Create README.md

README.md

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+# ClinicalRewardModel-Qwen2_5-7B
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+This is a 5-head reward model fine-tuned on clinical decision-making data using the [Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) backbone. It is trained to evaluate clinical vignette–based multiple-choice questions across five expert-defined clinical criteria:
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+- Clinical Plausibility  
+- Clinical Utility  
+- Quality of Decision Path  
+- Alignment to Decision Path  
+- Correctness of the Suggested Answer  
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+Each head independently scores one dimension on a 1–5 Likert scale. This model supports fine-grained quality filtering for guideline-based QA datasets such as [MedGUIDE-MCQA-8K](https://huggingface.co/datasets/MedGUIDE/MedGUIDE-MCQA-8K).