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MEDVQA-GI-2026-Task1-VQA
sageofai/MEDVQA-GI-2026-Task1-VQA
MEDVQA-GI-2026-Task1-VQA 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 1: Clinically Relevant VQA.
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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
- ce97a478
Datasets
Model card
From the Hugging Face model README
MEDVQA-GI-2026-Task1-VQA
Models fine-tuned for ImageCLEFmed MEDVQA-GI 2026 — Subtask 1: Clinically Relevant VQA.
Results
| Model | BLEU-4 | ROUGE-L | METEOR | Token-F1 | BERTScore-F1 |
|---|---|---|---|---|---|
| Qwen2.5-VL-Base | 0.0719 | 0.3388 | 0.2655 | 0.2563 | 0.3631 |
| Qwen2.5-VL-KvasirFT | 0.1326 | 0.4499 | 0.3760 | 0.4170 | 0.5107 |
| Qwen2.5-VL-TransfFT | 0.1413 | 0.4532 | 0.3837 | 0.4249 | 0.5146 |
| MedGemma-KvasirFT | 0.1520 | 0.4594 | 0.4057 | 0.4402 | 0.5133 |
| Hybrid | 0.1389 | 0.4401 | 0.3764 | 0.4074 | 0.4955 |
Best model: MedGemma-KvasirFT
- License
- cc-by-nc-4.0
- Languages
- en
- Created
- Apr 2, 2026
- Updated
- Apr 2, 2026