data_time: 0.1262 memory: 26533 grad_norm: 1.5651 loss: 1.2717 caption_loss_cls: 2.2708 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7406 detection_loss_cls: 0.0490 detection_loss_reg: 0.4329 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6987 2023/11/04 08:50:41 - mmengine - INFO - Iter(train) [252200/320000] base_lr: 2.3134e-05 lr: 1.0326e-05 eta: 1 day, 18:34:16 time: 2.2883 data_time: 0.1261 memory: 25855 grad_norm: 1.5592 loss: 1.2722 caption_loss_cls: 2.2721 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7405 detection_loss_cls: 0.0490 detection_loss_reg: 0.4335 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6992 2023/11/04 08:54:02 - mmengine - INFO - Iter(train) [252300/320000] base_lr: 2.3074e-05 lr: 1.0302e-05 eta: 1 day, 18:29:21 time: 2.2802 data_time: 0.1260 memory: 25855 grad_norm: 1.5553 loss: 1.2781 caption_loss_cls: 2.2703 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2817 instance_segmentation_loss_poly: 0.7405 detection_loss_cls: 0.0490 detection_loss_reg: 0.4331 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6985 2023/11/04 08:57:45 - mmengine - INFO - Iter(train) [252400/320000] base_lr: 2.3014e-05 lr: 1.0278e-05 eta: 1 day, 18:25:27 time: 2.2800 data_time: 0.1261 memory: 25855 grad_norm: 1.5610 loss: 1.2842 caption_loss_cls: 2.2740 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2818 instance_segmentation_loss_poly: 0.7407 detection_loss_cls: 0.0489 detection_loss_reg: 0.4324 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6999 2023/11/04 09:01:43 - mmengine - INFO - Iter(train) [252500/320000] base_lr: 2.2954e-05 lr: 1.0255e-05 eta: 1 day, 18:22:14 time: 2.2858 data_time: 0.1261 memory: 25855 grad_norm: 1.5586 loss: 1.2814 caption_loss_cls: 2.2745 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7404 detection_loss_cls: 0.0488 detection_loss_reg: 0.4324 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6991 2023/11/04 09:01:43 - mmengine - INFO - Saving checkpoint at 252500 iterations 2023/11/04 09:06:28 - mmengine - INFO - Iter(train) [252600/320000] base_lr: 2.2895e-05 lr: 1.0231e-05 eta: 1 day, 18:21:04 time: 2.2817 data_time: 0.1253 memory: 26533 grad_norm: 1.5651 loss: 1.2836 caption_loss_cls: 2.2737 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.7411 detection_loss_cls: 0.0488 detection_loss_reg: 0.4317 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6968 2023/11/04 09:10:16 - mmengine - INFO - Iter(train) [252700/320000] base_lr: 2.2835e-05 lr: 1.0208e-05 eta: 1 day, 18:17:21 time: 2.2788 data_time: 0.1252 memory: 26533 grad_norm: 1.5641 loss: 1.2802 caption_loss_cls: 2.2730 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7407 detection_loss_cls: 0.0486 detection_loss_reg: 0.4310 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6940 2023/11/04 09:14:09 - mmengine - INFO - Iter(train) [252800/320000] base_lr: 2.2775e-05 lr: 1.0184e-05 eta: 1 day, 18:13:53 time: 2.2824 data_time: 0.1253 memory: 25855 grad_norm: 1.5682 loss: 1.2834 caption_loss_cls: 2.2741 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2808 instance_segmentation_loss_poly: 0.7394 detection_loss_cls: 0.0485 detection_loss_reg: 0.4305 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6944 2023/11/04 09:17:52 - mmengine - INFO - Iter(train) [252900/320000] base_lr: 2.2716e-05 lr: 1.0161e-05 eta: 1 day, 18:09:58 time: 2.2824 data_time: 0.1253 memory: 25855 grad_norm: 1.5701 loss: 1.2803 caption_loss_cls: 2.2733 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2806 instance_segmentation_loss_poly: 0.7392 detection_loss_cls: 0.0485 detection_loss_reg: 0.4308 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6931 2023/11/04 09:21:48 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 09:21:48 - mmengine - INFO - Iter(train) [253000/320000] base_lr: 2.2656e-05 lr: 1.0137e-05 eta: 1 day, 18:06:37 time: 2.2808 data_time: 0.1253 memory: 26533 grad_norm: 1.5549 loss: 1.2836 caption_loss_cls: 2.2697 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2808 instance_segmentation_loss_poly: 0.7398 detection_loss_cls: 0.0486 detection_loss_reg: 0.4313 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6949 2023/11/04 09:21:48 - mmengine - INFO - Saving checkpoint at 253000 iterations 2023/11/04 09:26:20 - mmengine - INFO - Iter(train) [253100/320000] base_lr: 2.2597e-05 lr: 1.0114e-05 eta: 1 day, 18:04:49 time: 2.2787 data_time: 0.1249 memory: 25855 grad_norm: 1.5508 loss: 1.2745 caption_loss_cls: 2.2696 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2807 instance_segmentation_loss_poly: 0.7401 detection_loss_cls: 0.0483 detection_loss_reg: 0.4300 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6945 2023/11/04 09:30:12 - mmengine - INFO - Iter(train) [253200/320000] base_lr: 2.2538e-05 lr: 1.0091e-05 eta: 1 day, 18:01:15 time: 2.2834 data_time: 0.1259 memory: 25855 grad_norm: 1.5443 loss: 1.2700 caption_loss_cls: 2.2672 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2809 instance_segmentation_loss_poly: 0.7407 detection_loss_cls: 0.0483 detection_loss_reg: 0.4297 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6938 2023/11/04 09:33:59 - mmengine - INFO - Iter(train) [253300/320000] base_lr: 2.2478e-05 lr: 1.0067e-05 eta: 1 day, 17:57:30 time: 2.2855 data_time: 0.1259 memory: 25855 grad_norm: 1.5358 loss: 1.2646 caption_loss_cls: 2.2662 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2803 instance_segmentation_loss_poly: 0.7391 detection_loss_cls: 0.0482 detection_loss_reg: 0.4292 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6923 2023/11/04 09:37:12 - mmengine - INFO - Iter(train) [253400/320000] base_lr: 2.2419e-05 lr: 1.0044e-05 eta: 1 day, 17:52:20 time: 2.2736 data_time: 0.1258 memory: 25855 grad_norm: 1.5414 loss: 1.2712 caption_loss_cls: 2.2673 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2811 instance_segmentation_loss_poly: 0.7407 detection_loss_cls: 0.0481 detection_loss_reg: 0.4289 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6920 2023/11/04 09:40:44 - mmengine - INFO - Iter(train) [253500/320000] base_lr: 2.2360e-05 lr: 1.0021e-05 eta: 1 day, 17:47:57 time: 2.2729 data_time: 0.1257 memory: 26533 grad_norm: 1.5419 loss: 1.2653 caption_loss_cls: 2.2678 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2808 instance_segmentation_loss_poly: 0.7398 detection_loss_cls: 0.0482 detection_loss_reg: 0.4291 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6921 2023/11/04 09:40:44 - mmengine - INFO - Saving checkpoint at 253500 iterations 2023/11/04 09:45:11 - mmengine - INFO - Iter(train) [253600/320000] base_lr: 2.2301e-05 lr: 9.9974e-06 eta: 1 day, 17:45:52 time: 2.2655 data_time: 0.1256 memory: 25855 grad_norm: 1.5317 loss: 1.2611 caption_loss_cls: 2.2663 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2803 instance_segmentation_loss_poly: 0.7390 detection_loss_cls: 0.0481 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6916 2023/11/04 09:48:36 - mmengine - INFO - Iter(train) [253700/320000] base_lr: 2.2242e-05 lr: 9.9742e-06 eta: 1 day, 17:41:12 time: 2.2594 data_time: 0.1255 memory: 25855 grad_norm: 1.5363 loss: 1.2629 caption_loss_cls: 2.2676 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2803 instance_segmentation_loss_poly: 0.7384 detection_loss_cls: 0.0482 detection_loss_reg: 0.4288 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6904 2023/11/04 09:52:19 - mmengine - INFO - Iter(train) [253800/320000] base_lr: 2.2183e-05 lr: 9.9510e-06 eta: 1 day, 17:37:17 time: 2.2543 data_time: 0.1256 memory: 25855 grad_norm: 1.5397 loss: 1.2630 caption_loss_cls: 2.2644 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2803 instance_segmentation_loss_poly: 0.7390 detection_loss_cls: 0.0482 detection_loss_reg: 0.4291 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6896 2023/11/04 09:55:57 - mmengine - INFO - Iter(train) [253900/320000] base_lr: 2.2125e-05 lr: 9.9278e-06 eta: 1 day, 17:33:11 time: 2.2539 data_time: 0.1256 memory: 25855 grad_norm: 1.5320 loss: 1.2609 caption_loss_cls: 2.2656 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2802 instance_segmentation_loss_poly: 0.7389 detection_loss_cls: 0.0481 detection_loss_reg: 0.4290 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6879 2023/11/04 09:59:21 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 09:59:21 - mmengine - INFO - Iter(train) [254000/320000] base_lr: 2.2066e-05 lr: 9.9047e-06 eta: 1 day, 17:28:29 time: 2.2554 data_time: 0.1255 memory: 26533 grad_norm: 1.5219 loss: 1.2575 caption_loss_cls: 2.2646 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2799 instance_segmentation_loss_poly: 0.7381 detection_loss_cls: 0.0480 detection_loss_reg: 0.4286 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6884 2023/11/04 09:59:21 - mmengine - INFO - Saving checkpoint at 254000 iterations 2023/11/04 10:04:08 - mmengine - INFO - Iter(train) [254100/320000] base_lr: 2.2007e-05 lr: 9.8816e-06 eta: 1 day, 17:27:12 time: 2.2746 data_time: 0.1404 memory: 25855 grad_norm: 1.3776 loss: 1.2588 caption_loss_cls: 2.2676 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2804 instance_segmentation_loss_poly: 0.7392 detection_loss_cls: 0.0480 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6870 2023/11/04 10:07:18 - mmengine - INFO - Iter(train) [254200/320000] base_lr: 2.1949e-05 lr: 9.8586e-06 eta: 1 day, 17:21:56 time: 2.2660 data_time: 0.1404 memory: 26533 grad_norm: 1.3915 loss: 1.2682 caption_loss_cls: 2.2653 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2807 instance_segmentation_loss_poly: 0.7387 detection_loss_cls: 0.0480 detection_loss_reg: 0.4288 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6873 2023/11/04 10:11:20 - mmengine - INFO - Iter(train) [254300/320000] base_lr: 2.1890e-05 lr: 9.8355e-06 eta: 1 day, 17:18:47 time: 2.2775 data_time: 0.1406 memory: 26533 grad_norm: 1.3806 loss: 1.2634 caption_loss_cls: 2.2634 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2804 instance_segmentation_loss_poly: 0.7388 detection_loss_cls: 0.0479 detection_loss_reg: 0.4287 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6861 2023/11/04 10:14:52 - mmengine - INFO - Iter(train) [254400/320000] base_lr: 2.1832e-05 lr: 9.8125e-06 eta: 1 day, 17:14:26 time: 2.2864 data_time: 0.1406 memory: 25855 grad_norm: 1.3725 loss: 1.2557 caption_loss_cls: 2.2609 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2806 instance_segmentation_loss_poly: 0.7395 detection_loss_cls: 0.0479 detection_loss_reg: 0.4280 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6844 2023/11/04 10:18:43 - mmengine - INFO - Iter(train) [254500/320000] base_lr: 2.1773e-05 lr: 9.7896e-06 eta: 1 day, 17:10:51 time: 2.2916 data_time: 0.1432 memory: 25855 grad_norm: 1.3747 loss: 1.2532 caption_loss_cls: 2.2612 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2809 instance_segmentation_loss_poly: 0.7396 detection_loss_cls: 0.0476 detection_loss_reg: 0.4273 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6835 2023/11/04 10:18:43 - mmengine - INFO - Saving checkpoint at 254500 iterations 2023/11/04 10:23:00 - mmengine - INFO - Iter(train) [254600/320000] base_lr: 2.1715e-05 lr: 9.7666e-06 eta: 1 day, 17:08:17 time: 2.2768 data_time: 0.1413 memory: 25855 grad_norm: 1.3813 loss: 1.2538 caption_loss_cls: 2.2592 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2808 instance_segmentation_loss_poly: 0.7394 detection_loss_cls: 0.0475 detection_loss_reg: 0.4269 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6828 2023/11/04 10:26:39 - mmengine - INFO - Iter(train) [254700/320000] base_lr: 2.1657e-05 lr: 9.7437e-06 eta: 1 day, 17:04:14 time: 2.2782 data_time: 0.1413 memory: 26533 grad_norm: 1.3814 loss: 1.2498 caption_loss_cls: 2.2577 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2803 instance_segmentation_loss_poly: 0.7378 detection_loss_cls: 0.0473 detection_loss_reg: 0.4259 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6803 2023/11/04 10:30:06 - mmengine - INFO - Iter(train) [254800/320000] base_lr: 2.1599e-05 lr: 9.7208e-06 eta: 1 day, 16:59:42 time: 2.2891 data_time: 0.1413 memory: 26533 grad_norm: 1.3730 loss: 1.2440 caption_loss_cls: 2.2583 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2803 instance_segmentation_loss_poly: 0.7379 detection_loss_cls: 0.0472 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6787 2023/11/04 10:33:30 - mmengine - INFO - Iter(train) [254900/320000] base_lr: 2.1541e-05 lr: 9.6980e-06 eta: 1 day, 16:55:02 time: 2.2894 data_time: 0.1413 memory: 25855 grad_norm: 1.3721 loss: 1.2450 caption_loss_cls: 2.2600 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2799 instance_segmentation_loss_poly: 0.7369 detection_loss_cls: 0.0473 detection_loss_reg: 0.4251 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6783 2023/11/04 10:37:17 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 10:37:17 - mmengine - INFO - Iter(train) [255000/320000] base_lr: 2.1483e-05 lr: 9.6751e-06 eta: 1 day, 16:51:18 time: 2.2923 data_time: 0.1414 memory: 25855 grad_norm: 1.3849 loss: 1.2457 caption_loss_cls: 2.2574 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2797 instance_segmentation_loss_poly: 0.7365 detection_loss_cls: 0.0473 detection_loss_reg: 0.4253 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6768 2023/11/04 10:37:17 - mmengine - INFO - Saving checkpoint at 255000 iterations 2023/11/04 10:42:13 - mmengine - INFO - Iter(train) [255100/320000] base_lr: 2.1425e-05 lr: 9.6523e-06 eta: 1 day, 16:50:13 time: 2.3060 data_time: 0.1414 memory: 26533 grad_norm: 1.3775 loss: 1.2383 caption_loss_cls: 2.2555 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2799 instance_segmentation_loss_poly: 0.7359 detection_loss_cls: 0.0473 detection_loss_reg: 0.4260 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6768 2023/11/04 10:46:10 - mmengine - INFO - Iter(train) [255200/320000] base_lr: 2.1367e-05 lr: 9.6296e-06 eta: 1 day, 16:46:51 time: 2.3148 data_time: 0.1416 memory: 26533 grad_norm: 1.3832 loss: 1.2427 caption_loss_cls: 2.2550 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2805 instance_segmentation_loss_poly: 0.7371 detection_loss_cls: 0.0473 detection_loss_reg: 0.4258 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6769 2023/11/04 10:49:37 - mmengine - INFO - Iter(train) [255300/320000] base_lr: 2.1310e-05 lr: 9.6068e-06 eta: 1 day, 16:42:19 time: 2.3088 data_time: 0.1417 memory: 26533 grad_norm: 1.3842 loss: 1.2418 caption_loss_cls: 2.2533 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2805 instance_segmentation_loss_poly: 0.7361 detection_loss_cls: 0.0472 detection_loss_reg: 0.4262 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6760 2023/11/04 10:53:25 - mmengine - INFO - Iter(train) [255400/320000] base_lr: 2.1252e-05 lr: 9.5841e-06 eta: 1 day, 16:38:35 time: 2.3060 data_time: 0.1418 memory: 25855 grad_norm: 1.3802 loss: 1.2420 caption_loss_cls: 2.2537 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2804 instance_segmentation_loss_poly: 0.7363 detection_loss_cls: 0.0472 detection_loss_reg: 0.4260 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6761 2023/11/04 10:57:20 - mmengine - INFO - Iter(train) [255500/320000] base_lr: 2.1194e-05 lr: 9.5615e-06 eta: 1 day, 16:35:09 time: 2.3005 data_time: 0.1416 memory: 26533 grad_norm: 1.3824 loss: 1.2402 caption_loss_cls: 2.2521 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2803 instance_segmentation_loss_poly: 0.7357 detection_loss_cls: 0.0470 detection_loss_reg: 0.4251 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6781 2023/11/04 10:57:20 - mmengine - INFO - Saving checkpoint at 255500 iterations 2023/11/04 11:02:11 - mmengine - INFO - Iter(train) [255600/320000] base_lr: 2.1137e-05 lr: 9.5388e-06 eta: 1 day, 16:33:46 time: 2.3003 data_time: 0.1414 memory: 26533 grad_norm: 1.3808 loss: 1.2399 caption_loss_cls: 2.2523 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2803 instance_segmentation_loss_poly: 0.7350 detection_loss_cls: 0.0470 detection_loss_reg: 0.4256 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6773 2023/11/04 11:05:40 - mmengine - INFO - Iter(train) [255700/320000] base_lr: 2.1080e-05 lr: 9.5162e-06 eta: 1 day, 16:29:21 time: 2.2975 data_time: 0.1413 memory: 25855 grad_norm: 1.3868 loss: 1.2441 caption_loss_cls: 2.2495 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2803 instance_segmentation_loss_poly: 0.7353 detection_loss_cls: 0.0471 detection_loss_reg: 0.4259 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6769 2023/11/04 11:09:22 - mmengine - INFO - Iter(train) [255800/320000] base_lr: 2.1022e-05 lr: 9.4936e-06 eta: 1 day, 16:25:24 time: 2.2994 data_time: 0.1414 memory: 26533 grad_norm: 1.3934 loss: 1.2479 caption_loss_cls: 2.2487 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2805 instance_segmentation_loss_poly: 0.7360 detection_loss_cls: 0.0472 detection_loss_reg: 0.4261 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6766 2023/11/04 11:13:31 - mmengine - INFO - Iter(train) [255900/320000] base_lr: 2.0965e-05 lr: 9.4711e-06 eta: 1 day, 16:22:26 time: 2.3085 data_time: 0.1416 memory: 26533 grad_norm: 1.3867 loss: 1.2474 caption_loss_cls: 2.2486 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2809 instance_segmentation_loss_poly: 0.7362 detection_loss_cls: 0.0472 detection_loss_reg: 0.4261 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6787 2023/11/04 11:17:32 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 11:17:32 - mmengine - INFO - Iter(train) [256000/320000] base_lr: 2.0908e-05 lr: 9.4486e-06 eta: 1 day, 16:19:10 time: 2.3119 data_time: 0.1431 memory: 25855 grad_norm: 1.3757 loss: 1.2510 caption_loss_cls: 2.2509 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2807 instance_segmentation_loss_poly: 0.7361 detection_loss_cls: 0.0471 detection_loss_reg: 0.4252 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6787 2023/11/04 11:17:32 - mmengine - INFO - Saving checkpoint at 256000 iterations 2023/11/04 11:21:46 - mmengine - INFO - Iter(train) [256100/320000] base_lr: 2.0851e-05 lr: 9.4261e-06 eta: 1 day, 16:16:22 time: 2.3127 data_time: 0.1426 memory: 26533 grad_norm: 1.3819 loss: 1.2600 caption_loss_cls: 2.2543 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2811 instance_segmentation_loss_poly: 0.7366 detection_loss_cls: 0.0472 detection_loss_reg: 0.4256 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6791 2023/11/04 11:25:25 - mmengine - INFO - Iter(train) [256200/320000] base_lr: 2.0794e-05 lr: 9.4036e-06 eta: 1 day, 16:12:18 time: 2.3203 data_time: 0.1428 memory: 25855 grad_norm: 1.3789 loss: 1.2554 caption_loss_cls: 2.2510 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2811 instance_segmentation_loss_poly: 0.7371 detection_loss_cls: 0.0469 detection_loss_reg: 0.4241 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6790 2023/11/04 11:29:07 - mmengine - INFO - Iter(train) [256300/320000] base_lr: 2.0737e-05 lr: 9.3812e-06 eta: 1 day, 16:08:21 time: 2.3258 data_time: 0.1429 memory: 25855 grad_norm: 1.3816 loss: 1.2586 caption_loss_cls: 2.2524 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.7376 detection_loss_cls: 0.0471 detection_loss_reg: 0.4247 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6797 2023/11/04 11:32:42 - mmengine - INFO - Iter(train) [256400/320000] base_lr: 2.0680e-05 lr: 9.3588e-06 eta: 1 day, 16:04:08 time: 2.3238 data_time: 0.1429 memory: 26533 grad_norm: 1.3764 loss: 1.2525 caption_loss_cls: 2.2506 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7386 detection_loss_cls: 0.0470 detection_loss_reg: 0.4243 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6791 2023/11/04 11:36:12 - mmengine - INFO - Iter(train) [256500/320000] base_lr: 2.0623e-05 lr: 9.3364e-06 eta: 1 day, 15:59:45 time: 2.3167 data_time: 0.1428 memory: 26533 grad_norm: 1.3898 loss: 1.2582 caption_loss_cls: 2.2480 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.7386 detection_loss_cls: 0.0470 detection_loss_reg: 0.4240 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6787 2023/11/04 11:36:12 - mmengine - INFO - Saving checkpoint at 256500 iterations 2023/11/04 11:40:39 - mmengine - INFO - Iter(train) [256600/320000] base_lr: 2.0567e-05 lr: 9.3141e-06 eta: 1 day, 15:57:25 time: 2.3122 data_time: 0.1432 memory: 25855 grad_norm: 1.3939 loss: 1.2618 caption_loss_cls: 2.2484 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2827 instance_segmentation_loss_poly: 0.7393 detection_loss_cls: 0.0471 detection_loss_reg: 0.4241 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6776 2023/11/04 11:44:24 - mmengine - INFO - Iter(train) [256700/320000] base_lr: 2.0510e-05 lr: 9.2918e-06 eta: 1 day, 15:53:34 time: 2.3115 data_time: 0.1432 memory: 26533 grad_norm: 1.3889 loss: 1.2616 caption_loss_cls: 2.2484 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2828 instance_segmentation_loss_poly: 0.7392 detection_loss_cls: 0.0473 detection_loss_reg: 0.4248 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6765 2023/11/04 11:47:53 - mmengine - INFO - Iter(train) [256800/320000] base_lr: 2.0453e-05 lr: 9.2695e-06 eta: 1 day, 15:49:09 time: 2.3055 data_time: 0.1431 memory: 26533 grad_norm: 1.3990 loss: 1.2615 caption_loss_cls: 2.2494 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7394 detection_loss_cls: 0.0473 detection_loss_reg: 0.4246 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6753 2023/11/04 11:51:01 - mmengine - INFO - Iter(train) [256900/320000] base_lr: 2.0397e-05 lr: 9.2472e-06 eta: 1 day, 15:43:59 time: 2.2967 data_time: 0.1430 memory: 25855 grad_norm: 1.4038 loss: 1.2668 caption_loss_cls: 2.2495 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.7392 detection_loss_cls: 0.0473 detection_loss_reg: 0.4246 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6744 2023/11/04 11:54:52 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 11:54:52 - mmengine - INFO - Iter(train) [257000/320000] base_lr: 2.0340e-05 lr: 9.2250e-06 eta: 1 day, 15:40:22 time: 2.2954 data_time: 0.1431 memory: 26533 grad_norm: 1.4153 loss: 1.2682 caption_loss_cls: 2.2477 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7391 detection_loss_cls: 0.0473 detection_loss_reg: 0.4245 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6729 2023/11/04 11:54:52 - mmengine - INFO - Saving checkpoint at 257000 iterations 2023/11/04 11:59:13 - mmengine - INFO - Iter(train) [257100/320000] base_lr: 2.0284e-05 lr: 9.2028e-06 eta: 1 day, 15:37:48 time: 2.2927 data_time: 0.1431 memory: 26533 grad_norm: 1.4213 loss: 1.2722 caption_loss_cls: 2.2437 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7389 detection_loss_cls: 0.0474 detection_loss_reg: 0.4249 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6713 2023/11/04 12:03:10 - mmengine - INFO - Iter(train) [257200/320000] base_lr: 2.0228e-05 lr: 9.1807e-06 eta: 1 day, 15:34:21 time: 2.2939 data_time: 0.1422 memory: 26533 grad_norm: 1.4241 loss: 1.2782 caption_loss_cls: 2.2446 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2837 instance_segmentation_loss_poly: 0.7413 detection_loss_cls: 0.0477 detection_loss_reg: 0.4253 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6715 2023/11/04 12:06:57 - mmengine - INFO - Iter(train) [257300/320000] base_lr: 2.0172e-05 lr: 9.1586e-06 eta: 1 day, 15:30:35 time: 2.2940 data_time: 0.1422 memory: 26533 grad_norm: 1.4219 loss: 1.2812 caption_loss_cls: 2.2470 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7409 detection_loss_cls: 0.0478 detection_loss_reg: 0.4256 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6726 2023/11/04 12:10:30 - mmengine - INFO - Iter(train) [257400/320000] base_lr: 2.0116e-05 lr: 9.1365e-06 eta: 1 day, 15:26:19 time: 2.2989 data_time: 0.1422 memory: 26533 grad_norm: 1.4166 loss: 1.2745 caption_loss_cls: 2.2435 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7403 detection_loss_cls: 0.0478 detection_loss_reg: 0.4258 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6725 2023/11/04 12:13:28 - mmengine - INFO - Iter(train) [257500/320000] base_lr: 2.0060e-05 lr: 9.1144e-06 eta: 1 day, 15:20:52 time: 2.2904 data_time: 0.1422 memory: 25855 grad_norm: 1.4357 loss: 1.2836 caption_loss_cls: 2.2444 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.7405 detection_loss_cls: 0.0479 detection_loss_reg: 0.4269 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6714 2023/11/04 12:13:28 - mmengine - INFO - Saving checkpoint at 257500 iterations 2023/11/04 12:18:31 - mmengine - INFO - Iter(train) [257600/320000] base_lr: 2.0004e-05 lr: 9.0924e-06 eta: 1 day, 15:19:41 time: 2.2995 data_time: 0.1422 memory: 26533 grad_norm: 1.4442 loss: 1.2847 caption_loss_cls: 2.2449 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7396 detection_loss_cls: 0.0478 detection_loss_reg: 0.4268 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6712 2023/11/04 12:21:27 - mmengine - INFO - Iter(train) [257700/320000] base_lr: 1.9948e-05 lr: 9.0704e-06 eta: 1 day, 15:14:10 time: 2.2922 data_time: 0.1422 memory: 25855 grad_norm: 1.4486 loss: 1.2893 caption_loss_cls: 2.2462 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.7393 detection_loss_cls: 0.0478 detection_loss_reg: 0.4269 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6697 2023/11/04 12:25:11 - mmengine - INFO - Iter(train) [257800/320000] base_lr: 1.9892e-05 lr: 9.0484e-06 eta: 1 day, 15:10:18 time: 2.2925 data_time: 0.1421 memory: 25855 grad_norm: 1.4469 loss: 1.2915 caption_loss_cls: 2.2450 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2828 instance_segmentation_loss_poly: 0.7391 detection_loss_cls: 0.0476 detection_loss_reg: 0.4261 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6714 2023/11/04 12:29:03 - mmengine - INFO - Iter(train) [257900/320000] base_lr: 1.9836e-05 lr: 9.0265e-06 eta: 1 day, 15:06:43 time: 2.2960 data_time: 0.1420 memory: 25855 grad_norm: 1.4396 loss: 1.2893 caption_loss_cls: 2.2452 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7383 detection_loss_cls: 0.0476 detection_loss_reg: 0.4263 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6716 2023/11/04 12:32:31 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 12:32:31 - mmengine - INFO - Iter(train) [258000/320000] base_lr: 1.9781e-05 lr: 9.0046e-06 eta: 1 day, 15:02:19 time: 2.2972 data_time: 0.1421 memory: 25855 grad_norm: 1.4442 loss: 1.2935 caption_loss_cls: 2.2473 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.7396 detection_loss_cls: 0.0476 detection_loss_reg: 0.4259 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6721 2023/11/04 12:32:31 - mmengine - INFO - Saving checkpoint at 258000 iterations 2023/11/04 12:36:58 - mmengine - INFO - Iter(train) [258100/320000] base_lr: 1.9725e-05 lr: 8.9827e-06 eta: 1 day, 14:59:53 time: 2.2920 data_time: 0.1416 memory: 26533 grad_norm: 1.4457 loss: 1.2896 caption_loss_cls: 2.2493 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.7393 detection_loss_cls: 0.0475 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6710 2023/11/04 12:40:27 - mmengine - INFO - Iter(train) [258200/320000] base_lr: 1.9670e-05 lr: 8.9608e-06 eta: 1 day, 14:55:30 time: 2.2968 data_time: 0.1417 memory: 26533 grad_norm: 1.4385 loss: 1.2864 caption_loss_cls: 2.2514 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7407 detection_loss_cls: 0.0475 detection_loss_reg: 0.4252 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6709 2023/11/04 12:44:01 - mmengine - INFO - Iter(train) [258300/320000] base_lr: 1.9614e-05 lr: 8.9390e-06 eta: 1 day, 14:51:17 time: 2.2897 data_time: 0.1416 memory: 26533 grad_norm: 1.4502 loss: 1.2939 caption_loss_cls: 2.2565 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7398 detection_loss_cls: 0.0474 detection_loss_reg: 0.4245 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6708 2023/11/04 12:47:26 - mmengine - INFO - Iter(train) [258400/320000] base_lr: 1.9559e-05 lr: 8.9172e-06 eta: 1 day, 14:46:48 time: 2.2881 data_time: 0.1417 memory: 26533 grad_norm: 1.4536 loss: 1.2989 caption_loss_cls: 2.2568 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7400 detection_loss_cls: 0.0474 detection_loss_reg: 0.4249 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6710 2023/11/04 12:50:57 - mmengine - INFO - Iter(train) [258500/320000] base_lr: 1.9504e-05 lr: 8.8955e-06 eta: 1 day, 14:42:31 time: 2.2831 data_time: 0.1392 memory: 26533 grad_norm: 1.4541 loss: 1.3005 caption_loss_cls: 2.2554 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2837 instance_segmentation_loss_poly: 0.7405 detection_loss_cls: 0.0474 detection_loss_reg: 0.4245 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6696 2023/11/04 12:50:57 - mmengine - INFO - Saving checkpoint at 258500 iterations 2023/11/04 12:56:19 - mmengine - INFO - Iter(train) [258600/320000] base_lr: 1.9449e-05 lr: 8.8738e-06 eta: 1 day, 14:41:49 time: 2.2992 data_time: 0.1408 memory: 25855 grad_norm: 1.4578 loss: 1.3027 caption_loss_cls: 2.2534 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.7406 detection_loss_cls: 0.0475 detection_loss_reg: 0.4248 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6689 2023/11/04 12:59:48 - mmengine - INFO - Iter(train) [258700/320000] base_lr: 1.9394e-05 lr: 8.8521e-06 eta: 1 day, 14:37:28 time: 2.2967 data_time: 0.1409 memory: 26533 grad_norm: 1.4614 loss: 1.3088 caption_loss_cls: 2.2534 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7412 detection_loss_cls: 0.0475 detection_loss_reg: 0.4251 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6673 2023/11/04 13:03:23 - mmengine - INFO - Iter(train) [258800/320000] base_lr: 1.9339e-05 lr: 8.8304e-06 eta: 1 day, 14:33:18 time: 2.2986 data_time: 0.1409 memory: 25855 grad_norm: 1.4666 loss: 1.3076 caption_loss_cls: 2.2527 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.7401 detection_loss_cls: 0.0476 detection_loss_reg: 0.4252 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6641 2023/11/04 13:06:48 - mmengine - INFO - Iter(train) [258900/320000] base_lr: 1.9284e-05 lr: 8.8088e-06 eta: 1 day, 14:28:49 time: 2.2990 data_time: 0.1409 memory: 26533 grad_norm: 1.4720 loss: 1.3099 caption_loss_cls: 2.2508 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2833 instance_segmentation_loss_poly: 0.7400 detection_loss_cls: 0.0475 detection_loss_reg: 0.4253 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6628 2023/11/04 13:10:48 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 13:10:48 - mmengine - INFO - Iter(train) [259000/320000] base_lr: 1.9229e-05 lr: 8.7872e-06 eta: 1 day, 14:25:28 time: 2.3023 data_time: 0.1409 memory: 26533 grad_norm: 1.4572 loss: 1.3087 caption_loss_cls: 2.2511 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.7405 detection_loss_cls: 0.0476 detection_loss_reg: 0.4263 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6619 2023/11/04 13:10:48 - mmengine - INFO - Saving checkpoint at 259000 iterations 2023/11/04 13:15:17 - mmengine - INFO - Iter(train) [259100/320000] base_lr: 1.9174e-05 lr: 8.7656e-06 eta: 1 day, 14:23:01 time: 2.2954 data_time: 0.1416 memory: 25855 grad_norm: 1.4595 loss: 1.3169 caption_loss_cls: 2.2514 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7412 detection_loss_cls: 0.0476 detection_loss_reg: 0.4260 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6629 2023/11/04 13:18:32 - mmengine - INFO - Iter(train) [259200/320000] base_lr: 1.9120e-05 lr: 8.7441e-06 eta: 1 day, 14:18:15 time: 2.2850 data_time: 0.1414 memory: 25855 grad_norm: 1.4620 loss: 1.3154 caption_loss_cls: 2.2493 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7417 detection_loss_cls: 0.0477 detection_loss_reg: 0.4258 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6626 2023/11/04 13:22:22 - mmengine - INFO - Iter(train) [259300/320000] base_lr: 1.9065e-05 lr: 8.7226e-06 eta: 1 day, 14:14:33 time: 2.2906 data_time: 0.1414 memory: 25855 grad_norm: 1.4579 loss: 1.3139 caption_loss_cls: 2.2512 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7427 detection_loss_cls: 0.0476 detection_loss_reg: 0.4252 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6642 2023/11/04 13:26:10 - mmengine - INFO - Iter(train) [259400/320000] base_lr: 1.9010e-05 lr: 8.7011e-06 eta: 1 day, 14:10:49 time: 2.2908 data_time: 0.1422 memory: 26533 grad_norm: 1.4645 loss: 1.3177 caption_loss_cls: 2.2512 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.7411 detection_loss_cls: 0.0477 detection_loss_reg: 0.4258 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6634 2023/11/04 13:29:37 - mmengine - INFO - Iter(train) [259500/320000] base_lr: 1.8956e-05 lr: 8.6796e-06 eta: 1 day, 14:06:25 time: 2.2837 data_time: 0.1421 memory: 25855 grad_norm: 1.4611 loss: 1.3175 caption_loss_cls: 2.2533 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.7407 detection_loss_cls: 0.0477 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6628 2023/11/04 13:29:37 - mmengine - INFO - Saving checkpoint at 259500 iterations 2023/11/04 13:33:56 - mmengine - INFO - Iter(train) [259600/320000] base_lr: 1.8902e-05 lr: 8.6582e-06 eta: 1 day, 14:03:37 time: 2.2757 data_time: 0.1416 memory: 26533 grad_norm: 1.4715 loss: 1.3218 caption_loss_cls: 2.2526 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7417 detection_loss_cls: 0.0477 detection_loss_reg: 0.4254 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6642 2023/11/04 13:37:40 - mmengine - INFO - Iter(train) [259700/320000] base_lr: 1.8847e-05 lr: 8.6369e-06 eta: 1 day, 13:59:46 time: 2.2794 data_time: 0.1418 memory: 26533 grad_norm: 1.4785 loss: 1.3270 caption_loss_cls: 2.2535 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.7410 detection_loss_cls: 0.0476 detection_loss_reg: 0.4256 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6662 2023/11/04 13:41:43 - mmengine - INFO - Iter(train) [259800/320000] base_lr: 1.8793e-05 lr: 8.6155e-06 eta: 1 day, 13:56:29 time: 2.2848 data_time: 0.1418 memory: 25855 grad_norm: 1.4665 loss: 1.3207 caption_loss_cls: 2.2511 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7404 detection_loss_cls: 0.0476 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6675 2023/11/04 13:45:16 - mmengine - INFO - Iter(train) [259900/320000] base_lr: 1.8739e-05 lr: 8.5942e-06 eta: 1 day, 13:52:17 time: 2.2758 data_time: 0.1417 memory: 25855 grad_norm: 1.4731 loss: 1.3223 caption_loss_cls: 2.2508 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.7402 detection_loss_cls: 0.0476 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6676 2023/11/04 13:48:47 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 13:48:47 - mmengine - INFO - Iter(train) [260000/320000] base_lr: 1.8685e-05 lr: 8.5729e-06 eta: 1 day, 13:48:00 time: 2.2682 data_time: 0.1401 memory: 25855 grad_norm: 1.4731 loss: 1.3182 caption_loss_cls: 2.2514 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7402 detection_loss_cls: 0.0475 detection_loss_reg: 0.4249 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6649 2023/11/04 13:48:47 - mmengine - INFO - Saving checkpoint at 260000 iterations 2023/11/04 13:53:29 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:11 time: 1.3956 data_time: 0.0289 memory: 14015 2023/11/04 13:54:18 - mmengine - INFO - Evaluating bbox... 2023/11/04 13:55:23 - mmengine - INFO - bbox_mAP_copypaste: 0.494 0.666 0.541 0.324 0.540 0.641 2023/11/04 13:55:23 - mmengine - INFO - Evaluating segm... 2023/11/04 13:56:36 - mmengine - INFO - segm_mAP_copypaste: 0.325 0.571 0.322 0.177 0.366 0.500 2023/11/04 13:57:38 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3723 data_time: 0.0282 memory: 14015 2023/11/04 13:57:57 - mmengine - INFO - Evaluating bbox... 2023/11/04 13:59:03 - mmengine - INFO - bbox_mAP_copypaste: 0.495 0.667 0.543 0.326 0.541 0.641 2023/11/04 14:03:37 - mmengine - INFO - per class results: 2023/11/04 14:03:37 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.34 | 88.63 | | building | 81.16 | 92.14 | | sky | 93.42 | 97.21 | | floor | 81.12 | 88.35 | | tree | 72.59 | 88.02 | | ceiling | 81.94 | 90.82 | | road | 83.18 | 88.17 | | bed | 87.49 | 93.67 | | windowpane | 61.92 | 75.74 | | grass | 71.38 | 87.81 | | cabinet | 59.73 | 72.93 | | sidewalk | 65.17 | 80.13 | | person | 79.86 | 90.27 | | earth | 39.03 | 51.2 | | door | 50.28 | 66.95 | | table | 58.0 | 73.38 | | mountain | 57.73 | 77.03 | | plant | 50.99 | 64.25 | | curtain | 69.6 | 86.79 | | chair | 54.83 | 70.22 | | car | 79.88 | 89.81 | | water | 57.69 | 76.73 | | painting | 70.4 | 85.33 | | sofa | 66.0 | 84.07 | | shelf | 41.69 | 58.92 | | house | 43.05 | 59.81 | | sea | 62.67 | 80.93 | | mirror | 61.24 | 69.45 | | rug | 69.89 | 83.08 | | field | 29.72 | 41.56 | | armchair | 40.81 | 60.54 | | seat | 61.78 | 81.55 | | fence | 43.39 | 58.96 | | desk | 44.69 | 62.0 | | rock | 39.93 | 51.52 | | wardrobe | 53.73 | 68.66 | | lamp | 58.9 | 75.07 | | bathtub | 76.07 | 81.37 | | railing | 34.43 | 42.84 | | cushion | 47.68 | 55.07 | | base | 28.45 | 43.78 | | box | 27.98 | 40.86 | | column | 45.28 | 55.54 | | signboard | 36.97 | 50.09 | | chest of drawers | 36.19 | 61.43 | | counter | 31.47 | 39.68 | | sand | 48.16 | 71.82 | | sink | 70.88 | 80.24 | | skyscraper | 38.87 | 44.78 | | fireplace | 68.77 | 83.28 | | refrigerator | 74.01 | 81.67 | | grandstand | 39.78 | 69.57 | | path | 25.11 | 32.06 | | stairs | 32.89 | 49.74 | | runway | 72.78 | 92.67 | | case | 46.05 | 53.21 | | pool table | 89.24 | 95.01 | | pillow | 53.92 | 73.92 | | screen door | 57.26 | 64.45 | | stairway | 27.86 | 35.67 | | river | 24.32 | 31.37 | | bridge | 63.78 | 85.74 | | bookcase | 33.29 | 53.03 | | blind | 32.63 | 36.61 | | coffee table | 59.72 | 81.57 | | toilet | 81.17 | 90.93 | | flower | 30.59 | 42.3 | | book | 45.61 | 66.94 | | hill | 7.06 | 8.04 | | bench | 45.16 | 60.83 | | countertop | 53.52 | 69.48 | | stove | 70.1 | 79.98 | | palm | 47.88 | 61.59 | | kitchen island | 32.6 | 60.68 | | computer | 70.69 | 86.92 | | swivel chair | 40.28 | 56.55 | | boat | 61.27 | 83.86 | | bar | 34.88 | 40.81 | | arcade machine | 49.46 | 53.02 | | hovel | 29.0 | 31.36 | | bus | 91.38 | 94.99 | | towel | 55.13 | 76.03 | | light | 43.21 | 50.92 | | truck | 39.38 | 61.01 | | tower | 29.79 | 48.68 | | chandelier | 65.1 | 83.29 | | awning | 30.51 | 36.64 | | streetlight | 29.8 | 38.05 | | booth | 43.67 | 49.18 | | television receiver | 68.3 | 83.99 | | airplane | 54.8 | 67.38 | | dirt track | 4.48 | 19.49 | | apparel | 26.44 | 38.98 | | pole | 24.66 | 35.44 | | land | 0.0 | 0.0 | | bannister | 3.91 | 5.27 | | escalator | 37.2 | 44.69 | | ottoman | 42.97 | 61.5 | | bottle | 23.53 | 29.91 | | buffet | 43.07 | 48.48 | | poster | 24.4 | 31.81 | | stage | 8.2 | 15.63 | | van | 26.37 | 32.63 | | ship | 75.18 | 83.95 | | fountain | 8.3 | 8.41 | | conveyer belt | 76.05 | 92.05 | | canopy | 20.03 | 25.51 | | washer | 58.74 | 61.43 | | plaything | 31.15 | 42.94 | | swimming pool | 63.29 | 75.95 | | stool | 44.85 | 63.4 | | barrel | 23.61 | 60.63 | | basket | 28.97 | 43.48 | | waterfall | 50.87 | 57.77 | | tent | 71.96 | 95.84 | | bag | 15.41 | 17.39 | | minibike | 69.5 | 87.03 | | cradle | 72.21 | 90.34 | | oven | 29.08 | 33.35 | | ball | 46.78 | 65.74 | | food | 53.11 | 61.65 | | step | 11.69 | 13.57 | | tank | 45.07 | 52.18 | | trade name | 12.81 | 13.52 | | microwave | 83.06 | 91.07 | | pot | 36.27 | 40.56 | | animal | 59.98 | 62.87 | | bicycle | 54.43 | 66.25 | | lake | 0.0 | 0.0 | | dishwasher | 53.57 | 71.39 | | screen | 55.46 | 82.5 | | blanket | 4.52 | 4.85 | | sculpture | 45.56 | 60.22 | | hood | 50.06 | 54.07 | | sconce | 28.0 | 32.16 | | vase | 38.13 | 51.39 | | traffic light | 33.13 | 46.34 | | tray | 7.48 | 11.96 | | ashcan | 38.44 | 49.75 | | fan | 56.57 | 75.54 | | pier | 46.47 | 53.95 | | crt screen | 4.49 | 9.83 | | plate | 51.58 | 69.9 | | monitor | 12.23 | 13.79 | | bulletin board | 31.7 | 34.93 | | shower | 2.18 | 3.76 | | radiator | 53.35 | 59.23 | | glass | 16.57 | 18.1 | | clock | 21.24 | 28.06 | | flag | 64.3 | 71.0 | +---------------------+-------+-------+ 2023/11/04 14:03:47 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.4950 coco/bbox_mAP_50: 0.6670 coco/bbox_mAP_75: 0.5430 coco/bbox_mAP_s: 0.3260 coco/bbox_mAP_m: 0.5410 coco/bbox_mAP_l: 0.6410 coco/segm_mAP: 0.3250 coco/segm_mAP_50: 0.5710 coco/segm_mAP_75: 0.3220 coco/segm_mAP_s: 0.1770 coco/segm_mAP_m: 0.3660 coco/segm_mAP_l: 0.5000 Bleu_1: 0.7567 Bleu_2: 0.5865 Bleu_3: 0.4453 Bleu_4: 0.3358 METEOR: 0.2737 ROUGE_L: 0.5594 CIDEr: 1.1133 SPICE: 0.2029 aAcc: 82.4800 mIoU: 46.6500 mAcc: 58.3700 visual-grounding/miou: 0.7860 visual-grounding/acc: 0.8548 data_time: 0.0266 time: 1.0453 2023/11/04 14:07:14 - mmengine - INFO - Iter(train) [260100/320000] base_lr: 1.8631e-05 lr: 8.5516e-06 eta: 1 day, 13:43:44 time: 2.2575 data_time: 0.1266 memory: 25855 grad_norm: 1.4702 loss: 1.3131 caption_loss_cls: 2.2538 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7406 detection_loss_cls: 0.0475 detection_loss_reg: 0.4245 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6630 2023/11/04 14:10:53 - mmengine - INFO - Iter(train) [260200/320000] base_lr: 1.8577e-05 lr: 8.5304e-06 eta: 1 day, 13:39:43 time: 2.2575 data_time: 0.1266 memory: 26533 grad_norm: 1.4777 loss: 1.3174 caption_loss_cls: 2.2536 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7405 detection_loss_cls: 0.0473 detection_loss_reg: 0.4242 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6611 2023/11/04 14:14:17 - mmengine - INFO - Iter(train) [260300/320000] base_lr: 1.8523e-05 lr: 8.5092e-06 eta: 1 day, 13:35:17 time: 2.2532 data_time: 0.1266 memory: 26533 grad_norm: 1.4747 loss: 1.3141 caption_loss_cls: 2.2509 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7390 detection_loss_cls: 0.0473 detection_loss_reg: 0.4239 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6627 2023/11/04 14:17:41 - mmengine - INFO - Iter(train) [260400/320000] base_lr: 1.8470e-05 lr: 8.4881e-06 eta: 1 day, 13:30:49 time: 2.2503 data_time: 0.1264 memory: 26533 grad_norm: 1.4828 loss: 1.3205 caption_loss_cls: 2.2507 