Fine-tuned model handles prompts differently

I’ve been following the docs: fine-tuning for maintaining company voice.

I used ~500 articles as the training set on the da-vinci model. However, now when I give it a prompt that’s something like “Write an article about…” that would usually give us an article with the base model, the fine-tuned model thinks that the prompt is the lead in to the article. And proceeds to generate an article that’s usually something like a community challenge about writing an article.

Any tips on getting the fine-tuned model to understand instructions in the prompt rather than assume that’s the start of the text it needs to generate?

What did you use for a prompt in your fine-tuning data?

I left the prompt blank as recommended in the docs