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

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Dataset used to train sageofai/MEDVQA-GI-2026-Task1-VQA