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2833 instance_segmentation_loss_poly: 0.7394 detection_loss_cls: 0.0473 detection_loss_reg: 0.4227 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6648 2023/11/04 14:21:18 - mmengine - INFO - Iter(train) [260500/320000] base_lr: 1.8416e-05 lr: 8.4669e-06 eta: 1 day, 13:26:45 time: 2.2520 data_time: 0.1264 memory: 26533 grad_norm: 1.4770 loss: 1.3163 caption_loss_cls: 2.2514 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.7389 detection_loss_cls: 0.0473 detection_loss_reg: 0.4226 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6614 2023/11/04 14:21:18 - mmengine - INFO - Saving checkpoint at 260500 iterations 2023/11/04 14:25:28 - mmengine - INFO - Iter(train) [260600/320000] base_lr: 1.8362e-05 lr: 8.4458e-06 eta: 1 day, 13:23:41 time: 2.2478 data_time: 0.1261 memory: 25855 grad_norm: 1.4709 loss: 1.3158 caption_loss_cls: 2.2473 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2833 instance_segmentation_loss_poly: 0.7388 detection_loss_cls: 0.0474 detection_loss_reg: 0.4237 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6622 2023/11/04 14:29:03 - mmengine - INFO - Iter(train) [260700/320000] base_lr: 1.8309e-05 lr: 8.4248e-06 eta: 1 day, 13:19:33 time: 2.2452 data_time: 0.1260 memory: 26533 grad_norm: 1.4768 loss: 1.3186 caption_loss_cls: 2.2458 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2829 instance_segmentation_loss_poly: 0.7378 detection_loss_cls: 0.0474 detection_loss_reg: 0.4234 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6645 2023/11/04 14:32:27 - mmengine - INFO - Iter(train) [260800/320000] base_lr: 1.8256e-05 lr: 8.4037e-06 eta: 1 day, 13:15:07 time: 2.2439 data_time: 0.1261 memory: 25855 grad_norm: 1.4691 loss: 1.3192 caption_loss_cls: 2.2440 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.7382 detection_loss_cls: 0.0476 detection_loss_reg: 0.4244 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6627 2023/11/04 14:36:35 - mmengine - INFO - Iter(train) [260900/320000] base_lr: 1.8202e-05 lr: 8.3827e-06 eta: 1 day, 13:11:57 time: 2.2590 data_time: 0.1263 memory: 26533 grad_norm: 1.4646 loss: 1.3156 caption_loss_cls: 2.2435 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2833 instance_segmentation_loss_poly: 0.7385 detection_loss_cls: 0.0475 detection_loss_reg: 0.4241 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6621 2023/11/04 14:39:53 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 14:39:53 - mmengine - INFO - Iter(train) [261000/320000] base_lr: 1.8149e-05 lr: 8.3617e-06 eta: 1 day, 13:07:22 time: 2.2509 data_time: 0.1262 memory: 25855 grad_norm: 1.4610 loss: 1.3228 caption_loss_cls: 2.2480 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.7385 detection_loss_cls: 0.0476 detection_loss_reg: 0.4247 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6625 2023/11/04 14:39:53 - mmengine - INFO - Saving checkpoint at 261000 iterations 2023/11/04 14:44:18 - mmengine - INFO - Iter(train) [261100/320000] base_lr: 1.8096e-05 lr: 8.3408e-06 eta: 1 day, 13:04:42 time: 2.2518 data_time: 0.1265 memory: 26533 grad_norm: 1.4666 loss: 1.3226 caption_loss_cls: 2.2463 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.7385 detection_loss_cls: 0.0476 detection_loss_reg: 0.4249 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6598 2023/11/04 14:47:33 - mmengine - INFO - Iter(train) [261200/320000] base_lr: 1.8043e-05 lr: 8.3199e-06 eta: 1 day, 13:00:01 time: 2.2414 data_time: 0.1263 memory: 25855 grad_norm: 1.4769 loss: 1.3187 caption_loss_cls: 2.2460 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.7384 detection_loss_cls: 0.0478 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0112 grounding_loss_reg: 2.6596 2023/11/04 14:50:51 - mmengine - INFO - Iter(train) [261300/320000] base_lr: 1.7990e-05 lr: 8.2990e-06 eta: 1 day, 12:55:25 time: 2.2341 data_time: 0.1263 memory: 25855 grad_norm: 1.4879 loss: 1.3243 caption_loss_cls: 2.2436 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.7392 detection_loss_cls: 0.0476 detection_loss_reg: 0.4251 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6606 2023/11/04 14:54:42 - mmengine - INFO - Iter(train) [261400/320000] base_lr: 1.7937e-05 lr: 8.2782e-06 eta: 1 day, 12:51:46 time: 2.2387 data_time: 0.1264 memory: 26533 grad_norm: 1.4902 loss: 1.3261 caption_loss_cls: 2.2413 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.7390 detection_loss_cls: 0.0477 detection_loss_reg: 0.4253 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6598 2023/11/04 14:58:09 - mmengine - INFO - Iter(train) [261500/320000] base_lr: 1.7884e-05 lr: 8.2573e-06 eta: 1 day, 12:47:26 time: 2.2458 data_time: 0.1265 memory: 26533 grad_norm: 1.4852 loss: 1.3242 caption_loss_cls: 2.2400 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2837 instance_segmentation_loss_poly: 0.7385 detection_loss_cls: 0.0477 detection_loss_reg: 0.4256 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6579 2023/11/04 14:58:09 - mmengine - INFO - Saving checkpoint at 261500 iterations 2023/11/04 15:02:33 - mmengine - INFO - Iter(train) [261600/320000] base_lr: 1.7831e-05 lr: 8.2366e-06 eta: 1 day, 12:44:43 time: 2.2360 data_time: 0.1265 memory: 25855 grad_norm: 1.4958 loss: 1.3307 caption_loss_cls: 2.2402 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7397 detection_loss_cls: 0.0478 detection_loss_reg: 0.4260 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6557 2023/11/04 15:06:05 - mmengine - INFO - Iter(train) [261700/320000] base_lr: 1.7779e-05 lr: 8.2158e-06 eta: 1 day, 12:40:31 time: 2.2450 data_time: 0.1266 memory: 26533 grad_norm: 1.4884 loss: 1.3282 caption_loss_cls: 2.2394 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7399 detection_loss_cls: 0.0477 detection_loss_reg: 0.4260 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6554 2023/11/04 15:09:45 - mmengine - INFO - Iter(train) [261800/320000] base_lr: 1.7726e-05 lr: 8.1951e-06 eta: 1 day, 12:36:35 time: 2.2441 data_time: 0.1266 memory: 26533 grad_norm: 1.5004 loss: 1.3282 caption_loss_cls: 2.2385 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2852 instance_segmentation_loss_poly: 0.7412 detection_loss_cls: 0.0475 detection_loss_reg: 0.4244 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6549 2023/11/04 15:13:02 - mmengine - INFO - Iter(train) [261900/320000] base_lr: 1.7673e-05 lr: 8.1744e-06 eta: 1 day, 12:31:59 time: 2.2352 data_time: 0.1266 memory: 25855 grad_norm: 1.5090 loss: 1.3355 caption_loss_cls: 2.2376 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2850 instance_segmentation_loss_poly: 0.7415 detection_loss_cls: 0.0475 detection_loss_reg: 0.4236 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6557 2023/11/04 15:16:36 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 15:16:36 - mmengine - INFO - Iter(train) [262000/320000] base_lr: 1.7621e-05 lr: 8.1537e-06 eta: 1 day, 12:27:53 time: 2.2368 data_time: 0.1267 memory: 26533 grad_norm: 1.5104 loss: 1.3365 caption_loss_cls: 2.2387 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.7417 detection_loss_cls: 0.0474 detection_loss_reg: 0.4236 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6549 2023/11/04 15:16:36 - mmengine - INFO - Saving checkpoint at 262000 iterations 2023/11/04 15:21:00 - mmengine - INFO - Iter(train) [262100/320000] base_lr: 1.7569e-05 lr: 8.1331e-06 eta: 1 day, 12:25:09 time: 2.2360 data_time: 0.1272 memory: 25855 grad_norm: 1.5154 loss: 1.3337 caption_loss_cls: 2.2392 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7405 detection_loss_cls: 0.0475 detection_loss_reg: 0.4239 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6546 2023/11/04 15:24:41 - mmengine - INFO - Iter(train) [262200/320000] base_lr: 1.7516e-05 lr: 8.1125e-06 eta: 1 day, 12:21:12 time: 2.2388 data_time: 0.1272 memory: 26533 grad_norm: 1.5200 loss: 1.3378 caption_loss_cls: 2.2411 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.7414 detection_loss_cls: 0.0475 detection_loss_reg: 0.4239 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6547 2023/11/04 15:28:57 - mmengine - INFO - Iter(train) [262300/320000] base_lr: 1.7464e-05 lr: 8.0919e-06 eta: 1 day, 12:18:14 time: 2.2496 data_time: 0.1289 memory: 25855 grad_norm: 1.5158 loss: 1.3344 caption_loss_cls: 2.2418 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2848 instance_segmentation_loss_poly: 0.7405 detection_loss_cls: 0.0476 detection_loss_reg: 0.4247 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6536 2023/11/04 15:32:43 - mmengine - INFO - Iter(train) [262400/320000] base_lr: 1.7412e-05 lr: 8.0714e-06 eta: 1 day, 12:14:28 time: 2.2548 data_time: 0.1289 memory: 26533 grad_norm: 1.5148 loss: 1.3291 caption_loss_cls: 2.2406 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.7408 detection_loss_cls: 0.0476 detection_loss_reg: 0.4259 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6515 2023/11/04 15:36:46 - mmengine - INFO - Iter(train) [262500/320000] base_lr: 1.7360e-05 lr: 8.0509e-06 eta: 1 day, 12:11:07 time: 2.2626 data_time: 0.1301 memory: 26533 grad_norm: 1.5213 loss: 1.3308 caption_loss_cls: 2.2417 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.7411 detection_loss_cls: 0.0476 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6516 2023/11/04 15:36:46 - mmengine - INFO - Saving checkpoint at 262500 iterations 2023/11/04 15:41:50 - mmengine - INFO - Iter(train) [262600/320000] base_lr: 1.7308e-05 lr: 8.0304e-06 eta: 1 day, 12:09:25 time: 2.2582 data_time: 0.1282 memory: 26533 grad_norm: 1.5141 loss: 1.3268 caption_loss_cls: 2.2400 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.7411 detection_loss_cls: 0.0476 detection_loss_reg: 0.4262 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6514 2023/11/04 15:45:30 - mmengine - INFO - Iter(train) [262700/320000] base_lr: 1.7256e-05 lr: 8.0100e-06 eta: 1 day, 12:05:28 time: 2.2611 data_time: 0.1283 memory: 26533 grad_norm: 1.5152 loss: 1.3285 caption_loss_cls: 2.2380 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7420 detection_loss_cls: 0.0477 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6526 2023/11/04 15:49:00 - mmengine - INFO - Iter(train) [262800/320000] base_lr: 1.7204e-05 lr: 7.9896e-06 eta: 1 day, 12:01:14 time: 2.2597 data_time: 0.1283 memory: 25855 grad_norm: 1.5156 loss: 1.3335 caption_loss_cls: 2.2386 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2850 instance_segmentation_loss_poly: 0.7417 detection_loss_cls: 0.0479 detection_loss_reg: 0.4283 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6527 2023/11/04 15:52:34 - mmengine - INFO - Iter(train) [262900/320000] base_lr: 1.7153e-05 lr: 7.9692e-06 eta: 1 day, 11:57:07 time: 2.2622 data_time: 0.1284 memory: 26533 grad_norm: 1.5127 loss: 1.3320 caption_loss_cls: 2.2391 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2850 instance_segmentation_loss_poly: 0.7420 detection_loss_cls: 0.0479 detection_loss_reg: 0.4281 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6521 2023/11/04 15:55:51 - mmengine - INFO - Exp name: univision_joint_all_large_20231103_155657 2023/11/04 15:55:51 - mmengine - INFO - Iter(train) [263000/320000] base_lr: 1.7101e-05 lr: 7.9489e-06 eta: 1 day, 11:52:33 time: 2.2513 data_time: 0.1283 memory: 26533 grad_norm: 1.5246 loss: 1.3359 caption_loss_cls: 2.2393 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.7428 detection_loss_cls: 0.0479 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6527 2023/11/04 15:55:51 - mmengine - INFO - Saving checkpoint at 263000 iterations 2023/11/05 08:23:36 - mmengine - INFO - Iter(train) [263100/320000] base_lr: 1.7049e-05 lr: 7.9286e-06 eta: 1 day, 4:25:52 time: 2.1676 data_time: 0.1131 memory: 26536 grad_norm: 1.5019 loss: 1.3140 caption_loss_cls: 2.2347 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2852 instance_segmentation_loss_poly: 0.7421 detection_loss_cls: 0.0481 detection_loss_reg: 0.4280 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6516 2023/11/05 08:27:09 - mmengine - INFO - Iter(train) [263200/320000] base_lr: 1.6998e-05 lr: 7.9083e-06 eta: 1 day, 5:08:02 time: 2.1721 data_time: 0.1132 memory: 25860 grad_norm: 1.4933 loss: 1.3078 caption_loss_cls: 2.2347 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7398 detection_loss_cls: 0.0481 detection_loss_reg: 0.4280 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6510 2023/11/05 08:30:06 - mmengine - INFO - Iter(train) [263300/320000] base_lr: 1.6947e-05 lr: 7.8881e-06 eta: 1 day, 4:56:04 time: 2.1590 data_time: 0.1131 memory: 25860 grad_norm: 1.5013 loss: 1.3089 caption_loss_cls: 2.2355 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7403 detection_loss_cls: 0.0478 detection_loss_reg: 0.4268 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6491 2023/11/05 08:32:47 - mmengine - INFO - Iter(train) [263400/320000] base_lr: 1.6895e-05 lr: 7.8678e-06 eta: 1 day, 4:29:21 time: 2.1422 data_time: 0.1122 memory: 26536 grad_norm: 1.5037 loss: 1.3061 caption_loss_cls: 2.2335 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7410 detection_loss_cls: 0.0477 detection_loss_reg: 0.4266 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6470 2023/11/05 08:36:02 - mmengine - INFO - Iter(train) [263500/320000] base_lr: 1.6844e-05 lr: 7.8477e-06 eta: 1 day, 4:38:47 time: 2.1391 data_time: 0.1122 memory: 26536 grad_norm: 1.5107 loss: 1.3062 caption_loss_cls: 2.2325 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.7395 detection_loss_cls: 0.0478 detection_loss_reg: 0.4275 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6459 2023/11/05 08:36:02 - mmengine - INFO - Saving checkpoint at 263500 iterations 2023/11/05 08:40:29 - mmengine - INFO - Iter(train) [263600/320000] base_lr: 1.6793e-05 lr: 7.8275e-06 eta: 1 day, 5:48:06 time: 2.1413 data_time: 0.1131 memory: 25860 grad_norm: 1.5033 loss: 1.3011 caption_loss_cls: 2.2324 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2842 instance_segmentation_loss_poly: 0.7396 detection_loss_cls: 0.0476 detection_loss_reg: 0.4271 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6460 2023/11/05 08:43:37 - mmengine - INFO - Iter(train) [263700/320000] base_lr: 1.6742e-05 lr: 7.8074e-06 eta: 1 day, 5:42:55 time: 2.1321 data_time: 0.1129 memory: 26536 grad_norm: 1.4976 loss: 1.2908 caption_loss_cls: 2.2304 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.7392 detection_loss_cls: 0.0477 detection_loss_reg: 0.4278 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6456 2023/11/05 08:46:44 - mmengine - INFO - Iter(train) [263800/320000] base_lr: 1.6691e-05 lr: 7.7873e-06 eta: 1 day, 5:37:49 time: 2.1181 data_time: 0.1128 memory: 25860 grad_norm: 1.5036 loss: 1.2967 caption_loss_cls: 2.2299 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2837 instance_segmentation_loss_poly: 0.7390 detection_loss_cls: 0.0477 detection_loss_reg: 0.4277 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6449 2023/11/05 08:49:49 - mmengine - INFO - Iter(train) [263900/320000] base_lr: 1.6640e-05 lr: 7.7673e-06 eta: 1 day, 5:31:29 time: 2.1111 data_time: 0.1128 memory: 26536 grad_norm: 1.5116 loss: 1.2966 caption_loss_cls: 2.2280 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.7383 detection_loss_cls: 0.0476 detection_loss_reg: 0.4275 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6440 2023/11/05 08:52:46 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 08:52:46 - mmengine - INFO - Iter(train) [264000/320000] base_lr: 1.6589e-05 lr: 7.7472e-06 eta: 1 day, 5:20:01 time: 2.1026 data_time: 0.1128 memory: 25860 grad_norm: 1.5120 loss: 1.2965 caption_loss_cls: 2.2280 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2827 instance_segmentation_loss_poly: 0.7375 detection_loss_cls: 0.0477 detection_loss_reg: 0.4277 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6421 2023/11/05 08:52:46 - mmengine - INFO - Saving checkpoint at 264000 iterations 2023/11/05 08:56:56 - mmengine - INFO - Iter(train) [264100/320000] base_lr: 1.6538e-05 lr: 7.7272e-06 eta: 1 day, 5:53:01 time: 2.1125 data_time: 0.1269 memory: 25860 grad_norm: 1.5001 loss: 1.2880 caption_loss_cls: 2.2277 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2827 instance_segmentation_loss_poly: 0.7378 detection_loss_cls: 0.0476 detection_loss_reg: 0.4277 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6417 2023/11/05 09:00:24 - mmengine - INFO - Iter(train) [264200/320000] base_lr: 1.6488e-05 lr: 7.7073e-06 eta: 1 day, 5:58:08 time: 2.1097 data_time: 0.1269 memory: 25860 grad_norm: 1.5010 loss: 1.2881 caption_loss_cls: 2.2298 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7372 detection_loss_cls: 0.0477 detection_loss_reg: 0.4282 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6409 2023/11/05 09:03:36 - mmengine - INFO - Iter(train) [264300/320000] base_lr: 1.6437e-05 lr: 7.6874e-06 eta: 1 day, 5:54:19 time: 2.1066 data_time: 0.1268 memory: 26536 grad_norm: 1.5142 loss: 1.2902 caption_loss_cls: 2.2296 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7369 detection_loss_cls: 0.0476 detection_loss_reg: 0.4281 semantic_segmentation_loss_cls: 0.0111 grounding_loss_reg: 2.6396 2023/11/05 09:07:11 - mmengine - INFO - Iter(train) [264400/320000] base_lr: 1.6387e-05 lr: 7.6675e-06 eta: 1 day, 6:01:44 time: 2.1094 data_time: 0.1272 memory: 25860 grad_norm: 1.5047 loss: 1.2836 caption_loss_cls: 2.2302 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.7377 detection_loss_cls: 0.0477 detection_loss_reg: 0.4288 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6389 2023/11/05 09:10:24 - mmengine - INFO - Iter(train) [264500/320000] base_lr: 1.6336e-05 lr: 7.6476e-06 eta: 1 day, 5:57:46 time: 2.1035 data_time: 0.1271 memory: 26536 grad_norm: 1.5121 loss: 1.2864 caption_loss_cls: 2.2293 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2821 instance_segmentation_loss_poly: 0.7374 detection_loss_cls: 0.0478 detection_loss_reg: 0.4290 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6406 2023/11/05 09:10:24 - mmengine - INFO - Saving checkpoint at 264500 iterations 2023/11/05 09:14:48 - mmengine - INFO - Iter(train) [264600/320000] base_lr: 1.6286e-05 lr: 7.6278e-06 eta: 1 day, 6:25:00 time: 2.1068 data_time: 0.1269 memory: 26536 grad_norm: 1.5087 loss: 1.2838 caption_loss_cls: 2.2310 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2817 instance_segmentation_loss_poly: 0.7359 detection_loss_cls: 0.0478 detection_loss_reg: 0.4288 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6416 2023/11/05 09:18:16 - mmengine - INFO - Iter(train) [264700/320000] base_lr: 1.6236e-05 lr: 7.6080e-06 eta: 1 day, 6:25:57 time: 2.1051 data_time: 0.1269 memory: 26536 grad_norm: 1.5087 loss: 1.2822 caption_loss_cls: 2.2316 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2817 instance_segmentation_loss_poly: 0.7359 detection_loss_cls: 0.0480 detection_loss_reg: 0.4294 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6400 2023/11/05 09:21:56 - mmengine - INFO - Iter(train) [264800/320000] base_lr: 1.6185e-05 lr: 7.5882e-06 eta: 1 day, 6:31:36 time: 2.1092 data_time: 0.1270 memory: 26536 grad_norm: 1.5037 loss: 1.2790 caption_loss_cls: 2.2292 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7369 detection_loss_cls: 0.0480 detection_loss_reg: 0.4296 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6401 2023/11/05 09:25:09 - mmengine - INFO - Iter(train) [264900/320000] base_lr: 1.6135e-05 lr: 7.5685e-06 eta: 1 day, 6:25:59 time: 2.0956 data_time: 0.1267 memory: 25860 grad_norm: 1.5085 loss: 1.2755 caption_loss_cls: 2.2288 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.7364 detection_loss_cls: 0.0479 detection_loss_reg: 0.4292 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6397 2023/11/05 09:28:39 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 09:28:39 - mmengine - INFO - Iter(train) [265000/320000] base_lr: 1.6085e-05 lr: 7.5488e-06 eta: 1 day, 6:26:27 time: 2.0982 data_time: 0.1267 memory: 26536 grad_norm: 1.5016 loss: 1.2667 caption_loss_cls: 2.2294 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2810 instance_segmentation_loss_poly: 0.7355 detection_loss_cls: 0.0479 detection_loss_reg: 0.4299 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6396 2023/11/05 09:28:39 - mmengine - INFO - Saving checkpoint at 265000 iterations 2023/11/05 09:33:17 - mmengine - INFO - Iter(train) [265100/320000] base_lr: 1.6035e-05 lr: 7.5291e-06 eta: 1 day, 6:50:46 time: 2.1014 data_time: 0.1260 memory: 26536 grad_norm: 1.4906 loss: 1.2667 caption_loss_cls: 2.2270 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.7358 detection_loss_cls: 0.0480 detection_loss_reg: 0.4293 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6387 2023/11/05 09:36:48 - mmengine - INFO - Iter(train) [265200/320000] base_lr: 1.5986e-05 lr: 7.5095e-06 eta: 1 day, 6:50:31 time: 2.1056 data_time: 0.1261 memory: 26536 grad_norm: 1.4854 loss: 1.2654 caption_loss_cls: 2.2257 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.7356 detection_loss_cls: 0.0481 detection_loss_reg: 0.4292 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6405 2023/11/05 09:40:12 - mmengine - INFO - Iter(train) [265300/320000] base_lr: 1.5936e-05 lr: 7.4899e-06 eta: 1 day, 6:47:39 time: 2.1071 data_time: 0.1261 memory: 25860 grad_norm: 1.4834 loss: 1.2613 caption_loss_cls: 2.2253 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2807 instance_segmentation_loss_poly: 0.7346 detection_loss_cls: 0.0480 detection_loss_reg: 0.4287 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6400 2023/11/05 09:43:51 - mmengine - INFO - Iter(train) [265400/320000] base_lr: 1.5886e-05 lr: 7.4703e-06 eta: 1 day, 6:49:10 time: 2.1039 data_time: 0.1260 memory: 26536 grad_norm: 1.4795 loss: 1.2586 caption_loss_cls: 2.2250 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2807 instance_segmentation_loss_poly: 0.7347 detection_loss_cls: 0.0479 detection_loss_reg: 0.4283 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6377 2023/11/05 09:47:22 - mmengine - INFO - Iter(train) [265500/320000] base_lr: 1.5837e-05 lr: 7.4508e-06 eta: 1 day, 6:48:22 time: 2.1053 data_time: 0.1260 memory: 26536 grad_norm: 1.4709 loss: 1.2568 caption_loss_cls: 2.2248 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2810 instance_segmentation_loss_poly: 0.7345 detection_loss_cls: 0.0478 detection_loss_reg: 0.4279 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6376 2023/11/05 09:47:22 - mmengine - INFO - Saving checkpoint at 265500 iterations 2023/11/05 09:51:42 - mmengine - INFO - Iter(train) [265600/320000] base_lr: 1.5787e-05 lr: 7.4313e-06 eta: 1 day, 7:01:26 time: 2.1043 data_time: 0.1258 memory: 26536 grad_norm: 1.4610 loss: 1.2510 caption_loss_cls: 2.2254 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2809 instance_segmentation_loss_poly: 0.7346 detection_loss_cls: 0.0478 detection_loss_reg: 0.4272 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6387 2023/11/05 09:55:19 - mmengine - INFO - Iter(train) [265700/320000] base_lr: 1.5738e-05 lr: 7.4118e-06 eta: 1 day, 7:01:15 time: 2.1055 data_time: 0.1258 memory: 25860 grad_norm: 1.4551 loss: 1.2430 caption_loss_cls: 2.2210 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7354 detection_loss_cls: 0.0477 detection_loss_reg: 0.4276 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6370 2023/11/05 09:59:13 - mmengine - INFO - Iter(train) [265800/320000] base_lr: 1.5688e-05 lr: 7.3923e-06 eta: 1 day, 7:05:36 time: 2.1089 data_time: 0.1259 memory: 25860 grad_norm: 1.4392 loss: 1.2436 caption_loss_cls: 2.2198 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.7354 detection_loss_cls: 0.0477 detection_loss_reg: 0.4276 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6367 2023/11/05 10:02:38 - mmengine - INFO - Iter(train) [265900/320000] base_lr: 1.5639e-05 lr: 7.3729e-06 eta: 1 day, 7:01:38 time: 2.1108 data_time: 0.1258 memory: 25860 grad_norm: 1.4418 loss: 1.2405 caption_loss_cls: 2.2220 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.7354 detection_loss_cls: 0.0477 detection_loss_reg: 0.4279 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6368 2023/11/05 10:06:13 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 10:06:13 - mmengine - INFO - Iter(train) [266000/320000] base_lr: 1.5590e-05 lr: 7.3536e-06 eta: 1 day, 7:00:27 time: 2.1110 data_time: 0.1257 memory: 25860 grad_norm: 1.4458 loss: 1.2360 caption_loss_cls: 2.2191 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.7354 detection_loss_cls: 0.0477 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6350 2023/11/05 10:06:13 - mmengine - INFO - Saving checkpoint at 266000 iterations 2023/11/05 10:10:32 - mmengine - INFO - Iter(train) [266100/320000] base_lr: 1.5541e-05 lr: 7.3342e-06 eta: 1 day, 7:10:05 time: 2.1098 data_time: 0.1256 memory: 25860 grad_norm: 1.4452 loss: 1.2377 caption_loss_cls: 2.2185 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.7353 detection_loss_cls: 0.0476 detection_loss_reg: 0.4268 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6338 2023/11/05 10:14:34 - mmengine - INFO - Iter(train) [266200/320000] base_lr: 1.5492e-05 lr: 7.3149e-06 eta: 1 day, 7:14:46 time: 2.1153 data_time: 0.1257 memory: 25860 grad_norm: 1.4478 loss: 1.2319 caption_loss_cls: 2.2168 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2811 instance_segmentation_loss_poly: 0.7340 detection_loss_cls: 0.0475 detection_loss_reg: 0.4266 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6333 2023/11/05 10:18:29 - mmengine - INFO - Iter(train) [266300/320000] base_lr: 1.5443e-05 lr: 7.2956e-06 eta: 1 day, 7:17:22 time: 2.1099 data_time: 0.1240 memory: 25860 grad_norm: 1.4460 loss: 1.2284 caption_loss_cls: 2.2176 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.7345 detection_loss_cls: 0.0475 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6297 2023/11/05 10:22:28 - mmengine - INFO - Iter(train) [266400/320000] base_lr: 1.5394e-05 lr: 7.2764e-06 eta: 1 day, 7:20:26 time: 2.1129 data_time: 0.1240 memory: 26536 grad_norm: 1.4427 loss: 1.2268 caption_loss_cls: 2.2179 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.7336 detection_loss_cls: 0.0476 detection_loss_reg: 0.4278 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6275 2023/11/05 10:26:21 - mmengine - INFO - Iter(train) [266500/320000] base_lr: 1.5345e-05 lr: 7.2572e-06 eta: 1 day, 7:22:05 time: 2.1107 data_time: 0.1229 memory: 25860 grad_norm: 1.4348 loss: 1.2267 caption_loss_cls: 2.2182 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7355 detection_loss_cls: 0.0475 detection_loss_reg: 0.4275 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6271 2023/11/05 10:26:21 - mmengine - INFO - Saving checkpoint at 266500 iterations 2023/11/05 10:31:02 - mmengine - INFO - Iter(train) [266600/320000] base_lr: 1.5296e-05 lr: 7.2380e-06 eta: 1 day, 7:33:45 time: 2.1444 data_time: 0.1374 memory: 26536 grad_norm: 1.4341 loss: 1.2288 caption_loss_cls: 2.2191 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7361 detection_loss_cls: 0.0474 detection_loss_reg: 0.4275 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6235 2023/11/05 10:34:56 - mmengine - INFO - Iter(train) [266700/320000] base_lr: 1.5248e-05 lr: 7.2188e-06 eta: 1 day, 7:34:36 time: 2.1604 data_time: 0.1375 memory: 26536 grad_norm: 1.4326 loss: 1.2289 caption_loss_cls: 2.2194 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2820 instance_segmentation_loss_poly: 0.7366 detection_loss_cls: 0.0474 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6212 2023/11/05 10:38:18 - mmengine - INFO - Iter(train) [266800/320000] base_lr: 1.5199e-05 lr: 7.1997e-06 eta: 1 day, 7:28:46 time: 2.1657 data_time: 0.1374 memory: 26536 grad_norm: 1.4366 loss: 1.2320 caption_loss_cls: 2.2205 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.7370 detection_loss_cls: 0.0473 detection_loss_reg: 0.4266 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6210 2023/11/05 10:42:22 - mmengine - INFO - Iter(train) [266900/320000] base_lr: 1.5151e-05 lr: 7.1806e-06 eta: 1 day, 7:31:27 time: 2.1843 data_time: 0.1379 memory: 26536 grad_norm: 1.4254 loss: 1.2317 caption_loss_cls: 2.2210 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7391 detection_loss_cls: 0.0473 detection_loss_reg: 0.4265 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6213 2023/11/05 10:45:50 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 10:45:50 - mmengine - INFO - Iter(train) [267000/320000] base_lr: 1.5102e-05 lr: 7.1616e-06 eta: 1 day, 7:26:45 time: 2.1892 data_time: 0.1378 memory: 26536 grad_norm: 1.4308 loss: 1.2353 caption_loss_cls: 2.2228 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.7396 detection_loss_cls: 0.0474 detection_loss_reg: 0.4267 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6209 2023/11/05 10:45:50 - mmengine - INFO - Saving checkpoint at 267000 iterations 2023/11/05 10:50:12 - mmengine - INFO - Iter(train) [267100/320000] base_lr: 1.5054e-05 lr: 7.1425e-06 eta: 1 day, 7:32:27 time: 2.1986 data_time: 0.1379 memory: 25860 grad_norm: 1.4267 loss: 1.2331 caption_loss_cls: 2.2225 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7399 detection_loss_cls: 0.0474 detection_loss_reg: 0.4267 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6202 2023/11/05 10:54:00 - mmengine - INFO - Iter(train) [267200/320000] base_lr: 1.5006e-05 lr: 7.1236e-06 eta: 1 day, 7:31:22 time: 2.2023 data_time: 0.1378 memory: 25860 grad_norm: 1.4171 loss: 1.2305 caption_loss_cls: 2.2241 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7401 detection_loss_cls: 0.0473 detection_loss_reg: 0.4266 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6230 2023/11/05 10:57:30 - mmengine - INFO - Iter(train) [267300/320000] base_lr: 1.4958e-05 lr: 7.1046e-06 eta: 1 day, 7:26:44 time: 2.2103 data_time: 0.1378 memory: 25860 grad_norm: 1.4233 loss: 1.2333 caption_loss_cls: 2.2231 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2833 instance_segmentation_loss_poly: 0.7402 detection_loss_cls: 0.0473 detection_loss_reg: 0.4268 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6235 2023/11/05 11:01:18 - mmengine - INFO - Iter(train) [267400/320000] base_lr: 1.4910e-05 lr: 7.0857e-06 eta: 1 day, 7:25:40 time: 2.2272 data_time: 0.1380 memory: 25860 grad_norm: 1.4190 loss: 1.2335 caption_loss_cls: 2.2236 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7409 detection_loss_cls: 0.0473 detection_loss_reg: 0.4271 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6252 2023/11/05 11:05:04 - mmengine - INFO - Iter(train) [267500/320000] base_lr: 1.4862e-05 lr: 7.0668e-06 eta: 1 day, 7:23:53 time: 2.2350 data_time: 0.1381 memory: 26536 grad_norm: 1.4246 loss: 1.2369 caption_loss_cls: 2.2234 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7413 detection_loss_cls: 0.0473 detection_loss_reg: 0.4264 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6241 2023/11/05 11:05:04 - mmengine - INFO - Saving checkpoint at 267500 iterations 2023/11/05 11:10:23 - mmengine - INFO - Iter(train) [267600/320000] base_lr: 1.4814e-05 lr: 7.0479e-06 eta: 1 day, 7:38:03 time: 2.2479 data_time: 0.1373 memory: 26536 grad_norm: 1.4293 loss: 1.2390 caption_loss_cls: 2.2251 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2845 instance_segmentation_loss_poly: 0.7420 detection_loss_cls: 0.0471 detection_loss_reg: 0.4254 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6234 2023/11/05 11:14:06 - mmengine - INFO - Iter(train) [267700/320000] base_lr: 1.4766e-05 lr: 7.0291e-06 eta: 1 day, 7:35:21 time: 2.2567 data_time: 0.1374 memory: 26536 grad_norm: 1.4352 loss: 1.2465 caption_loss_cls: 2.2262 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.7428 detection_loss_cls: 0.0471 detection_loss_reg: 0.4250 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6220 2023/11/05 11:18:05 - mmengine - INFO - Iter(train) [267800/320000] base_lr: 1.4719e-05 lr: 7.0103e-06 eta: 1 day, 7:35:18 time: 2.2697 data_time: 0.1375 memory: 25860 grad_norm: 1.4346 loss: 1.2419 caption_loss_cls: 2.2252 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2852 instance_segmentation_loss_poly: 0.7441 detection_loss_cls: 0.0471 detection_loss_reg: 0.4248 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6214 2023/11/05 11:21:56 - mmengine - INFO - Iter(train) [267900/320000] base_lr: 1.4671e-05 lr: 6.9916e-06 eta: 1 day, 7:33:42 time: 2.2810 data_time: 0.1375 memory: 26536 grad_norm: 1.4208 loss: 1.2394 caption_loss_cls: 2.2251 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.7435 detection_loss_cls: 0.0471 detection_loss_reg: 0.4250 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6204 2023/11/05 11:25:43 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 11:25:43 - mmengine - INFO - Iter(train) [268000/320000] base_lr: 1.4623e-05 lr: 6.9728e-06 eta: 1 day, 7:31:35 time: 2.2939 data_time: 0.1377 memory: 26536 grad_norm: 1.4185 loss: 1.2403 caption_loss_cls: 2.2260 instance_segmentation_loss_cls: 0.0326 instance_segmentation_loss_reg: 0.2845 instance_segmentation_loss_poly: 0.7428 detection_loss_cls: 0.0470 detection_loss_reg: 0.4241 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6189 2023/11/05 11:25:43 - mmengine - INFO - Saving checkpoint at 268000 iterations 2023/11/05 11:30:45 - mmengine - INFO - Iter(train) [268100/320000] base_lr: 1.4576e-05 lr: 6.9542e-06 eta: 1 day, 7:40:45 time: 2.3066 data_time: 0.1377 memory: 26536 grad_norm: 1.4211 loss: 1.2403 caption_loss_cls: 2.2258 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7412 detection_loss_cls: 0.0470 detection_loss_reg: 0.4242 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6189 2023/11/05 11:34:23 - mmengine - INFO - Iter(train) [268200/320000] base_lr: 1.4529e-05 lr: 6.9355e-06 eta: 1 day, 7:36:49 time: 2.3091 data_time: 0.1377 memory: 25860 grad_norm: 1.4315 loss: 1.2386 caption_loss_cls: 2.2255 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7414 detection_loss_cls: 0.0469 detection_loss_reg: 0.4239 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6191 2023/11/05 11:38:10 - mmengine - INFO - Iter(train) [268300/320000] base_lr: 1.4481e-05 lr: 6.9169e-06 eta: 1 day, 7:34:14 time: 2.3178 data_time: 0.1378 memory: 26536 grad_norm: 1.4209 loss: 1.2339 caption_loss_cls: 2.2247 instance_segmentation_loss_cls: 0.0325 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.7405 detection_loss_cls: 0.0469 detection_loss_reg: 0.4239 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6193 2023/11/05 11:42:07 - mmengine - INFO - Iter(train) [268400/320000] base_lr: 1.4434e-05 lr: 6.8983e-06 eta: 1 day, 7:33:09 time: 2.3234 data_time: 0.1376 memory: 25860 grad_norm: 1.4222 loss: 1.2347 caption_loss_cls: 2.2261 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2829 instance_segmentation_loss_poly: 0.7400 detection_loss_cls: 0.0470 detection_loss_reg: 0.4244 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6202 2023/11/05 11:45:56 - mmengine - INFO - Iter(train) [268500/320000] base_lr: 1.4387e-05 lr: 6.8797e-06 eta: 1 day, 7:30:43 time: 2.3324 data_time: 0.1376 memory: 25860 grad_norm: 1.4158 loss: 1.2342 caption_loss_cls: 2.2257 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.7404 detection_loss_cls: 0.0471 detection_loss_reg: 0.4251 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6208 2023/11/05 11:45:56 - mmengine - INFO - Saving checkpoint at 268500 iterations 2023/11/05 11:50:50 - mmengine - INFO - Iter(train) [268600/320000] base_lr: 1.4340e-05 lr: 6.8612e-06 eta: 1 day, 7:37:21 time: 2.3399 data_time: 0.1382 memory: 26536 grad_norm: 1.4135 loss: 1.2305 caption_loss_cls: 2.2251 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2827 instance_segmentation_loss_poly: 0.7404 detection_loss_cls: 0.0471 detection_loss_reg: 0.4247 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6204 2023/11/05 11:54:30 - mmengine - INFO - Iter(train) [268700/320000] base_lr: 1.4293e-05 lr: 6.8427e-06 eta: 1 day, 7:33:33 time: 2.3431 data_time: 0.1382 memory: 25860 grad_norm: 1.4142 loss: 1.2331 caption_loss_cls: 2.2250 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.7409 detection_loss_cls: 0.0472 detection_loss_reg: 0.4250 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6195 2023/11/05 11:58:01 - mmengine - INFO - Iter(train) [268800/320000] base_lr: 1.4246e-05 lr: 6.8242e-06 eta: 1 day, 7:28:19 time: 2.3405 data_time: 0.1381 memory: 26536 grad_norm: 1.4209 loss: 1.2374 caption_loss_cls: 2.2256 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7411 detection_loss_cls: 0.0471 detection_loss_reg: 0.4242 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6188 2023/11/05 12:01:32 - mmengine - INFO - Iter(train) [268900/320000] base_lr: 1.4199e-05 lr: 6.8058e-06 eta: 1 day, 7:23:18 time: 2.3451 data_time: 0.1381 memory: 26536 grad_norm: 1.4227 loss: 1.2442 caption_loss_cls: 2.2269 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.7419 detection_loss_cls: 0.0468 detection_loss_reg: 0.4230 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6197 2023/11/05 12:05:26 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 12:05:26 - mmengine - INFO - Iter(train) [269000/320000] base_lr: 1.4153e-05 lr: 6.7874e-06 eta: 1 day, 7:21:20 time: 2.3514 data_time: 0.1382 memory: 25860 grad_norm: 1.4256 loss: 1.2445 caption_loss_cls: 2.2266 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.7429 detection_loss_cls: 0.0471 detection_loss_reg: 0.4240 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6192 2023/11/05 12:05:26 - mmengine - INFO - Saving checkpoint at 269000 iterations 2023/11/05 12:09:57 - mmengine - INFO - Iter(train) [269100/320000] base_lr: 1.4106e-05 lr: 6.7690e-06 eta: 1 day, 7:24:02 time: 2.3497 data_time: 0.1378 memory: 25860 grad_norm: 1.4278 loss: 1.2380 caption_loss_cls: 2.2253 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7428 detection_loss_cls: 0.0470 detection_loss_reg: 0.4232 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6155 2023/11/05 12:13:54 - mmengine - INFO - Iter(train) [269200/320000] base_lr: 1.4059e-05 lr: 6.7507e-06 eta: 1 day, 7:22:09 time: 2.3559 data_time: 0.1378 memory: 26536 grad_norm: 1.4219 loss: 1.2380 caption_loss_cls: 2.2271 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7429 detection_loss_cls: 0.0470 detection_loss_reg: 0.4226 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6149 2023/11/05 12:17:49 - mmengine - INFO - Iter(train) [269300/320000] base_lr: 1.4013e-05 lr: 6.7324e-06 eta: 1 day, 7:19:59 time: 2.3636 data_time: 0.1378 memory: 25860 grad_norm: 1.4230 loss: 1.2387 caption_loss_cls: 2.2295 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.7420 detection_loss_cls: 0.0471 detection_loss_reg: 0.4233 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6153 2023/11/05 12:21:26 - mmengine - INFO - Iter(train) [269400/320000] base_lr: 1.3967e-05 lr: 6.7141e-06 eta: 1 day, 7:15:38 time: 2.3633 data_time: 0.1379 memory: 26536 grad_norm: 1.4277 loss: 1.2420 caption_loss_cls: 2.2297 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2833 instance_segmentation_loss_poly: 0.7425 detection_loss_cls: 0.0471 detection_loss_reg: 0.4234 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6134 2023/11/05 12:24:47 - mmengine - INFO - Iter(train) [269500/320000] base_lr: 1.3920e-05 lr: 6.6959e-06 eta: 1 day, 7:09:23 time: 2.3607 data_time: 0.1378 memory: 25860 grad_norm: 1.4337 loss: 1.2436 caption_loss_cls: 2.2282 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7427 detection_loss_cls: 0.0470 detection_loss_reg: 0.4235 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6125 2023/11/05 12:24:47 - mmengine - INFO - Saving checkpoint at 269500 iterations 2023/11/05 12:29:34 - mmengine - INFO - Iter(train) [269600/320000] base_lr: 1.3874e-05 lr: 6.6777e-06 eta: 1 day, 7:13:22 time: 2.3675 data_time: 0.1383 memory: 25860 grad_norm: 1.4389 loss: 1.2437 caption_loss_cls: 2.2294 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7435 detection_loss_cls: 0.0470 detection_loss_reg: 0.4227 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6116 2023/11/05 12:33:05 - mmengine - INFO - Iter(train) [269700/320000] base_lr: 1.3828e-05 lr: 6.6595e-06 eta: 1 day, 7:08:16 time: 2.3661 data_time: 0.1382 memory: 25860 grad_norm: 1.4432 loss: 1.2458 caption_loss_cls: 2.2304 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7434 detection_loss_cls: 0.0471 detection_loss_reg: 0.4230 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6111 2023/11/05 12:36:55 - mmengine - INFO - Iter(train) [269800/320000] base_lr: 1.3782e-05 lr: 6.6414e-06 eta: 1 day, 7:05:21 time: 2.3650 data_time: 0.1382 memory: 25860 grad_norm: 1.4431 loss: 1.2451 caption_loss_cls: 2.2293 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7439 detection_loss_cls: 0.0471 detection_loss_reg: 0.4229 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6115 2023/11/05 12:40:59 - mmengine - INFO - Iter(train) [269900/320000] base_lr: 1.3736e-05 lr: 6.6233e-06 eta: 1 day, 7:03:58 time: 2.3748 data_time: 0.1383 memory: 25860 grad_norm: 1.4346 loss: 1.2427 caption_loss_cls: 2.2286 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.7445 detection_loss_cls: 0.0472 detection_loss_reg: 0.4238 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6130 2023/11/05 12:44:37 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 12:44:37 - mmengine - INFO - Iter(train) [270000/320000] base_lr: 1.3690e-05 lr: 6.6053e-06 eta: 1 day, 6:59:39 time: 2.3754 data_time: 0.1384 memory: 25860 grad_norm: 1.4341 loss: 1.2497 caption_loss_cls: 2.2290 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2846 instance_segmentation_loss_poly: 0.7457 detection_loss_cls: 0.0473 detection_loss_reg: 0.4249 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6131 2023/11/05 12:44:37 - mmengine - INFO - Saving checkpoint at 270000 iterations 2023/11/05 12:49:16 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.3938 data_time: 0.0286 memory: 14021 2023/11/05 12:50:04 - mmengine - INFO - Evaluating bbox... 2023/11/05 12:51:06 - mmengine - INFO - bbox_mAP_copypaste: 0.495 0.669 0.538 0.331 0.540 0.644 2023/11/05 12:51:06 - mmengine - INFO - Evaluating segm... 2023/11/05 12:52:23 - mmengine - INFO - segm_mAP_copypaste: 0.322 0.571 0.316 0.178 0.363 0.498 2023/11/05 12:53:22 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3713 data_time: 0.0281 memory: 14021 2023/11/05 12:53:46 - mmengine - INFO - Evaluating bbox... 2023/11/05 12:54:55 - mmengine - INFO - bbox_mAP_copypaste: 0.494 0.667 0.538 0.327 0.540 0.645 2023/11/05 12:57:50 - mmengine - INFO - per class results: 2023/11/05 12:57:50 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.41 | 87.68 | | building | 81.89 | 91.19 | | sky | 93.24 | 97.21 | | floor | 80.42 | 89.12 | | tree | 73.02 | 87.89 | | ceiling | 82.08 | 93.03 | | road | 82.65 | 88.23 | | bed | 87.8 | 94.35 | | windowpane | 61.5 | 80.25 | | grass | 70.14 | 85.72 | | cabinet | 59.7 | 70.98 | | sidewalk | 64.89 | 80.27 | | person | 79.94 | 90.08 | | earth | 42.69 | 56.93 | | door | 51.22 | 67.91 | | table | 57.89 | 74.12 | | mountain | 59.1 | 72.91 | | plant | 50.95 | 65.05 | | curtain | 70.07 | 87.88 | | chair | 55.25 | 68.45 | | car | 80.29 | 91.62 | | water | 55.9 | 71.97 | | painting | 68.36 | 85.95 | | sofa | 67.13 | 80.07 | | shelf | 42.64 | 61.33 | | house | 46.77 | 67.3 | | sea | 65.42 | 86.22 | | mirror | 62.85 | 73.07 | | rug | 64.04 | 71.92 | | field | 26.22 | 35.7 | | armchair | 44.52 | 62.48 | | seat | 62.01 | 80.85 | | fence | 45.16 | 59.01 | | desk | 46.69 | 63.89 | | rock | 47.77 | 63.63 | | wardrobe | 54.47 | 67.49 | | lamp | 60.04 | 75.32 | | bathtub | 77.62 | 89.51 | | railing | 37.23 | 47.94 | | cushion | 50.96 | 63.45 | | base | 25.81 | 47.84 | | box | 26.23 | 33.05 | | column | 43.78 | 56.17 | | signboard | 37.2 | 51.09 | | chest of drawers | 36.92 | 62.78 | | counter | 30.62 | 39.95 | | sand | 59.93 | 74.44 | | sink | 69.51 | 79.76 | | skyscraper | 40.98 | 47.9 | | fireplace | 69.44 | 84.04 | | refrigerator | 73.73 | 85.59 | | grandstand | 37.24 | 76.33 | | path | 26.01 | 34.99 | | stairs | 38.64 | 48.95 | | runway | 72.91 | 93.85 | | case | 51.1 | 61.69 | | pool table | 87.67 | 95.21 | | pillow | 53.41 | 74.67 | | screen door | 67.44 | 82.21 | | stairway | 35.68 | 47.05 | | river | 22.6 | 32.34 | | bridge | 68.21 | 85.44 | | bookcase | 33.47 | 53.16 | | blind | 27.6 | 29.74 | | coffee table | 60.75 | 79.45 | | toilet | 81.1 | 89.98 | | flower | 32.28 | 46.6 | | book | 44.58 | 64.29 | | hill | 3.27 | 3.56 | | bench | 47.69 | 61.1 | | countertop | 52.54 | 75.52 | | stove | 68.56 | 83.74 | | palm | 47.22 | 59.65 | | kitchen island | 38.76 | 75.39 | | computer | 70.45 | 84.52 | | swivel chair | 37.77 | 55.53 | | boat | 70.95 | 86.42 | | bar | 36.99 | 42.76 | | arcade machine | 41.71 | 43.9 | | hovel | 33.65 | 36.7 | | bus | 91.03 | 94.87 | | towel | 57.56 | 73.28 | | light | 40.45 | 46.35 | | truck | 41.71 | 67.88 | | tower | 31.38 | 50.83 | | chandelier | 64.93 | 80.36 | | awning | 31.9 | 38.1 | | streetlight | 29.43 | 38.23 | | booth | 41.11 | 45.92 | | television receiver | 66.96 | 79.43 | | airplane | 55.5 | 64.49 | | dirt track | 3.48 | 17.41 | | apparel | 27.32 | 36.66 | | pole | 23.38 | 31.48 | | land | 0.94 | 1.21 | | bannister | 4.05 | 5.59 | | escalator | 48.35 | 72.24 | | ottoman | 46.3 | 70.44 | | bottle | 22.0 | 26.92 | | buffet | 45.71 | 53.46 | | poster | 25.58 | 34.81 | | stage | 8.32 | 14.76 | | van | 9.27 | 10.34 | | ship | 77.09 | 82.5 | | fountain | 20.67 | 21.79 | | conveyer belt | 65.61 | 94.54 | | canopy | 21.97 | 23.64 | | washer | 57.9 | 59.21 | | plaything | 28.19 | 42.28 | | swimming pool | 51.34 | 84.13 | | stool | 45.69 | 56.81 | | barrel | 21.39 | 60.51 | | basket | 29.27 | 45.96 | | waterfall | 53.17 | 60.8 | | tent | 79.81 | 97.15 | | bag | 14.19 | 16.09 | | minibike | 69.04 | 84.43 | | cradle | 72.22 | 88.52 | | oven | 40.63 | 50.2 | | ball | 44.65 | 68.2 | | food | 53.37 | 61.8 | | step | 15.58 | 18.26 | | tank | 46.22 | 54.45 | | trade name | 18.0 | 19.47 | | microwave | 82.12 | 93.82 | | pot | 36.46 | 41.35 | | animal | 65.0 | 69.64 | | bicycle | 57.23 | 78.95 | | lake | 0.0 | 0.0 | | dishwasher | 52.93 | 66.38 | | screen | 50.54 | 88.93 | | blanket | 4.07 | 4.51 | | sculpture | 49.69 | 64.48 | | hood | 49.31 | 56.32 | | sconce | 36.33 | 48.06 | | vase | 38.69 | 52.02 | | traffic light | 35.69 | 46.62 | | tray | 7.74 | 13.87 | | ashcan | 37.43 | 52.38 | | fan | 55.45 | 68.36 | | pier | 45.85 | 52.14 | | crt screen | 4.99 | 11.06 | | plate | 51.38 | 61.87 | | monitor | 10.53 | 11.63 | | bulletin board | 38.5 | 48.55 | | shower | 4.56 | 6.56 | | radiator | 53.75 | 57.51 | | glass | 15.17 | 16.19 | | clock | 22.97 | 27.51 | | flag | 67.05 | 74.42 | +---------------------+-------+-------+ 2023/11/05 12:57:57 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.4940 coco/bbox_mAP_50: 0.6670 coco/bbox_mAP_75: 0.5380 coco/bbox_mAP_s: 0.3270 coco/bbox_mAP_m: 0.5400 coco/bbox_mAP_l: 0.6450 coco/segm_mAP: 0.3220 coco/segm_mAP_50: 0.5710 coco/segm_mAP_75: 0.3160 coco/segm_mAP_s: 0.1780 coco/segm_mAP_m: 0.3630 coco/segm_mAP_l: 0.4980 Bleu_1: 0.7593 Bleu_2: 0.5921 Bleu_3: 0.4516 Bleu_4: 0.3422 METEOR: 0.2774 ROUGE_L: 0.5633 CIDEr: 1.1340 SPICE: 0.2059 aAcc: 82.6600 mIoU: 47.3800 mAcc: 59.6900 visual-grounding/miou: 0.7820 visual-grounding/acc: 0.8465 data_time: 0.0406 time: 1.0475 2023/11/05 13:01:43 - mmengine - INFO - Iter(train) [270100/320000] base_lr: 1.3644e-05 lr: 6.5872e-06 eta: 1 day, 6:56:25 time: 2.3676 data_time: 0.1237 memory: 26538 grad_norm: 1.4335 loss: 1.2484 caption_loss_cls: 2.2279 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7445 detection_loss_cls: 0.0473 detection_loss_reg: 0.4247 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6126 2023/11/05 13:05:26 - mmengine - INFO - Iter(train) [270200/320000] base_lr: 1.3599e-05 lr: 6.5692e-06 eta: 1 day, 6:52:35 time: 2.3627 data_time: 0.1237 memory: 25861 grad_norm: 1.4320 loss: 1.2511 caption_loss_cls: 2.2281 instance_segmentation_loss_cls: 0.0324 instance_segmentation_loss_reg: 0.2848 instance_segmentation_loss_poly: 0.7455 detection_loss_cls: 0.0473 detection_loss_reg: 0.4246 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6121 2023/11/05 13:09:33 - mmengine - INFO - Iter(train) [270300/320000] base_lr: 1.3553e-05 lr: 6.5513e-06 eta: 1 day, 6:51:28 time: 2.3659 data_time: 0.1237 memory: 25861 grad_norm: 1.4257 loss: 1.2488 caption_loss_cls: 2.2274 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.7445 detection_loss_cls: 0.0473 detection_loss_reg: 0.4246 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6122 2023/11/05 13:12:51 - mmengine - INFO - Iter(train) [270400/320000] base_lr: 1.3508e-05 lr: 6.5333e-06 eta: 1 day, 6:45:02 time: 2.3557 data_time: 0.1236 memory: 26538 grad_norm: 1.4363 loss: 1.2563 caption_loss_cls: 2.2301 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.7434 detection_loss_cls: 0.0473 detection_loss_reg: 0.4241 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6114 2023/11/05 13:16:19 - mmengine - INFO - Iter(train) [270500/320000] base_lr: 1.3462e-05 lr: 6.5154e-06 eta: 1 day, 6:39:44 time: 2.3492 data_time: 0.1235 memory: 26538 grad_norm: 1.4385 loss: 1.2538 caption_loss_cls: 2.2267 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7441 detection_loss_cls: 0.0472 detection_loss_reg: 0.4232 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6103 2023/11/05 13:16:19 - mmengine - INFO - Saving checkpoint at 270500 iterations 2023/11/05 13:21:15 - mmengine - INFO - Iter(train) [270600/320000] base_lr: 1.3417e-05 lr: 6.4976e-06 eta: 1 day, 6:43:26 time: 2.3529 data_time: 0.1248 memory: 25861 grad_norm: 1.4342 loss: 1.2506 caption_loss_cls: 2.2262 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.7442 detection_loss_cls: 0.0472 detection_loss_reg: 0.4227 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6105 2023/11/05 13:25:18 - mmengine - INFO - Iter(train) [270700/320000] base_lr: 1.3372e-05 lr: 6.4797e-06 eta: 1 day, 6:41:36 time: 2.3553 data_time: 0.1249 memory: 25861 grad_norm: 1.4278 loss: 1.2480 caption_loss_cls: 2.2269 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.7431 detection_loss_cls: 0.0472 detection_loss_reg: 0.4238 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6114 2023/11/05 13:29:05 - mmengine - INFO - Iter(train) [270800/320000] base_lr: 1.3326e-05 lr: 6.4619e-06 eta: 1 day, 6:38:10 time: 2.3615 data_time: 0.1249 memory: 26538 grad_norm: 1.4187 loss: 1.2391 caption_loss_cls: 2.2267 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7451 detection_loss_cls: 0.0472 detection_loss_reg: 0.4235 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6094 2023/11/05 13:32:58 - mmengine - INFO - Iter(train) [270900/320000] base_lr: 1.3281e-05 lr: 6.4442e-06 eta: 1 day, 6:35:13 time: 2.3586 data_time: 0.1244 memory: 25861 grad_norm: 1.4268 loss: 1.2382 caption_loss_cls: 2.2268 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7452 detection_loss_cls: 0.0473 detection_loss_reg: 0.4238 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6103 2023/11/05 13:36:04 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 13:36:04 - mmengine - INFO - Iter(train) [271000/320000] base_lr: 1.3236e-05 lr: 6.4264e-06 eta: 1 day, 6:27:53 time: 2.3533 data_time: 0.1244 memory: 25861 grad_norm: 1.4269 loss: 1.2370 caption_loss_cls: 2.2248 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7446 detection_loss_cls: 0.0474 detection_loss_reg: 0.4238 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6096 2023/11/05 13:36:04 - mmengine - INFO - Saving checkpoint at 271000 iterations 2023/11/05 13:40:32 - mmengine - INFO - Iter(train) [271100/320000] base_lr: 1.3191e-05 lr: 6.4087e-06 eta: 1 day, 6:28:16 time: 2.3546 data_time: 0.1245 memory: 26538 grad_norm: 1.4329 loss: 1.2448 caption_loss_cls: 2.2262 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7449 detection_loss_cls: 0.0475 detection_loss_reg: 0.4245 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6101 2023/11/05 13:44:27 - mmengine - INFO - Iter(train) [271200/320000] base_lr: 1.3147e-05 lr: 6.3911e-06 eta: 1 day, 6:25:34 time: 2.3565 data_time: 0.1246 memory: 26538 grad_norm: 1.4438 loss: 1.2488 caption_loss_cls: 2.2236 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2841 instance_segmentation_loss_poly: 0.7448 detection_loss_cls: 0.0475 detection_loss_reg: 0.4244 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6106 2023/11/05 13:48:06 - mmengine - INFO - Iter(train) [271300/320000] base_lr: 1.3102e-05 lr: 6.3734e-06 eta: 1 day, 6:21:18 time: 2.3589 data_time: 0.1247 memory: 25861 grad_norm: 1.4439 loss: 1.2473 caption_loss_cls: 2.2227 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7435 detection_loss_cls: 0.0475 detection_loss_reg: 0.4245 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6105 2023/11/05 13:51:51 - mmengine - INFO - Iter(train) [271400/320000] base_lr: 1.3057e-05 lr: 6.3558e-06 eta: 1 day, 6:17:34 time: 2.3578 data_time: 0.1246 memory: 26538 grad_norm: 1.4459 loss: 1.2464 caption_loss_cls: 2.2211 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.7427 detection_loss_cls: 0.0474 detection_loss_reg: 0.4241 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6100 2023/11/05 13:55:07 - mmengine - INFO - Iter(train) [271500/320000] base_lr: 1.3012e-05 lr: 6.3383e-06 eta: 1 day, 6:11:18 time: 2.3505 data_time: 0.1245 memory: 26538 grad_norm: 1.4390 loss: 1.2443 caption_loss_cls: 2.2191 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.7430 detection_loss_cls: 0.0474 detection_loss_reg: 0.4242 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6099 2023/11/05 13:55:07 - mmengine - INFO - Saving checkpoint at 271500 iterations 2023/11/05 13:59:28 - mmengine - INFO - Iter(train) [271600/320000] base_lr: 1.2968e-05 lr: 6.3207e-06 eta: 1 day, 6:10:53 time: 2.3362 data_time: 0.1255 memory: 26538 grad_norm: 1.4408 loss: 1.2489 caption_loss_cls: 2.2184 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7443 detection_loss_cls: 0.0474 detection_loss_reg: 0.4246 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6100 2023/11/05 14:03:34 - mmengine - INFO - Iter(train) [271700/320000] base_lr: 1.2924e-05 lr: 6.3032e-06 eta: 1 day, 6:08:59 time: 2.3418 data_time: 0.1257 memory: 25861 grad_norm: 1.4272 loss: 1.2460 caption_loss_cls: 2.2213 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.7447 detection_loss_cls: 0.0473 detection_loss_reg: 0.4248 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6120 2023/11/05 14:07:06 - mmengine - INFO - Iter(train) [271800/320000] base_lr: 1.2879e-05 lr: 6.2858e-06 eta: 1 day, 6:04:09 time: 2.3351 data_time: 0.1256 memory: 25861 grad_norm: 1.4309 loss: 1.2433 caption_loss_cls: 2.2207 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2835 instance_segmentation_loss_poly: 0.7439 detection_loss_cls: 0.0472 detection_loss_reg: 0.4244 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6141 2023/11/05 14:11:09 - mmengine - INFO - Iter(train) [271900/320000] base_lr: 1.2835e-05 lr: 6.2683e-06 eta: 1 day, 6:01:55 time: 2.3380 data_time: 0.1257 memory: 26538 grad_norm: 1.4329 loss: 1.2449 caption_loss_cls: 2.2195 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7450 detection_loss_cls: 0.0472 detection_loss_reg: 0.4239 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6138 2023/11/05 14:14:52 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 14:14:52 - mmengine - INFO - Iter(train) [272000/320000] base_lr: 1.2791e-05 lr: 6.2509e-06 eta: 1 day, 5:58:05 time: 2.3370 data_time: 0.1256 memory: 25861 grad_norm: 1.4331 loss: 1.2477 caption_loss_cls: 2.2221 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7451 detection_loss_cls: 0.0471 detection_loss_reg: 0.4242 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6133 2023/11/05 14:14:52 - mmengine - INFO - Saving checkpoint at 272000 iterations 2023/11/05 14:19:05 - mmengine - INFO - Iter(train) [272100/320000] base_lr: 1.2747e-05 lr: 6.2336e-06 eta: 1 day, 5:56:39 time: 2.3249 data_time: 0.1255 memory: 26538 grad_norm: 1.4415 loss: 1.2517 caption_loss_cls: 2.2225 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7449 detection_loss_cls: 0.0471 detection_loss_reg: 0.4242 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6120 2023/11/05 14:22:43 - mmengine - INFO - Iter(train) [272200/320000] base_lr: 1.2703e-05 lr: 6.2162e-06 eta: 1 day, 5:52:19 time: 2.3249 data_time: 0.1255 memory: 25861 grad_norm: 1.4292 loss: 1.2518 caption_loss_cls: 2.2229 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7458 detection_loss_cls: 0.0473 detection_loss_reg: 0.4244 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6099 2023/11/05 14:26:34 - mmengine - INFO - Iter(train) [272300/320000] base_lr: 1.2659e-05 lr: 6.1989e-06 eta: 1 day, 5:49:01 time: 2.3258 data_time: 0.1255 memory: 25861 grad_norm: 1.4330 loss: 1.2568 caption_loss_cls: 2.2205 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2845 instance_segmentation_loss_poly: 0.7465 detection_loss_cls: 0.0472 detection_loss_reg: 0.4237 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6112 2023/11/05 14:30:03 - mmengine - INFO - Iter(train) [272400/320000] base_lr: 1.2615e-05 lr: 6.1817e-06 eta: 1 day, 5:44:03 time: 2.3188 data_time: 0.1255 memory: 26538 grad_norm: 1.4355 loss: 1.2614 caption_loss_cls: 2.2196 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7462 detection_loss_cls: 0.0474 detection_loss_reg: 0.4251 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6118 2023/11/05 14:33:32 - mmengine - INFO - Iter(train) [272500/320000] base_lr: 1.2571e-05 lr: 6.1644e-06 eta: 1 day, 5:39:02 time: 2.3139 data_time: 0.1255 memory: 25861 grad_norm: 1.4341 loss: 1.2559 caption_loss_cls: 2.2190 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.7453 detection_loss_cls: 0.0473 detection_loss_reg: 0.4252 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6112 2023/11/05 14:33:32 - mmengine - INFO - Saving checkpoint at 272500 iterations 2023/11/05 14:38:18 - mmengine - INFO - Iter(train) [272600/320000] base_lr: 1.2528e-05 lr: 6.1472e-06 eta: 1 day, 5:40:01 time: 2.3117 data_time: 0.1258 memory: 26538 grad_norm: 1.4409 loss: 1.2576 caption_loss_cls: 2.2183 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.7447 detection_loss_cls: 0.0473 detection_loss_reg: 0.4254 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6102 2023/11/05 14:41:55 - mmengine - INFO - Iter(train) [272700/320000] base_lr: 1.2484e-05 lr: 6.1301e-06 eta: 1 day, 5:35:37 time: 2.3108 data_time: 0.1258 memory: 25861 grad_norm: 1.4364 loss: 1.2538 caption_loss_cls: 2.2195 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.7448 detection_loss_cls: 0.0473 detection_loss_reg: 0.4253 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6089 2023/11/05 14:45:12 - mmengine - INFO - Iter(train) [272800/320000] base_lr: 1.2441e-05 lr: 6.1129e-06 eta: 1 day, 5:29:44 time: 2.3076 data_time: 0.1258 memory: 25861 grad_norm: 1.4363 loss: 1.2526 caption_loss_cls: 2.2207 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2840 instance_segmentation_loss_poly: 0.7449 detection_loss_cls: 0.0474 detection_loss_reg: 0.4254 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6091 2023/11/05 14:48:22 - mmengine - INFO - Iter(train) [272900/320000] base_lr: 1.2397e-05 lr: 6.0958e-06 eta: 1 day, 5:23:22 time: 2.3024 data_time: 0.1259 memory: 26538 grad_norm: 1.4347 loss: 1.2511 caption_loss_cls: 2.2226 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7447 detection_loss_cls: 0.0474 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6098 2023/11/05 14:51:08 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 14:51:08 - mmengine - INFO - Iter(train) [273000/320000] base_lr: 1.2354e-05 lr: 6.0788e-06 eta: 1 day, 5:15:15 time: 2.2853 data_time: 0.1258 memory: 25861 grad_norm: 1.4487 loss: 1.2593 caption_loss_cls: 2.2252 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7437 detection_loss_cls: 0.0474 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6119 2023/11/05 14:51:08 - mmengine - INFO - Saving checkpoint at 273000 iterations 2023/11/05 14:56:14 - mmengine - INFO - Iter(train) [273100/320000] base_lr: 1.2311e-05 lr: 6.0617e-06 eta: 1 day, 5:17:29 time: 2.2938 data_time: 0.1270 memory: 26538 grad_norm: 1.4488 loss: 1.2621 caption_loss_cls: 2.2260 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2837 instance_segmentation_loss_poly: 0.7436 detection_loss_cls: 0.0474 detection_loss_reg: 0.4251 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6099 2023/11/05 14:59:43 - mmengine - INFO - Iter(train) [273200/320000] base_lr: 1.2267e-05 lr: 6.0447e-06 eta: 1 day, 5:12:38 time: 2.2871 data_time: 0.1270 memory: 26538 grad_norm: 1.4557 loss: 1.2635 caption_loss_cls: 2.2281 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2842 instance_segmentation_loss_poly: 0.7442 detection_loss_cls: 0.0473 detection_loss_reg: 0.4251 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6094 2023/11/05 15:03:40 - mmengine - INFO - Iter(train) [273300/320000] base_lr: 1.2224e-05 lr: 6.0278e-06 eta: 1 day, 5:09:43 time: 2.2875 data_time: 0.1271 memory: 26538 grad_norm: 1.4501 loss: 1.2649 caption_loss_cls: 2.2288 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2845 instance_segmentation_loss_poly: 0.7443 detection_loss_cls: 0.0474 detection_loss_reg: 0.4252 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6100 2023/11/05 15:07:55 - mmengine - INFO - Iter(train) [273400/320000] base_lr: 1.2181e-05 lr: 6.0109e-06 eta: 1 day, 5:08:07 time: 2.2969 data_time: 0.1272 memory: 25861 grad_norm: 1.4493 loss: 1.2629 caption_loss_cls: 2.2305 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7428 detection_loss_cls: 0.0475 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6084 2023/11/05 15:11:02 - mmengine - INFO - Iter(train) [273500/320000] base_lr: 1.2139e-05 lr: 5.9940e-06 eta: 1 day, 5:01:42 time: 2.2934 data_time: 0.1271 memory: 26538 grad_norm: 1.4481 loss: 1.2600 caption_loss_cls: 2.2279 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7437 detection_loss_cls: 0.0476 detection_loss_reg: 0.4254 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6069 2023/11/05 15:11:02 - mmengine - INFO - Saving checkpoint at 273500 iterations 2023/11/05 15:15:19 - mmengine - INFO - Iter(train) [273600/320000] base_lr: 1.2096e-05 lr: 5.9771e-06 eta: 1 day, 5:00:14 time: 2.2860 data_time: 0.1270 memory: 25861 grad_norm: 1.4472 loss: 1.2616 caption_loss_cls: 2.2258 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7437 detection_loss_cls: 0.0477 detection_loss_reg: 0.4256 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6080 2023/11/05 15:18:44 - mmengine - INFO - Iter(train) [273700/320000] base_lr: 1.2053e-05 lr: 5.9603e-06 eta: 1 day, 4:55:05 time: 2.2844 data_time: 0.1271 memory: 26538 grad_norm: 1.4558 loss: 1.2709 caption_loss_cls: 2.2292 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2848 instance_segmentation_loss_poly: 0.7446 detection_loss_cls: 0.0478 detection_loss_reg: 0.4268 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.6079 2023/11/05 15:21:59 - mmengine - INFO - Iter(train) [273800/320000] base_lr: 1.2010e-05 lr: 5.9435e-06 eta: 1 day, 4:49:18 time: 2.2757 data_time: 0.1270 memory: 25861 grad_norm: 1.4607 loss: 1.2726 caption_loss_cls: 2.2285 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.7444 detection_loss_cls: 0.0477 detection_loss_reg: 0.4271 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6073 2023/11/05 15:25:56 - mmengine - INFO - Iter(train) [273900/320000] base_lr: 1.1968e-05 lr: 5.9267e-06 eta: 1 day, 4:46:24 time: 2.2741 data_time: 0.1271 memory: 26538 grad_norm: 1.4531 loss: 1.2679 caption_loss_cls: 2.2269 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7443 detection_loss_cls: 0.0477 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6072 2023/11/05 15:29:08 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 15:29:08 - mmengine - INFO - Iter(train) [274000/320000] base_lr: 1.1925e-05 lr: 5.9100e-06 eta: 1 day, 4:40:28 time: 2.2676 data_time: 0.1270 memory: 26538 grad_norm: 1.4545 loss: 1.2643 caption_loss_cls: 2.2257 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.7452 detection_loss_cls: 0.0477 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6074 2023/11/05 15:29:08 - mmengine - INFO - Saving checkpoint at 274000 iterations 2023/11/05 15:34:00 - mmengine - INFO - Iter(train) [274100/320000] base_lr: 1.1883e-05 lr: 5.8933e-06 eta: 1 day, 4:41:09 time: 2.2836 data_time: 0.1417 memory: 25861 grad_norm: 1.4473 loss: 1.2647 caption_loss_cls: 2.2283 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2846 instance_segmentation_loss_poly: 0.7445 detection_loss_cls: 0.0478 detection_loss_reg: 0.4278 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6058 2023/11/05 15:38:17 - mmengine - INFO - Iter(train) [274200/320000] base_lr: 1.1841e-05 lr: 5.8766e-06 eta: 1 day, 4:39:31 time: 2.2923 data_time: 0.1420 memory: 26538 grad_norm: 1.4389 loss: 1.2631 caption_loss_cls: 2.2276 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2853 instance_segmentation_loss_poly: 0.7461 detection_loss_cls: 0.0478 detection_loss_reg: 0.4286 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6053 2023/11/05 15:42:09 - mmengine - INFO - Iter(train) [274300/320000] base_lr: 1.1798e-05 lr: 5.8600e-06 eta: 1 day, 4:36:11 time: 2.2884 data_time: 0.1419 memory: 26538 grad_norm: 1.4441 loss: 1.2681 caption_loss_cls: 2.2270 instance_segmentation_loss_cls: 0.0323 instance_segmentation_loss_reg: 0.2856 instance_segmentation_loss_poly: 0.7467 detection_loss_cls: 0.0478 detection_loss_reg: 0.4283 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6029 2023/11/05 15:46:02 - mmengine - INFO - Iter(train) [274400/320000] base_lr: 1.1756e-05 lr: 5.8434e-06 eta: 1 day, 4:32:55 time: 2.2972 data_time: 0.1421 memory: 25861 grad_norm: 1.4321 loss: 1.2602 caption_loss_cls: 2.2261 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7468 detection_loss_cls: 0.0478 detection_loss_reg: 0.4283 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6031 2023/11/05 15:49:29 - mmengine - INFO - Iter(train) [274500/320000] base_lr: 1.1714e-05 lr: 5.8269e-06 eta: 1 day, 4:27:58 time: 2.2969 data_time: 0.1422 memory: 25861 grad_norm: 1.4294 loss: 1.2581 caption_loss_cls: 2.2255 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7464 detection_loss_cls: 0.0478 detection_loss_reg: 0.4281 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6046 2023/11/05 15:49:29 - mmengine - INFO - Saving checkpoint at 274500 iterations 2023/11/05 15:53:56 - mmengine - INFO - Iter(train) [274600/320000] base_lr: 1.1672e-05 lr: 5.8103e-06 eta: 1 day, 4:26:50 time: 2.2896 data_time: 0.1422 memory: 25861 grad_norm: 1.4432 loss: 1.2628 caption_loss_cls: 2.2261 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7472 detection_loss_cls: 0.0479 detection_loss_reg: 0.4288 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6042 2023/11/05 15:57:17 - mmengine - INFO - Iter(train) [274700/320000] base_lr: 1.1631e-05 lr: 5.7938e-06 eta: 1 day, 4:21:33 time: 2.2792 data_time: 0.1421 memory: 25861 grad_norm: 1.4555 loss: 1.2694 caption_loss_cls: 2.2261 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2859 instance_segmentation_loss_poly: 0.7472 detection_loss_cls: 0.0479 detection_loss_reg: 0.4289 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6055 2023/11/05 16:00:42 - mmengine - INFO - Iter(train) [274800/320000] base_lr: 1.1589e-05 lr: 5.7774e-06 eta: 1 day, 4:16:35 time: 2.2737 data_time: 0.1420 memory: 25861 grad_norm: 1.4620 loss: 1.2736 caption_loss_cls: 2.2252 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2856 instance_segmentation_loss_poly: 0.7469 detection_loss_cls: 0.0479 detection_loss_reg: 0.4288 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6049 2023/11/05 16:04:14 - mmengine - INFO - Iter(train) [274900/320000] base_lr: 1.1547e-05 lr: 5.7610e-06 eta: 1 day, 4:12:00 time: 2.2686 data_time: 0.1420 memory: 25861 grad_norm: 1.4671 loss: 1.2749 caption_loss_cls: 2.2275 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7469 detection_loss_cls: 0.0480 detection_loss_reg: 0.4295 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6039 2023/11/05 16:07:47 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 16:07:47 - mmengine - INFO - Iter(train) [275000/320000] base_lr: 1.1505e-05 lr: 5.7446e-06 eta: 1 day, 4:07:30 time: 2.2750 data_time: 0.1421 memory: 25861 grad_norm: 1.4651 loss: 1.2785 caption_loss_cls: 2.2261 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7476 detection_loss_cls: 0.0480 detection_loss_reg: 0.4298 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6043 2023/11/05 16:07:47 - mmengine - INFO - Saving checkpoint at 275000 iterations 2023/11/05 16:12:02 - mmengine - INFO - Iter(train) [275100/320000] base_lr: 1.1464e-05 lr: 5.7282e-06 eta: 1 day, 4:05:34 time: 2.2721 data_time: 0.1426 memory: 26538 grad_norm: 1.4622 loss: 1.2767 caption_loss_cls: 2.2261 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2862 instance_segmentation_loss_poly: 0.7479 detection_loss_cls: 0.0480 detection_loss_reg: 0.4298 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6038 2023/11/05 16:15:43 - mmengine - INFO - Iter(train) [275200/320000] base_lr: 1.1423e-05 lr: 5.7119e-06 eta: 1 day, 4:01:32 time: 2.2684 data_time: 0.1426 memory: 26538 grad_norm: 1.4582 loss: 1.2771 caption_loss_cls: 2.2240 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2866 instance_segmentation_loss_poly: 0.7493 detection_loss_cls: 0.0479 detection_loss_reg: 0.4301 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6039 2023/11/05 16:19:10 - mmengine - INFO - Iter(train) [275300/320000] base_lr: 1.1381e-05 lr: 5.6956e-06 eta: 1 day, 3:56:43 time: 2.2654 data_time: 0.1427 memory: 26538 grad_norm: 1.4605 loss: 1.2809 caption_loss_cls: 2.2247 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2870 instance_segmentation_loss_poly: 0.7509 detection_loss_cls: 0.0479 detection_loss_reg: 0.4303 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6033 2023/11/05 16:22:26 - mmengine - INFO - Iter(train) [275400/320000] base_lr: 1.1340e-05 lr: 5.6794e-06 eta: 1 day, 3:51:18 time: 2.2584 data_time: 0.1427 memory: 25861 grad_norm: 1.4636 loss: 1.2887 caption_loss_cls: 2.2246 instance_segmentation_loss_cls: 0.0322 instance_segmentation_loss_reg: 0.2876 instance_segmentation_loss_poly: 0.7530 detection_loss_cls: 0.0478 detection_loss_reg: 0.4299 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6029 2023/11/05 16:26:15 - mmengine - INFO - Iter(train) [275500/320000] base_lr: 1.1299e-05 lr: 5.6632e-06 eta: 1 day, 3:47:47 time: 2.2666 data_time: 0.1428 memory: 26538 grad_norm: 1.4617 loss: 1.2898 caption_loss_cls: 2.2253 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.7524 detection_loss_cls: 0.0478 detection_loss_reg: 0.4301 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6044 2023/11/05 16:26:15 - mmengine - INFO - Saving checkpoint at 275500 iterations 2023/11/05 16:30:27 - mmengine - INFO - Iter(train) [275600/320000] base_lr: 1.1258e-05 lr: 5.6470e-06 eta: 1 day, 3:45:34 time: 2.2642 data_time: 0.1421 memory: 26538 grad_norm: 1.4596 loss: 1.2892 caption_loss_cls: 2.2253 instance_segmentation_loss_cls: 0.0321 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.7524 detection_loss_cls: 0.0478 detection_loss_reg: 0.4300 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6036 2023/11/05 16:33:49 - mmengine - INFO - Iter(train) [275700/320000] base_lr: 1.1217e-05 lr: 5.6308e-06 eta: 1 day, 3:40:32 time: 2.2533 data_time: 0.1419 memory: 25861 grad_norm: 1.4717 loss: 1.2912 caption_loss_cls: 2.2227 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.7518 detection_loss_cls: 0.0477 detection_loss_reg: 0.4302 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6028 2023/11/05 16:37:25 - mmengine - INFO - Iter(train) [275800/320000] base_lr: 1.1176e-05 lr: 5.6147e-06 eta: 1 day, 3:36:17 time: 2.2542 data_time: 0.1420 memory: 26538 grad_norm: 1.4776 loss: 1.2988 caption_loss_cls: 2.2211 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2866 instance_segmentation_loss_poly: 0.7516 detection_loss_cls: 0.0479 detection_loss_reg: 0.4312 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6024 2023/11/05 16:41:13 - mmengine - INFO - Iter(train) [275900/320000] base_lr: 1.1135e-05 lr: 5.5986e-06 eta: 1 day, 3:32:43 time: 2.2506 data_time: 0.1419 memory: 26538 grad_norm: 1.4831 loss: 1.2998 caption_loss_cls: 2.2211 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2869 instance_segmentation_loss_poly: 0.7517 detection_loss_cls: 0.0479 detection_loss_reg: 0.4316 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6022 2023/11/05 16:44:55 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 16:44:55 - mmengine - INFO - Iter(train) [276000/320000] base_lr: 1.1094e-05 lr: 5.5826e-06 eta: 1 day, 3:28:49 time: 2.2502 data_time: 0.1420 memory: 25861 grad_norm: 1.4886 loss: 1.3034 caption_loss_cls: 2.2226 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.7527 detection_loss_cls: 0.0479 detection_loss_reg: 0.4316 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5998 2023/11/05 16:44:55 - mmengine - INFO - Saving checkpoint at 276000 iterations 2023/11/05 16:49:51 - mmengine - INFO - Iter(train) [276100/320000] base_lr: 1.1054e-05 lr: 5.5666e-06 eta: 1 day, 3:28:52 time: 2.2610 data_time: 0.1420 memory: 25861 grad_norm: 1.4785 loss: 1.3021 caption_loss_cls: 2.2247 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.7520 detection_loss_cls: 0.0480 detection_loss_reg: 0.4328 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6007 2023/11/05 16:53:55 - mmengine - INFO - Iter(train) [276200/320000] base_lr: 1.1013e-05 lr: 5.5506e-06 eta: 1 day, 3:26:05 time: 2.2674 data_time: 0.1422 memory: 25861 grad_norm: 1.4742 loss: 1.3017 caption_loss_cls: 2.2251 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7508 detection_loss_cls: 0.0480 detection_loss_reg: 0.4329 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.6011 2023/11/05 16:57:35 - mmengine - INFO - Iter(train) [276300/320000] base_lr: 1.0973e-05 lr: 5.5346e-06 eta: 1 day, 3:22:04 time: 2.2649 data_time: 0.1422 memory: 25861 grad_norm: 1.4769 loss: 1.3001 caption_loss_cls: 2.2229 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2864 instance_segmentation_loss_poly: 0.7509 detection_loss_cls: 0.0480 detection_loss_reg: 0.4326 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5990 2023/11/05 17:01:33 - mmengine - INFO - Iter(train) [276400/320000] base_lr: 1.0932e-05 lr: 5.5187e-06 eta: 1 day, 3:18:57 time: 2.2719 data_time: 0.1422 memory: 26538 grad_norm: 1.4777 loss: 1.2938 caption_loss_cls: 2.2242 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7502 detection_loss_cls: 0.0479 detection_loss_reg: 0.4324 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5975 2023/11/05 17:05:05 - mmengine - INFO - Iter(train) [276500/320000] base_lr: 1.0892e-05 lr: 5.5029e-06 eta: 1 day, 3:14:30 time: 2.2727 data_time: 0.1422 memory: 26538 grad_norm: 1.4812 loss: 1.2968 caption_loss_cls: 2.2234 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2856 instance_segmentation_loss_poly: 0.7494 detection_loss_cls: 0.0480 detection_loss_reg: 0.4326 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5971 2023/11/05 17:05:05 - mmengine - INFO - Saving checkpoint at 276500 iterations 2023/11/05 17:09:23 - mmengine - INFO - Iter(train) [276600/320000] base_lr: 1.0852e-05 lr: 5.4870e-06 eta: 1 day, 3:12:23 time: 2.2658 data_time: 0.1416 memory: 26538 grad_norm: 1.4850 loss: 1.2973 caption_loss_cls: 2.2236 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.7482 detection_loss_cls: 0.0481 detection_loss_reg: 0.4335 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5968 2023/11/05 17:13:05 - mmengine - INFO - Iter(train) [276700/320000] base_lr: 1.0812e-05 lr: 5.4712e-06 eta: 1 day, 3:08:25 time: 2.2669 data_time: 0.1416 memory: 25861 grad_norm: 1.4869 loss: 1.3011 caption_loss_cls: 2.2242 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2850 instance_segmentation_loss_poly: 0.7488 detection_loss_cls: 0.0481 detection_loss_reg: 0.4337 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5967 2023/11/05 17:16:38 - mmengine - INFO - Iter(train) [276800/320000] base_lr: 1.0771e-05 lr: 5.4554e-06 eta: 1 day, 3:04:04 time: 2.2710 data_time: 0.1416 memory: 25861 grad_norm: 1.4890 loss: 1.3043 caption_loss_cls: 2.2244 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.7492 detection_loss_cls: 0.0482 detection_loss_reg: 0.4339 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5971 2023/11/05 17:20:36 - mmengine - INFO - Iter(train) [276900/320000] base_lr: 1.0732e-05 lr: 5.4397e-06 eta: 1 day, 3:00:54 time: 2.2829 data_time: 0.1417 memory: 25861 grad_norm: 1.4825 loss: 1.3019 caption_loss_cls: 2.2224 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2850 instance_segmentation_loss_poly: 0.7490 detection_loss_cls: 0.0481 detection_loss_reg: 0.4341 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5985 2023/11/05 17:23:53 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 17:23:53 - mmengine - INFO - Iter(train) [277000/320000] base_lr: 1.0692e-05 lr: 5.4240e-06 eta: 1 day, 2:55:44 time: 2.2907 data_time: 0.1418 memory: 25861 grad_norm: 1.4747 loss: 1.3029 caption_loss_cls: 2.2229 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7505 detection_loss_cls: 0.0479 detection_loss_reg: 0.4331 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5984 2023/11/05 17:23:53 - mmengine - INFO - Saving checkpoint at 277000 iterations 2023/11/05 17:28:23 - mmengine - INFO - Iter(train) [277100/320000] base_lr: 1.0652e-05 lr: 5.4083e-06 eta: 1 day, 2:54:09 time: 2.2819 data_time: 0.1413 memory: 26538 grad_norm: 1.4740 loss: 1.3070 caption_loss_cls: 2.2239 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7505 detection_loss_cls: 0.0478 detection_loss_reg: 0.4321 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5989 2023/11/05 17:32:10 - mmengine - INFO - Iter(train) [277200/320000] base_lr: 1.0612e-05 lr: 5.3927e-06 eta: 1 day, 2:50:28 time: 2.2863 data_time: 0.1413 memory: 26538 grad_norm: 1.4760 loss: 1.3028 caption_loss_cls: 2.2236 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2860 instance_segmentation_loss_poly: 0.7510 detection_loss_cls: 0.0478 detection_loss_reg: 0.4320 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5974 2023/11/05 17:36:08 - mmengine - INFO - Iter(train) [277300/320000] base_lr: 1.0573e-05 lr: 5.3771e-06 eta: 1 day, 2:47:16 time: 2.2866 data_time: 0.1413 memory: 25861 grad_norm: 1.4843 loss: 1.3011 caption_loss_cls: 2.2234 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7504 detection_loss_cls: 0.0476 detection_loss_reg: 0.4311 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5960 2023/11/05 17:40:03 - mmengine - INFO - Iter(train) [277400/320000] base_lr: 1.0533e-05 lr: 5.3615e-06 eta: 1 day, 2:43:55 time: 2.2815 data_time: 0.1412 memory: 26538 grad_norm: 1.4866 loss: 1.3004 caption_loss_cls: 2.2202 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2852 instance_segmentation_loss_poly: 0.7499 detection_loss_cls: 0.0474 detection_loss_reg: 0.4303 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5934 2023/11/05 17:43:52 - mmengine - INFO - Iter(train) [277500/320000] base_lr: 1.0494e-05 lr: 5.3460e-06 eta: 1 day, 2:40:18 time: 2.2920 data_time: 0.1413 memory: 26538 grad_norm: 1.4783 loss: 1.2992 caption_loss_cls: 2.2217 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2852 instance_segmentation_loss_poly: 0.7498 detection_loss_cls: 0.0472 detection_loss_reg: 0.4299 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5924 2023/11/05 17:43:52 - mmengine - INFO - Saving checkpoint at 277500 iterations 2023/11/05 17:48:22 - mmengine - INFO - Iter(train) [277600/320000] base_lr: 1.0454e-05 lr: 5.3305e-06 eta: 1 day, 2:38:35 time: 2.2951 data_time: 0.1420 memory: 26538 grad_norm: 1.4690 loss: 1.2965 caption_loss_cls: 2.2207 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2854 instance_segmentation_loss_poly: 0.7499 detection_loss_cls: 0.0471 detection_loss_reg: 0.4299 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5921 2023/11/05 17:52:06 - mmengine - INFO - Iter(train) [277700/320000] base_lr: 1.0415e-05 lr: 5.3150e-06 eta: 1 day, 2:34:45 time: 2.3000 data_time: 0.1420 memory: 25861 grad_norm: 1.4620 loss: 1.2885 caption_loss_cls: 2.2185 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7508 detection_loss_cls: 0.0471 detection_loss_reg: 0.4296 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5918 2023/11/05 17:56:14 - mmengine - INFO - Iter(train) [277800/320000] base_lr: 1.0376e-05 lr: 5.2996e-06 eta: 1 day, 2:31:59 time: 2.3133 data_time: 0.1422 memory: 26538 grad_norm: 1.4536 loss: 1.2815 caption_loss_cls: 2.2153 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7512 detection_loss_cls: 0.0471 detection_loss_reg: 0.4293 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5919 2023/11/05 17:59:58 - mmengine - INFO - Iter(train) [277900/320000] base_lr: 1.0337e-05 lr: 5.2842e-06 eta: 1 day, 2:28:04 time: 2.3098 data_time: 0.1422 memory: 26538 grad_norm: 1.4631 loss: 1.2904 caption_loss_cls: 2.2137 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7511 detection_loss_cls: 0.0470 detection_loss_reg: 0.4292 semantic_segmentation_loss_cls: 0.0110 grounding_loss_reg: 2.5919 2023/11/05 18:03:23 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 18:03:23 - mmengine - INFO - Iter(train) [278000/320000] base_lr: 1.0298e-05 lr: 5.2688e-06 eta: 1 day, 2:23:21 time: 2.3133 data_time: 0.1423 memory: 26538 grad_norm: 1.4541 loss: 1.2865 caption_loss_cls: 2.2129 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7503 detection_loss_cls: 0.0470 detection_loss_reg: 0.4289 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5927 2023/11/05 18:03:23 - mmengine - INFO - Saving checkpoint at 278000 iterations 2023/11/05 18:07:46 - mmengine - INFO - Iter(train) [278100/320000] base_lr: 1.0259e-05 lr: 5.2535e-06 eta: 1 day, 2:21:13 time: 2.3061 data_time: 0.1422 memory: 26538 grad_norm: 1.4677 loss: 1.2962 caption_loss_cls: 2.2132 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7506 detection_loss_cls: 0.0472 detection_loss_reg: 0.4294 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5908 2023/11/05 18:11:19 - mmengine - INFO - Iter(train) [278200/320000] base_lr: 1.0220e-05 lr: 5.2382e-06 eta: 1 day, 2:16:49 time: 2.2948 data_time: 0.1421 memory: 26538 grad_norm: 1.4809 loss: 1.2976 caption_loss_cls: 2.2138 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7506 detection_loss_cls: 0.0472 detection_loss_reg: 0.4300 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5893 2023/11/05 18:14:46 - mmengine - INFO - Iter(train) [278300/320000] base_lr: 1.0181e-05 lr: 5.2229e-06 eta: 1 day, 2:12:13 time: 2.2887 data_time: 0.1421 memory: 26538 grad_norm: 1.4799 loss: 1.2982 caption_loss_cls: 2.2142 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2867 instance_segmentation_loss_poly: 0.7520 detection_loss_cls: 0.0472 detection_loss_reg: 0.4303 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5891 2023/11/05 18:18:20 - mmengine - INFO - Iter(train) [278400/320000] base_lr: 1.0143e-05 lr: 5.2077e-06 eta: 1 day, 2:07:55 time: 2.2840 data_time: 0.1420 memory: 26538 grad_norm: 1.4835 loss: 1.3005 caption_loss_cls: 2.2150 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7509 detection_loss_cls: 0.0473 detection_loss_reg: 0.4308 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5890 2023/11/05 18:21:48 - mmengine - INFO - Iter(train) [278500/320000] base_lr: 1.0104e-05 lr: 5.1925e-06 eta: 1 day, 2:03:21 time: 2.2843 data_time: 0.1420 memory: 25861 grad_norm: 1.4840 loss: 1.3028 caption_loss_cls: 2.2141 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2868 instance_segmentation_loss_poly: 0.7521 detection_loss_cls: 0.0472 detection_loss_reg: 