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README.md
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@@ -103,12 +103,11 @@ Four evaluation metrics were employed across all subsets: language quality, over
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- **Instruction following:** This metric assessed the model's ability to follow specific instructions provided for each task.
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- **Overall score:** This metric combined the results from the previous three metrics, offering a comprehensive evaluation of the model's capabilities across all subsets.
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| **Average_language_quality**
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| extraction_recall_overall_score
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| qa_multiple_references_overall_score
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## Model Details
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### Data
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- **Instruction following:** This metric assessed the model's ability to follow specific instructions provided for each task.
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- **Overall score:** This metric combined the results from the previous three metrics, offering a comprehensive evaluation of the model's capabilities across all subsets.
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| Metric | [Vanila-Phi-3.5-Mini-4B](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) | [GRAG-Phi3.5-SFT-Mini-4B](https://huggingface.co/avemio/GRAG-PHI-3.5-MINI-4B-SFT-HESSIAN-AI) | [GRAG-ORPO-Phi3-5-Mini-4B](https://huggingface.co/avemio/GRAG-PHI-3.5-MINI-4B-ORPO-HESSIAN-AI) | [GRAG-Merge-Phi3.5-Mini-4B]() |
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| **Average_language_quality** | 80.33 | 86.45 | | |
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| **extraction_recall_overall_score** | 64.43 | 65.68 | | |
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| **qa_multiple_references_overall_score** | 59.82 | 63.12 | | |
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## Model Details
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### Data
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