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.
- Training a language model on example responses
- Training with preferred and rejected response pairs
- Debugging GRPO reward functions and batch settings