How can I debug gradient explosion issues in transformer models

Question

Can you tell me How can I debug gradient explosion issues in transformer models?

Answer 1

To debug gradient explosion issues in transformer models, you can use techniques like gradient clipping, monitoring gradients, and adjusting learning rates. Here is the code snippet you can refer to:

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

• Gradient Clipping: Use clip_grad_norm_() to limit the gradients' magnitude.
• Monitor Gradients: Track gradient values using torch.autograd.grad() to identify issues.
• Lower Learning Rate: Gradients can explode with high learning rates; reduce it for better stability.