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README.md

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 # MarianCG: A TRANSFORMER MODEL FOR AUTOMATIC CODE GENERATION
-This model is to improve the solving of the code generation problem and implement a transformer model that can work with high accurate results. We implemented MarianCG transformer model which is a code generation model that can be able to generate code from natural language. This work declares the impact of using Marian machine translation model for solving the problem of code generation. In our implementation we prove that a machine translation model can be operated and working as a code generation model.Finally, we set the new contributors and state-of-the-art on CoNaLa reaching a BLEU score of 30.92 in the code generation problem with CoNaLa dataset.
+This model is to improve the solving of the code generation problem and implement a transformer model that can work with high accurate results. We implemented MarianCG transformer model which is a code generation model that can be able to generate code from natural language. This work declares the impact of using Marian machine translation model for solving the problem of code generation. In our implementation, we prove that a machine translation model can be operated and working as a code generation model. Finally, we set the new contributors and state-of-the-art on CoNaLa reaching a BLEU score of 30.92 and Exact Match Accuracy of 6.2 in the code generation problem with CoNaLa dataset.
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+MarianCG model and its implemetation with the code of training and the generated output is available at this repository:
+https://github.com/AhmedSSoliman/MarianCG-NL-to-Code
 
 CoNaLa Dataset for Code Generation is available at
 https://huggingface.co/datasets/AhmedSSoliman/CoNaLa