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@@ -11,7 +11,7 @@ This model is a fine-tuned version of the CodeGemma-2B base model that generates
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  ## Model Details
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  ### Model Description
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- The DocuMint model is a fine-tuned variant of Google's CodeGemma-2B base model, which was originally trained to predict the next token on internet text without any instructions. The DocuMint model has been fine-tuned using supervised instruction fine-tuning on a dataset of 100,000 Python functions and their respective docstrings extracted from the Free and open-source software (FLOSS) ecosystem. The fine-tuning was performed using Low-Rank Adaptation (LoRA).
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  The goal of the DocuMint model is to generate docstrings that are concise (brief and to the point), complete (cover functionality, parameters, return values, and exceptions), and clear (use simple language and avoid ambiguity).
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  ## Model Details
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  ### Model Description
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+ The DocuMint model is a fine-tuned variant of Google's CodeGemma-2B base model, which was originally trained to predict the next token on internet text without any instructions. The DocuMint model has been fine-tuned using supervised instruction fine-tuning on a dataset of 100,000 Python functions and their respective docstrings extracted from the Free and open-source software (FOSS) ecosystem. The fine-tuning was performed using Low-Rank Adaptation (LoRA).
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  The goal of the DocuMint model is to generate docstrings that are concise (brief and to the point), complete (cover functionality, parameters, return values, and exceptions), and clear (use simple language and avoid ambiguity).
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