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geo_rec/mlp_refcocoplus_clip_t03_sam3i/checkpoint_best.pt

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geo_rec/mlp_refcocoplus_clip_t03_sam3i/checkpoint_best_3.pt

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geo_rec/mlp_refcocoplus_clip_t03_sam3i/checkpoint_last.pt

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geo_rec/mlp_refcocoplus_clip_t03_sam3i/train.log

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+[MLP] CLIP text encoder (clip/pretrained_checkpoints/CS/CS-ViT-L-14-336px.pt)
+[HORSERefCOCOgDataset] 120191 rows, 117986 with target in pool (0.982 coverage)
+[DATA] train-pool[0] n=120191 x1
+[HORSERefCOCOgDataset] 10758 rows, 10530 with target in pool (0.979 coverage)
+[DATA] val-pool[0] n=10758
+[MLP] 20 epochs, 120191 rows, loss=rec_selection only, best=top1_acc
+  [MLP e0] loss=0.7693 train_acc=0.754 val_acc=0.766 gIoU=0.727 best_metric=top1_acc:0.7663
+    saved best top1_acc=0.7663
+  [MLP e1] loss=0.7095 train_acc=0.779 val_acc=0.778 gIoU=0.737 best_metric=top1_acc:0.7784
+    saved best top1_acc=0.7784
+  [MLP e2] loss=0.6819 train_acc=0.791 val_acc=0.779 gIoU=0.736 best_metric=top1_acc:0.7792
+    saved best top1_acc=0.7792
+  [MLP e3] loss=0.6600 train_acc=0.800 val_acc=0.782 gIoU=0.738 best_metric=top1_acc:0.7823
+    saved best top1_acc=0.7823
+  [MLP e4] loss=0.6407 train_acc=0.808 val_acc=0.783 gIoU=0.740 best_metric=top1_acc:0.7827
+    saved best top1_acc=0.7827
+  [MLP e5] loss=0.6197 train_acc=0.817 val_acc=0.780 gIoU=0.734 best_metric=top1_acc:0.7797
+  [MLP e6] loss=0.6001 train_acc=0.826 val_acc=0.779 gIoU=0.735 best_metric=top1_acc:0.7787
+  [MLP e7] loss=0.5808 train_acc=0.836 val_acc=0.782 gIoU=0.737 best_metric=top1_acc:0.7824
+  [MLP e8] loss=0.5607 train_acc=0.843 val_acc=0.778 gIoU=0.736 best_metric=top1_acc:0.7781
+  [MLP e9] loss=0.5424 train_acc=0.853 val_acc=0.777 gIoU=0.732 best_metric=top1_acc:0.7767
+  [MLP e10] loss=0.5237 train_acc=0.860 val_acc=0.780 gIoU=0.735 best_metric=top1_acc:0.7797
+  [MLP e11] loss=0.5074 train_acc=0.868 val_acc=0.777 gIoU=0.734 best_metric=top1_acc:0.7771
+  [MLP e12] loss=0.4898 train_acc=0.875 val_acc=0.777 gIoU=0.731 best_metric=top1_acc:0.7774
+  [MLP e13] loss=0.4745 train_acc=0.883 val_acc=0.773 gIoU=0.729 best_metric=top1_acc:0.7729
+  [MLP e14] loss=0.4597 train_acc=0.889 val_acc=0.770 gIoU=0.726 best_metric=top1_acc:0.7700
+  [MLP e15] loss=0.4446 train_acc=0.895 val_acc=0.767 gIoU=0.723 best_metric=top1_acc:0.7674
+  [MLP e16] loss=0.4301 train_acc=0.901 val_acc=0.772 gIoU=0.728 best_metric=top1_acc:0.7724
+  [MLP e17] loss=0.4194 train_acc=0.905 val_acc=0.767 gIoU=0.724 best_metric=top1_acc:0.7671
+  [MLP e18] loss=0.4068 train_acc=0.911 val_acc=0.768 gIoU=0.724 best_metric=top1_acc:0.7680
+  [MLP e19] loss=0.3975 train_acc=0.915 val_acc=0.766 gIoU=0.723 best_metric=top1_acc:0.7662
+[DONE] best top1_acc=0.7827 → /storage/minh/philo/workspace/horse/outputs/geo_rec/mlp_refcocoplus_clip_t03_sam3i/checkpoint_best.pt

geo_rec/mlp_refcocoplus_clip_t03_sam3i/train_log.jsonl

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