0.4306 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5879 2023/11/05 18:21:48 - mmengine - INFO - Saving checkpoint at 278500 iterations 2023/11/05 18:26:29 - mmengine - INFO - Iter(train) [278600/320000] base_lr: 1.0066e-05 lr: 5.1774e-06 eta: 1 day, 2:01:56 time: 2.2877 data_time: 0.1415 memory: 25861 grad_norm: 1.4795 loss: 1.3037 caption_loss_cls: 2.2138 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.7526 detection_loss_cls: 0.0471 detection_loss_reg: 0.4295 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5891 2023/11/05 18:30:03 - mmengine - INFO - Iter(train) [278700/320000] base_lr: 1.0027e-05 lr: 5.1623e-06 eta: 1 day, 1:57:38 time: 2.2909 data_time: 0.1416 memory: 25861 grad_norm: 1.4742 loss: 1.2979 caption_loss_cls: 2.2140 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2871 instance_segmentation_loss_poly: 0.7521 detection_loss_cls: 0.0470 detection_loss_reg: 0.4295 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5883 2023/11/05 18:33:37 - mmengine - INFO - Iter(train) [278800/320000] base_lr: 9.9890e-06 lr: 5.1472e-06 eta: 1 day, 1:53:20 time: 2.2931 data_time: 0.1416 memory: 26538 grad_norm: 1.4812 loss: 1.2998 caption_loss_cls: 2.2138 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2872 instance_segmentation_loss_poly: 0.7524 detection_loss_cls: 0.0470 detection_loss_reg: 0.4292 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5884 2023/11/05 18:37:19 - mmengine - INFO - Iter(train) [278900/320000] base_lr: 9.9508e-06 lr: 5.1321e-06 eta: 1 day, 1:49:25 time: 2.2958 data_time: 0.1416 memory: 25861 grad_norm: 1.4828 loss: 1.2962 caption_loss_cls: 2.2141 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2869 instance_segmentation_loss_poly: 0.7522 detection_loss_cls: 0.0471 detection_loss_reg: 0.4296 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5871 2023/11/05 18:40:50 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 18:40:50 - mmengine - INFO - Iter(train) [279000/320000] base_lr: 9.9127e-06 lr: 5.1171e-06 eta: 1 day, 1:44:58 time: 2.2951 data_time: 0.1416 memory: 26538 grad_norm: 1.4889 loss: 1.2915 caption_loss_cls: 2.2130 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2865 instance_segmentation_loss_poly: 0.7510 detection_loss_cls: 0.0470 detection_loss_reg: 0.4302 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5869 2023/11/05 18:40:50 - mmengine - INFO - Saving checkpoint at 279000 iterations 2023/11/05 18:45:13 - mmengine - INFO - Iter(train) [279100/320000] base_lr: 9.8746e-06 lr: 5.1021e-06 eta: 1 day, 1:42:45 time: 2.2972 data_time: 0.1410 memory: 25861 grad_norm: 1.4935 loss: 1.2884 caption_loss_cls: 2.2135 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2860 instance_segmentation_loss_poly: 0.7495 detection_loss_cls: 0.0469 detection_loss_reg: 0.4297 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5864 2023/11/05 18:49:04 - mmengine - INFO - Iter(train) [279200/320000] base_lr: 9.8367e-06 lr: 5.0872e-06 eta: 1 day, 1:39:09 time: 2.2997 data_time: 0.1409 memory: 26538 grad_norm: 1.5080 loss: 1.2885 caption_loss_cls: 2.2124 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7501 detection_loss_cls: 0.0469 detection_loss_reg: 0.4305 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5845 2023/11/05 18:52:23 - mmengine - INFO - Iter(train) [279300/320000] base_lr: 9.7988e-06 lr: 5.0723e-06 eta: 1 day, 1:34:18 time: 2.2979 data_time: 0.1408 memory: 26538 grad_norm: 1.5077 loss: 1.2857 caption_loss_cls: 2.2124 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7504 detection_loss_cls: 0.0469 detection_loss_reg: 0.4311 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5824 2023/11/05 18:55:55 - mmengine - INFO - Iter(train) [279400/320000] base_lr: 9.7611e-06 lr: 5.0574e-06 eta: 1 day, 1:29:56 time: 2.3016 data_time: 0.1407 memory: 26538 grad_norm: 1.5014 loss: 1.2726 caption_loss_cls: 2.2109 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7501 detection_loss_cls: 0.0470 detection_loss_reg: 0.4314 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5822 2023/11/05 18:59:01 - mmengine - INFO - Iter(train) [279500/320000] base_lr: 9.7234e-06 lr: 5.0425e-06 eta: 1 day, 1:24:35 time: 2.2910 data_time: 0.1406 memory: 26538 grad_norm: 1.5116 loss: 1.2734 caption_loss_cls: 2.2108 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7504 detection_loss_cls: 0.0470 detection_loss_reg: 0.4316 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5816 2023/11/05 18:59:01 - mmengine - INFO - Saving checkpoint at 279500 iterations 2023/11/05 19:03:29 - mmengine - INFO - Iter(train) [279600/320000] base_lr: 9.6858e-06 lr: 5.0277e-06 eta: 1 day, 1:22:29 time: 2.2949 data_time: 0.1406 memory: 26538 grad_norm: 1.5080 loss: 1.2666 caption_loss_cls: 2.2107 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2859 instance_segmentation_loss_poly: 0.7503 detection_loss_cls: 0.0470 detection_loss_reg: 0.4320 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5823 2023/11/05 19:06:49 - mmengine - INFO - Iter(train) [279700/320000] base_lr: 9.6483e-06 lr: 5.0130e-06 eta: 1 day, 1:17:42 time: 2.2945 data_time: 0.1406 memory: 26538 grad_norm: 1.5050 loss: 1.2658 caption_loss_cls: 2.2098 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2859 instance_segmentation_loss_poly: 0.7507 detection_loss_cls: 0.0471 detection_loss_reg: 0.4320 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5819 2023/11/05 19:10:18 - mmengine - INFO - Iter(train) [279800/320000] base_lr: 9.6109e-06 lr: 4.9982e-06 eta: 1 day, 1:13:15 time: 2.2927 data_time: 0.1406 memory: 25861 grad_norm: 1.4969 loss: 1.2629 caption_loss_cls: 2.2080 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7500 detection_loss_cls: 0.0472 detection_loss_reg: 0.4328 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5808 2023/11/05 19:13:55 - mmengine - INFO - Iter(train) [279900/320000] base_lr: 9.5735e-06 lr: 4.9835e-06 eta: 1 day, 1:09:08 time: 2.2898 data_time: 0.1406 memory: 26538 grad_norm: 1.4961 loss: 1.2638 caption_loss_cls: 2.2075 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7498 detection_loss_cls: 0.0472 detection_loss_reg: 0.4331 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5795 2023/11/05 19:17:56 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 19:17:56 - mmengine - INFO - Iter(train) [280000/320000] base_lr: 9.5363e-06 lr: 4.9688e-06 eta: 1 day, 1:05:57 time: 2.2946 data_time: 0.1406 memory: 26538 grad_norm: 1.4890 loss: 1.2587 caption_loss_cls: 2.2098 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2864 instance_segmentation_loss_poly: 0.7506 detection_loss_cls: 0.0472 detection_loss_reg: 0.4334 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5791 2023/11/05 19:17:56 - mmengine - INFO - Saving checkpoint at 280000 iterations 2023/11/05 19:22:36 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:11 time: 1.3926 data_time: 0.0287 memory: 14021 2023/11/05 19:23:24 - mmengine - INFO - Evaluating bbox... 2023/11/05 19:24:26 - mmengine - INFO - bbox_mAP_copypaste: 0.496 0.670 0.541 0.331 0.541 0.646 2023/11/05 19:24:26 - mmengine - INFO - Evaluating segm... 2023/11/05 19:25:43 - mmengine - INFO - segm_mAP_copypaste: 0.325 0.573 0.321 0.178 0.368 0.498 2023/11/05 19:26:41 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3717 data_time: 0.0281 memory: 14021 2023/11/05 19:27:03 - mmengine - INFO - Evaluating bbox... 2023/11/05 19:28:09 - mmengine - INFO - bbox_mAP_copypaste: 0.497 0.671 0.540 0.330 0.540 0.646 2023/11/05 19:30:39 - mmengine - INFO - per class results: 2023/11/05 19:30:39 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.5 | 87.53 | | building | 81.25 | 91.22 | | sky | 93.2 | 97.39 | | floor | 81.15 | 89.16 | | tree | 73.1 | 87.86 | | ceiling | 82.35 | 92.95 | | road | 83.13 | 89.25 | | bed | 87.47 | 95.11 | | windowpane | 62.43 | 79.54 | | grass | 70.68 | 85.5 | | cabinet | 59.48 | 72.42 | | sidewalk | 65.54 | 78.55 | | person | 80.0 | 90.29 | | earth | 40.98 | 53.33 | | door | 50.86 | 65.91 | | table | 57.65 | 74.86 | | mountain | 59.54 | 73.33 | | plant | 50.49 | 62.77 | | curtain | 69.86 | 86.54 | | chair | 55.6 | 68.91 | | car | 80.89 | 91.61 | | water | 58.15 | 75.48 | | painting | 69.52 | 86.43 | | sofa | 65.74 | 78.73 | | shelf | 42.61 | 64.52 | | house | 43.34 | 62.64 | | sea | 67.45 | 88.09 | | mirror | 62.47 | 73.11 | | rug | 65.82 | 74.22 | | field | 33.8 | 51.74 | | armchair | 44.53 | 67.02 | | seat | 62.59 | 76.86 | | fence | 44.39 | 61.53 | | desk | 46.67 | 64.63 | | rock | 44.02 | 63.88 | | wardrobe | 54.19 | 71.68 | | lamp | 60.51 | 72.81 | | bathtub | 76.05 | 84.4 | | railing | 37.34 | 49.26 | | cushion | 54.23 | 70.34 | | base | 24.91 | 37.41 | | box | 27.46 | 35.77 | | column | 43.61 | 56.71 | | signboard | 37.53 | 48.27 | | chest of drawers | 39.1 | 67.47 | | counter | 35.55 | 49.19 | | sand | 54.6 | 75.35 | | sink | 71.35 | 82.06 | | skyscraper | 37.81 | 43.67 | | fireplace | 68.73 | 83.9 | | refrigerator | 71.14 | 84.04 | | grandstand | 40.25 | 71.8 | | path | 25.86 | 33.71 | | stairs | 33.89 | 43.83 | | runway | 70.15 | 89.26 | | case | 46.11 | 52.79 | | pool table | 91.92 | 95.62 | | pillow | 49.26 | 57.98 | | screen door | 65.71 | 86.69 | | stairway | 31.67 | 44.41 | | river | 21.17 | 29.31 | | bridge | 64.6 | 86.87 | | bookcase | 33.61 | 55.44 | | blind | 27.5 | 29.34 | | coffee table | 59.6 | 75.38 | | toilet | 80.93 | 90.26 | | flower | 36.21 | 56.69 | | book | 45.26 | 67.4 | | hill | 11.06 | 13.76 | | bench | 47.86 | 60.81 | | countertop | 53.14 | 75.19 | | stove | 68.37 | 84.98 | | palm | 48.07 | 63.14 | | kitchen island | 33.24 | 64.86 | | computer | 69.77 | 83.56 | | swivel chair | 38.37 | 58.32 | | boat | 62.11 | 76.0 | | bar | 31.73 | 36.15 | | arcade machine | 64.75 | 70.16 | | hovel | 40.08 | 46.52 | | bus | 91.61 | 95.27 | | towel | 57.13 | 74.52 | | light | 37.07 | 41.14 | | truck | 39.79 | 64.23 | | tower | 31.33 | 51.13 | | chandelier | 64.1 | 76.27 | | awning | 32.88 | 37.9 | | streetlight | 31.48 | 37.48 | | booth | 43.81 | 50.06 | | television receiver | 69.34 | 83.82 | | airplane | 57.17 | 66.17 | | dirt track | 3.21 | 12.6 | | apparel | 28.71 | 41.46 | | pole | 27.59 | 41.72 | | land | 1.11 | 1.48 | | bannister | 6.14 | 9.46 | | escalator | 49.69 | 69.03 | | ottoman | 46.96 | 65.7 | | bottle | 25.3 | 29.64 | | buffet | 44.43 | 53.85 | | poster | 24.05 | 34.36 | | stage | 8.56 | 16.12 | | van | 15.53 | 18.01 | | ship | 69.4 | 81.39 | | fountain | 16.75 | 17.52 | | conveyer belt | 69.17 | 93.05 | | canopy | 23.1 | 26.45 | | washer | 58.54 | 60.44 | | plaything | 28.12 | 37.76 | | swimming pool | 66.54 | 82.71 | | stool | 46.06 | 57.27 | | barrel | 22.75 | 61.41 | | basket | 28.76 | 44.03 | | waterfall | 51.24 | 54.83 | | tent | 92.66 | 96.07 | | bag | 10.46 | 11.6 | | minibike | 71.37 | 86.25 | | cradle | 73.93 | 92.89 | | oven | 33.59 | 41.78 | | ball | 49.8 | 69.78 | | food | 55.36 | 66.05 | | step | 7.44 | 8.17 | | tank | 43.44 | 57.59 | | trade name | 28.28 | 32.46 | | microwave | 82.27 | 88.85 | | pot | 36.35 | 41.09 | | animal | 65.35 | 70.24 | | bicycle | 58.95 | 77.89 | | lake | 0.34 | 0.37 | | dishwasher | 53.11 | 71.0 | | screen | 51.4 | 71.69 | | blanket | 5.58 | 6.33 | | sculpture | 46.73 | 58.84 | | hood | 52.01 | 59.52 | | sconce | 37.45 | 47.93 | | vase | 37.41 | 54.01 | | traffic light | 33.72 | 47.45 | | tray | 8.93 | 15.74 | | ashcan | 38.29 | 52.32 | | fan | 54.8 | 68.46 | | pier | 45.3 | 53.46 | | crt screen | 4.49 | 12.26 | | plate | 52.11 | 68.84 | | monitor | 11.57 | 12.3 | | bulletin board | 40.69 | 50.85 | | shower | 4.44 | 4.97 | | radiator | 58.06 | 64.66 | | glass | 16.71 | 17.99 | | clock | 23.67 | 28.99 | | flag | 66.28 | 75.48 | +---------------------+-------+-------+ 2023/11/05 19:30:48 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.4970 coco/bbox_mAP_50: 0.6710 coco/bbox_mAP_75: 0.5400 coco/bbox_mAP_s: 0.3300 coco/bbox_mAP_m: 0.5400 coco/bbox_mAP_l: 0.6460 coco/segm_mAP: 0.3250 coco/segm_mAP_50: 0.5730 coco/segm_mAP_75: 0.3210 coco/segm_mAP_s: 0.1780 coco/segm_mAP_m: 0.3680 coco/segm_mAP_l: 0.4980 Bleu_1: 0.7588 Bleu_2: 0.5932 Bleu_3: 0.4538 Bleu_4: 0.3457 METEOR: 0.2786 ROUGE_L: 0.5643 CIDEr: 1.1418 SPICE: 0.2063 aAcc: 82.6800 mIoU: 47.8000 mAcc: 59.9200 visual-grounding/miou: 0.7948 visual-grounding/acc: 0.8624 data_time: 0.0312 time: 1.0573 2023/11/05 19:34:20 - mmengine - INFO - Iter(train) [280100/320000] base_lr: 9.4991e-06 lr: 4.9542e-06 eta: 1 day, 1:01:44 time: 2.2742 data_time: 0.1260 memory: 25861 grad_norm: 1.4921 loss: 1.2557 caption_loss_cls: 2.2082 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2870 instance_segmentation_loss_poly: 0.7514 detection_loss_cls: 0.0472 detection_loss_reg: 0.4332 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5786 2023/11/05 19:37:42 - mmengine - INFO - Iter(train) [280200/320000] base_lr: 9.4621e-06 lr: 4.9396e-06 eta: 1 day, 0:57:05 time: 2.2638 data_time: 0.1257 memory: 26538 grad_norm: 1.4958 loss: 1.2539 caption_loss_cls: 2.2080 instance_segmentation_loss_cls: 0.0320 instance_segmentation_loss_reg: 0.2869 instance_segmentation_loss_poly: 0.7513 detection_loss_cls: 0.0472 detection_loss_reg: 0.4336 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5784 2023/11/05 19:41:10 - mmengine - INFO - Iter(train) [280300/320000] base_lr: 9.4251e-06 lr: 4.9250e-06 eta: 1 day, 0:52:40 time: 2.2607 data_time: 0.1257 memory: 25861 grad_norm: 1.4859 loss: 1.2524 caption_loss_cls: 2.2082 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2863 instance_segmentation_loss_poly: 0.7495 detection_loss_cls: 0.0471 detection_loss_reg: 0.4338 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5799 2023/11/05 19:44:46 - mmengine - INFO - Iter(train) [280400/320000] base_lr: 9.3882e-06 lr: 4.9105e-06 eta: 1 day, 0:48:34 time: 2.2553 data_time: 0.1256 memory: 26538 grad_norm: 1.4877 loss: 1.2566 caption_loss_cls: 2.2082 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2861 instance_segmentation_loss_poly: 0.7493 detection_loss_cls: 0.0472 detection_loss_reg: 0.4342 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5811 2023/11/05 19:48:02 - mmengine - INFO - Iter(train) [280500/320000] base_lr: 9.3514e-06 lr: 4.8960e-06 eta: 1 day, 0:43:44 time: 2.2513 data_time: 0.1256 memory: 26538 grad_norm: 1.4923 loss: 1.2586 caption_loss_cls: 2.2090 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2859 instance_segmentation_loss_poly: 0.7491 detection_loss_cls: 0.0471 detection_loss_reg: 0.4339 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5794 2023/11/05 19:48:02 - mmengine - INFO - Saving checkpoint at 280500 iterations 2023/11/05 19:52:48 - mmengine - INFO - Iter(train) [280600/320000] base_lr: 9.3147e-06 lr: 4.8816e-06 eta: 1 day, 0:42:10 time: 2.2584 data_time: 0.1266 memory: 25861 grad_norm: 1.4813 loss: 1.2553 caption_loss_cls: 2.2091 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2864 instance_segmentation_loss_poly: 0.7500 detection_loss_cls: 0.0471 detection_loss_reg: 0.4337 semantic_segmentation_loss_cls: 0.0109 grounding_loss_reg: 2.5779 2023/11/05 19:56:20 - mmengine - INFO - Iter(train) [280700/320000] base_lr: 9.2781e-06 lr: 4.8671e-06 eta: 1 day, 0:37:55 time: 2.2560 data_time: 0.1266 memory: 25861 grad_norm: 1.4834 loss: 1.2513 caption_loss_cls: 2.2068 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2865 instance_segmentation_loss_poly: 0.7504 detection_loss_cls: 0.0470 detection_loss_reg: 0.4336 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5761 2023/11/05 19:59:45 - mmengine - INFO - Iter(train) [280800/320000] base_lr: 9.2416e-06 lr: 4.8527e-06 eta: 1 day, 0:33:23 time: 2.2536 data_time: 0.1266 memory: 26538 grad_norm: 1.4817 loss: 1.2485 caption_loss_cls: 2.2073 instance_segmentation_loss_cls: 0.0319 instance_segmentation_loss_reg: 0.2865 instance_segmentation_loss_poly: 0.7504 detection_loss_cls: 0.0470 detection_loss_reg: 0.4333 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5771 2023/11/05 20:03:04 - mmengine - INFO - Iter(train) [280900/320000] base_lr: 9.2051e-06 lr: 4.8384e-06 eta: 1 day, 0:28:43 time: 2.2441 data_time: 0.1265 memory: 25861 grad_norm: 1.4939 loss: 1.2498 caption_loss_cls: 2.2077 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2865 instance_segmentation_loss_poly: 0.7506 detection_loss_cls: 0.0468 detection_loss_reg: 0.4327 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5747 2023/11/05 20:06:36 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 20:06:36 - mmengine - INFO - Iter(train) [281000/320000] base_lr: 9.1688e-06 lr: 4.8241e-06 eta: 1 day, 0:24:29 time: 2.2478 data_time: 0.1265 memory: 25861 grad_norm: 1.4876 loss: 1.2400 caption_loss_cls: 2.2073 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2867 instance_segmentation_loss_poly: 0.7508 detection_loss_cls: 0.0468 detection_loss_reg: 0.4329 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5720 2023/11/05 20:06:36 - mmengine - INFO - Saving checkpoint at 281000 iterations 2023/11/05 20:11:36 - mmengine - INFO - Iter(train) [281100/320000] base_lr: 9.1325e-06 lr: 4.8098e-06 eta: 1 day, 0:23:18 time: 2.2551 data_time: 0.1269 memory: 25861 grad_norm: 1.4842 loss: 1.2367 caption_loss_cls: 2.2070 instance_segmentation_loss_cls: 0.0318 instance_segmentation_loss_reg: 0.2865 instance_segmentation_loss_poly: 0.7510 detection_loss_cls: 0.0467 detection_loss_reg: 0.4323 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5733 2023/11/05 20:15:39 - mmengine - INFO - Iter(train) [281200/320000] base_lr: 9.0963e-06 lr: 4.7955e-06 eta: 1 day, 0:20:09 time: 2.2592 data_time: 0.1270 memory: 26538 grad_norm: 1.4815 loss: 1.2366 caption_loss_cls: 2.2081 instance_segmentation_loss_cls: 0.0317 instance_segmentation_loss_reg: 0.2858 instance_segmentation_loss_poly: 0.7501 detection_loss_cls: 0.0467 detection_loss_reg: 0.4316 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5711 2023/11/05 20:18:42 - mmengine - INFO - Iter(train) [281300/320000] base_lr: 9.0602e-06 lr: 4.7813e-06 eta: 1 day, 0:14:54 time: 2.2454 data_time: 0.1269 memory: 25861 grad_norm: 1.4802 loss: 1.2346 caption_loss_cls: 2.2101 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2857 instance_segmentation_loss_poly: 0.7500 detection_loss_cls: 0.0466 detection_loss_reg: 0.4314 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5703 2023/11/05 20:22:02 - mmengine - INFO - Iter(train) [281400/320000] base_lr: 9.0242e-06 lr: 4.7671e-06 eta: 1 day, 0:10:18 time: 2.2369 data_time: 0.1269 memory: 25861 grad_norm: 1.4885 loss: 1.2416 caption_loss_cls: 2.2108 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2855 instance_segmentation_loss_poly: 0.7501 detection_loss_cls: 0.0467 detection_loss_reg: 0.4315 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5730 2023/11/05 20:25:53 - mmengine - INFO - Iter(train) [281500/320000] base_lr: 8.9883e-06 lr: 4.7530e-06 eta: 1 day, 0:06:44 time: 2.2374 data_time: 0.1270 memory: 25861 grad_norm: 1.4913 loss: 1.2439 caption_loss_cls: 2.2083 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7478 detection_loss_cls: 0.0467 detection_loss_reg: 0.4312 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5724 2023/11/05 20:25:53 - mmengine - INFO - Saving checkpoint at 281500 iterations 2023/11/05 20:30:50 - mmengine - INFO - Iter(train) [281600/320000] base_lr: 8.9525e-06 lr: 4.7389e-06 eta: 1 day, 0:05:22 time: 2.2442 data_time: 0.1265 memory: 26538 grad_norm: 1.4914 loss: 1.2425 caption_loss_cls: 2.2086 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7474 detection_loss_cls: 0.0467 detection_loss_reg: 0.4311 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5725 2023/11/05 20:34:20 - mmengine - INFO - Iter(train) [281700/320000] base_lr: 8.9168e-06 lr: 4.7248e-06 eta: 1 day, 0:01:04 time: 2.2404 data_time: 0.1265 memory: 25861 grad_norm: 1.4991 loss: 1.2485 caption_loss_cls: 2.2093 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7477 detection_loss_cls: 0.0467 detection_loss_reg: 0.4314 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5740 2023/11/05 20:37:46 - mmengine - INFO - Iter(train) [281800/320000] base_lr: 8.8811e-06 lr: 4.7107e-06 eta: 23:56:40 time: 2.2300 data_time: 0.1264 memory: 26538 grad_norm: 1.5093 loss: 1.2535 caption_loss_cls: 2.2091 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2836 instance_segmentation_loss_poly: 0.7453 detection_loss_cls: 0.0467 detection_loss_reg: 0.4314 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5724 2023/11/05 20:41:36 - mmengine - INFO - Iter(train) [281900/320000] base_lr: 8.8455e-06 lr: 4.6967e-06 eta: 23:53:01 time: 2.2315 data_time: 0.1264 memory: 26538 grad_norm: 1.5060 loss: 1.2492 caption_loss_cls: 2.2082 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2834 instance_segmentation_loss_poly: 0.7452 detection_loss_cls: 0.0467 detection_loss_reg: 0.4308 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5733 2023/11/05 20:45:22 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 20:45:22 - mmengine - INFO - Iter(train) [282000/320000] base_lr: 8.8101e-06 lr: 4.6828e-06 eta: 23:49:17 time: 2.2367 data_time: 0.1264 memory: 25861 grad_norm: 1.5124 loss: 1.2494 caption_loss_cls: 2.2093 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7448 detection_loss_cls: 0.0467 detection_loss_reg: 0.4314 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5718 2023/11/05 20:45:22 - mmengine - INFO - Saving checkpoint at 282000 iterations 2023/11/05 20:49:49 - mmengine - INFO - Iter(train) [282100/320000] base_lr: 8.7747e-06 lr: 4.6688e-06 eta: 23:46:51 time: 2.2378 data_time: 0.1271 memory: 25861 grad_norm: 1.5050 loss: 1.2435 caption_loss_cls: 2.2082 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2832 instance_segmentation_loss_poly: 0.7449 detection_loss_cls: 0.0468 detection_loss_reg: 0.4314 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5728 2023/11/05 20:53:36 - mmengine - INFO - Iter(train) [282200/320000] base_lr: 8.7394e-06 lr: 4.6549e-06 eta: 23:43:08 time: 2.2415 data_time: 0.1270 memory: 26538 grad_norm: 1.4976 loss: 1.2439 caption_loss_cls: 2.2087 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7434 detection_loss_cls: 0.0467 detection_loss_reg: 0.4307 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5723 2023/11/05 20:57:28 - mmengine - INFO - Iter(train) [282300/320000] base_lr: 8.7042e-06 lr: 4.6410e-06 eta: 23:39:32 time: 2.2475 data_time: 0.1270 memory: 26538 grad_norm: 1.5025 loss: 1.2407 caption_loss_cls: 2.2086 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2829 instance_segmentation_loss_poly: 0.7436 detection_loss_cls: 0.0467 detection_loss_reg: 0.4306 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5720 2023/11/05 21:01:12 - mmengine - INFO - Iter(train) [282400/320000] base_lr: 8.6691e-06 lr: 4.6272e-06 eta: 23:35:43 time: 2.2501 data_time: 0.1271 memory: 26538 grad_norm: 1.4965 loss: 1.2392 caption_loss_cls: 2.2090 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.7445 detection_loss_cls: 0.0467 detection_loss_reg: 0.4309 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5724 2023/11/05 21:04:17 - mmengine - INFO - Iter(train) [282500/320000] base_lr: 8.6341e-06 lr: 4.6134e-06 eta: 23:30:41 time: 2.2444 data_time: 0.1269 memory: 25861 grad_norm: 1.5174 loss: 1.2401 caption_loss_cls: 2.2095 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7438 detection_loss_cls: 0.0465 detection_loss_reg: 0.4304 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5713 2023/11/05 21:04:17 - mmengine - INFO - Saving checkpoint at 282500 iterations 2023/11/05 21:09:00 - mmengine - INFO - Iter(train) [282600/320000] base_lr: 8.5991e-06 lr: 4.5997e-06 eta: 23:28:41 time: 2.2449 data_time: 0.1270 memory: 25861 grad_norm: 1.5165 loss: 1.2379 caption_loss_cls: 2.2106 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.7429 detection_loss_cls: 0.0462 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5713 2023/11/05 21:13:01 - mmengine - INFO - Iter(train) [282700/320000] base_lr: 8.5643e-06 lr: 4.5859e-06 eta: 23:25:23 time: 2.2517 data_time: 0.1271 memory: 26538 grad_norm: 1.5165 loss: 1.2402 caption_loss_cls: 2.2109 instance_segmentation_loss_cls: 0.0311 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7420 detection_loss_cls: 0.0461 detection_loss_reg: 0.4281 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5723 2023/11/05 21:16:16 - mmengine - INFO - Iter(train) [282800/320000] base_lr: 8.5295e-06 lr: 4.5722e-06 eta: 23:20:40 time: 2.2469 data_time: 0.1271 memory: 25861 grad_norm: 1.5118 loss: 1.2370 caption_loss_cls: 2.2117 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.7429 detection_loss_cls: 0.0462 detection_loss_reg: 0.4282 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5720 2023/11/05 21:20:03 - mmengine - INFO - Iter(train) [282900/320000] base_lr: 8.4949e-06 lr: 4.5586e-06 eta: 23:16:55 time: 2.2479 data_time: 0.1271 memory: 26538 grad_norm: 1.5067 loss: 1.2398 caption_loss_cls: 2.2130 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.7429 detection_loss_cls: 0.0463 detection_loss_reg: 0.4292 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5697 2023/11/05 21:23:43 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 21:23:43 - mmengine - INFO - Iter(train) [283000/320000] base_lr: 8.4603e-06 lr: 4.5450e-06 eta: 23:12:59 time: 2.2505 data_time: 0.1271 memory: 26538 grad_norm: 1.5010 loss: 1.2350 caption_loss_cls: 2.2116 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7434 detection_loss_cls: 0.0463 detection_loss_reg: 0.4287 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5695 2023/11/05 21:23:43 - mmengine - INFO - Saving checkpoint at 283000 iterations 2023/11/05 21:28:18 - mmengine - INFO - Iter(train) [283100/320000] base_lr: 8.4258e-06 lr: 4.5314e-06 eta: 23:10:40 time: 2.2532 data_time: 0.1276 memory: 25861 grad_norm: 1.5003 loss: 1.2380 caption_loss_cls: 2.2108 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7436 detection_loss_cls: 0.0464 detection_loss_reg: 0.4298 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5704 2023/11/05 21:31:26 - mmengine - INFO - Iter(train) [283200/320000] base_lr: 8.3914e-06 lr: 4.5178e-06 eta: 23:05:47 time: 2.2426 data_time: 0.1275 memory: 25861 grad_norm: 1.5065 loss: 1.2357 caption_loss_cls: 2.2097 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.7438 detection_loss_cls: 0.0464 detection_loss_reg: 0.4299 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5689 2023/11/05 21:34:56 - mmengine - INFO - Iter(train) [283300/320000] base_lr: 8.3571e-06 lr: 4.5043e-06 eta: 23:01:33 time: 2.2453 data_time: 0.1277 memory: 26538 grad_norm: 1.5044 loss: 1.2374 caption_loss_cls: 2.2085 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7433 detection_loss_cls: 0.0465 detection_loss_reg: 0.4301 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5678 2023/11/05 21:38:18 - mmengine - INFO - Iter(train) [283400/320000] base_lr: 8.3229e-06 lr: 4.4908e-06 eta: 22:57:04 time: 2.2428 data_time: 0.1279 memory: 25861 grad_norm: 1.5107 loss: 1.2445 caption_loss_cls: 2.2088 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7436 detection_loss_cls: 0.0465 detection_loss_reg: 0.4305 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5671 2023/11/05 21:42:01 - mmengine - INFO - Iter(train) [283500/320000] base_lr: 8.2887e-06 lr: 4.4774e-06 eta: 22:53:14 time: 2.2520 data_time: 0.1279 memory: 26538 grad_norm: 1.5026 loss: 1.2409 caption_loss_cls: 2.2076 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2829 instance_segmentation_loss_poly: 0.7445 detection_loss_cls: 0.0465 detection_loss_reg: 0.4297 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5680 2023/11/05 21:42:01 - mmengine - INFO - Saving checkpoint at 283500 iterations 2023/11/05 21:46:42 - mmengine - INFO - Iter(train) [283600/320000] base_lr: 8.2547e-06 lr: 4.4640e-06 eta: 22:51:03 time: 2.2552 data_time: 0.1286 memory: 25861 grad_norm: 1.5066 loss: 1.2457 caption_loss_cls: 2.2077 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2827 instance_segmentation_loss_poly: 0.7438 detection_loss_cls: 0.0466 detection_loss_reg: 0.4301 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5678 2023/11/05 21:50:23 - mmengine - INFO - Iter(train) [283700/320000] base_lr: 8.2207e-06 lr: 4.4506e-06 eta: 22:47:09 time: 2.2604 data_time: 0.1288 memory: 26538 grad_norm: 1.5090 loss: 1.2463 caption_loss_cls: 2.2073 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2833 instance_segmentation_loss_poly: 0.7452 detection_loss_cls: 0.0466 detection_loss_reg: 0.4301 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5708 2023/11/05 21:54:13 - mmengine - INFO - Iter(train) [283800/320000] base_lr: 8.1869e-06 lr: 4.4372e-06 eta: 22:43:30 time: 2.2659 data_time: 0.1288 memory: 26538 grad_norm: 1.5055 loss: 1.2415 caption_loss_cls: 2.2067 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.7450 detection_loss_cls: 0.0466 detection_loss_reg: 0.4297 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5717 2023/11/05 21:57:56 - mmengine - INFO - Iter(train) [283900/320000] base_lr: 8.1531e-06 lr: 4.4239e-06 eta: 22:39:38 time: 2.2674 data_time: 0.1288 memory: 26538 grad_norm: 1.5029 loss: 1.2366 caption_loss_cls: 2.2041 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2828 instance_segmentation_loss_poly: 0.7448 detection_loss_cls: 0.0466 detection_loss_reg: 0.4290 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5708 2023/11/05 22:01:22 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 22:01:22 - mmengine - INFO - Iter(train) [284000/320000] base_lr: 8.1194e-06 lr: 4.4107e-06 eta: 22:35:20 time: 2.2587 data_time: 0.1287 memory: 25861 grad_norm: 1.5016 loss: 1.2348 caption_loss_cls: 2.2021 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2830 instance_segmentation_loss_poly: 0.7449 detection_loss_cls: 0.0465 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5714 2023/11/05 22:01:23 - mmengine - INFO - Saving checkpoint at 284000 iterations 2023/11/05 22:06:18 - mmengine - INFO - Iter(train) [284100/320000] base_lr: 8.0858e-06 lr: 4.3974e-06 eta: 22:33:29 time: 2.2790 data_time: 0.1441 memory: 26538 grad_norm: 1.5005 loss: 1.2354 caption_loss_cls: 2.2030 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2831 instance_segmentation_loss_poly: 0.7454 detection_loss_cls: 0.0465 detection_loss_reg: 0.4290 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5725 2023/11/05 22:10:03 - mmengine - INFO - Iter(train) [284200/320000] base_lr: 8.0523e-06 lr: 4.3842e-06 eta: 22:29:41 time: 2.2848 data_time: 0.1443 memory: 26538 grad_norm: 1.5112 loss: 1.2407 caption_loss_cls: 2.2018 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2842 instance_segmentation_loss_poly: 0.7473 detection_loss_cls: 0.0464 detection_loss_reg: 0.4283 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5726 2023/11/05 22:13:42 - mmengine - INFO - Iter(train) [284300/320000] base_lr: 8.0189e-06 lr: 4.3711e-06 eta: 22:25:43 time: 2.2875 data_time: 0.1443 memory: 25861 grad_norm: 1.5143 loss: 1.2406 caption_loss_cls: 2.2039 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2839 instance_segmentation_loss_poly: 0.7466 detection_loss_cls: 0.0465 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5734 2023/11/05 22:17:24 - mmengine - INFO - Iter(train) [284400/320000] base_lr: 7.9855e-06 lr: 4.3579e-06 eta: 22:21:50 time: 2.2889 data_time: 0.1443 memory: 25861 grad_norm: 1.5115 loss: 1.2369 caption_loss_cls: 2.2028 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7474 detection_loss_cls: 0.0464 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5740 2023/11/05 22:21:22 - mmengine - INFO - Iter(train) [284500/320000] base_lr: 7.9523e-06 lr: 4.3448e-06 eta: 22:18:23 time: 2.2994 data_time: 0.1444 memory: 26538 grad_norm: 1.5063 loss: 1.2340 caption_loss_cls: 2.2031 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7472 detection_loss_cls: 0.0465 detection_loss_reg: 0.4285 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5739 2023/11/05 22:21:22 - mmengine - INFO - Saving checkpoint at 284500 iterations 2023/11/05 22:25:56 - mmengine - INFO - Iter(train) [284600/320000] base_lr: 7.9192e-06 lr: 4.3318e-06 eta: 22:15:53 time: 2.2965 data_time: 0.1436 memory: 26538 grad_norm: 1.5161 loss: 1.2404 caption_loss_cls: 2.2021 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7477 detection_loss_cls: 0.0464 detection_loss_reg: 0.4283 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5759 2023/11/05 22:29:32 - mmengine - INFO - Iter(train) [284700/320000] base_lr: 7.8861e-06 lr: 4.3188e-06 eta: 22:11:50 time: 2.2973 data_time: 0.1436 memory: 26538 grad_norm: 1.5165 loss: 1.2469 caption_loss_cls: 2.2061 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7477 detection_loss_cls: 0.0464 detection_loss_reg: 0.4288 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5764 2023/11/05 22:34:04 - mmengine - INFO - Iter(train) [284800/320000] base_lr: 7.8531e-06 lr: 4.3058e-06 eta: 22:09:16 time: 2.3143 data_time: 0.1443 memory: 25861 grad_norm: 1.5193 loss: 1.2466 caption_loss_cls: 2.2064 instance_segmentation_loss_cls: 0.0316 instance_segmentation_loss_reg: 0.2844 instance_segmentation_loss_poly: 0.7478 detection_loss_cls: 0.0464 detection_loss_reg: 0.4292 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5773 2023/11/05 22:38:13 - mmengine - INFO - Iter(train) [284900/320000] base_lr: 7.8203e-06 lr: 4.2928e-06 eta: 22:06:05 time: 2.3267 data_time: 0.1446 memory: 25861 grad_norm: 1.5098 loss: 1.2439 caption_loss_cls: 2.2074 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2843 instance_segmentation_loss_poly: 0.7472 detection_loss_cls: 0.0464 detection_loss_reg: 0.4293 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5771 2023/11/05 22:41:50 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 22:41:50 - mmengine - INFO - Iter(train) [285000/320000] base_lr: 7.7875e-06 lr: 4.2799e-06 eta: 22:02:02 time: 2.3278 data_time: 0.1445 memory: 25861 grad_norm: 1.5062 loss: 1.2454 caption_loss_cls: 2.2081 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2846 instance_segmentation_loss_poly: 0.7481 detection_loss_cls: 0.0464 detection_loss_reg: 0.4296 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5755 2023/11/05 22:41:50 - mmengine - INFO - Saving checkpoint at 285000 iterations 2023/11/05 22:46:30 - mmengine - INFO - Iter(train) [285100/320000] base_lr: 7.7548e-06 lr: 4.2670e-06 eta: 21:59:37 time: 2.3229 data_time: 0.1442 memory: 25861 grad_norm: 1.5144 loss: 1.2461 caption_loss_cls: 2.2076 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2845 instance_segmentation_loss_poly: 0.7477 detection_loss_cls: 0.0464 detection_loss_reg: 0.4295 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5755 2023/11/05 22:50:11 - mmengine - INFO - Iter(train) [285200/320000] base_lr: 7.7222e-06 lr: 4.2542e-06 eta: 21:55:42 time: 2.3175 data_time: 0.1442 memory: 26538 grad_norm: 1.5144 loss: 1.2507 caption_loss_cls: 2.2082 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.7493 detection_loss_cls: 0.0464 detection_loss_reg: 0.4294 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5741 2023/11/05 22:54:12 - mmengine - INFO - Iter(train) [285300/320000] base_lr: 7.6896e-06 lr: 4.2414e-06 eta: 21:52:17 time: 2.3320 data_time: 0.1443 memory: 26538 grad_norm: 1.5235 loss: 1.2505 caption_loss_cls: 2.2080 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2848 instance_segmentation_loss_poly: 0.7492 detection_loss_cls: 0.0464 detection_loss_reg: 0.4295 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5746 2023/11/05 22:57:49 - mmengine - INFO - Iter(train) [285400/320000] base_lr: 7.6572e-06 lr: 4.2286e-06 eta: 21:48:15 time: 2.3362 data_time: 0.1443 memory: 25861 grad_norm: 1.5265 loss: 1.2470 caption_loss_cls: 2.2057 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.7491 detection_loss_cls: 0.0464 detection_loss_reg: 0.4295 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5759 2023/11/05 23:01:16 - mmengine - INFO - Iter(train) [285500/320000] base_lr: 7.6249e-06 lr: 4.2159e-06 eta: 21:43:58 time: 2.3301 data_time: 0.1442 memory: 26538 grad_norm: 1.5346 loss: 1.2485 caption_loss_cls: 2.2072 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.7491 detection_loss_cls: 0.0464 detection_loss_reg: 0.4291 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5733 2023/11/05 23:01:16 - mmengine - INFO - Saving checkpoint at 285500 iterations 2023/11/05 23:05:44 - mmengine - INFO - Iter(train) [285600/320000] base_lr: 7.5926e-06 lr: 4.2032e-06 eta: 21:41:12 time: 2.3228 data_time: 0.1442 memory: 25861 grad_norm: 1.5401 loss: 1.2521 caption_loss_cls: 2.2076 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2847 instance_segmentation_loss_poly: 0.7495 detection_loss_cls: 0.0464 detection_loss_reg: 0.4292 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5726 2023/11/05 23:09:31 - mmengine - INFO - Iter(train) [285700/320000] base_lr: 7.5605e-06 lr: 4.1905e-06 eta: 21:37:25 time: 2.3271 data_time: 0.1444 memory: 25861 grad_norm: 1.5248 loss: 1.2389 caption_loss_cls: 2.2083 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2851 instance_segmentation_loss_poly: 0.7505 detection_loss_cls: 0.0464 detection_loss_reg: 0.4290 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5722 2023/11/05 23:12:53 - mmengine - INFO - Iter(train) [285800/320000] base_lr: 7.5284e-06 lr: 4.1779e-06 eta: 21:33:02 time: 2.3262 data_time: 0.1443 memory: 26538 grad_norm: 1.5402 loss: 1.2389 caption_loss_cls: 2.2080 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2849 instance_segmentation_loss_poly: 0.7500 detection_loss_cls: 0.0464 detection_loss_reg: 0.4287 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5731 2023/11/05 23:15:51 - mmengine - INFO - Iter(train) [285900/320000] base_lr: 7.4964e-06 lr: 4.1653e-06 eta: 21:28:04 time: 2.3133 data_time: 0.1442 memory: 25861 grad_norm: 1.5562 loss: 1.2459 caption_loss_cls: 2.2071 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2846 instance_segmentation_loss_poly: 0.7497 detection_loss_cls: 0.0463 detection_loss_reg: 0.4285 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5725 2023/11/05 23:19:14 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 23:19:14 - mmengine - INFO - Iter(train) [286000/320000] base_lr: 7.4645e-06 lr: 4.1527e-06 eta: 21:23:42 time: 2.3073 data_time: 0.1441 memory: 25861 grad_norm: 1.5544 loss: 1.2471 caption_loss_cls: 2.2077 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2845 instance_segmentation_loss_poly: 0.7501 detection_loss_cls: 0.0463 detection_loss_reg: 0.4279 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5747 2023/11/05 23:19:14 - mmengine - INFO - Saving checkpoint at 286000 iterations 2023/11/05 23:24:04 - mmengine - INFO - Iter(train) [286100/320000] base_lr: 7.4327e-06 lr: 4.1402e-06 eta: 21:21:27 time: 2.3130 data_time: 0.1441 memory: 26538 grad_norm: 1.5548 loss: 1.2453 caption_loss_cls: 2.2091 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2845 instance_segmentation_loss_poly: 0.7504 detection_loss_cls: 0.0463 detection_loss_reg: 0.4278 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5735 2023/11/05 23:27:54 - mmengine - INFO - Iter(train) [286200/320000] base_lr: 7.4010e-06 lr: 4.1277e-06 eta: 21:17:46 time: 2.3139 data_time: 0.1441 memory: 26538 grad_norm: 1.5558 loss: 1.2427 caption_loss_cls: 2.2106 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2842 instance_segmentation_loss_poly: 0.7499 detection_loss_cls: 0.0463 detection_loss_reg: 0.4266 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5723 2023/11/05 23:30:54 - mmengine - INFO - Iter(train) [286300/320000] base_lr: 7.3694e-06 lr: 4.1152e-06 eta: 21:12:52 time: 2.3009 data_time: 0.1440 memory: 25861 grad_norm: 1.5639 loss: 1.2461 caption_loss_cls: 2.2084 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7490 detection_loss_cls: 0.0463 detection_loss_reg: 0.4273 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5742 2023/11/05 23:34:14 - mmengine - INFO - Iter(train) [286400/320000] base_lr: 7.3379e-06 lr: 4.1028e-06 eta: 21:08:27 time: 2.2947 data_time: 0.1438 memory: 26538 grad_norm: 1.5706 loss: 1.2442 caption_loss_cls: 2.2086 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2837 instance_segmentation_loss_poly: 0.7489 detection_loss_cls: 0.0462 detection_loss_reg: 0.4267 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5745 2023/11/05 23:37:52 - mmengine - INFO - Iter(train) [286500/320000] base_lr: 7.3064e-06 lr: 4.0904e-06 eta: 21:04:29 time: 2.3031 data_time: 0.1439 memory: 25861 grad_norm: 1.5484 loss: 1.2421 caption_loss_cls: 2.2096 instance_segmentation_loss_cls: 0.0315 instance_segmentation_loss_reg: 0.2838 instance_segmentation_loss_poly: 0.7490 detection_loss_cls: 0.0462 detection_loss_reg: 0.4266 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5749 2023/11/05 23:37:52 - mmengine - INFO - Saving checkpoint at 286500 iterations 2023/11/05 23:42:04 - mmengine - INFO - Iter(train) [286600/320000] base_lr: 7.2751e-06 lr: 4.0781e-06 eta: 21:01:18 time: 2.2955 data_time: 0.1438 memory: 26538 grad_norm: 1.5556 loss: 1.2445 caption_loss_cls: 2.2112 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2833 instance_segmentation_loss_poly: 0.7480 detection_loss_cls: 0.0462 detection_loss_reg: 0.4264 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5746 2023/11/05 23:45:34 - mmengine - INFO - Iter(train) [286700/320000] base_lr: 7.2438e-06 lr: 4.0657e-06 eta: 20:57:09 time: 2.2876 data_time: 0.1437 memory: 26538 grad_norm: 1.5605 loss: 1.2488 caption_loss_cls: 2.2113 instance_segmentation_loss_cls: 0.0314 instance_segmentation_loss_reg: 0.2829 instance_segmentation_loss_poly: 0.7468 detection_loss_cls: 0.0461 detection_loss_reg: 0.4258 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5749 2023/11/05 23:49:12 - mmengine - INFO - Iter(train) [286800/320000] base_lr: 7.2127e-06 lr: 4.0535e-06 eta: 20:53:10 time: 2.2933 data_time: 0.1437 memory: 26538 grad_norm: 1.5552 