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Description
This PR introduces support for remote generative models to enhance the verification and reward assignment process in VERL. Previously, VERL only supported rule-based rewards for verification. With this update, we enable more flexible and dynamic reward mechanisms using generative models.
Key Changes
Bug Fix:
main_ppo.py
where theval_dataloader
was incorrectly processed in batches. This ensures proper handling of validation data during training.New Features:
workers/reward_manager
to handle reward generation using remote generative models.compute_score
function inutils/reward_score
to calculate scores based on generative model outputs.Issue Resolution: