How do I debug high loss values during GAN training

Question

With the help of a proper explanation, can you tell me How to debug high-loss values during GAN training?

Answer 1

To debug high-loss values during GAN training, you can:

• Check Learning Rates: Ensure learning rates for the generator and discriminator are balanced.
• Loss Clipping: Clip gradients to prevent exploding gradients.
• Monitor Mode Collapse: Ensure the generator isn’t producing repetitive outputs.
• Discriminator Overpowering: Prevent the discriminator from becoming too strong by limiting its training steps.

Here is the code snippet you can refer to:

You can follow these debugging steps:

• Inspect Loss Trends:

  • Sudden spikes: Check for exploding gradients.
  • Discriminator loss near zero: It’s too strong.
  • Generator loss constant: It’s not learning.

• Balance Learning Rates:

  • Use similar learning rates for the generator and discriminator.
  • Adjust dynamically if one model dominates.

• Monitor Outputs:

  • Save generated samples regularly.
  • Ensure diversity in outputs to catch mode collapse.

Hence, this systematic approach helps identify and resolve issues causing high loss values during GAN training.