Hugging Face's free tutorial walks through fine-tuning a masked language model for domain adaptation
ben_burtenshaw · x · 2026-09-21
A Hugging Face team member points to the "Fine-tuning a masked language model" lesson in the free HF LLM Course. The tutorial covers domain adaptation of pretrained MLMs like BERT: when your corpus differs sharply from pretraining data (legal contracts, scientific articles), domain-specific tokens get treated as rare, and one round of in-domain fine-tuning boosts downstream performance. It also traces the approach back to ULMFiT (2018).
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