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geo_rec/mlp_refcocoplus_clip_t03/checkpoint_best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1414a6bf4fd03d5ecc96f0736f7aca4604c316829a26d40139d81ba8091076f2
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size 3564397
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geo_rec/mlp_refcocoplus_clip_t03/checkpoint_last.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1979d17c5516d820f3d669cd7090876294cc2878de6f793267f753e3095e34d7
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size 3564397
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geo_rec/mlp_refcocoplus_clip_t03/train.log
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[LOG] appending console output → /storage/minh/philo/workspace/horse/outputs/geo_rec/mlp_refcocoplus_clip_t03/train.log
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[MLP] CLIP text encoder (clip/pretrained_checkpoints/CS/CS-ViT-L-14-336px.pt)
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[HORSERefCOCOgDataset] 120175 rows, 98404 with target in pool (0.819 coverage)
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[DATA] train-pool[0] n=120175 x1
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[HORSERefCOCOgDataset] 10757 rows, 8743 with target in pool (0.813 coverage)
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[DATA] val-pool[0] n=10757
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[MLP] 20 epochs, 120175 rows, loss=rec_selection only, best=top1_acc
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[MLP e0] loss=0.6929 train_acc=0.611 val_acc=0.615 gIoU=0.602 best_metric=top1_acc:0.6151
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saved best top1_acc=0.6151
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[MLP e1] loss=0.6283 train_acc=0.639 val_acc=0.629 gIoU=0.614 best_metric=top1_acc:0.6294
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saved best top1_acc=0.6294
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Traceback (most recent call last):
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File "<frozen runpy>", line 198, in _run_module_as_main
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File "<frozen runpy>", line 88, in _run_code
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File "/storage/minh/philo/workspace/horse/geo_rec/train_mlp.py", line 352, in <module>
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main()
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File "/storage/minh/philo/workspace/horse/geo_rec/train_mlp.py", line 292, in main
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loss.backward()
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File "/home/minh/miniconda3/envs/segment/lib/python3.12/site-packages/torch/_tensor.py", line 630, in backward
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torch.autograd.backward(
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File "/home/minh/miniconda3/envs/segment/lib/python3.12/site-packages/torch/autograd/__init__.py", line 364, in backward
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_engine_run_backward(
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File "/home/minh/miniconda3/envs/segment/lib/python3.12/site-packages/torch/autograd/graph.py", line 865, in _engine_run_backward
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return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn
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[LOG] appending console output → /storage/minh/philo/workspace/horse/outputs/geo_rec/mlp_refcocoplus_clip_t03/train.log
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[MLP] CLIP text encoder (clip/pretrained_checkpoints/CS/CS-ViT-L-14-336px.pt)
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[HORSERefCOCOgDataset] 120175 rows, 98404 with target in pool (0.819 coverage)
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[DATA] train-pool[0] n=120175 x1
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[HORSERefCOCOgDataset] 10757 rows, 8743 with target in pool (0.813 coverage)
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[DATA] val-pool[0] n=10757
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[MLP] 20 epochs, 120175 rows, loss=rec_selection only, best=top1_acc
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[MLP e0] loss=0.6929 train_acc=0.611 val_acc=0.615 gIoU=0.602 best_metric=top1_acc:0.6151
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saved best top1_acc=0.6151
