How can I implement early stopping in generative models to prevent overtraining

Question

Can you tell me How can I implement early stopping in generative models to prevent overtraining?

Answer 1

To implement early stopping in generative models, you can monitor a validation metric (e.g., loss or Inception Score) and stop training if the metric stops improving for a set number of epochs.

Here is the code snippet you can refer to:

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

• Monitor Validation Loss: Track a metric (e.g., validation loss or Inception Score).
• Patience: Define how many epochs to wait for improvement before stopping.
• Stop Training: Stop training when no improvement is seen after the patience period.

Hence, this mechanism ensures that the model does not overtrain and saves computational resources.