loss: 1.2507 caption_loss_cls: 2.2105 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2821 instance_segmentation_loss_poly: 0.7453 detection_loss_cls: 0.0461 detection_loss_reg: 0.4259 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5762 2023/11/05 23:53:08 - mmengine - INFO - Iter(train) [286900/320000] base_lr: 7.1816e-06 lr: 4.0412e-06 eta: 20:49:37 time: 2.2958 data_time: 0.1437 memory: 26538 grad_norm: 1.5567 loss: 1.2497 caption_loss_cls: 2.2114 instance_segmentation_loss_cls: 0.0313 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7461 detection_loss_cls: 0.0463 detection_loss_reg: 0.4274 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5767 2023/11/05 23:57:16 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/05 23:57:16 - mmengine - INFO - Iter(train) [287000/320000] base_lr: 7.1506e-06 lr: 4.0290e-06 eta: 20:46:19 time: 2.3027 data_time: 0.1440 memory: 26538 grad_norm: 1.5526 loss: 1.2562 caption_loss_cls: 2.2121 instance_segmentation_loss_cls: 0.0311 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.7450 detection_loss_cls: 0.0464 detection_loss_reg: 0.4273 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5780 2023/11/05 23:57:16 - mmengine - INFO - Saving checkpoint at 287000 iterations 2023/11/06 00:02:05 - mmengine - INFO - Iter(train) [287100/320000] base_lr: 7.1197e-06 lr: 4.0168e-06 eta: 20:43:56 time: 2.3063 data_time: 0.1441 memory: 25861 grad_norm: 1.5470 loss: 1.2541 caption_loss_cls: 2.2120 instance_segmentation_loss_cls: 0.0311 instance_segmentation_loss_reg: 0.2822 instance_segmentation_loss_poly: 0.7455 detection_loss_cls: 0.0463 detection_loss_reg: 0.4271 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5779 2023/11/06 00:05:50 - mmengine - INFO - Iter(train) [287200/320000] base_lr: 7.0889e-06 lr: 4.0047e-06 eta: 20:40:06 time: 2.3153 data_time: 0.1442 memory: 26538 grad_norm: 1.5254 loss: 1.2517 caption_loss_cls: 2.2119 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7437 detection_loss_cls: 0.0463 detection_loss_reg: 0.4266 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5778 2023/11/06 00:09:47 - mmengine - INFO - Iter(train) [287300/320000] base_lr: 7.0582e-06 lr: 3.9926e-06 eta: 20:36:32 time: 2.3220 data_time: 0.1440 memory: 26538 grad_norm: 1.5188 loss: 1.2481 caption_loss_cls: 2.2124 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2811 instance_segmentation_loss_poly: 0.7431 detection_loss_cls: 0.0464 detection_loss_reg: 0.4272 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5779 2023/11/06 00:13:22 - mmengine - INFO - Iter(train) [287400/320000] base_lr: 7.0275e-06 lr: 3.9805e-06 eta: 20:32:31 time: 2.3255 data_time: 0.1439 memory: 25861 grad_norm: 1.5164 loss: 1.2472 caption_loss_cls: 2.2109 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.7444 detection_loss_cls: 0.0465 detection_loss_reg: 0.4282 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5776 2023/11/06 00:17:19 - mmengine - INFO - Iter(train) [287500/320000] base_lr: 6.9970e-06 lr: 3.9685e-06 eta: 20:28:56 time: 2.3289 data_time: 0.1441 memory: 26538 grad_norm: 1.5146 loss: 1.2451 caption_loss_cls: 2.2106 instance_segmentation_loss_cls: 0.0311 instance_segmentation_loss_reg: 0.2809 instance_segmentation_loss_poly: 0.7425 detection_loss_cls: 0.0465 detection_loss_reg: 0.4284 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5770 2023/11/06 00:17:19 - mmengine - INFO - Saving checkpoint at 287500 iterations 2023/11/06 00:21:32 - mmengine - INFO - Iter(train) [287600/320000] base_lr: 6.9666e-06 lr: 3.9565e-06 eta: 20:25:44 time: 2.3221 data_time: 0.1434 memory: 26538 grad_norm: 1.5229 loss: 1.2445 caption_loss_cls: 2.2093 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.7431 detection_loss_cls: 0.0465 detection_loss_reg: 0.4279 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5758 2023/11/06 00:24:47 - mmengine - INFO - Iter(train) [287700/320000] base_lr: 6.9362e-06 lr: 3.9446e-06 eta: 20:21:16 time: 2.3155 data_time: 0.1432 memory: 25861 grad_norm: 1.5185 loss: 1.2419 caption_loss_cls: 2.2090 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.7427 detection_loss_cls: 0.0463 detection_loss_reg: 0.4278 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5760 2023/11/06 00:28:07 - mmengine - INFO - Iter(train) [287800/320000] base_lr: 6.9060e-06 lr: 3.9326e-06 eta: 20:16:54 time: 2.3079 data_time: 0.1431 memory: 25861 grad_norm: 1.5213 loss: 1.2474 caption_loss_cls: 2.2069 instance_segmentation_loss_cls: 0.0312 instance_segmentation_loss_reg: 0.2810 instance_segmentation_loss_poly: 0.7425 detection_loss_cls: 0.0463 detection_loss_reg: 0.4275 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5773 2023/11/06 00:31:50 - mmengine - INFO - Iter(train) [287900/320000] base_lr: 6.8758e-06 lr: 3.9208e-06 eta: 20:13:02 time: 2.3079 data_time: 0.1432 memory: 25861 grad_norm: 1.5322 loss: 1.2508 caption_loss_cls: 2.2079 instance_segmentation_loss_cls: 0.0311 instance_segmentation_loss_reg: 0.2811 instance_segmentation_loss_poly: 0.7421 detection_loss_cls: 0.0464 detection_loss_reg: 0.4277 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5779 2023/11/06 00:35:52 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/06 00:35:52 - mmengine - INFO - Iter(train) [288000/320000] base_lr: 6.8457e-06 lr: 3.9089e-06 eta: 20:09:35 time: 2.3168 data_time: 0.1432 memory: 25861 grad_norm: 1.5306 loss: 1.2517 caption_loss_cls: 2.2096 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.7424 detection_loss_cls: 0.0464 detection_loss_reg: 0.4277 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5794 2023/11/06 00:35:52 - mmengine - INFO - Saving checkpoint at 288000 iterations 2023/11/06 00:40:33 - mmengine - INFO - Iter(train) [288100/320000] base_lr: 6.8157e-06 lr: 3.8971e-06 eta: 20:06:56 time: 2.3133 data_time: 0.1424 memory: 26538 grad_norm: 1.5375 loss: 1.2564 caption_loss_cls: 2.2097 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.7423 detection_loss_cls: 0.0465 detection_loss_reg: 0.4278 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5803 2023/11/06 00:44:20 - mmengine - INFO - Iter(train) [288200/320000] base_lr: 6.7858e-06 lr: 3.8853e-06 eta: 20:03:08 time: 2.3135 data_time: 0.1427 memory: 26538 grad_norm: 1.5290 loss: 1.2540 caption_loss_cls: 2.2074 instance_segmentation_loss_cls: 0.0310 instance_segmentation_loss_reg: 0.2818 instance_segmentation_loss_poly: 0.7433 detection_loss_cls: 0.0465 detection_loss_reg: 0.4279 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5810 2023/11/06 00:48:20 - mmengine - INFO - Iter(train) [288300/320000] base_lr: 6.7560e-06 lr: 3.8736e-06 eta: 19:59:37 time: 2.3189 data_time: 0.1429 memory: 25861 grad_norm: 1.5332 loss: 1.2542 caption_loss_cls: 2.2069 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.7418 detection_loss_cls: 0.0463 detection_loss_reg: 0.4276 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5827 2023/11/06 00:52:09 - mmengine - INFO - Iter(train) [288400/320000] base_lr: 6.7263e-06 lr: 3.8619e-06 eta: 19:55:52 time: 2.3206 data_time: 0.1430 memory: 25861 grad_norm: 1.5350 loss: 1.2550 caption_loss_cls: 2.2075 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2817 instance_segmentation_loss_poly: 0.7422 detection_loss_cls: 0.0462 detection_loss_reg: 0.4273 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5820 2023/11/06 00:55:59 - mmengine - INFO - Iter(train) [288500/320000] base_lr: 6.6967e-06 lr: 3.8502e-06 eta: 19:52:09 time: 2.3186 data_time: 0.1430 memory: 26538 grad_norm: 1.5324 loss: 1.2543 caption_loss_cls: 2.2071 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.7418 detection_loss_cls: 0.0461 detection_loss_reg: 0.4267 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5808 2023/11/06 00:55:59 - mmengine - INFO - Saving checkpoint at 288500 iterations 2023/11/06 01:00:33 - mmengine - INFO - Iter(train) [288600/320000] base_lr: 6.6671e-06 lr: 3.8386e-06 eta: 19:49:18 time: 2.3185 data_time: 0.1429 memory: 25861 grad_norm: 1.5328 loss: 1.2483 caption_loss_cls: 2.2063 instance_segmentation_loss_cls: 0.0309 instance_segmentation_loss_reg: 0.2818 instance_segmentation_loss_poly: 0.7423 detection_loss_cls: 0.0459 detection_loss_reg: 0.4260 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5808 2023/11/06 01:05:08 - mmengine - INFO - Iter(train) [288700/320000] base_lr: 6.6377e-06 lr: 3.8270e-06 eta: 19:46:28 time: 2.3334 data_time: 0.1429 memory: 25861 grad_norm: 1.5247 loss: 1.2391 caption_loss_cls: 2.2034 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7425 detection_loss_cls: 0.0459 detection_loss_reg: 0.4257 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5795 2023/11/06 01:09:19 - mmengine - INFO - Iter(train) [288800/320000] base_lr: 6.6083e-06 lr: 3.8154e-06 eta: 19:43:08 time: 2.3281 data_time: 0.1427 memory: 25861 grad_norm: 1.5244 loss: 1.2336 caption_loss_cls: 2.2025 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7417 detection_loss_cls: 0.0456 detection_loss_reg: 0.4242 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5786 2023/11/06 01:12:29 - mmengine - INFO - Iter(train) [288900/320000] base_lr: 6.5791e-06 lr: 3.8039e-06 eta: 19:38:36 time: 2.3133 data_time: 0.1425 memory: 25861 grad_norm: 1.5259 loss: 1.2356 caption_loss_cls: 2.2032 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.7413 detection_loss_cls: 0.0456 detection_loss_reg: 0.4242 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5772 2023/11/06 01:16:16 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/06 01:16:16 - mmengine - INFO - Iter(train) [289000/320000] base_lr: 6.5499e-06 lr: 3.7924e-06 eta: 19:34:48 time: 2.3159 data_time: 0.1425 memory: 26538 grad_norm: 1.5221 loss: 1.2341 caption_loss_cls: 2.2034 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2820 instance_segmentation_loss_poly: 0.7426 detection_loss_cls: 0.0458 detection_loss_reg: 0.4255 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5773 2023/11/06 01:16:16 - mmengine - INFO - Saving checkpoint at 289000 iterations 2023/11/06 01:20:41 - mmengine - INFO - Iter(train) [289100/320000] base_lr: 6.5208e-06 lr: 3.7809e-06 eta: 19:31:45 time: 2.3124 data_time: 0.1430 memory: 25861 grad_norm: 1.5117 loss: 1.2325 caption_loss_cls: 2.1993 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.7418 detection_loss_cls: 0.0458 detection_loss_reg: 0.4260 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5779 2023/11/06 01:24:09 - mmengine - INFO - Iter(train) [289200/320000] base_lr: 6.4918e-06 lr: 3.7695e-06 eta: 19:27:34 time: 2.3088 data_time: 0.1428 memory: 25861 grad_norm: 1.5205 loss: 1.2312 caption_loss_cls: 2.1990 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.7408 detection_loss_cls: 0.0459 detection_loss_reg: 0.4253 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5766 2023/11/06 01:27:34 - mmengine - INFO - Iter(train) [289300/320000] base_lr: 6.4629e-06 lr: 3.7581e-06 eta: 19:23:22 time: 2.2999 data_time: 0.1426 memory: 25861 grad_norm: 1.5092 loss: 1.2321 caption_loss_cls: 2.1998 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.7408 detection_loss_cls: 0.0459 detection_loss_reg: 0.4252 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5786 2023/11/06 01:31:09 - mmengine - INFO - Iter(train) [289400/320000] base_lr: 6.4341e-06 lr: 3.7468e-06 eta: 19:19:20 time: 2.2994 data_time: 0.1427 memory: 25861 grad_norm: 1.5021 loss: 1.2304 caption_loss_cls: 2.2004 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.7407 detection_loss_cls: 0.0458 detection_loss_reg: 0.4247 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5786 2023/11/06 01:34:32 - mmengine - INFO - Iter(train) [289500/320000] base_lr: 6.4054e-06 lr: 3.7355e-06 eta: 19:15:05 time: 2.2984 data_time: 0.1428 memory: 26538 grad_norm: 1.4923 loss: 1.2300 caption_loss_cls: 2.1999 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.7401 detection_loss_cls: 0.0457 detection_loss_reg: 0.4243 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5797 2023/11/06 01:34:32 - mmengine - INFO - Saving checkpoint at 289500 iterations 2023/11/06 01:39:27 - mmengine - INFO - Iter(train) [289600/320000] base_lr: 6.3768e-06 lr: 3.7242e-06 eta: 19:12:34 time: 2.3052 data_time: 0.1433 memory: 25861 grad_norm: 1.4854 loss: 1.2284 caption_loss_cls: 2.1998 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.7400 detection_loss_cls: 0.0457 detection_loss_reg: 0.4242 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5797 2023/11/06 01:42:34 - mmengine - INFO - Iter(train) [289700/320000] base_lr: 6.3482e-06 lr: 3.7129e-06 eta: 19:08:01 time: 2.2952 data_time: 0.1430 memory: 26538 grad_norm: 1.4981 loss: 1.2356 caption_loss_cls: 2.1999 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2817 instance_segmentation_loss_poly: 0.7404 detection_loss_cls: 0.0457 detection_loss_reg: 0.4235 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5793 2023/11/06 01:46:35 - mmengine - INFO - Iter(train) [289800/320000] base_lr: 6.3198e-06 lr: 3.7017e-06 eta: 19:04:29 time: 2.3049 data_time: 0.1432 memory: 26538 grad_norm: 1.4829 loss: 1.2328 caption_loss_cls: 2.1980 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.7405 detection_loss_cls: 0.0455 detection_loss_reg: 0.4225 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5783 2023/11/06 01:50:01 - mmengine - INFO - Iter(train) [289900/320000] base_lr: 6.2914e-06 lr: 3.6906e-06 eta: 19:00:18 time: 2.3120 data_time: 0.1432 memory: 25861 grad_norm: 1.4751 loss: 1.2280 caption_loss_cls: 2.1990 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.7397 detection_loss_cls: 0.0456 detection_loss_reg: 0.4228 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5785 2023/11/06 01:53:36 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/06 01:53:36 - mmengine - INFO - Iter(train) [290000/320000] base_lr: 6.2632e-06 lr: 3.6794e-06 eta: 18:56:18 time: 2.3151 data_time: 0.1432 memory: 25861 grad_norm: 1.4785 loss: 1.2257 caption_loss_cls: 2.1971 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2807 instance_segmentation_loss_poly: 0.7384 detection_loss_cls: 0.0455 detection_loss_reg: 0.4223 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5779 2023/11/06 01:53:36 - mmengine - INFO - Saving checkpoint at 290000 iterations 2023/11/06 01:58:16 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.3903 data_time: 0.0285 memory: 14021 2023/11/06 01:59:07 - mmengine - INFO - Evaluating bbox... 2023/11/06 02:00:12 - mmengine - INFO - bbox_mAP_copypaste: 0.499 0.674 0.544 0.335 0.545 0.647 2023/11/06 02:00:12 - mmengine - INFO - Evaluating segm... 2023/11/06 02:01:26 - mmengine - INFO - segm_mAP_copypaste: 0.327 0.579 0.322 0.181 0.370 0.504 2023/11/06 02:02:27 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3629 data_time: 0.0278 memory: 14021 2023/11/06 02:02:48 - mmengine - INFO - Evaluating bbox... 2023/11/06 02:03:54 - mmengine - INFO - bbox_mAP_copypaste: 0.500 0.674 0.545 0.333 0.546 0.647 2023/11/06 02:07:02 - mmengine - INFO - per class results: 2023/11/06 02:07:02 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.67 | 87.55 | | building | 81.58 | 91.87 | | sky | 93.12 | 97.65 | | floor | 81.35 | 88.69 | | tree | 72.97 | 86.65 | | ceiling | 82.59 | 93.23 | | road | 82.96 | 88.44 | | bed | 87.79 | 94.36 | | windowpane | 62.37 | 79.67 | | grass | 70.67 | 85.67 | | cabinet | 59.64 | 73.52 | | sidewalk | 65.55 | 80.57 | | person | 79.96 | 91.18 | | earth | 37.74 | 47.81 | | door | 53.25 | 68.42 | | table | 58.69 | 74.91 | | mountain | 61.76 | 73.79 | | plant | 50.66 | 64.67 | | curtain | 70.96 | 86.84 | | chair | 56.19 | 71.59 | | car | 80.19 | 91.42 | | water | 56.46 | 72.47 | | painting | 69.48 | 86.46 | | sofa | 67.3 | 80.63 | | shelf | 44.1 | 64.48 | | house | 44.9 | 61.72 | | sea | 65.53 | 86.29 | | mirror | 61.66 | 72.22 | | rug | 67.12 | 76.96 | | field | 33.29 | 54.73 | | armchair | 44.6 | 64.29 | | seat | 63.06 | 79.18 | | fence | 44.99 | 60.84 | | desk | 46.35 | 64.32 | | rock | 47.5 | 68.46 | | wardrobe | 52.75 | 67.48 | | lamp | 59.94 | 74.75 | | bathtub | 77.73 | 84.29 | | railing | 35.55 | 45.2 | | cushion | 51.93 | 65.1 | | base | 26.63 | 39.88 | | box | 28.13 | 37.9 | | column | 43.08 | 56.4 | | signboard | 37.57 | 50.64 | | chest of drawers | 38.83 | 60.48 | | counter | 34.87 | 47.72 | | sand | 54.52 | 76.14 | | sink | 72.15 | 82.32 | | skyscraper | 41.59 | 49.56 | | fireplace | 70.36 | 84.86 | | refrigerator | 69.67 | 80.37 | | grandstand | 38.83 | 72.65 | | path | 25.43 | 33.62 | | stairs | 35.46 | 42.24 | | runway | 67.64 | 86.17 | | case | 49.13 | 60.19 | | pool table | 91.07 | 95.97 | | pillow | 52.25 | 69.54 | | screen door | 66.54 | 80.72 | | stairway | 33.97 | 49.08 | | river | 20.48 | 29.95 | | bridge | 63.46 | 88.02 | | bookcase | 32.89 | 51.82 | | blind | 30.69 | 33.33 | | coffee table | 60.68 | 78.67 | | toilet | 80.01 | 91.05 | | flower | 32.52 | 48.54 | | book | 45.57 | 66.4 | | hill | 9.95 | 16.47 | | bench | 48.25 | 62.3 | | countertop | 55.23 | 73.05 | | stove | 73.95 | 83.82 | | palm | 48.26 | 62.4 | | kitchen island | 34.19 | 65.4 | | computer | 70.75 | 85.04 | | swivel chair | 38.57 | 55.37 | | boat | 64.87 | 84.58 | | bar | 38.76 | 45.07 | | arcade machine | 59.79 | 64.27 | | hovel | 33.35 | 36.18 | | bus | 91.76 | 95.68 | | towel | 56.7 | 78.29 | | light | 40.97 | 47.01 | | truck | 37.63 | 60.64 | | tower | 30.96 | 50.76 | | chandelier | 65.49 | 77.7 | | awning | 33.17 | 39.07 | | streetlight | 30.72 | 37.26 | | booth | 42.73 | 50.75 | | television receiver | 69.36 | 84.53 | | airplane | 53.12 | 66.4 | | dirt track | 2.38 | 15.77 | | apparel | 26.74 | 37.84 | | pole | 26.79 | 39.94 | | land | 1.92 | 2.43 | | bannister | 5.44 | 7.8 | | escalator | 46.89 | 64.68 | | ottoman | 46.16 | 69.79 | | bottle | 25.45 | 31.22 | | buffet | 44.24 | 50.62 | | poster | 27.79 | 37.04 | | stage | 8.28 | 13.86 | | van | 15.81 | 18.74 | | ship | 73.88 | 79.52 | | fountain | 16.99 | 18.27 | | conveyer belt | 71.53 | 92.59 | | canopy | 23.89 | 26.34 | | washer | 58.81 | 60.53 | | plaything | 25.37 | 35.94 | | swimming pool | 57.1 | 82.91 | | stool | 45.62 | 60.18 | | barrel | 21.71 | 61.8 | | basket | 28.23 | 46.7 | | waterfall | 61.12 | 70.07 | | tent | 83.14 | 96.45 | | bag | 12.6 | 14.09 | | minibike | 70.84 | 85.99 | | cradle | 74.06 | 92.59 | | oven | 38.55 | 45.87 | | ball | 46.65 | 68.77 | | food | 56.82 | 68.72 | | step | 12.28 | 14.35 | | tank | 48.33 | 58.67 | | trade name | 18.17 | 19.75 | | microwave | 84.74 | 92.35 | | pot | 36.63 | 41.48 | | animal | 62.89 | 67.8 | | bicycle | 58.4 | 79.24 | | lake | 9.51 | 10.31 | | dishwasher | 54.31 | 71.79 | | screen | 51.03 | 69.52 | | blanket | 7.08 | 8.17 | | sculpture | 44.24 | 66.35 | | hood | 53.07 | 59.13 | | sconce | 31.04 | 37.38 | | vase | 38.15 | 53.24 | | traffic light | 36.33 | 48.91 | | tray | 7.82 | 13.58 | | ashcan | 40.27 | 53.58 | | fan | 56.06 | 70.58 | | pier | 48.34 | 52.51 | | crt screen | 5.45 | 15.44 | | plate | 52.66 | 65.02 | | monitor | 10.34 | 11.45 | | bulletin board | 37.52 | 51.85 | | shower | 3.95 | 5.9 | | radiator | 60.35 | 67.41 | | glass | 16.27 | 17.42 | | clock | 25.15 | 30.19 | | flag | 66.91 | 74.75 | +---------------------+-------+-------+ 2023/11/06 02:07:11 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.5000 coco/bbox_mAP_50: 0.6740 coco/bbox_mAP_75: 0.5450 coco/bbox_mAP_s: 0.3330 coco/bbox_mAP_m: 0.5460 coco/bbox_mAP_l: 0.6470 coco/segm_mAP: 0.3270 coco/segm_mAP_50: 0.5790 coco/segm_mAP_75: 0.3220 coco/segm_mAP_s: 0.1810 coco/segm_mAP_m: 0.3700 coco/segm_mAP_l: 0.5040 Bleu_1: 0.7640 Bleu_2: 0.5947 Bleu_3: 0.4533 Bleu_4: 0.3430 METEOR: 0.2781 ROUGE_L: 0.5656 CIDEr: 1.1395 SPICE: 0.2064 aAcc: 82.7700 mIoU: 47.9700 mAcc: 60.2700 visual-grounding/miou: 0.7943 visual-grounding/acc: 0.8608 data_time: 0.0274 time: 1.0506 2023/11/06 02:10:28 - mmengine - INFO - Iter(train) [290100/320000] base_lr: 6.2350e-06 lr: 3.6683e-06 eta: 18:52:01 time: 2.2926 data_time: 0.1281 memory: 25861 grad_norm: 1.5178 loss: 1.2287 caption_loss_cls: 2.1958 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2808 instance_segmentation_loss_poly: 0.7388 detection_loss_cls: 0.0456 detection_loss_reg: 0.4230 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5744 2023/11/06 02:14:03 - mmengine - INFO - Iter(train) [290200/320000] base_lr: 6.2069e-06 lr: 3.6573e-06 eta: 18:48:00 time: 2.2885 data_time: 0.1281 memory: 26538 grad_norm: 1.5150 loss: 1.2270 caption_loss_cls: 2.1934 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2806 instance_segmentation_loss_poly: 0.7383 detection_loss_cls: 0.0455 detection_loss_reg: 0.4229 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5736 2023/11/06 02:17:27 - mmengine - INFO - Iter(train) [290300/320000] base_lr: 6.1790e-06 lr: 3.6463e-06 eta: 18:43:49 time: 2.2948 data_time: 0.1286 memory: 26538 grad_norm: 1.5054 loss: 1.2243 caption_loss_cls: 2.1922 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2807 instance_segmentation_loss_poly: 0.7385 detection_loss_cls: 0.0455 detection_loss_reg: 0.4238 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5731 2023/11/06 02:20:45 - mmengine - INFO - Iter(train) [290400/320000] base_lr: 6.1511e-06 lr: 3.6353e-06 eta: 18:39:30 time: 2.2943 data_time: 0.1286 memory: 25861 grad_norm: 1.5041 loss: 1.2244 caption_loss_cls: 2.1942 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2805 instance_segmentation_loss_poly: 0.7379 detection_loss_cls: 0.0456 detection_loss_reg: 0.4238 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5722 2023/11/06 02:24:26 - mmengine - INFO - Iter(train) [290500/320000] base_lr: 6.1233e-06 lr: 3.6243e-06 eta: 18:35:37 time: 2.2949 data_time: 0.1286 memory: 25861 grad_norm: 1.5116 loss: 1.2245 caption_loss_cls: 2.1915 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2805 instance_segmentation_loss_poly: 0.7384 detection_loss_cls: 0.0456 detection_loss_reg: 0.4236 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5721 2023/11/06 02:24:26 - mmengine - INFO - Saving checkpoint at 290500 iterations 2023/11/06 02:29:22 - mmengine - INFO - Iter(train) [290600/320000] base_lr: 6.0955e-06 lr: 3.6134e-06 eta: 18:33:03 time: 2.3059 data_time: 0.1289 memory: 26538 grad_norm: 1.5016 loss: 1.2185 caption_loss_cls: 2.1932 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2801 instance_segmentation_loss_poly: 0.7372 detection_loss_cls: 0.0455 detection_loss_reg: 0.4231 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5712 2023/11/06 02:33:00 - mmengine - INFO - Iter(train) [290700/320000] base_lr: 6.0679e-06 lr: 3.6025e-06 eta: 18:29:06 time: 2.3079 data_time: 0.1292 memory: 26538 grad_norm: 1.5057 loss: 1.2238 caption_loss_cls: 2.1943 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7385 detection_loss_cls: 0.0455 detection_loss_reg: 0.4223 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5726 2023/11/06 02:36:30 - mmengine - INFO - Iter(train) [290800/320000] base_lr: 6.0404e-06 lr: 3.5917e-06 eta: 18:25:01 time: 2.3060 data_time: 0.1291 memory: 26538 grad_norm: 1.5072 loss: 1.2209 caption_loss_cls: 2.1940 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.7377 detection_loss_cls: 0.0455 detection_loss_reg: 0.4222 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5728 2023/11/06 02:40:19 - mmengine - INFO - Iter(train) [290900/320000] base_lr: 6.0130e-06 lr: 3.5809e-06 eta: 18:21:16 time: 2.3042 data_time: 0.1291 memory: 25861 grad_norm: 1.5031 loss: 1.2180 caption_loss_cls: 2.1935 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2809 instance_segmentation_loss_poly: 0.7369 detection_loss_cls: 0.0454 detection_loss_reg: 0.4223 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5739 2023/11/06 02:44:15 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/06 02:44:15 - mmengine - INFO - Iter(train) [291000/320000] base_lr: 5.9856e-06 lr: 3.5701e-06 eta: 18:17:38 time: 2.3012 data_time: 0.1290 memory: 26538 grad_norm: 1.5092 loss: 1.2142 caption_loss_cls: 2.1947 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2812 instance_segmentation_loss_poly: 0.7373 detection_loss_cls: 0.0453 detection_loss_reg: 0.4214 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5731 2023/11/06 02:44:15 - mmengine - INFO - Saving checkpoint at 291000 iterations 2023/11/06 02:49:15 - mmengine - INFO - Iter(train) [291100/320000] base_lr: 5.9584e-06 lr: 3.5594e-06 eta: 18:15:04 time: 2.3039 data_time: 0.1288 memory: 26538 grad_norm: 1.5115 loss: 1.2165 caption_loss_cls: 2.1979 instance_segmentation_loss_cls: 0.0308 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7384 detection_loss_cls: 0.0453 detection_loss_reg: 0.4209 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5712 2023/11/06 02:52:44 - mmengine - INFO - Iter(train) [291200/320000] base_lr: 5.9312e-06 lr: 3.5487e-06 eta: 18:10:59 time: 2.3000 data_time: 0.1287 memory: 25861 grad_norm: 1.5199 loss: 1.2222 caption_loss_cls: 2.1987 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2820 instance_segmentation_loss_poly: 0.7376 detection_loss_cls: 0.0452 detection_loss_reg: 0.4205 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5709 2023/11/06 02:56:27 - mmengine - INFO - Iter(train) [291300/320000] base_lr: 5.9041e-06 lr: 3.5380e-06 eta: 18:07:07 time: 2.2965 data_time: 0.1287 memory: 26538 grad_norm: 1.5345 loss: 1.2192 caption_loss_cls: 2.1978 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2818 instance_segmentation_loss_poly: 0.7371 detection_loss_cls: 0.0453 detection_loss_reg: 0.4203 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5706 2023/11/06 03:00:42 - mmengine - INFO - Iter(train) [291400/320000] base_lr: 5.8771e-06 lr: 3.5274e-06 eta: 18:03:47 time: 2.3064 data_time: 0.1287 memory: 26538 grad_norm: 1.5295 loss: 1.2151 caption_loss_cls: 2.1985 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2819 instance_segmentation_loss_poly: 0.7361 detection_loss_cls: 0.0453 detection_loss_reg: 0.4198 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5699 2023/11/06 03:04:21 - mmengine - INFO - Iter(train) [291500/320000] base_lr: 5.8503e-06 lr: 3.5168e-06 eta: 17:59:51 time: 2.3020 data_time: 0.1287 memory: 25861 grad_norm: 1.5327 loss: 1.2208 caption_loss_cls: 2.2008 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.7353 detection_loss_cls: 0.0454 detection_loss_reg: 0.4197 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5693 2023/11/06 03:04:21 - mmengine - INFO - Saving checkpoint at 291500 iterations 2023/11/06 03:08:36 - mmengine - INFO - Iter(train) [291600/320000] base_lr: 5.8235e-06 lr: 3.5062e-06 eta: 17:56:31 time: 2.3022 data_time: 0.1288 memory: 26538 grad_norm: 1.5364 loss: 1.2290 caption_loss_cls: 2.2027 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2810 instance_segmentation_loss_poly: 0.7346 detection_loss_cls: 0.0454 detection_loss_reg: 0.4197 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5692 2023/11/06 03:12:20 - mmengine - INFO - Iter(train) [291700/320000] base_lr: 5.7968e-06 lr: 3.4957e-06 eta: 17:52:40 time: 2.3096 data_time: 0.1290 memory: 25861 grad_norm: 1.5323 loss: 1.2282 caption_loss_cls: 2.2018 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.7361 detection_loss_cls: 0.0453 detection_loss_reg: 0.4190 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5688 2023/11/06 03:16:11 - mmengine - INFO - Iter(train) [291800/320000] base_lr: 5.7701e-06 lr: 3.4852e-06 eta: 17:48:56 time: 2.3173 data_time: 0.1291 memory: 25861 grad_norm: 1.5358 loss: 1.2269 caption_loss_cls: 2.1995 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.7361 detection_loss_cls: 0.0453 detection_loss_reg: 0.4188 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5677 2023/11/06 03:19:45 - mmengine - INFO - Iter(train) [291900/320000] base_lr: 5.7436e-06 lr: 3.4748e-06 eta: 17:44:56 time: 2.3153 data_time: 0.1292 memory: 26538 grad_norm: 1.5314 loss: 1.2254 caption_loss_cls: 2.1973 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.7356 detection_loss_cls: 0.0453 detection_loss_reg: 0.4183 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5671 2023/11/06 03:23:17 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/06 03:23:17 - mmengine - INFO - Iter(train) [292000/320000] base_lr: 5.7172e-06 lr: 3.4643e-06 eta: 17:40:53 time: 2.3076 data_time: 0.1291 memory: 26538 grad_norm: 1.5483 loss: 1.2293 caption_loss_cls: 2.1973 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2813 instance_segmentation_loss_poly: 0.7351 detection_loss_cls: 0.0453 detection_loss_reg: 0.4179 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5684 2023/11/06 03:23:17 - mmengine - INFO - Saving checkpoint at 292000 iterations 2023/11/06 03:27:46 - mmengine - INFO - Iter(train) [292100/320000] base_lr: 5.6909e-06 lr: 3.4540e-06 eta: 17:37:46 time: 2.3047 data_time: 0.1291 memory: 25861 grad_norm: 1.5586 loss: 1.2312 caption_loss_cls: 2.1982 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7361 detection_loss_cls: 0.0451 detection_loss_reg: 0.4173 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5683 2023/11/06 03:31:26 - mmengine - INFO - Iter(train) [292200/320000] base_lr: 5.6646e-06 lr: 3.4436e-06 eta: 17:33:51 time: 2.3030 data_time: 0.1287 memory: 26538 grad_norm: 1.5543 loss: 1.2280 caption_loss_cls: 2.1965 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7361 detection_loss_cls: 0.0451 detection_loss_reg: 0.4170 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5684 2023/11/06 03:35:37 - mmengine - INFO - Iter(train) [292300/320000] base_lr: 5.6385e-06 lr: 3.4333e-06 eta: 17:30:25 time: 2.3057 data_time: 0.1311 memory: 26538 grad_norm: 1.5632 loss: 1.2327 caption_loss_cls: 2.1977 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2817 instance_segmentation_loss_poly: 0.7363 detection_loss_cls: 0.0450 detection_loss_reg: 0.4162 semantic_segmentation_loss_cls: 0.0108 grounding_loss_reg: 2.5701 2023/11/06 03:38:50 - mmengine - INFO - Iter(train) [292400/320000] base_lr: 5.6124e-06 lr: 3.4231e-06 eta: 17:26:06 time: 2.2969 data_time: 0.1311 memory: 25861 grad_norm: 1.5663 loss: 1.2349 caption_loss_cls: 2.1993 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2818 instance_segmentation_loss_poly: 0.7365 detection_loss_cls: 0.0449 detection_loss_reg: 0.4152 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5681 2023/11/06 03:42:43 - mmengine - INFO - Iter(train) [292500/320000] base_lr: 5.5864e-06 lr: 3.4128e-06 eta: 17:22:23 time: 2.2974 data_time: 0.1312 memory: 26538 grad_norm: 1.5723 loss: 1.2377 caption_loss_cls: 2.1970 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2820 instance_segmentation_loss_poly: 0.7369 detection_loss_cls: 0.0449 detection_loss_reg: 0.4150 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5687 2023/11/06 03:42:43 - mmengine - INFO - Saving checkpoint at 292500 iterations 2023/11/06 03:47:00 - mmengine - INFO - Iter(train) [292600/320000] base_lr: 5.5606e-06 lr: 3.4026e-06 eta: 17:19:03 time: 2.2933 data_time: 0.1318 memory: 26538 grad_norm: 1.5740 loss: 1.2429 caption_loss_cls: 2.1947 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2821 instance_segmentation_loss_poly: 0.7371 detection_loss_cls: 0.0449 detection_loss_reg: 0.4151 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5693 2023/11/06 03:50:50 - mmengine - INFO - Iter(train) [292700/320000] base_lr: 5.5348e-06 lr: 3.3925e-06 eta: 17:15:18 time: 2.2819 data_time: 0.1318 memory: 26538 grad_norm: 1.5755 loss: 1.2425 caption_loss_cls: 2.1926 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7360 detection_loss_cls: 0.0449 detection_loss_reg: 0.4147 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5696 2023/11/06 03:54:26 - mmengine - INFO - Iter(train) [292800/320000] base_lr: 5.5091e-06 lr: 3.3824e-06 eta: 17:11:20 time: 2.2733 data_time: 0.1314 memory: 26538 grad_norm: 1.5649 loss: 1.2425 caption_loss_cls: 2.1929 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2816 instance_segmentation_loss_poly: 0.7366 detection_loss_cls: 0.0449 detection_loss_reg: 0.4145 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5693 2023/11/06 03:58:03 - mmengine - INFO - Iter(train) [292900/320000] base_lr: 5.4835e-06 lr: 3.3723e-06 eta: 17:07:23 time: 2.2800 data_time: 0.1316 memory: 26538 grad_norm: 1.5586 loss: 1.2392 caption_loss_cls: 2.1901 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.7377 detection_loss_cls: 0.0450 detection_loss_reg: 0.4146 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5693 2023/11/06 04:01:02 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/06 04:01:02 - mmengine - INFO - Iter(train) [293000/320000] base_lr: 5.4580e-06 lr: 3.3622e-06 eta: 17:02:53 time: 2.2681 data_time: 0.1314 memory: 25861 grad_norm: 1.5762 loss: 1.2432 caption_loss_cls: 2.1887 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7379 detection_loss_cls: 0.0450 detection_loss_reg: 0.4149 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5707 2023/11/06 04:01:02 - mmengine - INFO - Saving checkpoint at 293000 iterations 2023/11/06 04:06:13 - mmengine - INFO - Iter(train) [293100/320000] base_lr: 5.4325e-06 lr: 3.3522e-06 eta: 17:00:19 time: 2.2794 data_time: 0.1309 memory: 26538 grad_norm: 1.5846 loss: 1.2412 caption_loss_cls: 2.1879 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2825 instance_segmentation_loss_poly: 0.7380 detection_loss_cls: 0.0449 detection_loss_reg: 0.4144 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5676 2023/11/06 04:09:09 - mmengine - INFO - Iter(train) [293200/320000] base_lr: 5.4072e-06 lr: 3.3422e-06 eta: 16:55:46 time: 2.2715 data_time: 0.1310 memory: 25861 grad_norm: 1.5874 loss: 1.2458 caption_loss_cls: 2.1838 instance_segmentation_loss_cls: 0.0307 instance_segmentation_loss_reg: 0.2826 instance_segmentation_loss_poly: 0.7387 detection_loss_cls: 0.0450 detection_loss_reg: 0.4154 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5681 2023/11/06 04:12:41 - mmengine - INFO - Iter(train) [293300/320000] base_lr: 5.3820e-06 lr: 3.3323e-06 eta: 16:51:45 time: 2.2731 data_time: 0.1311 memory: 25861 grad_norm: 1.5848 loss: 1.2433 caption_loss_cls: 2.1838 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2818 instance_segmentation_loss_poly: 0.7378 detection_loss_cls: 0.0449 detection_loss_reg: 0.4143 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5693 2023/11/06 04:16:26 - mmengine - INFO - Iter(train) [293400/320000] base_lr: 5.3568e-06 lr: 3.3224e-06 eta: 16:47:56 time: 2.2757 data_time: 0.1311 memory: 25861 grad_norm: 1.5744 loss: 1.2389 caption_loss_cls: 2.1830 instance_segmentation_loss_cls: 0.0306 instance_segmentation_loss_reg: 0.2823 instance_segmentation_loss_poly: 0.7392 detection_loss_cls: 0.0447 detection_loss_reg: 0.4142 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5688 2023/11/06 04:19:53 - mmengine - INFO - Iter(train) [293500/320000] base_lr: 5.3318e-06 lr: 3.3125e-06 eta: 16:43:51 time: 2.2766 data_time: 0.1311 memory: 25861 grad_norm: 1.5791 loss: 1.2391 caption_loss_cls: 2.1850 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7392 detection_loss_cls: 0.0447 detection_loss_reg: 0.4142 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5691 2023/11/06 04:19:53 - mmengine - INFO - Saving checkpoint at 293500 iterations 2023/11/06 04:24:24 - mmengine - INFO - Iter(train) [293600/320000] base_lr: 5.3068e-06 lr: 3.3027e-06 eta: 16:40:41 time: 2.2706 data_time: 0.1308 memory: 26538 grad_norm: 1.5836 loss: 1.2371 caption_loss_cls: 2.1841 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2820 instance_segmentation_loss_poly: 0.7389 detection_loss_cls: 0.0447 detection_loss_reg: 0.4142 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5694 2023/11/06 04:27:54 - mmengine - INFO - Iter(train) [293700/320000] base_lr: 5.2820e-06 lr: 3.2929e-06 eta: 16:36:39 time: 2.2764 data_time: 0.1309 memory: 26538 grad_norm: 1.5746 loss: 1.2337 caption_loss_cls: 2.1832 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2815 instance_segmentation_loss_poly: 0.7380 detection_loss_cls: 0.0447 detection_loss_reg: 0.4132 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5685 2023/11/06 04:31:18 - mmengine - INFO - Iter(train) [293800/320000] base_lr: 5.2572e-06 lr: 3.2831e-06 eta: 16:32:32 time: 2.2672 data_time: 0.1308 memory: 26538 grad_norm: 1.5859 loss: 1.2407 caption_loss_cls: 2.1838 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2820 instance_segmentation_loss_poly: 0.7387 detection_loss_cls: 0.0447 detection_loss_reg: 0.4136 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5680 2023/11/06 04:34:43 - mmengine - INFO - Iter(train) [293900/320000] base_lr: 5.2325e-06 lr: 3.2734e-06 eta: 16:28:26 time: 2.2668 data_time: 0.1309 memory: 26538 grad_norm: 1.5889 loss: 1.2436 caption_loss_cls: 2.1837 instance_segmentation_loss_cls: 0.0305 instance_segmentation_loss_reg: 0.2824 instance_segmentation_loss_poly: 0.7397 detection_loss_cls: 0.0448 detection_loss_reg: 0.4138 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5681 2023/11/06 04:38:19 - mmengine - INFO - Exp name: univision_joint_all_large_20231105_073849 2023/11/06 04:38:19 - mmengine - INFO - Iter(train) [294000/320000] base_lr: 5.2079e-06 lr: 3.2637e-06 eta: 16:24:29 time: 2.2671 data_time: 0.1309 memory: 26538 grad_norm: 1.5889 loss: 1.2443 caption_loss_cls: 2.1829 instance_segmentation_loss_cls: 0.0304 instance_segmentation_loss_reg: 0.2814 instance_segmentation_loss_poly: 0.7380 detection_loss_cls: 0.0449 detection_loss_reg: 0.4140 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5675 2023/11/06 04:38:19 - mmengine - INFO - Saving checkpoint at 294000 iterations 2023/11/06 05:23:08 - mmengine - INFO - Iter(train) [294500/320000] base_lr: 5.0864e-06 lr: 3.2158e-06 eta: 12:00:45 time: 2.2198 data_time: 0.1300 memory: 26535 grad_norm: 1.5542 loss: 1.2459 caption_loss_cls: 2.1851 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2797 instance_segmentation_loss_poly: 0.7347 detection_loss_cls: 0.0448 detection_loss_reg: 0.4136 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5673 2023/11/06 05:23:08 - mmengine - INFO - Saving checkpoint at 294500 iterations 2023/11/06 05:27:04 - mmengine - INFO - Iter(train) [294600/320000] base_lr: 5.0623e-06 lr: 3.2064e-06 eta: 12:44:49 time: 2.2047 data_time: 0.1290 memory: 26535 grad_norm: 1.5592 loss: 1.2466 caption_loss_cls: 2.1862 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2796 instance_segmentation_loss_poly: 0.7345 detection_loss_cls: 0.0447 detection_loss_reg: 0.4131 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5658 2023/11/06 05:30:48 - mmengine - INFO - Iter(train) [294700/320000] base_lr: 5.0384e-06 lr: 3.1969e-06 eta: 13:07:32 time: 2.2061 data_time: 0.1288 memory: 25857 grad_norm: 1.5515 loss: 1.2378 caption_loss_cls: 2.1853 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2792 instance_segmentation_loss_poly: 0.7332 detection_loss_cls: 0.0447 detection_loss_reg: 0.4131 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5665 2023/11/06 05:33:47 - mmengine - INFO - Iter(train) [294800/320000] base_lr: 5.0146e-06 lr: 3.1876e-06 eta: 13:00:34 time: 2.1985 data_time: 0.1288 memory: 25857 grad_norm: 1.5543 loss: 1.2395 caption_loss_cls: 2.1843 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2793 instance_segmentation_loss_poly: 0.7341 detection_loss_cls: 0.0447 detection_loss_reg: 0.4129 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5645 2023/11/06 05:36:26 - mmengine - INFO - Iter(train) [294900/320000] base_lr: 4.9908e-06 lr: 3.1782e-06 eta: 12:45:01 time: 2.1810 data_time: 0.1287 memory: 26535 grad_norm: 1.5615 loss: 1.2421 caption_loss_cls: 2.1833 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2792 instance_segmentation_loss_poly: 0.7340 detection_loss_cls: 0.0447 detection_loss_reg: 0.4132 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5658 2023/11/06 05:39:42 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 05:39:42 - mmengine - INFO - Iter(train) [295000/320000] base_lr: 4.9671e-06 lr: 3.1689e-06 eta: 12:47:18 time: 2.1708 data_time: 0.1286 memory: 26535 grad_norm: 1.5612 loss: 1.2425 caption_loss_cls: 2.1809 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2788 instance_segmentation_loss_poly: 0.7335 detection_loss_cls: 0.0447 detection_loss_reg: 0.4137 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5652 2023/11/06 05:39:42 - mmengine - INFO - Saving checkpoint at 295000 iterations 2023/11/06 05:44:05 - mmengine - INFO - Iter(train) [295100/320000] base_lr: 4.9436e-06 lr: 3.1596e-06 eta: 13:13:56 time: 2.1617 data_time: 0.1285 memory: 25857 grad_norm: 1.5621 loss: 1.2397 caption_loss_cls: 2.1822 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2792 instance_segmentation_loss_poly: 0.7339 detection_loss_cls: 0.0446 detection_loss_reg: 0.4134 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5657 2023/11/06 05:47:21 - mmengine - INFO - Iter(train) [295200/320000] base_lr: 4.9201e-06 lr: 3.1503e-06 eta: 13:12:18 time: 2.1583 data_time: 0.1285 memory: 26535 grad_norm: 1.5540 loss: 1.2363 caption_loss_cls: 2.1822 instance_segmentation_loss_cls: 0.0303 instance_segmentation_loss_reg: 0.2796 instance_segmentation_loss_poly: 0.7348 detection_loss_cls: 0.0447 detection_loss_reg: 0.4140 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5666 2023/11/06 05:50:40 - mmengine - INFO - Iter(train) [295300/320000] base_lr: 4.8967e-06 lr: 3.1411e-06 eta: 13:11:19 time: 2.1523 data_time: 0.1285 memory: 25857 grad_norm: 1.5385 loss: 1.2384 caption_loss_cls: 2.1813 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2791 instance_segmentation_loss_poly: 0.7339 detection_loss_cls: 0.0447 detection_loss_reg: 0.4139 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5673 2023/11/06 05:53:41 - mmengine - INFO - Iter(train) [295400/320000] base_lr: 4.8734e-06 lr: 3.1320e-06 eta: 13:04:57 time: 2.1339 data_time: 0.1283 memory: 26535 grad_norm: 1.5508 loss: 1.2450 caption_loss_cls: 2.1817 instance_segmentation_loss_cls: 0.0302 instance_segmentation_loss_reg: 0.2783 