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[MLP e1] loss=0.6283 train_acc=0.639 val_acc=0.629 gIoU=0.614 best_metric=top1_acc:0.6294
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saved best top1_acc=0.6294
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[MLP e2] loss=0.6004 train_acc=0.651 val_acc=0.631 gIoU=0.615 best_metric=top1_acc:0.6309
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saved best top1_acc=0.6309
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[MLP e3] loss=0.5818 train_acc=0.659 val_acc=0.636 gIoU=0.618 best_metric=top1_acc:0.6357
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saved best top1_acc=0.6357
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[MLP e4] loss=0.5617 train_acc=0.668 val_acc=0.636 gIoU=0.618 best_metric=top1_acc:0.6362
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saved best top1_acc=0.6362
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[MLP e5] loss=0.5466 train_acc=0.674 val_acc=0.638 gIoU=0.619 best_metric=top1_acc:0.6380
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saved best top1_acc=0.6380
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[MLP e6] loss=0.5320 train_acc=0.680 val_acc=0.639 gIoU=0.620 best_metric=top1_acc:0.6395
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saved best top1_acc=0.6395
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[MLP e7] loss=0.5179 train_acc=0.688 val_acc=0.637 gIoU=0.620 best_metric=top1_acc:0.6374
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[MLP e8] loss=0.5015 train_acc=0.694 val_acc=0.642 gIoU=0.623 best_metric=top1_acc:0.6424
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saved best top1_acc=0.6424
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[MLP e9] loss=0.4865 train_acc=0.700 val_acc=0.637 gIoU=0.618 best_metric=top1_acc:0.6369
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[MLP e10] loss=0.4713 train_acc=0.706 val_acc=0.632 gIoU=0.615 best_metric=top1_acc:0.6318
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[MLP e11] loss=0.4545 train_acc=0.713 val_acc=0.636 gIoU=0.618 best_metric=top1_acc:0.6360
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[MLP e12] loss=0.4409 train_acc=0.719 val_acc=0.637 gIoU=0.618 best_metric=top1_acc:0.6369
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[MLP e13] loss=0.4285 train_acc=0.724 val_acc=0.634 gIoU=0.616 best_metric=top1_acc:0.6339
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[MLP e14] loss=0.4124 train_acc=0.730 val_acc=0.633 gIoU=0.615 best_metric=top1_acc:0.6334
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[MLP e15] loss=0.4015 train_acc=0.734 val_acc=0.629 gIoU=0.611 best_metric=top1_acc:0.6294
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[MLP e16] loss=0.3882 train_acc=0.739 val_acc=0.631 gIoU=0.612 best_metric=top1_acc:0.6311
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[MLP e17] loss=0.3775 train_acc=0.744 val_acc=0.628 gIoU=0.610 best_metric=top1_acc:0.6281
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[MLP e18] loss=0.3659 train_acc=0.748 val_acc=0.631 gIoU=0.612 best_metric=top1_acc:0.6310
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[MLP e19] loss=0.3541 train_acc=0.752 val_acc=0.631 gIoU=0.613 best_metric=top1_acc:0.6310
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[DONE] best top1_acc=0.6424 → /storage/minh/philo/workspace/horse/outputs/geo_rec/mlp_refcocoplus_clip_t03/checkpoint_best.pt
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geo_rec/mlp_refcocoplus_clip_t03/train_log.jsonl
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{"rec_selection": 0.6928558333752558, "top1_acc": 0.6112356638834472, "target_cov": 0.8188407003062176, "epoch": 0, "sec": 537.5667939186096, "val_ref_top1_acc": 0.6151343311332156, "val_ref_n": 10757, "val_ref_top1_giou": 0.6015894352784878, "val_top1_acc": 0.6151343311332156, "val_n": 10757, "val_top1_giou": 0.6015894352784878, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6151343311332156}
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{"rec_selection": 0.6283445353869158, "top1_acc": 0.6385836487437472, "target_cov": 0.818838322840786, "epoch": 1, "sec": 571.7028579711914, "val_ref_top1_acc": 0.6293576275913358, "val_ref_n": 10757, "val_ref_top1_giou": 0.6138146547554909, "val_top1_acc": 0.6293576275913358, "val_n": 10757, "val_top1_giou": 0.6138146547554909, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6293576275913358}
