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# outputs
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) using [SPIN](https://github.com/uclaml/SPIN) on [ultrachat_200k dataset](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k).
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## Training procedure
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### Training hyperparameters
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# outputs
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) using [SPIN](https://github.com/uclaml/SPIN) on [ultrachat_200k dataset](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k).
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# What's new
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I think SPIN not only can use on a SFT model, but also it can use on a pretrained model.
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Therefore, I use SPIN on a pretrained model microsoft/phi-2. And I get a higher score better than origin pretrained model. You can check the [open llm leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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## Training procedure
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### Training hyperparameters
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