Hi,
If I need to modify the scheme of my optimizer in an irregular way, how could I do it ?
For example, I have an adam optimizer, and I need it to keep working with its default parameters before the 1000th iteration, then I need to change beta1 to 0.3 and in the following training process, I need its learning rate to decay with the ratio of 0.9999. How could I do it with pytorch ?