Choosing the learning rate
See original GitHub issueHello @KichangKim !
I have a question about learning rate values used for trainig, especially for v3. As far as I understand the code
"learning_rates": [
{
"used_epoch": 0,
"learning_rate": 5.0
}
]
# Udpate learning rate
for learning_rate_per_epoch in learning_rates:
if learning_rate_per_epoch['used_epoch'] <= int(used_epoch):
learning_rate = learning_rate_per_epoch['learning_rate']
you set learning rate to 5.0 during the first epoch and don’t change it anymore.
Do I understand it correclty? If yes, what is the reason for using such a high learning rate? Most of the ResNets I’ve seen were trained with lr=0.01 or lower.
Issue Analytics
- State:
- Created 2 years ago
- Comments:11 (3 by maintainers)
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Top GitHub Comments
DeepDanbooru is a great project, be sure that reference is in your pocket already!
And thanks for the help.
I use v3.
I made a custom tag list made only of tags from my database.
Could you drop me an email to yozhikoff [at] protonmail.com? Would be easier to share code there.