trl-training

What problem does it solve?

Train and fine-tune transformer language models using TRL to simplify complex RLHF-aligned training workflows and experiments.

Core Features & Use Cases

• CLI-driven training for SFT, DPO, GRPO, RLOO, and reward-model training on diverse datasets.
• PEFT/LoRA support to enable efficient fine-tuning on large models.
• Distributed training with Accelerate for multi-GPU and multi-node setups.
• Reproducibility through YAML configuration files to lock in hyperparameters and datasets.

Quick Start

Run a TRL training job using the sft command with your model and dataset to begin fine-tuning.