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{"rec_selection": 0.6928558333752558, "top1_acc": 0.6112356638834472, "target_cov": 0.8188407003062176, "epoch": 0, "sec": 576.2353892326355, "val_ref_top1_acc": 0.6151343311332156, "val_ref_n": 10757, "val_ref_top1_giou": 0.6015894352784878, "val_top1_acc": 0.6151343311332156, "val_n": 10757, "val_top1_giou": 0.6015894352784878, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6151343311332156}
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{"rec_selection": 0.6283445353869158, "top1_acc": 0.6385836487437472, "target_cov": 0.818838322840786, "epoch": 1, "sec": 585.7339565753937, "val_ref_top1_acc": 0.6293576275913358, "val_ref_n": 10757, "val_ref_top1_giou": 0.6138146547554909, "val_top1_acc": 0.6293576275913358, "val_n": 10757, "val_top1_giou": 0.6138146547554909, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6293576275913358}
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{"rec_selection": 0.600442249568522, "top1_acc": 0.6513024622671117, "target_cov": 0.8188940245560977, "epoch": 2, "sec": 706.3413136005402, "val_ref_top1_acc": 0.6309379938644604, "val_ref_n": 10757, "val_ref_top1_giou": 0.6150590017589099, "val_top1_acc": 0.6309379938644604, "val_n": 10757, "val_top1_giou": 0.6150590017589099, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6309379938644604}
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{"rec_selection": 0.5817719047920337, "top1_acc": 0.6586542119177586, "target_cov": 0.8188371341080701, "epoch": 3, "sec": 788.3186116218567, "val_ref_top1_acc": 0.6356790926838338, "val_ref_n": 10757, "val_ref_top1_giou": 0.6175066720952122, "val_top1_acc": 0.6356790926838338, "val_n": 10757, "val_top1_giou": 0.6175066720952122, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6356790926838338}
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{"rec_selection": 0.5616950615653368, "top1_acc": 0.6681082032067254, "target_cov": 0.8188371341080701, "epoch": 4, "sec": 783.758184671402, "val_ref_top1_acc": 0.6362368690155248, "val_ref_n": 10757, "val_ref_top1_giou": 0.6182455866350639, "val_top1_acc": 0.6362368690155248, "val_n": 10757, "val_top1_giou": 0.6182455866350639, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6362368690155248}
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{"rec_selection": 0.5465682765795992, "top1_acc": 0.6739306160488426, "target_cov": 0.8188359453753542, "epoch": 5, "sec": 780.3388197422028, "val_ref_top1_acc": 0.6380031607325463, "val_ref_n": 10757, "val_ref_top1_giou": 0.6185067144455939, "val_top1_acc": 0.6380031607325463, "val_n": 10757, "val_top1_giou": 0.6185067144455939, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6380031607325463}
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{"rec_selection": 0.532025284174112, "top1_acc": 0.6796341556193773, "target_cov": 0.818838322840786, "epoch": 6, "sec": 784.4696545600891, "val_ref_top1_acc": 0.6394905642837222, "val_ref_n": 10757, "val_ref_top1_giou": 0.620352596676844, "val_top1_acc": 0.6394905642837222, "val_n": 10757, "val_top1_giou": 0.620352596676844, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6394905642837222}
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{"rec_selection": 0.5178949436061344, "top1_acc": 0.6876628563820683, "target_cov": 0.8188371341080701, "epoch": 7, "sec": 645.8662760257721, "val_ref_top1_acc": 0.6373524216789067, "val_ref_n": 10757, "val_ref_top1_giou": 0.6199016107196827, "val_top1_acc": 0.6373524216789067, "val_n": 10757, "val_top1_giou": 0.6199016107196827, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6373524216789067}
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{"rec_selection": 0.5014871103601534, "top1_acc": 0.6935815565741674, "target_cov": 0.8188407003062176, "epoch": 8, "sec": 640.2205522060394, "val_ref_top1_acc": 0.6423724086641257, "val_ref_n": 10757, "val_ref_top1_giou": 0.6231937696971628, "val_top1_acc": 0.6423724086641257, "val_n": 10757, "val_top1_giou": 0.6231937696971628, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6423724086641257}
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{"rec_selection": 0.4865100108469278, "top1_acc": 0.6997807976872017, "target_cov": 0.8188407003062176, "epoch": 9, "sec": 644.660968542099, "val_ref_top1_acc": 0.6368876080691642, "val_ref_n": 10757, "val_ref_top1_giou": 0.6180833143441334, "val_top1_acc": 0.6368876080691642, "val_n": 10757, "val_top1_giou": 0.6180833143441334, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6368876080691642}
