Write and debug code for further training large language models with TRL. Match training methods to dataset formats, configure supervised or preference-based training, and set up reward functions through Python or the command line.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
- Training a language model on example responses
- Training with preferred and rejected response pairs
- Debugging GRPO reward functions and batch settings