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README.md
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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**.
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