Simpo 학습
원문: simpo-training
Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.
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SimPO Simple Preference Optimization Quick start SimPO is a reference free preference optimization method that outperforms DPO without needing a reference model. Installation : Training (Mistral 7B): Common workflows Workflow 1: Train from base model (Mistral 7B) Config ( mistral 7b base simpo.yaml ): Launch training : Workflow 2: Fine tune instruct model (Llama 3 8B) Config ( llama3 8b instruct simpo.yaml ): Launch : Workflow 3: Reasoning intensive tasks (lower LR) For math/code tasks : When to use vs alternatives Use SimPO when : Want simpler training than DPO (no reference model) Have preference data (chosen/rejected pairs) Need better performance than DPO Limited compute resources Single…
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