grpo-rl-training - Train language models with GRPO and TRL
Provides guidance for implementing GRPO reinforcement learning fine-tuning with TRL, custom reward functions, and task-specific training workflows.
Tags
Updated: 2026-10-03Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Prepare chat-format datasets
- Define composite reward functions
- Configure GRPO training
- Set up causal language models
- Apply LoRA fine-tuning
- Save trained models
Inputs
- Training dataset
- Base language model
- Reward functions
- Training configuration
- Ground-truth answers
Outputs
- Trained model
- Saved model files
- Training logs
- Training checkpoints
Requirements
- Transformers 4.47.0 or later
- TRL 0.14.0 or later
- Datasets 3.2.0 or later
- PEFT 0.14.0 or later
- PyTorch