How to integrate Attention mechanism to training process with Sentence Transformers

Question

Can i know How to integrate Attention mechanism to training process with Sentence Transformers?

Answer 1

To integrate an attention mechanism into the training process with Sentence Transformers, apply self-attention on the embeddings to emphasize important contextual features before classification.

Here is the code snippet you can refer to:

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

• Uses Sentence Transformers to generate sentence embeddings.
• Implements a Self-Attention Layer to reweight important features dynamically.
• Integrates Attention into Training before the classification layer.
• Uses PyTorch-based Training Process with Adam optimizer and CrossEntropy loss.

Hence, incorporating an attention mechanism into Sentence Transformers enhances the training process by dynamically emphasizing important contextual features before classification.