How can I fine-tune a summarization model?
To fine-tune a summarization model, you need a dataset of documents and their corresponding summaries. Do you have a specific model in mind?
I'm thinking about using BART. What steps should I follow?
Great choice! First, gather your dataset, then preprocess the text. Next, set up the BART model with a suitable framework like Hugging Face's Transformers.
What kind of dataset do I need?
You need a dataset that pairs long texts with their concise summaries. Common sources include news articles or academic papers.
How long does the fine-tuning process usually take?
It depends on your dataset size and hardware, but typically it can take from a few hours to several days.
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