You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
where trn_steps is equal to steps_per_epoch in model.fit_generator.
Now, my observation is that during the first epoch CLR goes through 10 cycles (as planned), but then lr stays constant throughout the remaining epochs. How do I properly reset the lr cycle? I tried scale_mode='cycle' as well, but no luck. What am I doing wrong?
The text was updated successfully, but these errors were encountered:
Dear @bckenstler ,
recently I stumbled across an issue with CLR calling from keras 2.1.5:
I ran using
CyclicLR(base_lr=1e-5, max_lr=8e-4, mode='triangular2', step_size=trn_steps//10, scale_mode='iterations')
where
trn_steps
is equal tosteps_per_epoch
inmodel.fit_generator
.Now, my observation is that during the first epoch CLR goes through 10 cycles (as planned), but then lr stays constant throughout the remaining epochs. How do I properly reset the lr cycle? I tried
scale_mode='cycle'
as well, but no luck. What am I doing wrong?The text was updated successfully, but these errors were encountered: