What are some common learning rate values used in machine learning?

What are some common learning rate values used in machine learning?

Common learning rate values typically range from 0.001 to 0.1. However, the best value can depend on the specific model and dataset.

How do I choose the right learning rate for my model?

You can start with a common value like 0.01 and then use techniques like learning rate scheduling or grid search to find the optimal rate.

What happens if the learning rate is too high?

If the learning rate is too high, the model may converge too quickly to a suboptimal solution or even diverge, leading to poor performance.

And what if it's too low?

A learning rate that is too low can result in a very slow convergence, making the training process inefficient and time-consuming.