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{"rec_selection": 0.4712653745503169, "top1_acc": 0.7060287768415847, "target_cov": 0.8188395115735018, "epoch": 10, "sec": 647.6695437431335, "val_ref_top1_acc": 0.6317746583619969, "val_ref_n": 10757, "val_ref_top1_giou": 0.6146525264915677, "val_top1_acc": 0.6317746583619969, "val_n": 10757, "val_top1_giou": 0.6146525264915677, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6317746583619969}
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{"rec_selection": 0.45451007529611104, "top1_acc": 0.7131350210167945, "target_cov": 0.8188395115735018, "epoch": 11, "sec": 640.4708299636841, "val_ref_top1_acc": 0.6359579808496792, "val_ref_n": 10757, "val_ref_top1_giou": 0.6176640986134436, "val_top1_acc": 0.6359579808496792, "val_n": 10757, "val_top1_giou": 0.6176640986134436, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6359579808496792}
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{"rec_selection": 0.44091313846209035, "top1_acc": 0.7194507579359797, "target_cov": 0.818838322840786, "epoch": 12, "sec": 643.3930237293243, "val_ref_top1_acc": 0.6368876080691642, "val_ref_n": 10757, "val_ref_top1_giou": 0.6179372716887854, "val_top1_acc": 0.6368876080691642, "val_n": 10757, "val_top1_giou": 0.6179372716887854, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6368876080691642}
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{"rec_selection": 0.42851798995347495, "top1_acc": 0.7242413507807596, "target_cov": 0.818838322840786, "epoch": 13, "sec": 648.0324771404266, "val_ref_top1_acc": 0.6339128009668124, "val_ref_n": 10757, "val_ref_top1_giou": 0.6161294430517357, "val_top1_acc": 0.6339128009668124, "val_n": 10757, "val_top1_giou": 0.6161294430517357, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6339128009668124}
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{"rec_selection": 0.4124142110411935, "top1_acc": 0.7295716282785248, "target_cov": 0.8188407003062176, "epoch": 14, "sec": 643.4120187759399, "val_ref_top1_acc": 0.6333550246351213, "val_ref_n": 10757, "val_ref_top1_giou": 0.6154138898826, "val_top1_acc": 0.6333550246351213, "val_n": 10757, "val_top1_giou": 0.6154138898826, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6333550246351213}
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{"rec_selection": 0.4014756351779661, "top1_acc": 0.7344454324134128, "target_cov": 0.818838322840786, "epoch": 15, "sec": 644.5486562252045, "val_ref_top1_acc": 0.6293576275913358, "val_ref_n": 10757, "val_ref_top1_giou": 0.6108365334158562, "val_top1_acc": 0.6293576275913358, "val_n": 10757, "val_top1_giou": 0.6108365334158562, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6293576275913358}
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{"rec_selection": 0.3881642584962128, "top1_acc": 0.7390315632310707, "target_cov": 0.8188395115735018, "epoch": 16, "sec": 647.0637109279633, "val_ref_top1_acc": 0.6311239193083573, "val_ref_n": 10757, "val_ref_top1_giou": 0.61223142398938, "val_top1_acc": 0.6311239193083573, "val_n": 10757, "val_top1_giou": 0.61223142398938, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6311239193083573}
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{"rec_selection": 0.3774915664045649, "top1_acc": 0.7439386518820017, "target_cov": 0.8188395115735018, "epoch": 17, "sec": 643.8690910339355, "val_ref_top1_acc": 0.6280561494840569, "val_ref_n": 10757, "val_ref_top1_giou": 0.60964622367854, "val_top1_acc": 0.6280561494840569, "val_n": 10757, "val_top1_giou": 0.60964622367854, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6280561494840569}
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| 21 |
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{"rec_selection": 0.36586949703061117, "top1_acc": 0.7477081233238869, "target_cov": 0.8188395115735018, "epoch": 18, "sec": 640.540935754776, "val_ref_top1_acc": 0.6310309565864088, "val_ref_n": 10757, "val_ref_top1_giou": 0.6123893842921593, "val_top1_acc": 0.6310309565864088, "val_n": 10757, "val_top1_giou": 0.6123893842921593, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6310309565864088}
|
| 22 |
+
{"rec_selection": 0.35411794523719764, "top1_acc": 0.7524273922057174, "target_cov": 0.818838322840786, "epoch": 19, "sec": 646.6505360603333, "val_ref_top1_acc": 0.6310309565864088, "val_ref_n": 10757, "val_ref_top1_giou": 0.6131318131033708, "val_top1_acc": 0.6310309565864088, "val_n": 10757, "val_top1_giou": 0.6131318131033708, "best_ckpt_metric": "top1_acc", "best_score_now": 0.6310309565864088}
|