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README.md
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## Evaluation results
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We evaluate our models on the MultiPle-E bencchmark. The model achieves 8.9 Pass@10 Rate.
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![final_pass_at_10](https://raw.githubusercontent.com/ammarnasr/LLM-for-code-intelligence/main/figs/final_pass_at_10.png
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## Intended Use and Limitations
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## Evaluation results
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We evaluate our models on the MultiPle-E bencchmark. The model achieves 8.9 Pass@10 Rate.
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![final_pass_at_10](https://raw.githubusercontent.com/ammarnasr/LLM-for-code-intelligence/main/figs/final_pass_at_10.png)
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## Intended Use and Limitations
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