What are the limitations of transfer learning in NLP?

What are the limitations of transfer learning in NLP?

Transfer learning in NLP can be limited by factors like domain mismatch, data quality, and model size.

Can you explain what domain mismatch means?

Domain mismatch occurs when the source and target datasets differ significantly, affecting model performance.

How does data quality impact transfer learning?

Poor data quality can lead to biased models and inaccurate predictions, undermining the benefits of transfer learning.

Are there specific tasks where transfer learning is less effective?

Yes, tasks with very specialized vocabularies or unique contexts may not benefit much from transfer learning.