How can you fine-tune a Hugging Face BART model for text summarization

Question

With the help of a code snippet, can you tell me how you can fine-tune a Hugging Face BART model for text summarization?

Answer 1

To fine-tune a Hugging Face BART model for text summarization, you can use the BartForConditionalGeneration model with a summarization dataset and the Trainer API. 

Here is the code example you can refer to:

In the above code, we are using the following approaches:

• Dataset Preparation: Use the CNN/DailyMail dataset and tokenize inputs/targets for summarization.
• Model Selection: Load the BART model (facebook/bart-base) for conditional generation.
• Training: Use the Trainer API to fine-tune the model with custom training arguments.

Hence, by referring to the above, you can fine-tune a Hugging Face BART model for text summarization