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@@ -8,6 +8,13 @@ see our paper in https://arxiv.org/abs/2309.12284
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  View the project page:
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  https://meta-math.github.io/
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  ## Model Details
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  MetaMath-Llemma-7B is fully fine-tuned on the MetaMathQA datasets and based on the powerful Llemma-7B model. It is glad to see using MetaMathQA datasets and change the base model from llama-2-7B to Llemma-7B can boost the MATH performance from 19.8 to **30.0**.
 
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  View the project page:
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  https://meta-math.github.io/
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+ ## Note
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+ All MetaMathQA data are augmented from the training sets of GSM8K and MATH.
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+ <span style="color:red"><b>None of the augmented data is from the testing set.</b></span>
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+ You can check the `original_question` in `meta-math/MetaMathQA`, each item is from the GSM8K or MATH train set.
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  ## Model Details
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  MetaMath-Llemma-7B is fully fine-tuned on the MetaMathQA datasets and based on the powerful Llemma-7B model. It is glad to see using MetaMathQA datasets and change the base model from llama-2-7B to Llemma-7B can boost the MATH performance from 19.8 to **30.0**.