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README.md
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- the probability (logits after passing softmax function) in last layer of this model can be used to quantify the preference from user input
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- fine-tuned [studio-ousia/mluke-large-lite](https://huggingface.co/studio-ousia/mluke-large-lite) via full parameter tuning using [open-preference-v0.3](https://huggingface.co/datasets/ryota39/open_preference-v0.3)
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- trained on bf16 format
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## Metric
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- the probability (logits after passing softmax function) in last layer of this model can be used to quantify the preference from user input
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- fine-tuned [studio-ousia/mluke-large-lite](https://huggingface.co/studio-ousia/mluke-large-lite) via full parameter tuning using [open-preference-v0.3](https://huggingface.co/datasets/ryota39/open_preference-v0.3)
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- trained on bf16 format
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- Label 0 stands for rejected sentence
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- Label 1 stands for chosen sentence
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## Metric
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