Conversational dataset support for ORPOTrainer
#2184
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
edbeeching
approved these changes
Oct 11, 2024
lewtun
approved these changes
Oct 11, 2024
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| [](https://huggingface.co/models?other=orpo,trl) | |||
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| [Odds Ratio Preference Optimization](https://huggingface.co/papers/2403.07691) (ORPO) by Jiwoo Hong, Noah Lee, and James Thorne studies the crucial role of SFT within the context of preference alignment. Using preference data the method posits that a minor penalty for the disfavored generation together with a strong adaption signal to the chosen response via a simple log odds ratio term appended to the NLL loss is sufficient for preference-aligned SFT. | |||
| ## Overview | |||
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What does this PR do?
Part of #2071
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