Learning rate decay during SFT increases pretrained model sharpness, which exacerbates catastrophic forgetting and causes overtraining in LLMs.
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(How) Learning Rates Regulate Catastrophic Overtraining
Learning rate decay during SFT increases pretrained model sharpness, which exacerbates catastrophic forgetting and causes overtraining in LLMs.