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@@ -26,6 +26,8 @@ This model was fine-tuned using LoRa on 1 T4 GPU. The model was trained for 10,0
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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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  ## 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