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Principle:Alibaba ROLL DPO Validation

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Knowledge Sources
Domains Alignment, Evaluation
Last Updated 2026-02-07 20:00 GMT

Overview

An evaluation principle for monitoring DPO training progress by computing loss and preference accuracy on held-out data.

Description

DPO Validation evaluates the trained policy on a held-out preference dataset without gradient computation. It measures the DPO loss and preference accuracy (fraction of times the model assigns higher probability to the chosen response) to detect overfitting and monitor alignment progress.

Usage

Use at configured evaluation intervals during DPO training.

Theoretical Basis

Preference accuracy measures alignment quality: acc=𝔼[𝟙[logπθ(yw|x)logπθ(yl|x)>0]]

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