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datasets: |
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- TIGER-Lab/MathInstruct |
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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 Hybrid decoding scripts provided in [MAmmoTH](https://github.com/TIGER-AI-Lab/MAmmoTH). |
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| Model | GSM8K | MATH | |
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|----------------------------------------------------------------------------------------------------------------------------------|-------|-------| |
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| [adalaw/MAmmoTH-7B-Mistral-MFT](https://huggingface.co/adalaw/MAmmoTH-7B-Mistral-MFT) | 77.10 | 41.2 | |
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| [TIGER-Lab/MAmmoTH-7B-Mistral-SFT](https://huggingface.co/TIGER-Lab/MAmmoTH-7B-Mistral) | 75.00 | 40.0 | |
