Weight averaging of pretrained and fine-tuned models is shown, in a linear model and on three LLM families, to reduce overadaptation and improve both downstream and retained knowledge.
Ensemble of averages: Improving model selection and boosting performance in domain generalization
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Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods
Weight averaging of pretrained and fine-tuned models is shown, in a linear model and on three LLM families, to reduce overadaptation and improve both downstream and retained knowledge.