Comments (8)
from pytorch-gradual-warmup-lr.
Hi,how do you use ReduceLROnPlateau as the after_scheduler,when I use this as after_scheduler,the warm up in the first epoch is not change.
from pytorch-gradual-warmup-lr.
Hi,how do you use ReduceLROnPlateau as the after_scheduler,when I use this as after_scheduler,the warm up in the first epoch is not change.
https://github.com/LvJC/pytorch-gradual-warmup-lr
from pytorch-gradual-warmup-lr.
Hi,how do you use ReduceLROnPlateau as the after_scheduler,when I use this as after_scheduler,the warm up in the first epoch is not change.
Hi,I had replace this line
- warmup_lr = self.get_lr()
- warmup_lr = [base_lr * ((self.multiplier - 1.) * self.last_epoch / self.total_epoch + 1.) for base_lr in self.base_lrs]
I use the warm_up lr is 5e-5 and 1epoch, and the after_scheduler init lr is 5e-4.But When I running,I find the first epoch lr is also 5e-4,so,I think there have other error?Thanks!
from pytorch-gradual-warmup-lr.
Hi,how do you use ReduceLROnPlateau as the after_scheduler,when I use this as after_scheduler,the warm up in the first epoch is not change.
Hi,I had replace this line
warmup_lr = self.get_lr()
warmup_lr = [base_lr * ((self.multiplier - 1.) * self.last_epoch / self.total_epoch + 1.) for base_lr in self.base_lrs]
I use the warm_up lr is 5e-5 and 1epoch, and the after_scheduler init lr is 5e-4.But When I running,I find the first epoch lr is also 5e-4,so,I think there have other error?Thanks!
You can re-refer it, I updated it just now. I think the main cause is the get_last_lr
function.
from pytorch-gradual-warmup-lr.
Hi,how do you use ReduceLROnPlateau as the after_scheduler,when I use this as after_scheduler,the warm up in the first epoch is not change.
Hi,I had replace this line
- warmup_lr = self.get_lr()
- warmup_lr = [base_lr * ((self.multiplier - 1.) * self.last_epoch / self.total_epoch + 1.) for base_lr in self.base_lrs]
I use the warm_up lr is 5e-5 and 1epoch, and the after_scheduler init lr is 5e-4.But When I running,I find the first epoch lr is also 5e-4,so,I think there have other error?Thanks!You can re-refer it, I updated it just now. I think the main cause is the
get_last_lr
function.
Thanks!I will test it.
from pytorch-gradual-warmup-lr.
Hi,how do you use ReduceLROnPlateau as the after_scheduler,when I use this as after_scheduler,the warm up in the first epoch is not change.
Hi,I had replace this line
- warmup_lr = self.get_lr()
- warmup_lr = [base_lr * ((self.multiplier - 1.) * self.last_epoch / self.total_epoch + 1.) for base_lr in self.base_lrs]
I use the warm_up lr is 5e-5 and 1epoch, and the after_scheduler init lr is 5e-4.But When I running,I find the first epoch lr is also 5e-4,so,I think there have other error?Thanks!You can re-refer it, I updated it just now. I think the main cause is the
get_last_lr
function.
Hi,I test this methods,but this has same problem,the first epochs lr is also 5e-4.But,when I change the after_scheduler to cosin_scheduler,the running is right.
from pytorch-gradual-warmup-lr.
Hi there! Still do not work with ReduceLROnPlateau
from pytorch-gradual-warmup-lr.
Related Issues (18)
- why i got this error, when the warmup epoches ends. HOT 3
- when i use your readme code ,it has a bug???? HOT 1
- LR not work when pytorch version under 1.2.0
- StepLR and Cos has no funcion like ".get_last_lr()" HOT 1
- What is the meaning of base_lrs? HOT 1
- Math is wrong for multiplier=1 HOT 1
- When to call scheduler.step? HOT 1
- Set Starting learning rate HOT 1
- multiplier works weird HOT 2
- Target optimizer not set properly when loading from state dict
- WARNING: Did not find branch or tag '08f7d5e', assuming revision or ref
- Question of run.py
- Usage mandatory metric HOT 5
- why multiplier must be greater than 1.0? HOT 1
- It seems you got one learning rate per epoch. HOT 2
- the initial lr value is higher than target lr value HOT 2
- optimizer.step() and lr_scheduler.step() HOT 3
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from pytorch-gradual-warmup-lr.