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@@ -20,7 +20,7 @@ This model is intended to be used for code completion in Python. It can suggest
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  The model was evaluated on a holdout set from the training data distribution, containing Python code snippets.
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  # Metrics
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- The primary evaluation metric was accuracy of code completion on the evaluation set. The model achieves XX% accuracy on code completion.
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  # Ethical Considerations
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  The training data contains code from public GitHub repositories. Care should be taken to avoid completing code in unethical or harmful ways not intended by the original developers.
 
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  The model was evaluated on a holdout set from the training data distribution, containing Python code snippets.
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  # Metrics
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+ The primary evaluation metric was accuracy of code completion on the evaluation set. The model achieves 49% accuracy on code completion.
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  # Ethical Considerations
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  The training data contains code from public GitHub repositories. Care should be taken to avoid completing code in unethical or harmful ways not intended by the original developers.