config.json

{
  "model_name": "RCMTUNetV4-VLM",
  "version": "4.0",
  "architecture": {
    "segmentation": "RCMTUNetV4",
    "vlm": "LLaVA-Med-v1.5-Mistral-7B (microsoft/llava-med-v1.5-mistral-7b)",
    "vlm_fallback": "llava-hf/llava-v1.6-mistral-7b-hf",
    "vlm_quantization": "4-bit NF4 BitsAndBytes",
    "rag_embedder": "sentence-transformers/all-MiniLM-L6-v2",
    "rag_index": "FAISS IndexFlatIP dim=384",
    "rag_n_chunks": 40,
    "rag_top_k": 4,
    "in_channels": 4,
    "num_classes": 4,
    "fusion_dim": 24,
    "num_heads": 4,
    "input_size": [
      128,
      128,
      128
    ],
    "features": [
      24,
      48,
      96,
      192
    ]
  },
  "vlm_not_finetuned": true,
  "vlm_note": "LLaVA-Med utilis\u00e9 tel quel \u2014 pas fine-tun\u00e9. Recharger depuis HF hub directement.",
  "training": {
    "dataset": "UCSF-PDGM-v5",
    "n_patients_eval": 50,
    "seed": 42,
    "device": "Tesla T4"
  },
  "performance": {
    "global_score": 0.8522,
    "bert_score_f": 0.8141,
    "tbfact_score": 0.9218,
    "radgraph_f1": 0.8713,
    "rg_entity_f1": 0.9076,
    "hallucination_score": 1.0,
    "crossval_score": 1.0,
    "innovation_score": 0.8767,
    "rougeL": 0.3017,
    "bleu1": 0.1926,
    "article_score": 0.8558
  },
  "labels": {
    "0": "Background",
    "1": "Edema (ED)",
    "2": "Tumor Core (TC)",
    "3": "Enhancing Tumor (ET)"
  },
  "modalities": [
    "T1",
    "T1c",
    "T2",
    "FLAIR"
  ],
  "timestamp": "2026-04-23T18:41:37.191201"
}