Direct Preference Optimization (DPO) style rewards #99
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steffencruz
reviewed
Jul 20, 2023
Eugene-hu
approved these changes
Aug 24, 2023
Merged
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Direct Preference Optimization (DPO) style rewards
Calculates a direct preference optimization (DPO) style reward for a completion, which is a reference model's average log-probability for completion tokens given a prompt.
Uses guidance from https://github.com/eric-mitchell/direct-preference-optimization/blob/main/trainers.py.