How can I monitor my PyTorch model during training?

How can I monitor my PyTorch model during training?

You can use tools like TensorBoard or Weights & Biases to visualize metrics such as loss and accuracy.

What specific metrics should I track while training?

It's important to track metrics like training loss, validation loss, accuracy, and learning rate.

Can I set up alerts for when my model's performance drops?

Yes, many monitoring tools allow you to set up alerts based on specific thresholds for your metrics.

Are there any best practices for logging during training?

Best practices include logging at regular intervals, using structured formats, and keeping track of hyperparameters.