How do I fine tune BERT s self attention mechanism

Question

Can you tell me How do I fine tune BERT's self attention mechanism?

Answer 1

You can fine-tune BERT's self-attention mechanism by modifying the attention weights using custom loss functions or by freezing/unfreezing specific layers during training.

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Extracts self-attention weights from BERT.
• Modifies the attention scores (e.g., scaling).
• Demonstrates how to interact with BERT’s attention mechanism for fine-tuning.

Hence, fine-tuning BERT’s self-attention enables more targeted learning by customizing attention behavior based on task-specific needs.