instance_segmentation_loss_poly: 0.7327 detection_loss_cls: 0.0447 detection_loss_reg: 0.4136 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5691 2023/11/06 05:56:45 - mmengine - INFO - Iter(train) [295500/320000] base_lr: 4.8502e-06 lr: 3.1228e-06 eta: 12:59:45 time: 2.1252 data_time: 0.1282 memory: 25857 grad_norm: 1.5506 loss: 1.2404 caption_loss_cls: 2.1816 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2781 instance_segmentation_loss_poly: 0.7324 detection_loss_cls: 0.0446 detection_loss_reg: 0.4133 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5669 2023/11/06 05:56:45 - mmengine - INFO - Saving checkpoint at 295500 iterations 2023/11/06 06:01:02 - mmengine - INFO - Iter(train) [295600/320000] base_lr: 4.8271e-06 lr: 3.1137e-06 eta: 13:13:17 time: 2.1258 data_time: 0.1281 memory: 25857 grad_norm: 1.5379 loss: 1.2290 caption_loss_cls: 2.1802 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2776 instance_segmentation_loss_poly: 0.7313 detection_loss_cls: 0.0445 detection_loss_reg: 0.4131 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5659 2023/11/06 06:05:05 - mmengine - INFO - Iter(train) [295700/320000] base_lr: 4.8041e-06 lr: 3.1046e-06 eta: 13:21:23 time: 2.1304 data_time: 0.1286 memory: 25857 grad_norm: 1.5473 loss: 1.2287 caption_loss_cls: 2.1785 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7283 detection_loss_cls: 0.0445 detection_loss_reg: 0.4131 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5638 2023/11/06 06:08:47 - mmengine - INFO - Iter(train) [295800/320000] base_lr: 4.7812e-06 lr: 3.0956e-06 eta: 13:23:25 time: 2.1282 data_time: 0.1286 memory: 26535 grad_norm: 1.5556 loss: 1.2327 caption_loss_cls: 2.1795 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2764 instance_segmentation_loss_poly: 0.7277 detection_loss_cls: 0.0445 detection_loss_reg: 0.4125 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5626 2023/11/06 06:12:20 - mmengine - INFO - Iter(train) [295900/320000] base_lr: 4.7583e-06 lr: 3.0866e-06 eta: 13:22:59 time: 2.1277 data_time: 0.1285 memory: 25857 grad_norm: 1.5481 loss: 1.2284 caption_loss_cls: 2.1786 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2761 instance_segmentation_loss_poly: 0.7270 detection_loss_cls: 0.0443 detection_loss_reg: 0.4112 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5625 2023/11/06 06:15:32 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 06:15:32 - mmengine - INFO - Iter(train) [296000/320000] base_lr: 4.7356e-06 lr: 3.0777e-06 eta: 13:18:06 time: 2.1229 data_time: 0.1284 memory: 26535 grad_norm: 1.5430 loss: 1.2286 caption_loss_cls: 2.1794 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2767 instance_segmentation_loss_poly: 0.7285 detection_loss_cls: 0.0444 detection_loss_reg: 0.4121 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5624 2023/11/06 06:15:32 - mmengine - INFO - Saving checkpoint at 296000 iterations 2023/11/06 06:19:59 - mmengine - INFO - Iter(train) [296100/320000] base_lr: 4.7130e-06 lr: 3.0687e-06 eta: 13:27:31 time: 2.1222 data_time: 0.1280 memory: 26535 grad_norm: 1.5285 loss: 1.2241 caption_loss_cls: 2.1780 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7284 detection_loss_cls: 0.0445 detection_loss_reg: 0.4126 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5625 2023/11/06 06:23:29 - mmengine - INFO - Iter(train) [296200/320000] base_lr: 4.6904e-06 lr: 3.0599e-06 eta: 13:25:31 time: 2.1200 data_time: 0.1280 memory: 26535 grad_norm: 1.5363 loss: 1.2254 caption_loss_cls: 2.1762 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2773 instance_segmentation_loss_poly: 0.7292 detection_loss_cls: 0.0445 detection_loss_reg: 0.4126 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5601 2023/11/06 06:27:11 - mmengine - INFO - Iter(train) [296300/320000] base_lr: 4.6680e-06 lr: 3.0510e-06 eta: 13:25:19 time: 2.1126 data_time: 0.1254 memory: 26535 grad_norm: 1.5240 loss: 1.2194 caption_loss_cls: 2.1742 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2770 instance_segmentation_loss_poly: 0.7284 detection_loss_cls: 0.0444 detection_loss_reg: 0.4116 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5613 2023/11/06 06:30:27 - mmengine - INFO - Iter(train) [296400/320000] base_lr: 4.6456e-06 lr: 3.0422e-06 eta: 13:20:39 time: 2.1133 data_time: 0.1253 memory: 25857 grad_norm: 1.5246 loss: 1.2180 caption_loss_cls: 2.1753 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7280 detection_loss_cls: 0.0444 detection_loss_reg: 0.4119 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5628 2023/11/06 06:34:08 - mmengine - INFO - Iter(train) [296500/320000] base_lr: 4.6233e-06 lr: 3.0334e-06 eta: 13:20:01 time: 2.1105 data_time: 0.1252 memory: 26535 grad_norm: 1.5186 loss: 1.2131 caption_loss_cls: 2.1720 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2770 instance_segmentation_loss_poly: 0.7280 detection_loss_cls: 0.0444 detection_loss_reg: 0.4122 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5615 2023/11/06 06:34:08 - mmengine - INFO - Saving checkpoint at 296500 iterations 2023/11/06 06:38:47 - mmengine - INFO - Iter(train) [296600/320000] base_lr: 4.6011e-06 lr: 3.0247e-06 eta: 13:27:50 time: 2.1160 data_time: 0.1248 memory: 26535 grad_norm: 1.5112 loss: 1.2104 caption_loss_cls: 2.1709 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7279 detection_loss_cls: 0.0443 detection_loss_reg: 0.4115 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5630 2023/11/06 06:42:28 - mmengine - INFO - Iter(train) [296700/320000] base_lr: 4.5790e-06 lr: 3.0160e-06 eta: 13:26:18 time: 2.1136 data_time: 0.1247 memory: 26535 grad_norm: 1.5180 loss: 1.2115 caption_loss_cls: 2.1702 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2766 instance_segmentation_loss_poly: 0.7272 detection_loss_cls: 0.0443 detection_loss_reg: 0.4111 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5629 2023/11/06 06:46:15 - mmengine - INFO - Iter(train) [296800/320000] base_lr: 4.5571e-06 lr: 3.0073e-06 eta: 13:25:35 time: 2.1165 data_time: 0.1247 memory: 25857 grad_norm: 1.5283 loss: 1.2166 caption_loss_cls: 2.1710 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2767 instance_segmentation_loss_poly: 0.7274 detection_loss_cls: 0.0444 detection_loss_reg: 0.4122 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5617 2023/11/06 06:50:08 - mmengine - INFO - Iter(train) [296900/320000] base_lr: 4.5352e-06 lr: 2.9987e-06 eta: 13:25:20 time: 2.1204 data_time: 0.1246 memory: 26535 grad_norm: 1.5271 loss: 1.2155 caption_loss_cls: 2.1707 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2768 instance_segmentation_loss_poly: 0.7277 detection_loss_cls: 0.0444 detection_loss_reg: 0.4124 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5615 2023/11/06 06:53:41 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 06:53:41 - mmengine - INFO - Iter(train) [297000/320000] base_lr: 4.5133e-06 lr: 2.9901e-06 eta: 13:22:21 time: 2.1288 data_time: 0.1247 memory: 26535 grad_norm: 1.5164 loss: 1.2129 caption_loss_cls: 2.1708 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2769 instance_segmentation_loss_poly: 0.7278 detection_loss_cls: 0.0445 detection_loss_reg: 0.4130 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5613 2023/11/06 06:53:41 - mmengine - INFO - Saving checkpoint at 297000 iterations 2023/11/06 06:58:08 - mmengine - INFO - Iter(train) [297100/320000] base_lr: 4.4916e-06 lr: 2.9816e-06 eta: 13:25:55 time: 2.1178 data_time: 0.1243 memory: 26535 grad_norm: 1.5184 loss: 1.2177 caption_loss_cls: 2.1705 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2770 instance_segmentation_loss_poly: 0.7281 detection_loss_cls: 0.0444 detection_loss_reg: 0.4127 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5607 2023/11/06 07:01:47 - mmengine - INFO - Iter(train) [297200/320000] base_lr: 4.4700e-06 lr: 2.9730e-06 eta: 13:23:21 time: 2.1288 data_time: 0.1244 memory: 25857 grad_norm: 1.5140 loss: 1.2131 caption_loss_cls: 2.1702 instance_segmentation_loss_cls: 0.0301 instance_segmentation_loss_reg: 0.2770 instance_segmentation_loss_poly: 0.7274 detection_loss_cls: 0.0445 detection_loss_reg: 0.4136 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5594 2023/11/06 07:05:38 - mmengine - INFO - Iter(train) [297300/320000] base_lr: 4.4485e-06 lr: 2.9646e-06 eta: 13:22:03 time: 2.1335 data_time: 0.1245 memory: 25857 grad_norm: 1.5284 loss: 1.2155 caption_loss_cls: 2.1674 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2766 instance_segmentation_loss_poly: 0.7266 detection_loss_cls: 0.0444 detection_loss_reg: 0.4133 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5596 2023/11/06 07:09:12 - mmengine - INFO - Iter(train) [297400/320000] base_lr: 4.4270e-06 lr: 2.9561e-06 eta: 13:18:46 time: 2.1307 data_time: 0.1244 memory: 25857 grad_norm: 1.5419 loss: 1.2180 caption_loss_cls: 2.1661 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7258 detection_loss_cls: 0.0444 detection_loss_reg: 0.4128 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5594 2023/11/06 07:12:45 - mmengine - INFO - Iter(train) [297500/320000] base_lr: 4.4057e-06 lr: 2.9477e-06 eta: 13:15:17 time: 2.1322 data_time: 0.1244 memory: 25857 grad_norm: 1.5452 loss: 1.2239 caption_loss_cls: 2.1700 instance_segmentation_loss_cls: 0.0300 instance_segmentation_loss_reg: 0.2764 instance_segmentation_loss_poly: 0.7260 detection_loss_cls: 0.0444 detection_loss_reg: 0.4126 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5617 2023/11/06 07:12:45 - mmengine - INFO - Saving checkpoint at 297500 iterations 2023/11/06 07:17:15 - mmengine - INFO - Iter(train) [297600/320000] base_lr: 4.3845e-06 lr: 2.9393e-06 eta: 13:17:47 time: 2.1319 data_time: 0.1242 memory: 25857 grad_norm: 1.5549 loss: 1.2229 caption_loss_cls: 2.1693 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2766 instance_segmentation_loss_poly: 0.7265 detection_loss_cls: 0.0443 detection_loss_reg: 0.4117 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5612 2023/11/06 07:21:17 - mmengine - INFO - Iter(train) [297700/320000] base_lr: 4.3633e-06 lr: 2.9310e-06 eta: 13:17:00 time: 2.1398 data_time: 0.1241 memory: 25857 grad_norm: 1.5577 loss: 1.2243 caption_loss_cls: 2.1678 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2759 instance_segmentation_loss_poly: 0.7246 detection_loss_cls: 0.0444 detection_loss_reg: 0.4122 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5613 2023/11/06 07:25:05 - mmengine - INFO - Iter(train) [297800/320000] base_lr: 4.3422e-06 lr: 2.9227e-06 eta: 13:14:45 time: 2.1457 data_time: 0.1240 memory: 25857 grad_norm: 1.5477 loss: 1.2197 caption_loss_cls: 2.1684 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2760 instance_segmentation_loss_poly: 0.7248 detection_loss_cls: 0.0445 detection_loss_reg: 0.4130 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5624 2023/11/06 07:29:04 - mmengine - INFO - Iter(train) [297900/320000] base_lr: 4.3213e-06 lr: 2.9144e-06 eta: 13:13:29 time: 2.1545 data_time: 0.1241 memory: 26535 grad_norm: 1.5435 loss: 1.2137 caption_loss_cls: 2.1707 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2761 instance_segmentation_loss_poly: 0.7256 detection_loss_cls: 0.0444 detection_loss_reg: 0.4125 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5616 2023/11/06 07:33:05 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 07:33:05 - mmengine - INFO - Iter(train) [298000/320000] base_lr: 4.3004e-06 lr: 2.9062e-06 eta: 13:12:15 time: 2.1607 data_time: 0.1249 memory: 25857 grad_norm: 1.5413 loss: 1.2174 caption_loss_cls: 2.1706 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2761 instance_segmentation_loss_poly: 0.7260 detection_loss_cls: 0.0443 detection_loss_reg: 0.4116 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5613 2023/11/06 07:33:05 - mmengine - INFO - Saving checkpoint at 298000 iterations 2023/11/06 07:38:06 - mmengine - INFO - Iter(train) [298100/320000] base_lr: 4.2796e-06 lr: 2.8980e-06 eta: 13:16:12 time: 2.2008 data_time: 0.1403 memory: 26535 grad_norm: 1.5432 loss: 1.2202 caption_loss_cls: 2.1679 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7265 detection_loss_cls: 0.0443 detection_loss_reg: 0.4120 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5610 2023/11/06 07:41:57 - mmengine - INFO - Iter(train) [298200/320000] base_lr: 4.2589e-06 lr: 2.8899e-06 eta: 13:13:41 time: 2.2168 data_time: 0.1403 memory: 26535 grad_norm: 1.5436 loss: 1.2197 caption_loss_cls: 2.1686 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7266 detection_loss_cls: 0.0444 detection_loss_reg: 0.4122 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5604 2023/11/06 07:45:19 - mmengine - INFO - Iter(train) [298300/320000] base_lr: 4.2383e-06 lr: 2.8818e-06 eta: 13:08:39 time: 2.2225 data_time: 0.1404 memory: 26535 grad_norm: 1.5501 loss: 1.2234 caption_loss_cls: 2.1704 instance_segmentation_loss_cls: 0.0299 instance_segmentation_loss_reg: 0.2763 instance_segmentation_loss_poly: 0.7266 detection_loss_cls: 0.0443 detection_loss_reg: 0.4117 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5581 2023/11/06 07:49:15 - mmengine - INFO - Iter(train) [298400/320000] base_lr: 4.2178e-06 lr: 2.8737e-06 eta: 13:06:28 time: 2.2393 data_time: 0.1404 memory: 26535 grad_norm: 1.5494 loss: 1.2169 caption_loss_cls: 2.1704 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2761 instance_segmentation_loss_poly: 0.7263 detection_loss_cls: 0.0443 detection_loss_reg: 0.4118 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5583 2023/11/06 07:52:46 - mmengine - INFO - Iter(train) [298500/320000] base_lr: 4.1974e-06 lr: 2.8656e-06 eta: 13:02:12 time: 2.2438 data_time: 0.1403 memory: 26535 grad_norm: 1.5482 loss: 1.2215 caption_loss_cls: 2.1710 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2759 instance_segmentation_loss_poly: 0.7258 detection_loss_cls: 0.0443 detection_loss_reg: 0.4119 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5571 2023/11/06 07:52:46 - mmengine - INFO - Saving checkpoint at 298500 iterations 2023/11/06 07:57:10 - mmengine - INFO - Iter(train) [298600/320000] base_lr: 4.1771e-06 lr: 2.8576e-06 eta: 13:02:07 time: 2.2508 data_time: 0.1409 memory: 25857 grad_norm: 1.5386 loss: 1.2193 caption_loss_cls: 2.1689 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2761 instance_segmentation_loss_poly: 0.7266 detection_loss_cls: 0.0443 detection_loss_reg: 0.4118 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5583 2023/11/06 08:00:48 - mmengine - INFO - Iter(train) [298700/320000] base_lr: 4.1569e-06 lr: 2.8497e-06 eta: 12:58:22 time: 2.2495 data_time: 0.1407 memory: 25857 grad_norm: 1.5285 loss: 1.2126 caption_loss_cls: 2.1703 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2757 instance_segmentation_loss_poly: 0.7256 detection_loss_cls: 0.0442 detection_loss_reg: 0.4115 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5590 2023/11/06 08:04:24 - mmengine - INFO - Iter(train) [298800/320000] base_lr: 4.1367e-06 lr: 2.8417e-06 eta: 12:54:29 time: 2.2586 data_time: 0.1406 memory: 25857 grad_norm: 1.5358 loss: 1.2125 caption_loss_cls: 2.1684 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2754 instance_segmentation_loss_poly: 0.7249 detection_loss_cls: 0.0443 detection_loss_reg: 0.4112 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5569 2023/11/06 08:08:09 - mmengine - INFO - Iter(train) [298900/320000] base_lr: 4.1167e-06 lr: 2.8338e-06 eta: 12:51:12 time: 2.2750 data_time: 0.1407 memory: 25857 grad_norm: 1.5330 loss: 1.2091 caption_loss_cls: 2.1666 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2751 instance_segmentation_loss_poly: 0.7245 detection_loss_cls: 0.0442 detection_loss_reg: 0.4108 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5567 2023/11/06 08:11:57 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 08:11:57 - mmengine - INFO - Iter(train) [299000/320000] base_lr: 4.0967e-06 lr: 2.8260e-06 eta: 12:48:10 time: 2.2831 data_time: 0.1407 memory: 26535 grad_norm: 1.5430 loss: 1.2102 caption_loss_cls: 2.1657 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2746 instance_segmentation_loss_poly: 0.7229 detection_loss_cls: 0.0441 detection_loss_reg: 0.4099 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5564 2023/11/06 08:11:57 - mmengine - INFO - Saving checkpoint at 299000 iterations 2023/11/06 08:17:10 - mmengine - INFO - Iter(train) [299100/320000] base_lr: 4.0769e-06 lr: 2.8182e-06 eta: 12:50:55 time: 2.2957 data_time: 0.1403 memory: 26535 grad_norm: 1.5470 loss: 1.2116 caption_loss_cls: 2.1656 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2747 instance_segmentation_loss_poly: 0.7227 detection_loss_cls: 0.0440 detection_loss_reg: 0.4094 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5575 2023/11/06 08:20:55 - mmengine - INFO - Iter(train) [299200/320000] base_lr: 4.0571e-06 lr: 2.8104e-06 eta: 12:47:26 time: 2.3028 data_time: 0.1403 memory: 26535 grad_norm: 1.5610 loss: 1.2155 caption_loss_cls: 2.1677 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2746 instance_segmentation_loss_poly: 0.7233 detection_loss_cls: 0.0439 detection_loss_reg: 0.4088 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5579 2023/11/06 08:24:42 - mmengine - INFO - Iter(train) [299300/320000] base_lr: 4.0375e-06 lr: 2.8026e-06 eta: 12:44:07 time: 2.3099 data_time: 0.1403 memory: 25857 grad_norm: 1.5590 loss: 1.2125 caption_loss_cls: 2.1654 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2750 instance_segmentation_loss_poly: 0.7244 detection_loss_cls: 0.0439 detection_loss_reg: 0.4077 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5585 2023/11/06 08:28:29 - mmengine - INFO - Iter(train) [299400/320000] base_lr: 4.0179e-06 lr: 2.7949e-06 eta: 12:40:47 time: 2.3214 data_time: 0.1404 memory: 26535 grad_norm: 1.5501 loss: 1.2078 caption_loss_cls: 2.1663 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2755 instance_segmentation_loss_poly: 0.7252 detection_loss_cls: 0.0437 detection_loss_reg: 0.4070 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5617 2023/11/06 08:32:14 - mmengine - INFO - Iter(train) [299500/320000] base_lr: 3.9984e-06 lr: 2.7873e-06 eta: 12:37:18 time: 2.3316 data_time: 0.1405 memory: 26535 grad_norm: 1.5483 loss: 1.2084 caption_loss_cls: 2.1673 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2752 instance_segmentation_loss_poly: 0.7247 detection_loss_cls: 0.0438 detection_loss_reg: 0.4074 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5609 2023/11/06 08:32:14 - mmengine - INFO - Saving checkpoint at 299500 iterations 2023/11/06 08:37:40 - mmengine - INFO - Iter(train) [299600/320000] base_lr: 3.9790e-06 lr: 2.7796e-06 eta: 12:39:54 time: 2.3488 data_time: 0.1416 memory: 26535 grad_norm: 1.5463 loss: 1.2132 caption_loss_cls: 2.1670 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2753 instance_segmentation_loss_poly: 0.7247 detection_loss_cls: 0.0439 detection_loss_reg: 0.4073 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5623 2023/11/06 08:41:18 - mmengine - INFO - Iter(train) [299700/320000] base_lr: 3.9598e-06 lr: 2.7720e-06 eta: 12:35:51 time: 2.3426 data_time: 0.1410 memory: 25857 grad_norm: 1.5461 loss: 1.2125 caption_loss_cls: 2.1658 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2749 instance_segmentation_loss_poly: 0.7239 detection_loss_cls: 0.0438 detection_loss_reg: 0.4072 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5608 2023/11/06 08:44:58 - mmengine - INFO - Iter(train) [299800/320000] base_lr: 3.9406e-06 lr: 2.7645e-06 eta: 12:31:58 time: 2.3423 data_time: 0.1409 memory: 26535 grad_norm: 1.5353 loss: 1.2054 caption_loss_cls: 2.1680 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2749 instance_segmentation_loss_poly: 0.7238 detection_loss_cls: 0.0438 detection_loss_reg: 0.4069 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5594 2023/11/06 08:49:16 - mmengine - INFO - Iter(train) [299900/320000] base_lr: 3.9215e-06 lr: 2.7569e-06 eta: 12:30:11 time: 2.3535 data_time: 0.1413 memory: 25857 grad_norm: 1.5378 loss: 1.2089 caption_loss_cls: 2.1704 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2747 instance_segmentation_loss_poly: 0.7237 detection_loss_cls: 0.0438 detection_loss_reg: 0.4063 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5593 2023/11/06 08:53:30 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 08:53:30 - mmengine - INFO - Iter(train) [300000/320000] base_lr: 3.9024e-06 lr: 2.7494e-06 eta: 12:28:07 time: 2.3689 data_time: 0.1412 memory: 25857 grad_norm: 1.5434 loss: 1.1995 caption_loss_cls: 2.1686 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2742 instance_segmentation_loss_poly: 0.7223 detection_loss_cls: 0.0437 detection_loss_reg: 0.4058 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5583 2023/11/06 08:53:30 - mmengine - INFO - Saving checkpoint at 300000 iterations 2023/11/06 08:58:08 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.3898 data_time: 0.0286 memory: 14019 2023/11/06 08:58:58 - mmengine - INFO - Evaluating bbox... 2023/11/06 09:00:00 - mmengine - INFO - bbox_mAP_copypaste: 0.501 0.674 0.547 0.336 0.545 0.650 2023/11/06 09:00:00 - mmengine - INFO - Evaluating segm... 2023/11/06 09:01:18 - mmengine - INFO - segm_mAP_copypaste: 0.329 0.580 0.325 0.184 0.372 0.506 2023/11/06 09:02:15 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3618 data_time: 0.0271 memory: 14019 2023/11/06 09:03:20 - mmengine - INFO - Evaluating bbox... 2023/11/06 09:04:26 - mmengine - INFO - bbox_mAP_copypaste: 0.500 0.674 0.545 0.333 0.543 0.650 2023/11/06 09:06:47 - mmengine - INFO - per class results: 2023/11/06 09:06:47 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.97 | 87.81 | | building | 81.65 | 92.21 | | sky | 93.25 | 97.51 | | floor | 81.44 | 88.89 | | tree | 73.15 | 87.03 | | ceiling | 82.63 | 92.48 | | road | 83.23 | 89.25 | | bed | 88.04 | 94.72 | | windowpane | 62.17 | 79.62 | | grass | 70.86 | 85.19 | | cabinet | 60.31 | 74.19 | | sidewalk | 65.65 | 78.87 | | person | 80.24 | 90.94 | | earth | 38.93 | 49.8 | | door | 51.99 | 68.64 | | table | 58.83 | 74.22 | | mountain | 60.24 | 76.11 | | plant | 50.65 | 64.16 | | curtain | 71.18 | 86.22 | | chair | 55.46 | 70.46 | | car | 80.95 | 92.02 | | water | 56.74 | 73.01 | | painting | 70.55 | 87.1 | | sofa | 67.45 | 82.1 | | shelf | 43.57 | 62.22 | | house | 43.92 | 59.91 | | sea | 66.05 | 87.91 | | mirror | 62.72 | 72.25 | | rug | 66.51 | 76.22 | | field | 32.98 | 51.54 | | armchair | 44.27 | 64.88 | | seat | 63.27 | 80.12 | | fence | 44.68 | 61.17 | | desk | 47.14 | 63.37 | | rock | 42.53 | 60.86 | | wardrobe | 54.29 | 68.46 | | lamp | 59.88 | 75.53 | | bathtub | 77.56 | 85.02 | | railing | 36.22 | 46.79 | | cushion | 52.75 | 67.43 | | base | 26.91 | 39.93 | | box | 27.53 | 35.81 | | column | 43.6 | 55.4 | | signboard | 35.78 | 46.6 | | chest of drawers | 38.8 | 61.31 | | counter | 34.52 | 45.09 | | sand | 54.35 | 75.87 | | sink | 70.9 | 81.93 | | skyscraper | 40.11 | 46.7 | | fireplace | 68.14 | 85.24 | | refrigerator | 72.04 | 85.01 | | grandstand | 39.16 | 75.61 | | path | 25.15 | 33.86 | | stairs | 34.33 | 42.81 | | runway | 68.18 | 86.61 | | case | 49.53 | 59.95 | | pool table | 89.52 | 96.27 | | pillow | 53.51 | 68.96 | | screen door | 67.83 | 79.05 | | stairway | 31.35 | 43.48 | | river | 20.39 | 28.35 | | bridge | 62.48 | 86.05 | | bookcase | 34.45 | 56.29 | | blind | 30.91 | 33.51 | | coffee table | 60.87 | 83.37 | | toilet | 81.83 | 91.08 | | flower | 35.2 | 52.48 | | book | 44.74 | 66.15 | | hill | 10.58 | 15.48 | | bench | 46.59 | 60.07 | | countertop | 54.72 | 69.25 | | stove | 72.32 | 84.19 | | palm | 48.97 | 65.73 | | kitchen island | 33.26 | 64.54 | | computer | 71.48 | 86.35 | | swivel chair | 39.69 | 58.44 | | boat | 67.73 | 82.2 | | bar | 31.82 | 36.9 | | arcade machine | 61.02 | 64.3 | | hovel | 40.81 | 45.89 | | bus | 92.07 | 95.76 | | towel | 57.1 | 75.16 | | light | 41.38 | 47.73 | | truck | 39.98 | 63.27 | | tower | 31.43 | 51.87 | | chandelier | 66.12 | 79.87 | | awning | 31.85 | 34.73 | | streetlight | 31.48 | 38.57 | | booth | 43.36 | 48.34 | | television receiver | 68.77 | 83.27 | | airplane | 53.43 | 67.19 | | dirt track | 3.12 | 15.97 | | apparel | 27.87 | 40.52 | | pole | 27.96 | 42.72 | | land | 1.82 | 2.25 | | bannister | 5.27 | 7.57 | | escalator | 47.22 | 62.42 | | ottoman | 45.62 | 68.74 | | bottle | 26.52 | 32.19 | | buffet | 46.2 | 53.56 | | poster | 26.17 | 35.53 | | stage | 8.33 | 14.98 | | van | 11.48 | 13.04 | | ship | 75.38 | 83.66 | | fountain | 12.96 | 14.04 | | conveyer belt | 73.11 | 91.55 | | canopy | 26.06 | 30.32 | | washer | 57.01 | 58.41 | | plaything | 31.1 | 43.74 | | swimming pool | 60.58 | 85.37 | | stool | 46.46 | 60.78 | | barrel | 22.92 | 63.56 | | basket | 28.87 | 43.38 | | waterfall | 52.52 | 58.65 | | tent | 81.28 | 96.89 | | bag | 14.19 | 16.26 | | minibike | 71.07 | 85.67 | | cradle | 74.15 | 91.25 | | oven | 45.17 | 58.06 | | ball | 46.07 | 69.79 | | food | 56.44 | 68.92 | | step | 11.09 | 12.99 | | tank | 45.02 | 58.66 | | trade name | 23.46 | 25.88 | | microwave | 83.33 | 91.11 | | pot | 40.02 | 45.93 | | animal | 63.93 | 68.96 | | bicycle | 58.99 | 80.64 | | lake | 14.43 | 16.64 | | dishwasher | 53.95 | 69.38 | | screen | 55.89 | 83.33 | | blanket | 7.36 | 8.81 | | sculpture | 47.05 | 59.75 | | hood | 52.07 | 59.47 | | sconce | 33.7 | 42.15 | | vase | 38.97 | 54.36 | | traffic light | 34.19 | 47.79 | | tray | 7.37 | 12.32 | | ashcan | 38.42 | 53.97 | | fan | 55.27 | 67.96 | | pier | 46.55 | 50.98 | | crt screen | 4.91 | 11.32 | | plate | 52.59 | 67.92 | | monitor | 10.43 | 11.28 | | bulletin board | 40.48 | 51.68 | | shower | 3.47 | 5.52 | | radiator | 54.16 | 59.48 | | glass | 17.51 | 19.23 | | clock | 24.96 | 29.73 | | flag | 66.88 | 73.35 | +---------------------+-------+-------+ 2023/11/06 09:06:56 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.5000 coco/bbox_mAP_50: 0.6740 coco/bbox_mAP_75: 0.5450 coco/bbox_mAP_s: 0.3330 coco/bbox_mAP_m: 0.5430 coco/bbox_mAP_l: 0.6500 coco/segm_mAP: 0.3290 coco/segm_mAP_50: 0.5800 coco/segm_mAP_75: 0.3250 coco/segm_mAP_s: 0.1840 coco/segm_mAP_m: 0.3720 coco/segm_mAP_l: 0.5060 Bleu_1: 0.7618 Bleu_2: 0.5968 Bleu_3: 0.4554 Bleu_4: 0.3450 METEOR: 0.2789 ROUGE_L: 0.5659 CIDEr: 1.1446 SPICE: 0.2082 aAcc: 82.8700 mIoU: 48.1200 mAcc: 60.3900 visual-grounding/miou: 0.7945 visual-grounding/acc: 0.8609 data_time: 0.0394 time: 1.0651 2023/11/06 09:10:42 - mmengine - INFO - Iter(train) [300100/320000] base_lr: 3.8835e-06 lr: 2.7420e-06 eta: 12:24:38 time: 2.3596 data_time: 0.1272 memory: 26538 grad_norm: 1.5424 loss: 1.1979 caption_loss_cls: 2.1682 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2741 instance_segmentation_loss_poly: 0.7221 detection_loss_cls: 0.0438 detection_loss_reg: 0.4057 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5587 2023/11/06 09:14:09 - mmengine - INFO - Iter(train) [300200/320000] base_lr: 3.8647e-06 lr: 2.7346e-06 eta: 12:19:55 time: 2.3585 data_time: 0.1272 memory: 25858 grad_norm: 1.5442 loss: 1.1993 caption_loss_cls: 2.1679 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2741 instance_segmentation_loss_poly: 0.7222 detection_loss_cls: 0.0438 detection_loss_reg: 0.4054 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5579 2023/11/06 09:17:39 - mmengine - INFO - Iter(train) [300300/320000] base_lr: 3.8460e-06 lr: 2.7272e-06 eta: 12:15:26 time: 2.3556 data_time: 0.1272 memory: 26538 grad_norm: 1.5626 loss: 1.2003 caption_loss_cls: 2.1659 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2729 instance_segmentation_loss_poly: 0.7207 detection_loss_cls: 0.0438 detection_loss_reg: 0.4053 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5560 2023/11/06 09:20:52 - mmengine - INFO - Iter(train) [300400/320000] base_lr: 3.8273e-06 lr: 2.7199e-06 eta: 12:10:09 time: 2.3549 data_time: 0.1272 memory: 26538 grad_norm: 1.5623 loss: 1.2011 caption_loss_cls: 2.1661 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2728 instance_segmentation_loss_poly: 0.7204 detection_loss_cls: 0.0438 detection_loss_reg: 0.4055 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5551 2023/11/06 09:24:27 - mmengine - INFO - Iter(train) [300500/320000] base_lr: 3.8088e-06 lr: 2.7126e-06 eta: 12:06:00 time: 2.3534 data_time: 0.1273 memory: 25858 grad_norm: 1.5653 loss: 1.2034 caption_loss_cls: 2.1668 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2734 instance_segmentation_loss_poly: 0.7211 detection_loss_cls: 0.0439 detection_loss_reg: 0.4059 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5522 2023/11/06 09:24:27 - mmengine - INFO - Saving checkpoint at 300500 iterations 2023/11/06 09:28:51 - mmengine - INFO - Iter(train) [300600/320000] base_lr: 3.7904e-06 lr: 2.7053e-06 eta: 12:04:16 time: 2.3496 data_time: 0.1272 memory: 25858 grad_norm: 1.5636 loss: 1.2004 caption_loss_cls: 2.1664 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.7214 detection_loss_cls: 0.0439 detection_loss_reg: 0.4056 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5538 2023/11/06 09:32:33 - mmengine - INFO - Iter(train) [300700/320000] base_lr: 3.7720e-06 lr: 2.6981e-06 eta: 12:00:26 time: 2.3500 data_time: 0.1272 memory: 26538 grad_norm: 1.5576 loss: 1.1985 caption_loss_cls: 2.1648 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2732 instance_segmentation_loss_poly: 0.7212 detection_loss_cls: 0.0440 detection_loss_reg: 0.4062 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5530 2023/11/06 09:36:12 - mmengine - INFO - Iter(train) [300800/320000] base_lr: 3.7537e-06 lr: 2.6909e-06 eta: 11:56:28 time: 2.3479 data_time: 0.1272 memory: 25858 grad_norm: 1.5500 loss: 1.1964 caption_loss_cls: 2.1664 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2738 instance_segmentation_loss_poly: 0.7229 detection_loss_cls: 0.0440 detection_loss_reg: 0.4064 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5526 2023/11/06 09:39:57 - mmengine - INFO - Iter(train) [300900/320000] base_lr: 3.7356e-06 lr: 2.6837e-06 eta: 11:52:46 time: 2.3459 data_time: 0.1277 memory: 26538 grad_norm: 1.5554 loss: 1.1997 caption_loss_cls: 2.1657 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2734 instance_segmentation_loss_poly: 0.7222 detection_loss_cls: 0.0440 detection_loss_reg: 0.4068 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5539 2023/11/06 09:43:08 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 09:43:08 - mmengine - INFO - Iter(train) [301000/320000] base_lr: 3.7175e-06 lr: 2.6766e-06 eta: 11:47:32 time: 2.3403 data_time: 0.1277 memory: 25858 grad_norm: 1.5639 loss: 1.2047 caption_loss_cls: 2.1682 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2733 instance_segmentation_loss_poly: 0.7220 detection_loss_cls: 0.0439 detection_loss_reg: 0.4064 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5550 2023/11/06 09:43:08 - mmengine - INFO - Saving checkpoint at 301000 iterations 2023/11/06 09:47:37 - mmengine - INFO - Iter(train) [301100/320000] base_lr: 3.6995e-06 lr: 2.6695e-06 eta: 11:45:51 time: 2.3410 data_time: 0.1285 memory: 25858 grad_norm: 1.5609 loss: 1.2059 caption_loss_cls: 2.1693 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2734 instance_segmentation_loss_poly: 0.7224 detection_loss_cls: 0.0438 detection_loss_reg: 0.4061 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5560 2023/11/06 09:50:46 - mmengine - INFO - Iter(train) [301200/320000] base_lr: 3.6816e-06 lr: 2.6625e-06 eta: 11:40:34 time: 2.3333 data_time: 0.1284 memory: 25858 grad_norm: 1.5560 loss: 1.2035 caption_loss_cls: 2.1695 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2736 instance_segmentation_loss_poly: 0.7226 detection_loss_cls: 0.0440 detection_loss_reg: 0.4061 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5568 2023/11/06 09:54:17 - mmengine - INFO - Iter(train) [301300/320000] base_lr: 3.6639e-06 lr: 2.6555e-06 eta: 11:36:18 time: 2.3284 data_time: 0.1282 memory: 25858 grad_norm: 1.5378 loss: 1.1999 caption_loss_cls: 2.1668 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2734 instance_segmentation_loss_poly: 0.7226 detection_loss_cls: 0.0439 detection_loss_reg: 0.4061 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5561 2023/11/06 09:57:56 - mmengine - INFO - Iter(train) [301400/320000] base_lr: 3.6462e-06 lr: 2.6485e-06 eta: 11:32:24 time: 2.3296 data_time: 0.1282 memory: 25858 grad_norm: 1.5320 loss: 1.1998 caption_loss_cls: 2.1662 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.7227 detection_loss_cls: 0.0439 detection_loss_reg: 0.4059 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5561 2023/11/06 10:01:37 - mmengine - INFO - Iter(train) [301500/320000] base_lr: 3.6285e-06 lr: 2.6415e-06 eta: 11:28:35 time: 2.3317 data_time: 0.1283 memory: 25858 grad_norm: 1.5377 loss: 1.1978 caption_loss_cls: 2.1651 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2744 instance_segmentation_loss_poly: 0.7245 detection_loss_cls: 0.0438 detection_loss_reg: 0.4056 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5561 2023/11/06 10:01:37 - mmengine - INFO - Saving checkpoint at 301500 iterations 2023/11/06 10:06:18 - mmengine - INFO - Iter(train) [301600/320000] base_lr: 3.6110e-06 lr: 2.6347e-06 eta: 11:27:10 time: 2.3343 data_time: 0.1288 memory: 26538 grad_norm: 1.5294 loss: 1.2007 caption_loss_cls: 2.1665 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2743 instance_segmentation_loss_poly: 0.7244 detection_loss_cls: 0.0439 detection_loss_reg: 0.4065 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5562 2023/11/06 10:09:48 - mmengine - INFO - Iter(train) [301700/320000] base_lr: 3.5936e-06 lr: 2.6278e-06 eta: 11:22:54 time: 2.3265 data_time: 0.1289 memory: 25858 grad_norm: 1.5282 loss: 1.2006 caption_loss_cls: 2.1668 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2743 instance_segmentation_loss_poly: 0.7243 detection_loss_cls: 0.0440 detection_loss_reg: 0.4064 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5543 2023/11/06 10:15:14 - mmengine - INFO - Iter(train) [301800/320000] base_lr: 3.5763e-06 lr: 2.6210e-06 eta: 11:23:07 time: 2.3510 data_time: 0.1304 memory: 25858 grad_norm: 1.5206 loss: 1.1980 caption_loss_cls: 2.1679 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2743 instance_segmentation_loss_poly: 0.7246 detection_loss_cls: 0.0440 detection_loss_reg: 0.4067 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5535 2023/11/06 10:18:37 - mmengine - INFO - Iter(train) [301900/320000] base_lr: 3.5591e-06 lr: 2.6142e-06 eta: 11:18:30 time: 2.3418 data_time: 0.1302 memory: 26538 grad_norm: 1.5309 loss: 1.2032 caption_loss_cls: 2.1669 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2743 instance_segmentation_loss_poly: 0.7246 detection_loss_cls: 0.0440 detection_loss_reg: 0.4066 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5540 2023/11/06 10:21:49 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 10:21:49 - mmengine - INFO - Iter(train) [302000/320000] base_lr: 3.5419e-06 lr: 2.6074e-06 eta: 11:13:32 time: 2.3296 data_time: 0.1295 memory: 26538 grad_norm: 1.5333 loss: 1.2019 caption_loss_cls: 2.1665 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2744 instance_segmentation_loss_poly: 0.7244 detection_loss_cls: 0.0440 detection_loss_reg: 0.4066 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5514 2023/11/06 10:21:49 - mmengine - INFO - Saving checkpoint at 302000 iterations 2023/11/06 10:26:46 - mmengine - INFO - Iter(train) [302100/320000] base_lr: 3.5249e-06 lr: 2.6007e-06 eta: 11:12:27 time: 2.3285 data_time: 0.1294 memory: 25858 grad_norm: 1.5285 loss: 1.1972 caption_loss_cls: 2.1667 instance_segmentation_loss_cls: 0.0298 instance_segmentation_loss_reg: 0.2747 instance_segmentation_loss_poly: 0.7249 detection_loss_cls: 0.0440 detection_loss_reg: 0.4061 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5509 2023/11/06 10:32:03 - mmengine - INFO - Iter(train) [302200/320000] base_lr: 3.5080e-06 lr: 2.5940e-06 eta: 11:12:00 time: 2.3499 data_time: 0.1315 memory: 25858 grad_norm: 1.5187 loss: 1.1916 caption_loss_cls: 2.1661 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2743 instance_segmentation_loss_poly: 0.7241 detection_loss_cls: 0.0440 detection_loss_reg: 0.4060 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5513 2023/11/06 10:35:54 - mmengine - INFO - Iter(train) [302300/320000] base_lr: 3.4911e-06 lr: 2.5874e-06 eta: 11:08:25 time: 2.3574 data_time: 0.1315 memory: 26538 grad_norm: 1.5125 loss: 1.1836 caption_loss_cls: 2.1643 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2740 instance_segmentation_loss_poly: 0.7245 detection_loss_cls: 0.0440 detection_loss_reg: 0.4058 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5508 2023/11/06 10:39:41 - mmengine - INFO - Iter(train) [302400/320000] base_lr: 3.4743e-06 lr: 2.5808e-06 eta: 11:04:39 time: 2.3552 data_time: 0.1315 memory: 25858 grad_norm: 1.5095 loss: 1.1877 caption_loss_cls: 2.1638 instance_segmentation_loss_cls: 0.0297 instance_segmentation_loss_reg: 0.2737 instance_segmentation_loss_poly: 0.7242 detection_loss_cls: 0.0440 detection_loss_reg: 0.4057 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5517 2023/11/06 10:43:00 - mmengine - INFO - Iter(train) [302500/320000] base_lr: 3.4577e-06 lr: 2.5742e-06 eta: 10:59:54 time: 2.3522 data_time: 0.1314 memory: 25858 grad_norm: 1.5091 loss: 1.1846 caption_loss_cls: 2.1649 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.7232 detection_loss_cls: 0.0441 detection_loss_reg: 0.4063 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5511 2023/11/06 10:43:00 - mmengine - INFO - Saving checkpoint at 302500 iterations 2023/11/06 10:47:21 - mmengine - INFO - Iter(train) [302600/320000] base_lr: 3.4411e-06 lr: 2.5677e-06 eta: 10:57:19 time: 2.3515 data_time: 0.1311 memory: 26538 grad_norm: 1.5157 loss: 1.1923 caption_loss_cls: 2.1636 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2735 instance_segmentation_loss_poly: 0.7233 detection_loss_cls: 0.0442 detection_loss_reg: 0.4068 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5515 2023/11/06 10:51:18 - mmengine - INFO - Iter(train) [302700/320000] base_lr: 3.4246e-06 lr: 2.5612e-06 eta: 10:53:52 time: 2.3561 data_time: 0.1313 memory: 26538 grad_norm: 1.5289 loss: 1.2020 caption_loss_cls: 2.1634 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2738 instance_segmentation_loss_poly: 0.7239 detection_loss_cls: 0.0443 detection_loss_reg: 0.4070 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5525 2023/11/06 10:55:04 - mmengine - INFO - Iter(train) [302800/320000] base_lr: 3.4083e-06 lr: 2.5548e-06 eta: 10:50:03 time: 2.3585 data_time: 0.1315 memory: 25858 grad_norm: 1.5371 loss: 1.2005 caption_loss_cls: 2.1635 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2737 instance_segmentation_loss_poly: 0.7232 detection_loss_cls: 0.0443 detection_loss_reg: 0.4067 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5513 2023/11/06 10:58:46 - mmengine - INFO - Iter(train) [302900/320000] base_lr: 3.3920e-06 lr: 2.5483e-06 eta: 10:46:07 time: 2.3578 data_time: 0.1315 memory: 26538 grad_norm: 1.5391 loss: 1.2025 caption_loss_cls: 2.1632 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2737 instance_segmentation_loss_poly: 0.7229 detection_loss_cls: 0.0442 detection_loss_reg: 0.4059 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5521 2023/11/06 11:01:58 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 11:01:58 - mmengine - INFO - Iter(train) [303000/320000] base_lr: 3.3758e-06 lr: 2.5420e-06 eta: 10:41:16 time: 2.3489 data_time: 0.1315 memory: 26538 grad_norm: 1.5268 loss: 1.2030 caption_loss_cls: 2.1655 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2739 instance_segmentation_loss_poly: 0.7238 detection_loss_cls: 0.0440 detection_loss_reg: 0.4054 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5515 2023/11/06 11:01:58 - mmengine - INFO - Saving checkpoint at 303000 iterations 2023/11/06 11:06:43 - mmengine - INFO - Iter(train) [303100/320000] base_lr: 3.3597e-06 lr: 2.5356e-06 eta: 10:39:18 time: 2.3418 data_time: 0.1320 memory: 26538 grad_norm: 1.5304 loss: 1.2040 caption_loss_cls: 2.1635 instance_segmentation_loss_cls: 0.0296 instance_segmentation_loss_reg: 0.2738 instance_segmentation_loss_poly: 0.7234 detection_loss_cls: 0.0440 detection_loss_reg: 0.4053 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5502 2023/11/06 11:11:18 - mmengine - INFO - Iter(train) [303200/320000] base_lr: 3.3437e-06 lr: 2.5293e-06 eta: 10:36:58 time: 2.3545 data_time: 0.1329 memory: 25858 grad_norm: 1.5137 loss: 1.1981 caption_loss_cls: 2.1663 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2736 instance_segmentation_loss_poly: 0.7226 detection_loss_cls: 0.0439 detection_loss_reg: 0.4044 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5504 2023/11/06 11:14:51 - mmengine - INFO - Iter(train) [303300/320000] base_lr: 3.3278e-06 lr: 2.5231e-06 eta: 10:32:45 time: 2.3510 data_time: 0.1328 memory: 25858 grad_norm: 1.5178 loss: 1.1969 caption_loss_cls: 2.1655 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2731 instance_segmentation_loss_poly: 0.7224 detection_loss_cls: 0.0439 detection_loss_reg: 0.4050 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5512 2023/11/06 11:18:54 - mmengine - INFO - Iter(train) [303400/320000] base_lr: 3.3119e-06 lr: 2.5168e-06 eta: 10:29:25 time: 2.3548 data_time: 0.1329 memory: 26538 grad_norm: 1.5177 loss: 1.1975 caption_loss_cls: 2.1654 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2730 instance_segmentation_loss_poly: 0.7217 detection_loss_cls: 0.0438 detection_loss_reg: 0.4044 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5514 2023/11/06 11:22:26 - mmengine - INFO - Iter(train) [303500/320000] base_lr: 3.2962e-06 lr: 2.5106e-06 eta: 10:25:11 time: 2.3516 data_time: 0.1330 memory: 25858 grad_norm: 1.5202 loss: 1.1989 caption_loss_cls: 2.1654 instance_segmentation_loss_cls: 0.0295 instance_segmentation_loss_reg: 0.2737 