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**Performance:** The fine-tuned model demonstrates high accuracy in classifying alcohol-related expressions, ensuring that its application in research and clinical settings is both reliable and effective.
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**Getting Started:** To use or further fine-tune the model with your own dataset of clinical expressions, please refer to the source code: https://github.com/kartoun/alcohol_use_classification_llms. The code provides all necessary instructions to replicate the fine-tuning process or to adapt it to new datasets potentially drawn from real healthcare systems.
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**Performance:** The fine-tuned model demonstrates high accuracy in classifying alcohol-related expressions, ensuring that its application in research and clinical settings is both reliable and effective.
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**Classification performance using a held-out set:**
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**Getting Started:** To use or further fine-tune the model with your own dataset of clinical expressions, please refer to the source code: https://github.com/kartoun/alcohol_use_classification_llms. The code provides all necessary instructions to replicate the fine-tuning process or to adapt it to new datasets potentially drawn from real healthcare systems.
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