What are common learning rate schedulers in machine learning?

What are common learning rate schedulers in machine learning?

Common learning rate schedulers include StepLR, ExponentialLR, and ReduceLROnPlateau. They adjust the learning rate during training.

Can you explain how StepLR works?

StepLR reduces the learning rate by a factor every few epochs, which helps in fine-tuning the model as it converges.

What about ExponentialLR?

ExponentialLR decreases the learning rate exponentially after each epoch, which can help in achieving better convergence.

When should I use ReduceLROnPlateau?

Use ReduceLROnPlateau when the model's performance plateaus; it reduces the learning rate when a metric stops improving.