instance_segmentation_loss_poly: 0.7231 detection_loss_cls: 0.0437 detection_loss_reg: 0.4039 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5509 2023/11/06 11:22:26 - mmengine - INFO - Saving checkpoint at 303500 iterations 2023/11/06 11:26:40 - mmengine - INFO - Iter(train) [303600/320000] base_lr: 3.2806e-06 lr: 2.5045e-06 eta: 10:22:09 time: 2.3338 data_time: 0.1318 memory: 26538 grad_norm: 1.5315 loss: 1.1972 caption_loss_cls: 2.1661 instance_segmentation_loss_cls: 0.0294 instance_segmentation_loss_reg: 0.2732 instance_segmentation_loss_poly: 0.7222 detection_loss_cls: 0.0437 detection_loss_reg: 0.4045 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5504 2023/11/06 11:30:10 - mmengine - INFO - Iter(train) [303700/320000] base_lr: 3.2650e-06 lr: 2.4984e-06 eta: 10:17:51 time: 2.3317 data_time: 0.1318 memory: 25858 grad_norm: 1.5302 loss: 1.2014 caption_loss_cls: 2.1672 instance_segmentation_loss_cls: 0.0293 instance_segmentation_loss_reg: 0.2728 instance_segmentation_loss_poly: 0.7220 detection_loss_cls: 0.0437 detection_loss_reg: 0.4048 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5517 2023/11/06 11:33:51 - mmengine - INFO - Iter(train) [303800/320000] base_lr: 3.2496e-06 lr: 2.4923e-06 eta: 10:13:54 time: 2.3319 data_time: 0.1320 memory: 25858 grad_norm: 1.5304 loss: 1.2055 caption_loss_cls: 2.1705 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2724 instance_segmentation_loss_poly: 0.7207 detection_loss_cls: 0.0437 detection_loss_reg: 0.4048 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5516 2023/11/06 11:38:27 - mmengine - INFO - Iter(train) [303900/320000] base_lr: 3.2343e-06 lr: 2.4862e-06 eta: 10:11:25 time: 2.3364 data_time: 0.1344 memory: 26538 grad_norm: 1.5303 loss: 1.2067 caption_loss_cls: 2.1711 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2724 instance_segmentation_loss_poly: 0.7203 detection_loss_cls: 0.0437 detection_loss_reg: 0.4053 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5520 2023/11/06 11:41:54 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 11:41:54 - mmengine - INFO - Iter(train) [304000/320000] base_lr: 3.2190e-06 lr: 2.4802e-06 eta: 10:07:03 time: 2.3246 data_time: 0.1346 memory: 25858 grad_norm: 1.5195 loss: 1.2114 caption_loss_cls: 2.1715 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2724 instance_segmentation_loss_poly: 0.7205 detection_loss_cls: 0.0437 detection_loss_reg: 0.4054 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5503 2023/11/06 11:41:54 - mmengine - INFO - Saving checkpoint at 304000 iterations 2023/11/06 11:46:31 - mmengine - INFO - Iter(train) [304100/320000] base_lr: 3.2038e-06 lr: 2.4742e-06 eta: 10:04:34 time: 2.3366 data_time: 0.1493 memory: 26538 grad_norm: 1.5286 loss: 1.2104 caption_loss_cls: 2.1701 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2723 instance_segmentation_loss_poly: 0.7204 detection_loss_cls: 0.0436 detection_loss_reg: 0.4048 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5478 2023/11/06 11:50:05 - mmengine - INFO - Iter(train) [304200/320000] base_lr: 3.1888e-06 lr: 2.4683e-06 eta: 10:00:24 time: 2.3386 data_time: 0.1492 memory: 25858 grad_norm: 1.5220 loss: 1.2086 caption_loss_cls: 2.1710 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2722 instance_segmentation_loss_poly: 0.7201 detection_loss_cls: 0.0436 detection_loss_reg: 0.4042 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5481 2023/11/06 11:53:13 - mmengine - INFO - Iter(train) [304300/320000] base_lr: 3.1738e-06 lr: 2.4624e-06 eta: 9:55:34 time: 2.3329 data_time: 0.1492 memory: 25858 grad_norm: 1.5202 loss: 1.2080 caption_loss_cls: 2.1706 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2722 instance_segmentation_loss_poly: 0.7203 detection_loss_cls: 0.0436 detection_loss_reg: 0.4040 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5473 2023/11/06 11:57:08 - mmengine - INFO - Iter(train) [304400/320000] base_lr: 3.1589e-06 lr: 2.4566e-06 eta: 9:51:58 time: 2.3435 data_time: 0.1500 memory: 26538 grad_norm: 1.5222 loss: 1.2065 caption_loss_cls: 2.1711 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2721 instance_segmentation_loss_poly: 0.7195 detection_loss_cls: 0.0435 detection_loss_reg: 0.4036 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5455 2023/11/06 12:00:13 - mmengine - INFO - Iter(train) [304500/320000] base_lr: 3.1442e-06 lr: 2.4507e-06 eta: 9:47:07 time: 2.3359 data_time: 0.1500 memory: 25858 grad_norm: 1.5344 loss: 1.2138 caption_loss_cls: 2.1718 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2717 instance_segmentation_loss_poly: 0.7187 detection_loss_cls: 0.0435 detection_loss_reg: 0.4037 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5430 2023/11/06 12:00:14 - mmengine - INFO - Saving checkpoint at 304500 iterations 2023/11/06 12:05:18 - mmengine - INFO - Iter(train) [304600/320000] base_lr: 3.1295e-06 lr: 2.4449e-06 eta: 9:45:13 time: 2.3462 data_time: 0.1504 memory: 26538 grad_norm: 1.5354 loss: 1.2156 caption_loss_cls: 2.1725 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2714 instance_segmentation_loss_poly: 0.7187 detection_loss_cls: 0.0435 detection_loss_reg: 0.4026 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5420 2023/11/06 12:08:42 - mmengine - INFO - Iter(train) [304700/320000] base_lr: 3.1149e-06 lr: 2.4392e-06 eta: 9:40:50 time: 2.3415 data_time: 0.1503 memory: 26538 grad_norm: 1.5418 loss: 1.2199 caption_loss_cls: 2.1718 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.7176 detection_loss_cls: 0.0435 detection_loss_reg: 0.4021 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5429 2023/11/06 12:12:44 - mmengine - INFO - Iter(train) [304800/320000] base_lr: 3.1004e-06 lr: 2.4335e-06 eta: 9:37:21 time: 2.3472 data_time: 0.1503 memory: 26538 grad_norm: 1.5441 loss: 1.2181 caption_loss_cls: 2.1711 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.7166 detection_loss_cls: 0.0435 detection_loss_reg: 0.4012 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5436 2023/11/06 12:17:01 - mmengine - INFO - Iter(train) [304900/320000] base_lr: 3.0860e-06 lr: 2.4278e-06 eta: 9:34:14 time: 2.3554 data_time: 0.1499 memory: 25858 grad_norm: 1.5426 loss: 1.2175 caption_loss_cls: 2.1702 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.7168 detection_loss_cls: 0.0435 detection_loss_reg: 0.4016 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5431 2023/11/06 12:20:01 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 12:20:01 - mmengine - INFO - Iter(train) [305000/320000] base_lr: 3.0717e-06 lr: 2.4222e-06 eta: 9:29:21 time: 2.3528 data_time: 0.1498 memory: 26538 grad_norm: 1.5411 loss: 1.2108 caption_loss_cls: 2.1688 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.7167 detection_loss_cls: 0.0434 detection_loss_reg: 0.4015 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5394 2023/11/06 12:20:01 - mmengine - INFO - Saving checkpoint at 305000 iterations 2023/11/06 12:24:15 - mmengine - INFO - Iter(train) [305100/320000] base_lr: 3.0575e-06 lr: 2.4166e-06 eta: 9:26:07 time: 2.3487 data_time: 0.1496 memory: 25858 grad_norm: 1.5491 loss: 1.2083 caption_loss_cls: 2.1649 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.7172 detection_loss_cls: 0.0433 detection_loss_reg: 0.4008 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5379 2023/11/06 12:27:39 - mmengine - INFO - Iter(train) [305200/320000] base_lr: 3.0433e-06 lr: 2.4110e-06 eta: 9:21:49 time: 2.3529 data_time: 0.1497 memory: 26538 grad_norm: 1.5543 loss: 1.2130 caption_loss_cls: 2.1664 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.7181 detection_loss_cls: 0.0434 detection_loss_reg: 0.4006 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5367 2023/11/06 12:30:59 - mmengine - INFO - Iter(train) [305300/320000] base_lr: 3.0293e-06 lr: 2.4055e-06 eta: 9:17:25 time: 2.3500 data_time: 0.1498 memory: 25858 grad_norm: 1.5655 loss: 1.2181 caption_loss_cls: 2.1666 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.7175 detection_loss_cls: 0.0434 detection_loss_reg: 0.4014 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5368 2023/11/06 12:34:50 - mmengine - INFO - Iter(train) [305400/320000] base_lr: 3.0154e-06 lr: 2.4000e-06 eta: 9:13:41 time: 2.3528 data_time: 0.1499 memory: 26538 grad_norm: 1.5527 loss: 1.2171 caption_loss_cls: 2.1674 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.7179 detection_loss_cls: 0.0435 detection_loss_reg: 0.4024 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5367 2023/11/06 12:38:09 - mmengine - INFO - Iter(train) [305500/320000] base_lr: 3.0015e-06 lr: 2.3945e-06 eta: 9:09:17 time: 2.3473 data_time: 0.1498 memory: 26538 grad_norm: 1.5497 loss: 1.2156 caption_loss_cls: 2.1661 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.7177 detection_loss_cls: 0.0435 detection_loss_reg: 0.4022 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5371 2023/11/06 12:38:09 - mmengine - INFO - Saving checkpoint at 305500 iterations 2023/11/06 12:42:53 - mmengine - INFO - Iter(train) [305600/320000] base_lr: 2.9878e-06 lr: 2.3891e-06 eta: 9:06:40 time: 2.3482 data_time: 0.1493 memory: 25858 grad_norm: 1.5443 loss: 1.2145 caption_loss_cls: 2.1679 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2715 instance_segmentation_loss_poly: 0.7192 detection_loss_cls: 0.0435 detection_loss_reg: 0.4022 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5376 2023/11/06 12:47:09 - mmengine - INFO - Iter(train) [305700/320000] base_lr: 2.9741e-06 lr: 2.3838e-06 eta: 9:03:27 time: 2.3596 data_time: 0.1494 memory: 26538 grad_norm: 1.5394 loss: 1.2126 caption_loss_cls: 2.1687 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.7173 detection_loss_cls: 0.0437 detection_loss_reg: 0.4021 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5358 2023/11/06 12:50:55 - mmengine - INFO - Iter(train) [305800/320000] base_lr: 2.9606e-06 lr: 2.3784e-06 eta: 8:59:36 time: 2.3346 data_time: 0.1480 memory: 26538 grad_norm: 1.5486 loss: 1.2191 caption_loss_cls: 2.1697 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.7170 detection_loss_cls: 0.0436 detection_loss_reg: 0.4021 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5360 2023/11/06 12:54:30 - mmengine - INFO - Iter(train) [305900/320000] base_lr: 2.9471e-06 lr: 2.3731e-06 eta: 8:55:33 time: 2.3377 data_time: 0.1481 memory: 25858 grad_norm: 1.5404 loss: 1.2143 caption_loss_cls: 2.1703 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.7174 detection_loss_cls: 0.0436 detection_loss_reg: 0.4024 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5348 2023/11/06 12:57:47 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 12:57:47 - mmengine - INFO - Iter(train) [306000/320000] base_lr: 2.9338e-06 lr: 2.3678e-06 eta: 8:51:09 time: 2.3390 data_time: 0.1481 memory: 25858 grad_norm: 1.5401 loss: 1.2083 caption_loss_cls: 2.1705 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.7159 detection_loss_cls: 0.0436 detection_loss_reg: 0.4023 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5361 2023/11/06 12:57:47 - mmengine - INFO - Saving checkpoint at 306000 iterations 2023/11/06 13:03:28 - mmengine - INFO - Iter(train) [306100/320000] base_lr: 2.9205e-06 lr: 2.3626e-06 eta: 8:49:31 time: 2.3500 data_time: 0.1509 memory: 25858 grad_norm: 1.5537 loss: 1.2131 caption_loss_cls: 2.1694 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.7156 detection_loss_cls: 0.0437 detection_loss_reg: 0.4029 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5356 2023/11/06 13:06:44 - mmengine - INFO - Iter(train) [306200/320000] base_lr: 2.9073e-06 lr: 2.3574e-06 eta: 8:45:06 time: 2.3198 data_time: 0.1488 memory: 25858 grad_norm: 1.5670 loss: 1.2172 caption_loss_cls: 2.1671 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2705 instance_segmentation_loss_poly: 0.7158 detection_loss_cls: 0.0438 detection_loss_reg: 0.4034 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5356 2023/11/06 13:10:00 - mmengine - INFO - Iter(train) [306300/320000] base_lr: 2.8942e-06 lr: 2.3523e-06 eta: 8:40:41 time: 2.3107 data_time: 0.1486 memory: 25858 grad_norm: 1.5712 loss: 1.2220 caption_loss_cls: 2.1663 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.7147 detection_loss_cls: 0.0438 detection_loss_reg: 0.4034 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5338 2023/11/06 13:13:28 - mmengine - INFO - Iter(train) [306400/320000] base_lr: 2.8813e-06 lr: 2.3472e-06 eta: 8:36:32 time: 2.3061 data_time: 0.1485 memory: 25858 grad_norm: 1.5774 loss: 1.2235 caption_loss_cls: 2.1684 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.7142 detection_loss_cls: 0.0437 detection_loss_reg: 0.4034 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5333 2023/11/06 13:16:49 - mmengine - INFO - Iter(train) [306500/320000] base_lr: 2.8684e-06 lr: 2.3421e-06 eta: 8:32:15 time: 2.3067 data_time: 0.1486 memory: 25858 grad_norm: 1.5772 loss: 1.2286 caption_loss_cls: 2.1686 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.7145 detection_loss_cls: 0.0437 detection_loss_reg: 0.4029 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5339 2023/11/06 13:16:49 - mmengine - INFO - Saving checkpoint at 306500 iterations 2023/11/06 13:21:03 - mmengine - INFO - Iter(train) [306600/320000] base_lr: 2.8556e-06 lr: 2.3370e-06 eta: 8:28:55 time: 2.3048 data_time: 0.1494 memory: 26538 grad_norm: 1.5754 loss: 1.2242 caption_loss_cls: 2.1633 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.7149 detection_loss_cls: 0.0437 detection_loss_reg: 0.4027 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5348 2023/11/06 13:37:11 - mmengine - INFO - Iter(train) [306700/320000] base_lr: 2.8429e-06 lr: 2.3320e-06 eta: 8:38:02 time: 2.4875 data_time: 0.1497 memory: 26538 grad_norm: 1.5670 loss: 1.2215 caption_loss_cls: 2.1602 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.7164 detection_loss_cls: 0.0435 detection_loss_reg: 0.4016 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5343 2023/11/06 13:41:27 - mmengine - INFO - Iter(train) [306800/320000] base_lr: 2.8303e-06 lr: 2.3271e-06 eta: 8:34:31 time: 2.4953 data_time: 0.1517 memory: 26538 grad_norm: 1.5599 loss: 1.2231 caption_loss_cls: 2.1589 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.7160 detection_loss_cls: 0.0434 detection_loss_reg: 0.4010 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5343 2023/11/06 13:44:45 - mmengine - INFO - Iter(train) [306900/320000] base_lr: 2.8177e-06 lr: 2.3221e-06 eta: 8:30:01 time: 2.4892 data_time: 0.1517 memory: 25858 grad_norm: 1.5610 loss: 1.2294 caption_loss_cls: 2.1590 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.7175 detection_loss_cls: 0.0434 detection_loss_reg: 0.4011 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5350 2023/11/06 13:48:23 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 13:48:23 - mmengine - INFO - Iter(train) [307000/320000] base_lr: 2.8053e-06 lr: 2.3172e-06 eta: 8:25:51 time: 2.4955 data_time: 0.1517 memory: 26538 grad_norm: 1.5593 loss: 1.2279 caption_loss_cls: 2.1567 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.7183 detection_loss_cls: 0.0435 detection_loss_reg: 0.4013 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5352 2023/11/06 13:48:23 - mmengine - INFO - Saving checkpoint at 307000 iterations 2023/11/06 13:52:41 - mmengine - INFO - Iter(train) [307100/320000] base_lr: 2.7930e-06 lr: 2.3124e-06 eta: 8:22:23 time: 2.4890 data_time: 0.1521 memory: 26538 grad_norm: 1.5538 loss: 1.2264 caption_loss_cls: 2.1545 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.7187 detection_loss_cls: 0.0435 detection_loss_reg: 0.4012 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5366 2023/11/06 13:56:10 - mmengine - INFO - Iter(train) [307200/320000] base_lr: 2.7808e-06 lr: 2.3076e-06 eta: 8:18:04 time: 2.4723 data_time: 0.1512 memory: 25858 grad_norm: 1.5679 loss: 1.2334 caption_loss_cls: 2.1569 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.7170 detection_loss_cls: 0.0435 detection_loss_reg: 0.4014 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5366 2023/11/06 13:59:47 - mmengine - INFO - Iter(train) [307300/320000] base_lr: 2.7686e-06 lr: 2.3028e-06 eta: 8:13:55 time: 2.4733 data_time: 0.1513 memory: 26538 grad_norm: 1.5782 loss: 1.2417 caption_loss_cls: 2.1583 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.7173 detection_loss_cls: 0.0435 detection_loss_reg: 0.4008 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5357 2023/11/06 14:03:39 - mmengine - INFO - Iter(train) [307400/320000] base_lr: 2.7566e-06 lr: 2.2981e-06 eta: 8:10:01 time: 2.4707 data_time: 0.1512 memory: 26538 grad_norm: 1.5915 loss: 1.2439 caption_loss_cls: 2.1583 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.7160 detection_loss_cls: 0.0435 detection_loss_reg: 0.4009 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5358 2023/11/06 14:07:26 - mmengine - INFO - Iter(train) [307500/320000] base_lr: 2.7446e-06 lr: 2.2933e-06 eta: 8:06:01 time: 2.4743 data_time: 0.1512 memory: 25858 grad_norm: 1.5941 loss: 1.2430 caption_loss_cls: 2.1597 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.7153 detection_loss_cls: 0.0436 detection_loss_reg: 0.4013 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5335 2023/11/06 14:07:26 - mmengine - INFO - Saving checkpoint at 307500 iterations 2023/11/06 14:12:26 - mmengine - INFO - Iter(train) [307600/320000] base_lr: 2.7328e-06 lr: 2.2887e-06 eta: 8:03:08 time: 2.4857 data_time: 0.1517 memory: 25858 grad_norm: 1.5864 loss: 1.2388 caption_loss_cls: 2.1578 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.7147 detection_loss_cls: 0.0436 detection_loss_reg: 0.4013 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5328 2023/11/06 14:16:21 - mmengine - INFO - Iter(train) [307700/320000] base_lr: 2.7210e-06 lr: 2.2840e-06 eta: 7:59:16 time: 2.4921 data_time: 0.1518 memory: 25858 grad_norm: 1.5805 loss: 1.2356 caption_loss_cls: 2.1601 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.7148 detection_loss_cls: 0.0436 detection_loss_reg: 0.4016 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5310 2023/11/06 14:19:52 - mmengine - INFO - Iter(train) [307800/320000] base_lr: 2.7094e-06 lr: 2.2795e-06 eta: 7:55:02 time: 2.4895 data_time: 0.1518 memory: 25858 grad_norm: 1.5895 loss: 1.2373 caption_loss_cls: 2.1591 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.7153 detection_loss_cls: 0.0437 detection_loss_reg: 0.4019 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5312 2023/11/06 14:24:09 - mmengine - INFO - Iter(train) [307900/320000] base_lr: 2.6978e-06 lr: 2.2749e-06 eta: 7:51:29 time: 2.4849 data_time: 0.1491 memory: 26538 grad_norm: 1.5922 loss: 1.2352 caption_loss_cls: 2.1601 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.7151 detection_loss_cls: 0.0436 detection_loss_reg: 0.4022 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5277 2023/11/06 14:30:17 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 14:30:17 - mmengine - INFO - Iter(train) [308000/320000] base_lr: 2.6863e-06 lr: 2.2704e-06 eta: 7:49:30 time: 2.5253 data_time: 0.1537 memory: 26538 grad_norm: 1.5963 loss: 1.2358 caption_loss_cls: 2.1589 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.7153 detection_loss_cls: 0.0436 detection_loss_reg: 0.4022 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5285 2023/11/06 14:30:17 - mmengine - INFO - Saving checkpoint at 308000 iterations 2023/11/06 14:34:29 - mmengine - INFO - Iter(train) [308100/320000] base_lr: 2.6750e-06 lr: 2.2659e-06 eta: 7:45:50 time: 2.5189 data_time: 0.1533 memory: 26538 grad_norm: 1.6024 loss: 1.2410 caption_loss_cls: 2.1575 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.7167 detection_loss_cls: 0.0436 detection_loss_reg: 0.4023 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5257 2023/11/06 14:38:05 - mmengine - INFO - Iter(train) [308200/320000] base_lr: 2.6637e-06 lr: 2.2614e-06 eta: 7:41:39 time: 2.5192 data_time: 0.1534 memory: 25858 grad_norm: 1.6035 loss: 1.2426 caption_loss_cls: 2.1572 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.7168 detection_loss_cls: 0.0435 detection_loss_reg: 0.4013 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5252 2023/11/06 14:41:31 - mmengine - INFO - Iter(train) [308300/320000] base_lr: 2.6525e-06 lr: 2.2570e-06 eta: 7:37:21 time: 2.5239 data_time: 0.1533 memory: 25858 grad_norm: 1.5966 loss: 1.2496 caption_loss_cls: 2.1589 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.7167 detection_loss_cls: 0.0436 detection_loss_reg: 0.4016 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5234 2023/11/06 14:45:27 - mmengine - INFO - Iter(train) [308400/320000] base_lr: 2.6414e-06 lr: 2.2527e-06 eta: 7:33:27 time: 2.5241 data_time: 0.1527 memory: 25858 grad_norm: 1.5871 loss: 1.2496 caption_loss_cls: 2.1603 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.7167 detection_loss_cls: 0.0436 detection_loss_reg: 0.4023 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5231 2023/11/06 14:48:53 - mmengine - INFO - Iter(train) [308500/320000] base_lr: 2.6304e-06 lr: 2.2483e-06 eta: 7:29:10 time: 2.5293 data_time: 0.1527 memory: 25858 grad_norm: 1.5808 loss: 1.2478 caption_loss_cls: 2.1595 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.7177 detection_loss_cls: 0.0436 detection_loss_reg: 0.4028 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5210 2023/11/06 14:48:53 - mmengine - INFO - Saving checkpoint at 308500 iterations 2023/11/06 14:53:21 - mmengine - INFO - Iter(train) [308600/320000] base_lr: 2.6195e-06 lr: 2.2440e-06 eta: 7:25:42 time: 2.5201 data_time: 0.1528 memory: 26538 grad_norm: 1.5994 loss: 1.2477 caption_loss_cls: 2.1613 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.7164 detection_loss_cls: 0.0437 detection_loss_reg: 0.4025 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5205 2023/11/06 14:57:00 - mmengine - INFO - Iter(train) [308700/320000] base_lr: 2.6087e-06 lr: 2.2398e-06 eta: 7:21:36 time: 2.5240 data_time: 0.1529 memory: 26538 grad_norm: 1.6004 loss: 1.2446 caption_loss_cls: 2.1614 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.7160 detection_loss_cls: 0.0438 detection_loss_reg: 0.4028 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5214 2023/11/06 15:00:49 - mmengine - INFO - Iter(train) [308800/320000] base_lr: 2.5980e-06 lr: 2.2356e-06 eta: 7:17:37 time: 2.5208 data_time: 0.1530 memory: 25858 grad_norm: 1.5984 loss: 1.2476 caption_loss_cls: 2.1626 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2699 instance_segmentation_loss_poly: 0.7158 detection_loss_cls: 0.0439 detection_loss_reg: 0.4031 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5214 2023/11/06 15:09:08 - mmengine - INFO - Iter(train) [308900/320000] base_lr: 2.5874e-06 lr: 2.2314e-06 eta: 7:16:59 time: 2.5812 data_time: 0.1533 memory: 26538 grad_norm: 1.5999 loss: 1.2476 caption_loss_cls: 2.1624 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.7157 detection_loss_cls: 0.0439 detection_loss_reg: 0.4032 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5206 2023/11/06 15:12:55 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 15:12:55 - mmengine - INFO - Iter(train) [309000/320000] base_lr: 2.5768e-06 lr: 2.2272e-06 eta: 7:12:57 time: 2.5929 data_time: 0.1534 memory: 26538 grad_norm: 1.5887 loss: 1.2477 caption_loss_cls: 2.1631 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2702 instance_segmentation_loss_poly: 0.7166 detection_loss_cls: 0.0437 detection_loss_reg: 0.4021 semantic_segmentation_loss_cls: 0.0107 grounding_loss_reg: 2.5209 2023/11/06 15:12:55 - mmengine - INFO - Saving checkpoint at 309000 iterations 2023/11/06 15:17:31 - mmengine - INFO - Iter(train) [309100/320000] base_lr: 2.5664e-06 lr: 2.2231e-06 eta: 7:09:29 time: 2.5985 data_time: 0.1530 memory: 26538 grad_norm: 1.5793 loss: 1.2474 caption_loss_cls: 2.1636 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.7175 detection_loss_cls: 0.0436 detection_loss_reg: 0.4016 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5211 2023/11/06 15:21:24 - mmengine - INFO - Iter(train) [309200/320000] base_lr: 2.5561e-06 lr: 2.2191e-06 eta: 7:05:30 time: 2.6056 data_time: 0.1531 memory: 25858 grad_norm: 1.5750 loss: 1.2442 caption_loss_cls: 2.1640 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.7164 detection_loss_cls: 0.0436 detection_loss_reg: 0.4015 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5209 2023/11/06 15:25:41 - mmengine - INFO - Iter(train) [309300/320000] base_lr: 2.5458e-06 lr: 2.2150e-06 eta: 7:01:48 time: 2.6197 data_time: 0.1533 memory: 26538 grad_norm: 1.5616 loss: 1.2377 caption_loss_cls: 2.1617 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.7173 detection_loss_cls: 0.0436 detection_loss_reg: 0.4016 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5200 2023/11/06 15:29:30 - mmengine - INFO - Iter(train) [309400/320000] base_lr: 2.5357e-06 lr: 2.2110e-06 eta: 6:57:46 time: 2.6194 data_time: 0.1532 memory: 26538 grad_norm: 1.5895 loss: 1.2426 caption_loss_cls: 2.1641 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.7167 detection_loss_cls: 0.0435 detection_loss_reg: 0.4016 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5187 2023/11/06 15:33:05 - mmengine - INFO - Iter(train) [309500/320000] base_lr: 2.5256e-06 lr: 2.2071e-06 eta: 6:53:35 time: 2.6234 data_time: 0.1533 memory: 26538 grad_norm: 1.5810 loss: 1.2362 caption_loss_cls: 2.1617 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.7171 detection_loss_cls: 0.0435 detection_loss_reg: 0.4011 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5196 2023/11/06 15:33:05 - mmengine - INFO - Saving checkpoint at 309500 iterations 2023/11/06 15:37:26 - mmengine - INFO - Iter(train) [309600/320000] base_lr: 2.5157e-06 lr: 2.2031e-06 eta: 6:49:55 time: 2.6178 data_time: 0.1532 memory: 26538 grad_norm: 1.5960 loss: 1.2416 caption_loss_cls: 2.1639 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2708 instance_segmentation_loss_poly: 0.7165 detection_loss_cls: 0.0435 detection_loss_reg: 0.4013 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5186 2023/11/06 15:41:00 - mmengine - INFO - Iter(train) [309700/320000] base_lr: 2.5058e-06 lr: 2.1993e-06 eta: 6:45:44 time: 2.6070 data_time: 0.1530 memory: 26538 grad_norm: 1.6058 loss: 1.2438 caption_loss_cls: 2.1654 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.7160 detection_loss_cls: 0.0435 detection_loss_reg: 0.4012 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5180 2023/11/06 15:44:38 - mmengine - INFO - Iter(train) [309800/320000] base_lr: 2.4961e-06 lr: 2.1954e-06 eta: 6:41:35 time: 2.6052 data_time: 0.1530 memory: 26538 grad_norm: 1.6018 loss: 1.2429 caption_loss_cls: 2.1651 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2704 instance_segmentation_loss_poly: 0.7162 detection_loss_cls: 0.0434 detection_loss_reg: 0.4011 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5199 2023/11/06 15:48:16 - mmengine - INFO - Iter(train) [309900/320000] base_lr: 2.4864e-06 lr: 2.1916e-06 eta: 6:37:28 time: 2.6059 data_time: 0.1528 memory: 26538 grad_norm: 1.6063 loss: 1.2426 caption_loss_cls: 2.1639 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2703 instance_segmentation_loss_poly: 0.7158 detection_loss_cls: 0.0434 detection_loss_reg: 0.4008 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5177 2023/11/06 15:52:10 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 15:52:10 - mmengine - INFO - Iter(train) [310000/320000] base_lr: 2.4768e-06 lr: 2.1878e-06 eta: 6:33:30 time: 2.6150 data_time: 0.1529 memory: 25858 grad_norm: 1.6013 loss: 1.2438 caption_loss_cls: 2.1624 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.7164 detection_loss_cls: 0.0433 detection_loss_reg: 0.4008 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5172 2023/11/06 15:52:10 - mmengine - INFO - Saving checkpoint at 310000 iterations 2023/11/06 15:56:49 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.3886 data_time: 0.0282 memory: 14019 2023/11/06 15:57:39 - mmengine - INFO - Evaluating bbox... 2023/11/06 15:58:44 - mmengine - INFO - bbox_mAP_copypaste: 0.501 0.675 0.545 0.338 0.546 0.651 2023/11/06 15:58:44 - mmengine - INFO - Evaluating segm... 2023/11/06 15:59:57 - mmengine - INFO - segm_mAP_copypaste: 0.330 0.579 0.328 0.184 0.374 0.505 2023/11/06 16:00:57 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3618 data_time: 0.0272 memory: 14019 2023/11/06 16:01:17 - mmengine - INFO - Evaluating bbox... 2023/11/06 16:02:20 - mmengine - INFO - bbox_mAP_copypaste: 0.501 0.674 0.544 0.335 0.544 0.651 2023/11/06 16:05:02 - mmengine - INFO - per class results: 2023/11/06 16:05:02 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.83 | 88.12 | | building | 81.57 | 91.16 | | sky | 93.18 | 97.65 | | floor | 81.37 | 88.97 | | tree | 73.17 | 86.99 | | ceiling | 82.25 | 92.78 | | road | 83.29 | 88.18 | | bed | 88.22 | 95.08 | | windowpane | 62.54 | 78.8 | | grass | 70.38 | 85.47 | | cabinet | 59.33 | 71.43 | | sidewalk | 65.64 | 80.94 | | person | 80.15 | 90.65 | | earth | 39.87 | 51.23 | | door | 52.42 | 68.87 | | table | 58.37 | 76.19 | | mountain | 60.03 | 73.71 | | plant | 50.61 | 64.41 | | curtain | 71.09 | 86.36 | | chair | 55.71 | 70.42 | | car | 81.31 | 91.93 | | water | 56.18 | 70.57 | | painting | 71.28 | 87.08 | | sofa | 67.83 | 81.67 | | shelf | 44.21 | 63.26 | | house | 43.79 | 63.47 | | sea | 66.16 | 87.32 | | mirror | 62.45 | 70.26 | | rug | 68.58 | 79.03 | | field | 34.13 | 53.1 | | armchair | 44.67 | 65.02 | | seat | 63.8 | 81.45 | | fence | 44.66 | 60.93 | | desk | 47.62 | 63.82 | | rock | 46.15 | 64.36 | | wardrobe | 52.37 | 65.84 | | lamp | 60.17 | 75.67 | | bathtub | 77.15 | 83.86 | | railing | 36.9 | 49.06 | | cushion | 52.35 | 65.42 | | base | 27.57 | 41.77 | | box | 29.22 | 38.41 | | column | 43.27 | 55.25 | | signboard | 37.31 | 50.04 | | chest of drawers | 38.57 | 68.67 | | counter | 32.22 | 42.66 | | sand | 55.26 | 75.18 | | sink | 71.17 | 82.18 | | skyscraper | 40.4 | 46.9 | | fireplace | 69.35 | 84.3 | | refrigerator | 72.27 | 85.16 | | grandstand | 38.72 | 75.79 | | path | 26.38 | 35.48 | | stairs | 35.74 | 43.75 | | runway | 71.91 | 91.6 | | case | 48.23 | 59.92 | | pool table | 89.34 | 96.05 | | pillow | 53.78 | 68.3 | | screen door | 67.42 | 82.91 | | stairway | 35.18 | 48.16 | | river | 18.65 | 29.34 | | bridge | 65.52 | 86.37 | | bookcase | 33.56 | 56.56 | | blind | 33.36 | 37.17 | | coffee table | 61.34 | 81.98 | | toilet | 81.55 | 90.15 | | flower | 33.56 | 50.13 | | book | 45.59 | 66.74 | | hill | 9.67 | 14.66 | | bench | 47.33 | 59.71 | | countertop | 54.04 | 68.49 | | stove | 71.53 | 84.68 | | palm | 48.25 | 62.0 | | kitchen island | 33.7 | 61.97 | | computer | 72.17 | 86.55 | | swivel chair | 38.69 | 58.78 | | boat | 70.28 | 82.39 | | bar | 32.74 | 38.79 | | arcade machine | 61.57 | 66.04 | | hovel | 44.64 | 53.4 | | bus | 91.8 | 95.38 | | towel | 58.16 | 75.44 | | light | 42.33 | 49.42 | | truck | 38.99 | 61.16 | | tower | 31.32 | 51.62 | | chandelier | 65.22 | 77.64 | | awning | 32.92 | 36.8 | | streetlight | 30.83 | 39.09 | | booth | 43.55 | 50.24 | | television receiver | 68.96 | 84.99 | | airplane | 57.14 | 66.08 | | dirt track | 2.32 | 11.55 | | apparel | 27.86 | 38.34 | | pole | 25.16 | 36.96 | | land | 2.76 | 3.62 | | bannister | 5.54 | 8.12 | | escalator | 44.63 | 60.42 | | ottoman | 46.26 | 69.73 | | bottle | 27.05 | 32.68 | | buffet | 47.14 | 53.75 | | poster | 28.06 | 35.41 | | stage | 8.7 | 15.93 | | van | 19.24 | 22.85 | | ship | 75.36 | 82.04 | | fountain | 15.51 | 16.71 | | conveyer belt | 70.22 | 92.59 | | canopy | 25.62 | 29.55 | | washer | 56.29 | 57.86 | | plaything | 26.48 | 35.36 | | swimming pool | 56.01 | 84.49 | | stool | 45.64 | 60.95 | | barrel | 23.38 | 61.36 | | basket | 27.29 | 39.01 | | waterfall | 53.99 | 60.15 | | tent | 84.65 | 96.62 | | bag | 13.07 | 14.61 | | minibike | 70.47 | 86.48 | | cradle | 73.01 | 90.85 | | oven | 41.58 | 51.39 | | ball | 46.2 | 68.91 | | food | 55.08 | 65.67 | | step | 10.56 | 11.89 | | tank | 44.34 | 58.39 | | trade name | 22.47 | 25.05 | | microwave | 84.04 | 90.84 | | pot | 40.14 | 45.83 | | animal | 63.81 | 68.5 | | bicycle | 58.83 | 79.45 | | lake | 17.93 | 23.14 | | dishwasher | 53.03 | 72.28 | | screen | 56.65 | 81.46 | | blanket | 4.31 | 4.75 | | sculpture | 50.03 | 61.86 | | hood | 51.02 | 58.49 | | sconce | 32.5 | 39.76 | | vase | 37.95 | 53.16 | | traffic light | 34.61 | 47.04 | | tray | 7.36 | 12.42 | | ashcan | 38.67 | 54.57 | | fan | 55.7 | 67.95 | | pier | 47.21 | 52.62 | | crt screen | 4.89 | 12.05 | | plate | 53.38 | 67.62 | | monitor | 11.02 | 12.49 | | bulletin board | 40.39 | 48.9 | | shower | 4.16 | 5.35 | | radiator | 54.68 | 60.04 | | glass | 17.22 | 18.69 | | clock | 24.42 | 29.99 | | flag | 67.42 | 74.18 | +---------------------+-------+-------+ 2023/11/06 16:05:09 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.5010 coco/bbox_mAP_50: 0.6740 coco/bbox_mAP_75: 0.5440 coco/bbox_mAP_s: 0.3350 coco/bbox_mAP_m: 0.5440 coco/bbox_mAP_l: 0.6510 coco/segm_mAP: 0.3300 coco/segm_mAP_50: 0.5790 coco/segm_mAP_75: 0.3280 coco/segm_mAP_s: 0.1840 coco/segm_mAP_m: 0.3740 coco/segm_mAP_l: 0.5050 Bleu_1: 0.7630 Bleu_2: 0.5971 Bleu_3: 0.4571 Bleu_4: 0.3476 METEOR: 0.2789 ROUGE_L: 0.5667 CIDEr: 1.1532 SPICE: 0.2071 aAcc: 82.8600 mIoU: 48.2900 mAcc: 60.4600 visual-grounding/miou: 0.7976 visual-grounding/acc: 0.8633 data_time: 0.0288 time: 1.0487 2023/11/06 16:08:46 - mmengine - INFO - Iter(train) [310100/320000] base_lr: 2.4673e-06 lr: 2.1841e-06 eta: 6:29:23 time: 2.5846 data_time: 0.1352 memory: 25858 grad_norm: 1.5975 loss: 1.2456 caption_loss_cls: 2.1640 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2707 instance_segmentation_loss_poly: 0.7165 detection_loss_cls: 0.0433 detection_loss_reg: 0.4001 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5182 2023/11/06 16:13:28 - mmengine - INFO - Iter(train) [310200/320000] base_lr: 2.4579e-06 lr: 2.1804e-06 eta: 6:25:55 time: 2.6060 data_time: 0.1353 memory: 25858 grad_norm: 1.5900 loss: 1.2453 caption_loss_cls: 2.1645 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.7175 detection_loss_cls: 0.0433 detection_loss_reg: 0.4006 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5182 2023/11/06 16:17:09 - mmengine - INFO - Iter(train) [310300/320000] base_lr: 2.4487e-06 lr: 2.1767e-06 eta: 6:21:50 time: 2.6124 data_time: 0.1355 memory: 26538 grad_norm: 1.5995 loss: 1.2473 caption_loss_cls: 2.1640 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2710 instance_segmentation_loss_poly: 0.7165 detection_loss_cls: 0.0433 detection_loss_reg: 0.4003 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5175 2023/11/06 16:20:49 - mmengine - INFO - Iter(train) [310400/320000] base_lr: 2.4395e-06 lr: 2.1731e-06 eta: 6:17:44 time: 2.6151 data_time: 0.1361 memory: 25858 grad_norm: 1.5921 loss: 1.2409 caption_loss_cls: 2.1634 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2709 instance_segmentation_loss_poly: 0.7164 detection_loss_cls: 0.0432 detection_loss_reg: 0.3999 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5171 2023/11/06 16:24:18 - mmengine - INFO - Iter(train) [310500/320000] base_lr: 2.4304e-06 lr: 2.1695e-06 eta: 6:13:32 time: 2.6172 data_time: 0.1361 memory: 26538 grad_norm: 1.5956 loss: 1.2375 caption_loss_cls: 2.1623 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.7156 detection_loss_cls: 0.0432 detection_loss_reg: 0.4002 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5172 2023/11/06 16:24:18 - mmengine - INFO - Saving checkpoint at 310500 iterations 2023/11/06 16:28:44 - mmengine - INFO - Iter(train) [310600/320000] base_lr: 2.4214e-06 lr: 2.1660e-06 eta: 6:09:53 time: 2.6203 data_time: 0.1365 memory: 25858 grad_norm: 1.5999 loss: 1.2408 caption_loss_cls: 2.1627 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2706 instance_segmentation_loss_poly: 0.7159 detection_loss_cls: 0.0433 detection_loss_reg: 0.4014 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5166 2023/11/06 16:33:29 - mmengine - INFO - Iter(train) [310700/320000] base_lr: 2.4124e-06 lr: 2.1625e-06 eta: 6:06:24 time: 2.4496 data_time: 0.1372 memory: 26538 grad_norm: 1.6165 loss: 1.2432 caption_loss_cls: 2.1627 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2711 instance_segmentation_loss_poly: 0.7167 detection_loss_cls: 0.0434 detection_loss_reg: 0.4022 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5173 2023/11/06 16:37:01 - mmengine - INFO - Iter(train) [310800/320000] base_lr: 2.4036e-06 lr: 2.1590e-06 eta: 6:02:15 time: 2.4386 data_time: 0.1352 memory: 26538 grad_norm: 1.6096 loss: 1.2416 caption_loss_cls: 2.1626 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2697 instance_segmentation_loss_poly: 0.7150 detection_loss_cls: 0.0433 detection_loss_reg: 0.4018 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5166 2023/11/06 16:40:29 - mmengine - INFO - Iter(train) [310900/320000] base_lr: 2.3949e-06 lr: 2.1556e-06 eta: 5:58:03 time: 2.4410 data_time: 0.1351 memory: 26538 grad_norm: 1.6039 loss: 1.2314 caption_loss_cls: 2.1614 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.7158 detection_loss_cls: 0.0433 detection_loss_reg: 0.4019 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5188 2023/11/06 16:43:32 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 16:43:32 - mmengine - INFO - Iter(train) [311000/320000] base_lr: 2.3863e-06 lr: 2.1522e-06 eta: 5:53:39 time: 2.4324 data_time: 0.1351 memory: 26538 grad_norm: 1.6114 loss: 1.2361 caption_loss_cls: 2.1613 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2700 instance_segmentation_loss_poly: 0.7161 detection_loss_cls: 0.0433 detection_loss_reg: 0.4018 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5173 2023/11/06 16:43:32 - mmengine - INFO - Saving checkpoint at 311000 iterations 2023/11/06 16:47:57 - mmengine - INFO - Iter(train) [311100/320000] base_lr: 2.3778e-06 lr: 2.1488e-06 eta: 5:49:58 time: 2.4340 data_time: 0.1350 memory: 26538 grad_norm: 1.6086 loss: 1.2348 caption_loss_cls: 2.1623 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2701 instance_segmentation_loss_poly: 0.7162 detection_loss_cls: 0.0432 detection_loss_reg: 0.4017 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5158 2023/11/06 16:51:07 - mmengine - INFO - Iter(train) [311200/320000] base_lr: 2.3693e-06 lr: 2.1455e-06 eta: 5:45:39 time: 2.4294 data_time: 0.1349 memory: 26538 grad_norm: 1.6043 loss: 1.2330 caption_loss_cls: 2.1644 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2698 instance_segmentation_loss_poly: 0.7158 detection_loss_cls: 0.0433 detection_loss_reg: 0.4022 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5154 2023/11/06 16:54:33 - mmengine - INFO - Iter(train) [311300/320000] base_lr: 2.3610e-06 lr: 2.1422e-06 eta: 5:41:28 time: 2.4265 data_time: 0.1348 memory: 25858 grad_norm: 1.5975 loss: 1.2257 caption_loss_cls: 2.1616 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2679 instance_segmentation_loss_poly: 0.7134 detection_loss_cls: 0.0432 detection_loss_reg: 0.4022 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5138 2023/11/06 16:58:01 - mmengine - INFO - Iter(train) [311400/320000] base_lr: 2.3527e-06 lr: 2.1390e-06 eta: 5:37:19 time: 2.4206 data_time: 0.1347 memory: 26538 grad_norm: 1.5901 loss: 1.2257 caption_loss_cls: 2.1582 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2683 instance_segmentation_loss_poly: 0.7134 detection_loss_cls: 0.0432 detection_loss_reg: 0.4024 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5153 2023/11/06 17:01:48 - mmengine - INFO - Iter(train) [311500/320000] base_lr: 2.3446e-06 lr: 2.1357e-06 eta: 5:33:20 time: 2.4205 data_time: 0.1348 memory: 26538 grad_norm: 1.5844 loss: 1.2255 caption_loss_cls: 2.1593 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2686 instance_segmentation_loss_poly: 0.7139 detection_loss_cls: 0.0434 detection_loss_reg: 0.4033 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5140 2023/11/06 17:01:48 - mmengine - INFO - Saving checkpoint at 311500 iterations 2023/11/06 17:06:34 - mmengine - INFO - Iter(train) [311600/320000] base_lr: 2.3365e-06 lr: 2.1326e-06 eta: 5:29:49 time: 2.4171 data_time: 0.1351 memory: 25858 grad_norm: 1.5833 loss: 1.2250 caption_loss_cls: 2.1586 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2688 instance_segmentation_loss_poly: 0.7148 detection_loss_cls: 0.0435 detection_loss_reg: 0.4037 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5143 2023/11/06 17:10:00 - mmengine - INFO - Iter(train) [311700/320000] base_lr: 2.3286e-06 lr: 2.1294e-06 eta: 5:25:39 time: 2.4099 data_time: 0.1348 memory: 26538 grad_norm: 1.5860 loss: 1.2235 caption_loss_cls: 2.1610 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2687 instance_segmentation_loss_poly: 0.7144 detection_loss_cls: 0.0435 detection_loss_reg: 0.4042 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5123 2023/11/06 17:13:31 - mmengine - INFO - Iter(train) [311800/320000] base_lr: 2.3207e-06 lr: 2.1263e-06 eta: 5:21:32 time: 2.4097 data_time: 0.1349 memory: 25858 grad_norm: 1.5735 loss: 1.2184 caption_loss_cls: 2.1605 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2690 instance_segmentation_loss_poly: 0.7148 detection_loss_cls: 0.0435 detection_loss_reg: 0.4042 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5106 2023/11/06 17:17:17 - mmengine - INFO - Iter(train) [311900/320000] base_lr: 2.3129e-06 lr: 2.1233e-06 eta: 5:17:33 time: 2.4019 data_time: 0.1349 memory: 26538 grad_norm: 1.5756 loss: 1.2201 caption_loss_cls: 2.1583 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2687 instance_segmentation_loss_poly: 0.7142 detection_loss_cls: 0.0436 detection_loss_reg: 0.4047 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5112 2023/11/06 17:20:43 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 17:20:43 - mmengine - INFO - Iter(train) [312000/320000] base_lr: 2.3053e-06 lr: 2.1203e-06 eta: 5:13:25 time: 2.3615 data_time: 0.1303 