Hello! I am a bit confused about using torch.optim.lr_scheduler.CyclicLR. I see that by default it has 2000 steps up and 2000 down. This means (if i understand it right), that for this built-in case I need 4000 iterations in my code. So if I have more or less then that, I have to adjust the numbers by hand, such that the sum of steps up + steps down = number of iterations, right? Also, what happens if I keep it like this but I have more than 4000 iterations, do I get an error or the rest of the code is ran with the final value of the LR i.e. the smallest one. Then, I know that in the paper that introduced the cyclical LR, after the down step, the LR was going even further down by few order of magnitude, for something like 10% of the total number of iterations. How can I set this parameter? I see no parameter for this percentage? Thank you!