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Download data/delhi_cd/v2_improvement_results.json from coderuday21/satdetect-dev: direct link, hf CLI and curl.
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curl -L -o v2_improvement_results.json https://huggingface.co/spaces/coderuday21/satdetect-dev/resolve/main/data/delhi_cd/v2_improvement_results.json
1.75 kB
| { | |
| "plan_source": "Claude priority improvement plan", | |
| "run": "runs/finetune_v2/20260716_210208", | |
| "weights": "models/adaptformer_delhi/best_v2", | |
| "logit_probe": { | |
| "verdict": "CORRECT — AdaptFormer logits (N,2,H,W); change = softmax channel 1 (last)", | |
| "why_5e-5_before": "Hub Delhi probs peak ~1e-2 with mean ~1e-4; after CE-only fix, calibration grid favored tiny thr. With focal+dice + stratified split, thr converges to ~0.5" | |
| }, | |
| "class_imbalance": { | |
| "train_bg_to_change": "≈11.5:1", | |
| "note": "Previous non-stratified split had val change%≈25% vs test≈7% — inflated Val F1 and Val/Test gap" | |
| }, | |
| "implemented": [ | |
| "1 logit→prob probe + output_probe.json", | |
| "2 auto thr = fixed grid + score quantiles; freeze with best ckpt for test", | |
| "3 imbalance report; Focal+Dice; positive-tile oversample×3 + WeightedRandomSampler", | |
| "4 Precision/Recall/IoU logged each epoch", | |
| "5 visuals/ Before|After|GT|Pred|Prob each epoch", | |
| "6 lazy tile index (pair_i, kind, x, y)", | |
| "7 brightness/contrast + rot + flips; ReduceLROnPlateau", | |
| "8 stratified split (--stratify)" | |
| ], | |
| "scores": { | |
| "day5_broken": {"val_f1": 0.0001, "test_f1": 0.0025, "thr": 0.5}, | |
| "fix_6ep": {"val_f1": 0.3664, "test_f1": 0.1389, "thr": 5e-05}, | |
| "v2_12ep": { | |
| "best_val_f1": 0.5926, | |
| "test_f1": 0.3975, | |
| "test_precision": 0.557, | |
| "test_recall": 0.34, | |
| "test_iou": 0.272, | |
| "frozen_threshold": 0.5 | |
| } | |
| }, | |
| "targets": { | |
| "val_f1_0.5_plus": "HIT (0.59)", | |
| "test_closer_to_val": "IMPROVED (0.14→0.40; gap 0.23→0.20). Still limited by N=24 and domain shift; next: more labels / recall-focused loss weight" | |
| }, | |
| "load": "ADAPTFORMER_WEIGHTS=models/adaptformer_delhi/best_v2" | |
| } | |