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README.md
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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
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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.
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