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MEDVQA-GI-2026-Task2-Explainability
sageofai/MEDVQA-GI-2026-Task2-Explainability
MEDVQA-GI-2026-Task2-Explainability is a machine learning model from sageofai. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nc-4.0.
Models fine-tuned for ImageCLEFmed MEDVQA-GI 2026 — Subtask 2: Multimodal Explainability & Safety-Aware Reasoning.
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Updated Apr 2, 2026
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At a glance
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Apr 2, 2026
- Updated
- Apr 2, 2026
- SHA
- 9832d270
Datasets
Model card
From the Hugging Face model README
MEDVQA-GI-2026-Task2-Explainability
Models fine-tuned for ImageCLEFmed MEDVQA-GI 2026 — Subtask 2: Multimodal Explainability & Safety-Aware Reasoning.
Results
| Model | Token-F1 | BERTScore-F1 | Safety-Score | Halluc-Rate | ECE |
|---|---|---|---|---|---|
| MedGemma-KvasirFT | 0.4891 | 0.5602 | 0.7150 | 0.2880 | 0.8537 |
| Qwen2.5-VL-KvasirFT | 0.4967 | 0.5817 | 0.8511 | 0.3680 | 0.6838 |
| Qwen2.5-VL-TransfFT | 0.4954 | 0.5793 | 0.8401 | 0.3780 | 0.7016 |
| Qwen2.5-VL-Base | 0.4292 | 0.5174 | 0.8175 | 0.4560 | 0.7241 |
| Hybrid | 0.4456 | 0.5342 | 0.8309 | 0.3280 | 0.7359 |
Best model: Qwen2.5-VL-KvasirFT
- License
- cc-by-nc-4.0
- Languages
- en
- Created
- Apr 2, 2026
- Updated
- Apr 2, 2026