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@@ -42,21 +42,6 @@ MedMistralInstruct-CPT-SFT-7B is a French medical language model based on Mistra
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  - **Hardware**: 1 NVIDIA H100 80GB GPU
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  - **Training Time**: ~42 hours
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- ### Performance
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- | Task Type | Dataset | Performance |
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- |-----------|---------|-------------|
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- | **Translated MCQ** | Average | 43.20% |
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- | | PubMedQA | 59.20% |
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- | | MedQA (4 options) | 36.29% |
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- | | MedQA (5 options) | 31.50% |
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- | **Native French MCQ** | Average | 35.50% |
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- | | FrBMedQA | 50.79% |
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- | | FrMedMCQA | 20.21% |
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- | **Open-Ended QA** | Average F1 BERTScore | 0.67 |
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- ---
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  ### Computational Requirements
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  - **Carbon Emissions**: 33.96 kgCO2e (CPT+SFT)
 
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  - **Hardware**: 1 NVIDIA H100 80GB GPU
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  - **Training Time**: ~42 hours
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  ### Computational Requirements
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  - **Carbon Emissions**: 33.96 kgCO2e (CPT+SFT)