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datasets: |
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- openai/gsm8k |
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## Introduction |
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The model is trained with Masked thought Fine-Tuning (MFT), a simple variant of standard Supervised Fine-Tuning (SFT). You can refer to our code and paper below. |
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## Links |
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- **Code**: [https://github.com/ChangyuChen347/MaskedThought](https://github.com/ChangyuChen347/MaskedThought) |
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- **Paper**: [https://arxiv.org/abs/2403.02178](https://arxiv.org/abs/2403.02178) |
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## Results |
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We test it with the scripts provided in our code. |
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| Model | GSM8K | |
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|---------------------------------------------------------------------------------------|-------| |
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| [adalaw/Llama2-7B-GSM8K-SFT](https://huggingface.co/adalaw/Llama2-7B-GSM8K-SFT) | 42.8 | |
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| [adalaw/Llama2-7B-GSM8K-MFT](https://huggingface.co/adalaw/Llama2-7B-GSM8K-MFT) | 47.3 | |
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