Your question is Fine-Tune a Domain Language Model. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are adapting a pretrained language model to perform well on text from a specialized domain rather than general internet text. The data uses domain vocabulary, formatting, and label definitions that differ from what the base model saw during pretraining.
How would you fine-tune a language model for a domain-specific task?