model/config.json

{
  "dataset_csv": "/dgx1data/radiology/chens/m317862/Project/BreastTumor/data/dual_grounding_baselines/sam3_finetune/sam3_buscot_dataset.csv",
  "protocol": "all_public_indomain",
  "heldout_dataset": null,
  "train_datasets": [
    "BUSCoT"
  ],
  "test_dataset": null,
  "output_dir": "/dgx1data/radiology/chens/m317862/Project/BreastTumor/outputs/dual_grounding_baselines/sam3_lora_text",
  "sam3_checkpoint": "/dgx1data/radiology/chens/m317862/Model/sam3/sam3.pt",
  "encoder": "sam3",
  "encoder_trainable": "lora",
  "decoder": "sam3_native",
  "prompt_type": "semantic_text",
  "prompt_text": "breast lesion",
  "lora_rank": 8,
  "lora_alpha": 16.0,
  "no_train_native_head": false,
  "image_size": 512,
  "epochs": 50,
  "patience": 10,
  "batch_size": 2,
  "lr": 0.0001,
  "encoder_lr": 1e-05,
  "weight_decay": 0.0001,
  "num_workers": 4,
  "use_amp": true,
  "seed": 42,
  "resume": false,
  "debug": false,
  "max_train_samples": null,
  "max_val_samples": null,
  "max_test_samples": null,
  "bootstrap_resamples": 2000,
  "val_datasets": [
    "BUSCoT"
  ],
  "test_datasets": [
    "BUSCoT"
  ],
  "n_train": 3687,
  "n_val": 651,
  "n_test": 825,
  "loss": "BCEWithLogitsLoss + DiceLoss",
  "augmentation": "hflip, small rotation, brightness/contrast jitter",
  "checkpoint_path": "/dgx1data/radiology/chens/m317862/Model/sam3/sam3.pt",
  "prompt_note": "Main decoder comparison should use prompt_type=none for all runs. Prompt-based sam3_native runs are reference baselines only.",
  "prompt_purpose": "semantic lesion localization, not OCR/text segmentation",
  "train_native_head": true
}