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@@ -50,6 +50,13 @@ Substantial improvements over the base Qwen2.5-7B-Instruct model:
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  *Metrics evaluated on QED dev set with 0.5 F1 overlap threshold*
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  ## Key Strengths
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  - **Answer Accuracy**: Achieves nearly 90% accuracy in answer span identification
 
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  *Metrics evaluated on QED dev set with 0.5 F1 overlap threshold*
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+ ## Training Code & Methodology
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+ This model was trained using comprehensive QED fine-tuning framework available on GitHub:
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+ **🔗 [QED Fine-Tuning Framework](https://github.com/denisrize/QED-LLM-ExplanationGeneration/tree/main)**
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  ## Key Strengths
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  - **Answer Accuracy**: Achieves nearly 90% accuracy in answer span identification