Why does BART s generated summary look incomplete after fine-tuning on custom data

Question

With the help of Python code, can you explain why BART’s generated summary looks incomplete after fine-tuning custom data?

Answer 1

BART's generated summaries may look incomplete after fine-tuning due to improper configuration of the decoding parameters (e.g., max_length, min_length, or early_stopping). Additionally, it may result from insufficient training or issues in the custom dataset.

• Adjust Decoding Parameters:
• Here is the code reference showing how:
• Fine-Tuning Improvements:
  • Ensure the training data is well-prepared with high-quality summaries.
  • Fine-tune for sufficient epochs with a learning rate schedule.

Hence, by refining decoding parameters and fine-tuning techniques, you can improve the completeness of BART's summaries.