Which reward model you use in PPO training？
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
Read the paper and locate the PPO training entry point and Llama-Factory configuration. Determine which reward model is used and whether critic/value updates are frozen so only the actor policy changes. Done means documenting clear answers to both questions and identifying the relevant training configuration.
Written by the indexing model from the issue text.
Description
Good work. I am very confused about your PPO training, and I want to know which reward model you use? Because you don't mention it in your paper. And do you change the llama-factory to frozen critic(value) update to ensure only update actor policy?
- Dominant language
- Python
- Stars
- 44
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
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