Fine Tuning With Trl
원문: fine-tuning-with-trl
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Tra
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TRL Transformer Reinforcement Learning Quick start TRL provides post training methods for aligning language models with human preferences. Installation : Supervised Fine Tuning (instruction tuning): DPO (align with preferences): Common workflows Workflow 1: Full RLHF pipeline (SFT → Reward Model → PPO) Complete pipeline from base model to human aligned model. Copy this checklist: Step 1: Supervised fine tuning Train base model on instruction following data: Step 2: Train reward model Train model to predict human preferences: Step 3: PPO reinforcement learning Optimize policy using reward model: Step 4: Evaluate Workflow 2: Simple preference alignment with DPO Align model with preferences wit…
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