memory: 26538 grad_norm: 1.5809 loss: 1.2253 caption_loss_cls: 2.1584 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2688 instance_segmentation_loss_poly: 0.7139 detection_loss_cls: 0.0436 detection_loss_reg: 0.4046 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5110 2023/11/06 17:20:43 - mmengine - INFO - Saving checkpoint at 312000 iterations 2023/11/06 17:25:26 - mmengine - INFO - Iter(train) [312100/320000] base_lr: 2.2977e-06 lr: 2.1173e-06 eta: 5:09:50 time: 2.3692 data_time: 0.1310 memory: 25858 grad_norm: 1.5629 loss: 1.2182 caption_loss_cls: 2.1566 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2690 instance_segmentation_loss_poly: 0.7135 detection_loss_cls: 0.0436 detection_loss_reg: 0.4054 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5102 2023/11/06 17:28:53 - mmengine - INFO - Iter(train) [312200/320000] base_lr: 2.2902e-06 lr: 2.1143e-06 eta: 5:05:43 time: 2.3671 data_time: 0.1309 memory: 25858 grad_norm: 1.5689 loss: 1.2143 caption_loss_cls: 2.1550 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2690 instance_segmentation_loss_poly: 0.7139 detection_loss_cls: 0.0437 detection_loss_reg: 0.4060 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5071 2023/11/06 17:32:18 - mmengine - INFO - Iter(train) [312300/320000] base_lr: 2.2828e-06 lr: 2.1114e-06 eta: 5:01:35 time: 2.3668 data_time: 0.1310 memory: 26538 grad_norm: 1.5643 loss: 1.2091 caption_loss_cls: 2.1556 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2689 instance_segmentation_loss_poly: 0.7138 detection_loss_cls: 0.0438 detection_loss_reg: 0.4067 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5061 2023/11/06 17:35:34 - mmengine - INFO - Iter(train) [312400/320000] base_lr: 2.2755e-06 lr: 2.1085e-06 eta: 4:57:24 time: 2.3567 data_time: 0.1307 memory: 25858 grad_norm: 1.5773 loss: 1.2066 caption_loss_cls: 2.1547 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2685 instance_segmentation_loss_poly: 0.7128 detection_loss_cls: 0.0437 detection_loss_reg: 0.4067 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5035 2023/11/06 17:39:02 - mmengine - INFO - Iter(train) [312500/320000] base_lr: 2.2683e-06 lr: 2.1057e-06 eta: 4:53:18 time: 2.3573 data_time: 0.1307 memory: 25858 grad_norm: 1.5705 loss: 1.2069 caption_loss_cls: 2.1563 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2689 instance_segmentation_loss_poly: 0.7140 detection_loss_cls: 0.0438 detection_loss_reg: 0.4072 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5045 2023/11/06 17:39:02 - mmengine - INFO - Saving checkpoint at 312500 iterations 2023/11/06 17:44:04 - mmengine - INFO - Iter(train) [312600/320000] base_lr: 2.2612e-06 lr: 2.1029e-06 eta: 4:49:50 time: 2.3656 data_time: 0.1304 memory: 25858 grad_norm: 1.5474 loss: 1.2049 caption_loss_cls: 2.1552 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2683 instance_segmentation_loss_poly: 0.7132 detection_loss_cls: 0.0438 detection_loss_reg: 0.4077 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5044 2023/11/06 17:48:05 - mmengine - INFO - Iter(train) [312700/320000] base_lr: 2.2542e-06 lr: 2.1001e-06 eta: 4:45:58 time: 2.3712 data_time: 0.1305 memory: 26538 grad_norm: 1.5463 loss: 1.2046 caption_loss_cls: 2.1552 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.7129 detection_loss_cls: 0.0438 detection_loss_reg: 0.4076 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5021 2023/11/06 17:51:08 - mmengine - INFO - Iter(train) [312800/320000] base_lr: 2.2473e-06 lr: 2.0974e-06 eta: 4:41:42 time: 2.3596 data_time: 0.1304 memory: 25858 grad_norm: 1.5564 loss: 1.2015 caption_loss_cls: 2.1568 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.7127 detection_loss_cls: 0.0438 detection_loss_reg: 0.4076 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5013 2023/11/06 17:54:23 - mmengine - INFO - Iter(train) [312900/320000] base_lr: 2.2405e-06 lr: 2.0947e-06 eta: 4:37:33 time: 2.2837 data_time: 0.1299 memory: 25858 grad_norm: 1.5700 loss: 1.2036 caption_loss_cls: 2.1568 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2679 instance_segmentation_loss_poly: 0.7126 detection_loss_cls: 0.0437 detection_loss_reg: 0.4073 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5003 2023/11/06 17:58:11 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 17:58:11 - mmengine - INFO - Iter(train) [313000/320000] base_lr: 2.2338e-06 lr: 2.0921e-06 eta: 4:33:36 time: 2.2839 data_time: 0.1299 memory: 25858 grad_norm: 1.5737 loss: 1.2076 caption_loss_cls: 2.1576 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2681 instance_segmentation_loss_poly: 0.7128 detection_loss_cls: 0.0439 detection_loss_reg: 0.4086 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4999 2023/11/06 17:58:11 - mmengine - INFO - Saving checkpoint at 313000 iterations 2023/11/06 18:03:16 - mmengine - INFO - Iter(train) [313100/320000] base_lr: 2.2271e-06 lr: 2.0895e-06 eta: 4:30:07 time: 2.2914 data_time: 0.1309 memory: 26538 grad_norm: 1.5725 loss: 1.2046 caption_loss_cls: 2.1589 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2679 instance_segmentation_loss_poly: 0.7124 detection_loss_cls: 0.0438 detection_loss_reg: 0.4069 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4994 2023/11/06 18:06:46 - mmengine - INFO - Iter(train) [313200/320000] base_lr: 2.2206e-06 lr: 2.0869e-06 eta: 4:26:03 time: 2.2854 data_time: 0.1308 memory: 25858 grad_norm: 1.5784 loss: 1.2114 caption_loss_cls: 2.1622 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2675 instance_segmentation_loss_poly: 0.7117 detection_loss_cls: 0.0438 detection_loss_reg: 0.4071 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.5004 2023/11/06 18:10:10 - mmengine - INFO - Iter(train) [313300/320000] base_lr: 2.2142e-06 lr: 2.0844e-06 eta: 4:21:58 time: 2.2724 data_time: 0.1306 memory: 26538 grad_norm: 1.5949 loss: 1.2164 caption_loss_cls: 2.1613 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2671 instance_segmentation_loss_poly: 0.7107 detection_loss_cls: 0.0438 detection_loss_reg: 0.4074 semantic_segmentation_loss_cls: 0.0106 grounding_loss_reg: 2.4990 2023/11/06 18:14:02 - mmengine - INFO - Iter(train) [313400/320000] base_lr: 2.2078e-06 lr: 2.0819e-06 eta: 4:18:02 time: 2.2731 data_time: 0.1306 memory: 26538 grad_norm: 1.5742 loss: 1.2135 caption_loss_cls: 2.1611 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2668 instance_segmentation_loss_poly: 0.7100 detection_loss_cls: 0.0438 detection_loss_reg: 0.4078 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4986 2023/11/06 18:17:47 - mmengine - INFO - Iter(train) [313500/320000] base_lr: 2.2016e-06 lr: 2.0794e-06 eta: 4:14:04 time: 2.2756 data_time: 0.1305 memory: 25858 grad_norm: 1.5768 loss: 1.2149 caption_loss_cls: 2.1611 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2668 instance_segmentation_loss_poly: 0.7097 detection_loss_cls: 0.0438 detection_loss_reg: 0.4079 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4992 2023/11/06 18:17:47 - mmengine - INFO - Saving checkpoint at 313500 iterations 2023/11/06 18:22:14 - mmengine - INFO - Iter(train) [313600/320000] base_lr: 2.1954e-06 lr: 2.0770e-06 eta: 4:10:20 time: 2.2769 data_time: 0.1313 memory: 25858 grad_norm: 1.5674 loss: 1.2094 caption_loss_cls: 2.1623 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2669 instance_segmentation_loss_poly: 0.7098 detection_loss_cls: 0.0437 detection_loss_reg: 0.4071 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4997 2023/11/06 18:25:55 - mmengine - INFO - Iter(train) [313700/320000] base_lr: 2.1894e-06 lr: 2.0746e-06 eta: 4:06:21 time: 2.2789 data_time: 0.1314 memory: 26538 grad_norm: 1.5620 loss: 1.2117 caption_loss_cls: 2.1618 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2671 instance_segmentation_loss_poly: 0.7098 detection_loss_cls: 0.0436 detection_loss_reg: 0.4068 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4999 2023/11/06 18:29:55 - mmengine - INFO - Iter(train) [313800/320000] base_lr: 2.1834e-06 lr: 2.0722e-06 eta: 4:02:28 time: 2.2842 data_time: 0.1313 memory: 26538 grad_norm: 1.5694 loss: 1.2078 caption_loss_cls: 2.1583 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2672 instance_segmentation_loss_poly: 0.7104 detection_loss_cls: 0.0436 detection_loss_reg: 0.4070 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4972 2023/11/06 18:33:37 - mmengine - INFO - Iter(train) [313900/320000] base_lr: 2.1775e-06 lr: 2.0699e-06 eta: 3:58:30 time: 2.2851 data_time: 0.1314 memory: 26538 grad_norm: 1.5577 loss: 1.2051 caption_loss_cls: 2.1581 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2673 instance_segmentation_loss_poly: 0.7102 detection_loss_cls: 0.0436 detection_loss_reg: 0.4073 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4973 2023/11/06 18:37:06 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 18:37:06 - mmengine - INFO - Iter(train) [314000/320000] base_lr: 2.1718e-06 lr: 2.0677e-06 eta: 3:54:28 time: 2.2792 data_time: 0.1313 memory: 25858 grad_norm: 1.5703 loss: 1.2105 caption_loss_cls: 2.1574 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2670 instance_segmentation_loss_poly: 0.7094 detection_loss_cls: 0.0436 detection_loss_reg: 0.4077 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4990 2023/11/06 18:37:06 - mmengine - INFO - Saving checkpoint at 314000 iterations 2023/11/06 18:41:52 - mmengine - INFO - Iter(train) [314100/320000] base_lr: 2.1661e-06 lr: 2.0654e-06 eta: 3:50:48 time: 2.2959 data_time: 0.1471 memory: 25858 grad_norm: 1.5670 loss: 1.2066 caption_loss_cls: 2.1549 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2665 instance_segmentation_loss_poly: 0.7082 detection_loss_cls: 0.0436 detection_loss_reg: 0.4071 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5002 2023/11/06 18:45:58 - mmengine - INFO - Iter(train) [314200/320000] base_lr: 2.1605e-06 lr: 2.0632e-06 eta: 3:46:57 time: 2.2869 data_time: 0.1471 memory: 26538 grad_norm: 1.5698 loss: 1.2091 caption_loss_cls: 2.1556 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2672 instance_segmentation_loss_poly: 0.7094 detection_loss_cls: 0.0435 detection_loss_reg: 0.4065 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5000 2023/11/06 18:49:09 - mmengine - INFO - Iter(train) [314300/320000] base_lr: 2.1550e-06 lr: 2.0611e-06 eta: 3:42:49 time: 2.2792 data_time: 0.1471 memory: 25858 grad_norm: 1.5594 loss: 1.2051 caption_loss_cls: 2.1533 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2672 instance_segmentation_loss_poly: 0.7089 detection_loss_cls: 0.0434 detection_loss_reg: 0.4063 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5015 2023/11/06 18:52:57 - mmengine - INFO - Iter(train) [314400/320000] base_lr: 2.1496e-06 lr: 2.0589e-06 eta: 3:38:53 time: 2.2815 data_time: 0.1465 memory: 26538 grad_norm: 1.5607 loss: 1.2105 caption_loss_cls: 2.1556 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2673 instance_segmentation_loss_poly: 0.7083 detection_loss_cls: 0.0435 detection_loss_reg: 0.4072 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5009 2023/11/06 18:56:32 - mmengine - INFO - Iter(train) [314500/320000] base_lr: 2.1443e-06 lr: 2.0569e-06 eta: 3:34:53 time: 2.2829 data_time: 0.1466 memory: 26538 grad_norm: 1.5561 loss: 1.2090 caption_loss_cls: 2.1534 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2681 instance_segmentation_loss_poly: 0.7098 detection_loss_cls: 0.0436 detection_loss_reg: 0.4076 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5021 2023/11/06 18:56:32 - mmengine - INFO - Saving checkpoint at 314500 iterations 2023/11/06 19:00:57 - mmengine - INFO - Iter(train) [314600/320000] base_lr: 2.1391e-06 lr: 2.0548e-06 eta: 3:31:07 time: 2.2825 data_time: 0.1457 memory: 25858 grad_norm: 1.5569 loss: 1.2089 caption_loss_cls: 2.1536 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2679 instance_segmentation_loss_poly: 0.7097 detection_loss_cls: 0.0437 detection_loss_reg: 0.4081 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5016 2023/11/06 19:04:05 - mmengine - INFO - Iter(train) [314700/320000] base_lr: 2.1340e-06 lr: 2.0528e-06 eta: 3:27:00 time: 2.2584 data_time: 0.1445 memory: 25858 grad_norm: 1.5542 loss: 1.2069 caption_loss_cls: 2.1552 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2676 instance_segmentation_loss_poly: 0.7090 detection_loss_cls: 0.0437 detection_loss_reg: 0.4081 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5022 2023/11/06 19:07:37 - mmengine - INFO - Iter(train) [314800/320000] base_lr: 2.1290e-06 lr: 2.0508e-06 eta: 3:23:00 time: 2.2583 data_time: 0.1446 memory: 26538 grad_norm: 1.5586 loss: 1.2088 caption_loss_cls: 2.1539 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2677 instance_segmentation_loss_poly: 0.7093 detection_loss_cls: 0.0437 detection_loss_reg: 0.4074 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5006 2023/11/06 19:10:51 - mmengine - INFO - Iter(train) [314900/320000] base_lr: 2.1241e-06 lr: 2.0489e-06 eta: 3:18:56 time: 2.2550 data_time: 0.1445 memory: 25858 grad_norm: 1.5694 loss: 1.2143 caption_loss_cls: 2.1520 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2681 instance_segmentation_loss_poly: 0.7103 detection_loss_cls: 0.0438 detection_loss_reg: 0.4083 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5015 2023/11/06 19:14:27 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 19:14:27 - mmengine - INFO - Iter(train) [315000/320000] base_lr: 2.1193e-06 lr: 2.0470e-06 eta: 3:14:58 time: 2.2632 data_time: 0.1445 memory: 26538 grad_norm: 1.5695 loss: 1.2110 caption_loss_cls: 2.1526 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2680 instance_segmentation_loss_poly: 0.7104 detection_loss_cls: 0.0439 detection_loss_reg: 0.4082 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5022 2023/11/06 19:14:27 - mmengine - INFO - Saving checkpoint at 315000 iterations 2023/11/06 19:18:58 - mmengine - INFO - Iter(train) [315100/320000] base_lr: 2.1146e-06 lr: 2.0451e-06 eta: 3:11:12 time: 2.2644 data_time: 0.1441 memory: 25858 grad_norm: 1.5756 loss: 1.2117 caption_loss_cls: 2.1533 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2680 instance_segmentation_loss_poly: 0.7096 detection_loss_cls: 0.0439 detection_loss_reg: 0.4077 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5021 2023/11/06 19:22:31 - mmengine - INFO - Iter(train) [315200/320000] base_lr: 2.1099e-06 lr: 2.0433e-06 eta: 3:07:14 time: 2.2704 data_time: 0.1443 memory: 26538 grad_norm: 1.5813 loss: 1.2107 caption_loss_cls: 2.1527 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2680 instance_segmentation_loss_poly: 0.7101 detection_loss_cls: 0.0439 detection_loss_reg: 0.4075 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5025 2023/11/06 19:26:18 - mmengine - INFO - Iter(train) [315300/320000] base_lr: 2.1054e-06 lr: 2.0415e-06 eta: 3:03:18 time: 2.2756 data_time: 0.1444 memory: 26538 grad_norm: 1.5753 loss: 1.2105 caption_loss_cls: 2.1546 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2681 instance_segmentation_loss_poly: 0.7103 detection_loss_cls: 0.0439 detection_loss_reg: 0.4068 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5035 2023/11/06 19:30:01 - mmengine - INFO - Iter(train) [315400/320000] base_lr: 2.1010e-06 lr: 2.0398e-06 eta: 2:59:22 time: 2.2794 data_time: 0.1445 memory: 26538 grad_norm: 1.5727 loss: 1.2081 caption_loss_cls: 2.1535 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2680 instance_segmentation_loss_poly: 0.7104 detection_loss_cls: 0.0438 detection_loss_reg: 0.4062 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5027 2023/11/06 19:33:31 - mmengine - INFO - Iter(train) [315500/320000] base_lr: 2.0966e-06 lr: 2.0381e-06 eta: 2:55:23 time: 2.2752 data_time: 0.1444 memory: 25858 grad_norm: 1.5706 loss: 1.2100 caption_loss_cls: 2.1572 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.7103 detection_loss_cls: 0.0437 detection_loss_reg: 0.4057 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.5011 2023/11/06 19:33:32 - mmengine - INFO - Saving checkpoint at 315500 iterations 2023/11/06 19:38:33 - mmengine - INFO - Iter(train) [315600/320000] base_lr: 2.0924e-06 lr: 2.0364e-06 eta: 2:51:43 time: 2.2792 data_time: 0.1444 memory: 26538 grad_norm: 1.5707 loss: 1.2096 caption_loss_cls: 2.1551 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2685 instance_segmentation_loss_poly: 0.7111 detection_loss_cls: 0.0437 detection_loss_reg: 0.4055 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4995 2023/11/06 19:42:14 - mmengine - INFO - Iter(train) [315700/320000] base_lr: 2.0882e-06 lr: 2.0348e-06 eta: 2:47:46 time: 2.2829 data_time: 0.1446 memory: 26538 grad_norm: 1.5761 loss: 1.2151 caption_loss_cls: 2.1558 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2694 instance_segmentation_loss_poly: 0.7132 detection_loss_cls: 0.0438 detection_loss_reg: 0.4056 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4980 2023/11/06 19:45:49 - mmengine - INFO - Iter(train) [315800/320000] base_lr: 2.0842e-06 lr: 2.0332e-06 eta: 2:43:48 time: 2.2839 data_time: 0.1445 memory: 25858 grad_norm: 1.5782 loss: 1.2123 caption_loss_cls: 2.1551 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.7131 detection_loss_cls: 0.0437 detection_loss_reg: 0.4047 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4958 2023/11/06 19:49:33 - mmengine - INFO - Iter(train) [315900/320000] base_lr: 2.0802e-06 lr: 2.0316e-06 eta: 2:39:52 time: 2.2834 data_time: 0.1444 memory: 25858 grad_norm: 1.5747 loss: 1.2106 caption_loss_cls: 2.1534 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2695 instance_segmentation_loss_poly: 0.7133 detection_loss_cls: 0.0437 detection_loss_reg: 0.4049 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4953 2023/11/06 19:53:29 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 19:53:29 - mmengine - INFO - Iter(train) [316000/320000] base_lr: 2.0764e-06 lr: 2.0301e-06 eta: 2:35:59 time: 2.2907 data_time: 0.1444 memory: 26538 grad_norm: 1.5655 loss: 1.2015 caption_loss_cls: 2.1529 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.7132 detection_loss_cls: 0.0437 detection_loss_reg: 0.4054 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4943 2023/11/06 19:53:29 - mmengine - INFO - Saving checkpoint at 316000 iterations 2023/11/06 19:58:20 - mmengine - INFO - Iter(train) [316100/320000] base_lr: 2.0726e-06 lr: 2.0286e-06 eta: 2:32:15 time: 2.2929 data_time: 0.1444 memory: 26538 grad_norm: 1.5763 loss: 1.2092 caption_loss_cls: 2.1538 instance_segmentation_loss_cls: 0.0292 instance_segmentation_loss_reg: 0.2693 instance_segmentation_loss_poly: 0.7137 detection_loss_cls: 0.0437 detection_loss_reg: 0.4056 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4959 2023/11/06 20:01:39 - mmengine - INFO - Iter(train) [316200/320000] base_lr: 2.0689e-06 lr: 2.0272e-06 eta: 2:28:14 time: 2.2910 data_time: 0.1444 memory: 26538 grad_norm: 1.5725 loss: 1.2154 caption_loss_cls: 2.1543 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2687 instance_segmentation_loss_poly: 0.7127 detection_loss_cls: 0.0438 detection_loss_reg: 0.4061 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4968 2023/11/06 20:05:10 - mmengine - INFO - Iter(train) [316300/320000] base_lr: 2.0653e-06 lr: 2.0257e-06 eta: 2:24:16 time: 2.2923 data_time: 0.1444 memory: 25858 grad_norm: 1.5709 loss: 1.2168 caption_loss_cls: 2.1583 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2685 instance_segmentation_loss_poly: 0.7125 detection_loss_cls: 0.0438 detection_loss_reg: 0.4063 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4971 2023/11/06 20:09:16 - mmengine - INFO - Iter(train) [316400/320000] base_lr: 2.0619e-06 lr: 2.0244e-06 eta: 2:20:24 time: 2.3049 data_time: 0.1446 memory: 25858 grad_norm: 1.5561 loss: 1.2162 caption_loss_cls: 2.1580 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2683 instance_segmentation_loss_poly: 0.7123 detection_loss_cls: 0.0437 detection_loss_reg: 0.4058 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4997 2023/11/06 20:12:54 - mmengine - INFO - Iter(train) [316500/320000] base_lr: 2.0585e-06 lr: 2.0230e-06 eta: 2:16:28 time: 2.3072 data_time: 0.1445 memory: 25858 grad_norm: 1.5517 loss: 1.2128 caption_loss_cls: 2.1594 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2680 instance_segmentation_loss_poly: 0.7117 detection_loss_cls: 0.0437 detection_loss_reg: 0.4066 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4997 2023/11/06 20:12:54 - mmengine - INFO - Saving checkpoint at 316500 iterations 2023/11/06 20:17:32 - mmengine - INFO - Iter(train) [316600/320000] base_lr: 2.0552e-06 lr: 2.0217e-06 eta: 2:12:40 time: 2.3013 data_time: 0.1443 memory: 25858 grad_norm: 1.5659 loss: 1.2146 caption_loss_cls: 2.1581 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2677 instance_segmentation_loss_poly: 0.7107 detection_loss_cls: 0.0437 detection_loss_reg: 0.4066 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4990 2023/11/06 20:21:14 - mmengine - INFO - Iter(train) [316700/320000] base_lr: 2.0520e-06 lr: 2.0205e-06 eta: 2:08:45 time: 2.2967 data_time: 0.1442 memory: 26538 grad_norm: 1.5656 loss: 1.2208 caption_loss_cls: 2.1587 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.7118 detection_loss_cls: 0.0438 detection_loss_reg: 0.4067 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4978 2023/11/06 20:25:17 - mmengine - INFO - Iter(train) [316800/320000] base_lr: 2.0489e-06 lr: 2.0193e-06 eta: 2:04:52 time: 2.3117 data_time: 0.1444 memory: 26538 grad_norm: 1.5604 loss: 1.2207 caption_loss_cls: 2.1581 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2685 instance_segmentation_loss_poly: 0.7123 detection_loss_cls: 0.0437 detection_loss_reg: 0.4065 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4968 2023/11/06 20:28:49 - mmengine - INFO - Iter(train) [316900/320000] base_lr: 2.0459e-06 lr: 2.0181e-06 eta: 2:00:55 time: 2.3158 data_time: 0.1445 memory: 25858 grad_norm: 1.5526 loss: 1.2184 caption_loss_cls: 2.1554 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2687 instance_segmentation_loss_poly: 0.7124 detection_loss_cls: 0.0437 detection_loss_reg: 0.4067 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4972 2023/11/06 20:32:17 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 20:32:17 - mmengine - INFO - Iter(train) [317000/320000] base_lr: 2.0430e-06 lr: 2.0169e-06 eta: 1:56:57 time: 2.3108 data_time: 0.1445 memory: 26538 grad_norm: 1.5690 loss: 1.2139 caption_loss_cls: 2.1551 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2688 instance_segmentation_loss_poly: 0.7124 detection_loss_cls: 0.0437 detection_loss_reg: 0.4067 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4962 2023/11/06 20:32:17 - mmengine - INFO - Saving checkpoint at 317000 iterations 2023/11/06 20:36:38 - mmengine - INFO - Iter(train) [317100/320000] base_lr: 2.0401e-06 lr: 2.0158e-06 eta: 1:53:07 time: 2.2999 data_time: 0.1437 memory: 25858 grad_norm: 1.5718 loss: 1.2181 caption_loss_cls: 2.1525 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2687 instance_segmentation_loss_poly: 0.7126 detection_loss_cls: 0.0438 detection_loss_reg: 0.4071 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4972 2023/11/06 20:40:14 - mmengine - INFO - Iter(train) [317200/320000] base_lr: 2.0374e-06 lr: 2.0147e-06 eta: 1:49:10 time: 2.3014 data_time: 0.1437 memory: 25858 grad_norm: 1.5569 loss: 1.2021 caption_loss_cls: 2.1497 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2686 instance_segmentation_loss_poly: 0.7122 detection_loss_cls: 0.0437 detection_loss_reg: 0.4069 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4965 2023/11/06 20:43:32 - mmengine - INFO - Iter(train) [317300/320000] base_lr: 2.0348e-06 lr: 2.0137e-06 eta: 1:45:12 time: 2.2998 data_time: 0.1437 memory: 26538 grad_norm: 1.5605 loss: 1.2029 caption_loss_cls: 2.1500 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2680 instance_segmentation_loss_poly: 0.7107 detection_loss_cls: 0.0437 detection_loss_reg: 0.4075 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4968 2023/11/06 20:46:37 - mmengine - INFO - Iter(train) [317400/320000] base_lr: 2.0323e-06 lr: 2.0127e-06 eta: 1:41:13 time: 2.2882 data_time: 0.1436 memory: 25858 grad_norm: 1.5744 loss: 1.2098 caption_loss_cls: 2.1500 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2682 instance_segmentation_loss_poly: 0.7109 detection_loss_cls: 0.0438 detection_loss_reg: 0.4079 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4950 2023/11/06 20:49:54 - mmengine - INFO - Iter(train) [317500/320000] base_lr: 2.0298e-06 lr: 2.0118e-06 eta: 1:37:16 time: 2.2811 data_time: 0.1435 memory: 25858 grad_norm: 1.5758 loss: 1.2106 caption_loss_cls: 2.1476 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2680 instance_segmentation_loss_poly: 0.7112 detection_loss_cls: 0.0439 detection_loss_reg: 0.4084 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4946 2023/11/06 20:49:54 - mmengine - INFO - Saving checkpoint at 317500 iterations 2023/11/06 20:54:51 - mmengine - INFO - Iter(train) [317600/320000] base_lr: 2.0275e-06 lr: 2.0108e-06 eta: 1:33:29 time: 2.2887 data_time: 0.1443 memory: 26538 grad_norm: 1.5752 loss: 1.2088 caption_loss_cls: 2.1491 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2677 instance_segmentation_loss_poly: 0.7107 detection_loss_cls: 0.0437 detection_loss_reg: 0.4069 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4953 2023/11/06 20:58:21 - mmengine - INFO - Iter(train) [317700/320000] base_lr: 2.0253e-06 lr: 2.0100e-06 eta: 1:29:33 time: 2.2858 data_time: 0.1443 memory: 26538 grad_norm: 1.5782 loss: 1.2059 caption_loss_cls: 2.1486 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2673 instance_segmentation_loss_poly: 0.7097 detection_loss_cls: 0.0436 detection_loss_reg: 0.4059 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4957 2023/11/06 21:01:04 - mmengine - INFO - Iter(train) [317800/320000] base_lr: 2.0231e-06 lr: 2.0091e-06 eta: 1:25:32 time: 2.2667 data_time: 0.1441 memory: 25858 grad_norm: 1.5868 loss: 1.2102 caption_loss_cls: 2.1461 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.7103 detection_loss_cls: 0.0436 detection_loss_reg: 0.4061 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4947 2023/11/06 21:04:20 - mmengine - INFO - Iter(train) [317900/320000] base_lr: 2.0211e-06 lr: 2.0083e-06 eta: 1:21:36 time: 2.2602 data_time: 0.1440 memory: 26538 grad_norm: 1.6010 loss: 1.2139 caption_loss_cls: 2.1449 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2676 instance_segmentation_loss_poly: 0.7108 detection_loss_cls: 0.0435 detection_loss_reg: 0.4059 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4959 2023/11/06 21:07:54 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 21:07:54 - mmengine - INFO - Iter(train) [318000/320000] base_lr: 2.0191e-06 lr: 2.0075e-06 eta: 1:17:41 time: 2.2613 data_time: 0.1442 memory: 25858 grad_norm: 1.5908 loss: 1.2106 caption_loss_cls: 2.1476 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2680 instance_segmentation_loss_poly: 0.7119 detection_loss_cls: 0.0435 detection_loss_reg: 0.4058 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4941 2023/11/06 21:07:54 - mmengine - INFO - Saving checkpoint at 318000 iterations 2023/11/06 21:12:07 - mmengine - INFO - Iter(train) [318100/320000] base_lr: 2.0172e-06 lr: 2.0068e-06 eta: 1:13:50 time: 2.2530 data_time: 0.1436 memory: 26538 grad_norm: 1.6055 loss: 1.2139 caption_loss_cls: 2.1453 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2683 instance_segmentation_loss_poly: 0.7120 detection_loss_cls: 0.0435 detection_loss_reg: 0.4052 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4927 2023/11/06 21:15:33 - mmengine - INFO - Iter(train) [318200/320000] base_lr: 2.0155e-06 lr: 2.0061e-06 eta: 1:09:54 time: 2.2431 data_time: 0.1434 memory: 26538 grad_norm: 1.6161 loss: 1.2155 caption_loss_cls: 2.1455 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2683 instance_segmentation_loss_poly: 0.7117 detection_loss_cls: 0.0435 detection_loss_reg: 0.4053 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4914 2023/11/06 21:19:04 - mmengine - INFO - Iter(train) [318300/320000] base_lr: 2.0138e-06 lr: 2.0054e-06 eta: 1:06:00 time: 2.2481 data_time: 0.1435 memory: 26538 grad_norm: 1.6114 loss: 1.2206 caption_loss_cls: 2.1471 instance_segmentation_loss_cls: 0.0291 instance_segmentation_loss_reg: 0.2691 instance_segmentation_loss_poly: 0.7134 detection_loss_cls: 0.0435 detection_loss_reg: 0.4054 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4922 2023/11/06 21:23:28 - mmengine - INFO - Iter(train) [318400/320000] base_lr: 2.0122e-06 lr: 2.0048e-06 eta: 1:02:09 time: 2.2570 data_time: 0.1445 memory: 26538 grad_norm: 1.6131 loss: 1.2165 caption_loss_cls: 2.1453 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2684 instance_segmentation_loss_poly: 0.7115 detection_loss_cls: 0.0436 detection_loss_reg: 0.4063 semantic_segmentation_loss_cls: 0.0104 grounding_loss_reg: 2.4921 2023/11/06 21:28:09 - mmengine - INFO - Iter(train) [318500/320000] base_lr: 2.0107e-06 lr: 2.0042e-06 eta: 0:58:19 time: 2.2735 data_time: 0.1456 memory: 26538 grad_norm: 1.6098 loss: 1.2156 caption_loss_cls: 2.1461 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2676 instance_segmentation_loss_poly: 0.7104 detection_loss_cls: 0.0436 detection_loss_reg: 0.4056 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4929 2023/11/06 21:28:09 - mmengine - INFO - Saving checkpoint at 318500 iterations 2023/11/06 21:32:55 - mmengine - INFO - Iter(train) [318600/320000] base_lr: 2.0094e-06 lr: 2.0037e-06 eta: 0:54:28 time: 2.2789 data_time: 0.1460 memory: 25858 grad_norm: 1.6013 loss: 1.2118 caption_loss_cls: 2.1482 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2670 instance_segmentation_loss_poly: 0.7094 detection_loss_cls: 0.0435 detection_loss_reg: 0.4055 semantic_segmentation_loss_cls: 0.0104 grounding_loss_reg: 2.4938 2023/11/06 21:36:35 - mmengine - INFO - Iter(train) [318700/320000] base_lr: 2.0081e-06 lr: 2.0032e-06 eta: 0:50:34 time: 2.2867 data_time: 0.1460 memory: 26538 grad_norm: 1.5886 loss: 1.2092 caption_loss_cls: 2.1500 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2668 instance_segmentation_loss_poly: 0.7094 detection_loss_cls: 0.0435 detection_loss_reg: 0.4057 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4933 2023/11/06 21:40:12 - mmengine - INFO - Iter(train) [318800/320000] base_lr: 2.0069e-06 lr: 2.0027e-06 eta: 0:46:40 time: 2.2881 data_time: 0.1460 memory: 26538 grad_norm: 1.5839 loss: 1.2082 caption_loss_cls: 2.1523 instance_segmentation_loss_cls: 0.0287 instance_segmentation_loss_reg: 0.2665 instance_segmentation_loss_poly: 0.7092 detection_loss_cls: 0.0435 detection_loss_reg: 0.4056 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4934 2023/11/06 21:43:46 - mmengine - INFO - Iter(train) [318900/320000] base_lr: 2.0058e-06 lr: 2.0023e-06 eta: 0:42:46 time: 2.2929 data_time: 0.1461 memory: 25858 grad_norm: 1.5768 loss: 1.2056 caption_loss_cls: 2.1520 instance_segmentation_loss_cls: 0.0287 instance_segmentation_loss_reg: 0.2665 instance_segmentation_loss_poly: 0.7086 detection_loss_cls: 0.0436 detection_loss_reg: 0.4062 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4925 2023/11/06 21:47:28 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 21:47:28 - mmengine - INFO - Iter(train) [319000/320000] base_lr: 2.0048e-06 lr: 2.0019e-06 eta: 0:38:52 time: 2.2945 data_time: 0.1461 memory: 26538 grad_norm: 1.5688 loss: 1.2034 caption_loss_cls: 2.1525 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2664 instance_segmentation_loss_poly: 0.7086 detection_loss_cls: 0.0436 detection_loss_reg: 0.4068 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4933 2023/11/06 21:47:28 - mmengine - INFO - Saving checkpoint at 319000 iterations 2023/11/06 21:51:35 - mmengine - INFO - Iter(train) [319100/320000] base_lr: 2.0039e-06 lr: 2.0015e-06 eta: 0:34:59 time: 2.2887 data_time: 0.1466 memory: 26538 grad_norm: 1.5730 loss: 1.2057 caption_loss_cls: 2.1507 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2672 instance_segmentation_loss_poly: 0.7099 detection_loss_cls: 0.0436 detection_loss_reg: 0.4068 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4937 2023/11/06 21:54:38 - mmengine - INFO - Iter(train) [319200/320000] base_lr: 2.0031e-06 lr: 2.0012e-06 eta: 0:31:04 time: 2.2810 data_time: 0.1465 memory: 25858 grad_norm: 1.5649 loss: 1.2068 caption_loss_cls: 2.1539 instance_segmentation_loss_cls: 0.0290 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.7102 detection_loss_cls: 0.0436 detection_loss_reg: 0.4075 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4940 2023/11/06 21:57:57 - mmengine - INFO - Iter(train) [319300/320000] base_lr: 2.0023e-06 lr: 2.0009e-06 eta: 0:27:10 time: 2.2742 data_time: 0.1464 memory: 25858 grad_norm: 1.5678 loss: 1.2079 caption_loss_cls: 2.1527 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2671 instance_segmentation_loss_poly: 0.7098 detection_loss_cls: 0.0438 detection_loss_reg: 0.4082 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4937 2023/11/06 22:01:34 - mmengine - INFO - Iter(train) [319400/320000] base_lr: 2.0017e-06 lr: 2.0007e-06 eta: 0:23:17 time: 2.2726 data_time: 0.1463 memory: 25858 grad_norm: 1.5732 loss: 1.2082 caption_loss_cls: 2.1539 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2671 instance_segmentation_loss_poly: 0.7097 detection_loss_cls: 0.0437 detection_loss_reg: 0.4074 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4916 2023/11/06 22:05:14 - mmengine - INFO - Iter(train) [319500/320000] base_lr: 2.0012e-06 lr: 2.0005e-06 eta: 0:19:24 time: 2.2751 data_time: 0.1463 memory: 25858 grad_norm: 1.5702 loss: 1.2036 caption_loss_cls: 2.1555 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2665 instance_segmentation_loss_poly: 0.7089 detection_loss_cls: 0.0436 detection_loss_reg: 0.4072 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4923 2023/11/06 22:05:14 - mmengine - INFO - Saving checkpoint at 319500 iterations 2023/11/06 22:09:49 - mmengine - INFO - Iter(train) [319600/320000] base_lr: 2.0008e-06 lr: 2.0003e-06 eta: 0:15:32 time: 2.2682 data_time: 0.1458 memory: 26538 grad_norm: 1.5772 loss: 1.2105 caption_loss_cls: 2.1540 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2665 instance_segmentation_loss_poly: 0.7087 detection_loss_cls: 0.0436 detection_loss_reg: 0.4070 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4915 2023/11/06 22:13:19 - mmengine - INFO - Iter(train) [319700/320000] base_lr: 2.0004e-06 lr: 2.0002e-06 eta: 0:11:38 time: 2.2656 data_time: 0.1459 memory: 26538 grad_norm: 1.5750 loss: 1.2092 caption_loss_cls: 2.1524 instance_segmentation_loss_cls: 0.0289 instance_segmentation_loss_reg: 0.2668 instance_segmentation_loss_poly: 0.7092 detection_loss_cls: 0.0435 detection_loss_reg: 0.4069 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4908 2023/11/06 22:17:04 - mmengine - INFO - Iter(train) [319800/320000] base_lr: 2.0002e-06 lr: 2.0001e-06 eta: 0:07:45 time: 2.2682 data_time: 0.1460 memory: 25858 grad_norm: 1.5778 loss: 1.2160 caption_loss_cls: 2.1536 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.7111 detection_loss_cls: 0.0436 detection_loss_reg: 0.4073 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4896 2023/11/06 22:20:45 - mmengine - INFO - Iter(train) [319900/320000] base_lr: 2.0000e-06 lr: 2.0000e-06 eta: 0:03:52 time: 2.2674 data_time: 0.1462 memory: 25858 grad_norm: 1.5770 loss: 1.2160 caption_loss_cls: 2.1545 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2672 instance_segmentation_loss_poly: 0.7109 detection_loss_cls: 0.0435 detection_loss_reg: 0.4072 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4893 2023/11/06 22:24:31 - mmengine - INFO - Exp name: univision_joint_all_large_20231106_044240 2023/11/06 22:24:31 - mmengine - INFO - Iter(train) [320000/320000] base_lr: 2.0000e-06 lr: 2.0000e-06 eta: 0:00:00 time: 2.2649 data_time: 0.1462 memory: 26538 grad_norm: 1.5762 loss: 1.2195 caption_loss_cls: 2.1552 instance_segmentation_loss_cls: 0.0288 instance_segmentation_loss_reg: 0.2674 instance_segmentation_loss_poly: 0.7113 detection_loss_cls: 0.0435 detection_loss_reg: 0.4071 semantic_segmentation_loss_cls: 0.0105 grounding_loss_reg: 2.4905 2023/11/06 22:24:31 - mmengine - INFO - Saving checkpoint at 320000 iterations 2023/11/06 22:29:12 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:10 time: 1.3896 data_time: 0.0280 memory: 14019 2023/11/06 22:30:00 - mmengine - INFO - Evaluating bbox... 2023/11/06 22:31:03 - mmengine - INFO - bbox_mAP_copypaste: 0.502 0.676 0.546 0.338 0.547 0.653 2023/11/06 22:31:03 - mmengine - INFO - Evaluating segm... 2023/11/06 22:32:15 - mmengine - INFO - segm_mAP_copypaste: 0.331 0.584 0.327 0.184 0.374 0.507 2023/11/06 22:33:17 - mmengine - INFO - Iter(val) [100/105] eta: 0:00:14 time: 1.3636 data_time: 0.0268 memory: 14019 2023/11/06 22:33:37 - mmengine - INFO - Evaluating bbox... 2023/11/06 22:34:40 - mmengine - INFO - bbox_mAP_copypaste: 0.501 0.675 0.546 0.335 0.545 0.654 2023/11/06 22:37:12 - mmengine - INFO - per class results: 2023/11/06 22:37:12 - mmengine - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.85 | 88.19 | | building | 81.71 | 91.56 | | sky | 93.16 | 97.63 | | floor | 81.04 | 89.15 | | tree | 73.32 | 86.66 | | ceiling | 82.57 | 92.55 | | road | 83.36 | 88.32 | | bed | 87.89 | 94.96 | | windowpane | 62.57 | 79.16 | | grass | 71.31 | 85.03 | | cabinet | 60.34 | 73.29 | | sidewalk | 65.62 | 79.87 | | person | 79.98 | 91.02 | | earth | 41.33 | 55.41 | | door | 51.84 | 68.7 | | table | 58.63 | 75.25 | | mountain | 61.14 | 75.56 | | plant | 51.24 | 65.35 | | curtain | 70.57 | 86.96 | | chair | 55.6 | 69.51 | | car | 80.25 | 91.25 | | water | 55.64 | 71.87 | | painting | 70.04 | 86.38 | | sofa | 67.48 | 82.05 | | shelf | 44.1 | 63.39 | | house | 43.91 | 60.53 | | sea | 65.16 | 86.79 | | mirror | 62.45 | 71.86 | | rug | 65.86 | 75.27 | | field | 33.33 | 51.12 | | armchair | 44.06 | 63.58 | | seat | 62.87 | 81.24 | | fence | 44.96 | 60.22 | | desk | 47.64 | 64.91 | | rock | 43.89 | 58.21 | | wardrobe | 51.27 | 62.47 | | lamp | 60.54 | 74.76 | | bathtub | 73.69 | 82.54 | | railing | 36.33 | 48.17 | | cushion | 52.82 | 66.07 | | base | 27.17 | 41.01 | | box | 28.48 | 36.94 | | column | 43.19 | 55.43 | | signboard | 36.98 | 48.59 | | chest of drawers | 39.17 | 62.53 | | counter | 34.27 | 45.56 | | sand | 52.84 | 75.87 | | sink | 71.46 | 82.02 | | skyscraper | 41.02 | 47.99 | | fireplace | 69.96 | 84.38 | | refrigerator | 73.08 | 83.96 | | grandstand | 38.34 | 75.57 | | path | 25.97 | 34.93 | | stairs | 35.13 | 45.04 | | runway | 70.58 | 89.85 | | case | 47.89 | 57.25 | | pool table | 90.29 | 96.01 | | pillow | 52.9 | 67.54 | | screen door | 67.98 | 80.74 | | stairway | 32.38 | 43.85 | | river | 20.6 | 29.26 | | bridge | 68.44 | 86.28 | | bookcase | 32.82 | 51.4 | | blind | 30.3 | 32.98 | | coffee table | 60.8 | 80.19 | | toilet | 81.45 | 90.6 | | flower | 33.57 | 49.98 | | book | 46.03 | 66.94 | | hill | 10.32 | 13.68 | | bench | 45.92 | 57.55 | | countertop | 53.53 | 70.03 | | stove | 73.02 | 84.35 | | palm | 48.5 | 65.97 | | kitchen island | 33.62 | 62.78 | | computer | 72.18 | 86.58 | | swivel chair | 38.09 | 57.5 | | boat | 65.59 | 84.18 | | bar | 38.66 | 46.24 | | arcade machine | 59.71 | 64.46 | | hovel | 42.86 | 49.42 | | bus | 91.65 | 95.15 | | towel | 58.89 | 75.57 | | light | 42.35 | 49.32 | | truck | 40.43 | 64.55 | | tower | 30.49 | 49.72 | | chandelier | 65.09 | 78.05 | | awning | 33.44 | 37.13 | | streetlight | 30.64 | 38.24 | | booth | 44.92 | 50.19 | | television receiver | 69.86 | 83.12 | | airplane | 55.78 | 66.45 | | dirt track | 3.13 | 15.65 | | apparel | 26.8 | 37.44 | | pole | 25.53 | 36.5 | | land | 1.59 | 2.02 | | bannister | 5.42 | 7.66 | | escalator | 40.58 | 50.1 | | ottoman | 46.09 | 66.48 | | bottle | 26.1 | 31.84 | | buffet | 45.16 | 51.77 | | poster | 27.24 | 37.6 | | stage | 8.88 | 16.22 | | van | 14.35 | 16.51 | | ship | 74.18 | 80.49 | | fountain | 17.62 | 18.99 | | conveyer belt | 72.11 | 91.76 | | canopy | 25.12 | 29.08 | | washer | 58.86 | 60.64 | | plaything | 30.43 | 43.27 | | swimming pool | 54.7 | 85.0 | | stool | 46.47 | 59.89 | | barrel | 23.11 | 61.1 | | basket | 27.14 | 41.14 | | waterfall | 53.32 | 59.41 | | tent | 83.4 | 96.88 | | bag | 12.49 | 14.01 | | minibike | 70.3 | 85.28 | | cradle | 73.2 | 91.88 | | oven | 44.7 | 55.29 | | ball | 46.93 | 67.62 | | food | 55.2 | 66.27 | | step | 13.42 | 15.68 | | tank | 45.06 | 60.36 | | trade name | 24.81 | 28.1 | | microwave | 84.11 | 91.69 | | pot | 40.18 | 46.62 | | animal | 63.8 | 68.44 | | bicycle | 58.77 | 80.17 | | lake | 0.0 | 0.0 | | dishwasher | 58.16 | 72.6 | | screen | 55.87 | 80.31 | | blanket | 5.02 | 5.68 | | sculpture | 49.7 | 65.32 | | hood | 52.94 | 59.22 | | sconce | 33.67 | 41.22 | | vase | 37.79 | 52.21 | | traffic light | 34.36 | 49.08 | | tray | 8.39 | 15.24 | | ashcan | 39.24 | 53.11 | | fan | 56.1 | 68.91 | | pier | 46.25 | 52.35 | | crt screen | 4.54 | 12.18 | | plate | 52.78 | 66.68 | | monitor | 11.17 | 12.45 | | bulletin board | 40.57 | 49.14 | | shower | 3.62 | 5.42 | | radiator | 55.38 | 61.25 | | glass | 16.94 | 18.44 | | clock | 23.81 | 29.57 | | flag | 66.83 | 73.19 | +---------------------+-------+-------+ 2023/11/06 22:37:20 - mmengine - INFO - Iter(val) [105/105] coco/bbox_mAP: 0.5010 coco/bbox_mAP_50: 0.6750 coco/bbox_mAP_75: 0.5460 coco/bbox_mAP_s: 0.3350 coco/bbox_mAP_m: 0.5450 coco/bbox_mAP_l: 0.6540 coco/segm_mAP: 0.3310 coco/segm_mAP_50: 0.5840 coco/segm_mAP_75: 0.3270 coco/segm_mAP_s: 0.1840 coco/segm_mAP_m: 0.3740 coco/segm_mAP_l: 0.5070 Bleu_1: 0.7631 Bleu_2: 0.5969 Bleu_3: 0.4565 Bleu_4: 0.3465 METEOR: 0.2787 ROUGE_L: 0.5657 CIDEr: 1.1505 SPICE: 0.2085 aAcc: 82.8700 mIoU: 48.1200 mAcc: 60.1500 visual-grounding/miou: 0.7960 visual-grounding/acc: 0.8598 data_time: 0.0342 time: 1.0320