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README.md
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results: []
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---
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training results
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### Framework versions
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- name: ScienceLLaMA-1B
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results: []
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# ScienceLLaMA-3B
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<p align="center">
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• 🤗 <a href="https://huggingface.co/datasets/JingyaoLi/Science-Logits-1.2M" target="_blank">Data </a>
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• 🤗 <a href="https://huggingface.co/JingyaoLi/ScienceLLaMA-3b" target="_blank">ScienceLLaMA-3B </a>
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• 🤗 <a href="https://huggingface.co/JingyaoLi/ScienceLLaMA-1b" target="_blank">ScienceLLaMA-1B </a>
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• 🐱 <a href="Logits-based Finetuning" target="_blank">Code</a>
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• 📃 Paper (TO be released) <br>
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</p>
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This model is a fine-tuned with **Logits-Based Finetuning** on the [JingyaoLi/Science-Logits-1.2M](https://huggingface.co/datasets/JingyaoLi/Science-Logits-1.2M), which integrates the strengths of supervised learning and knowledge distillation by combining teacher logits with ground truth labels. This preserves both correctness and linguistic diversity.
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<div style="text-align: center;">
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<img src="./images/example.png" alt="example" />
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</div>
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## Training procedure
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- num_epochs: 1
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### Training results
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<div style="text-align: center;">
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<img src="./images/performance.png" alt="performance" />
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</div>
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### Framework versions
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