Comments (3)
Yes, get_scheduler and get_optimizer are just wrappers, you can set the scheduler to none and run SGD for a constant rate. Quickly pushed something to let you pick the scheduler and optimizer in the command line, run --scheduler constant
and there should be no scheduler used.
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Works perfect
Thank you.
Another questios...
It is unclear for me the reduction size of the learning rate when not constant.
I know it starts at 0.1, but how big is it after the reductions?
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Depends on the scheduler and the configuration. Normally, it reduces the rate to 10% of the previous one. So 0.1 goes to 0.01, then 0.001 etc...
We mostly rely on standard functionality defined here:
https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
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