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yulunzhang avatar yulunzhang commented on July 28, 2024

Hi,
Thanks for your feedback.
I also encountered such a problem when I fine-tune model. I solved it by reducing the initial learning rate and learning rate decay. Here are my used option for them: ' --lr 1e-5 --lr_decay 100 '
However, when I train models from scratch, I never encounter such a problem. BTW, when I train the whole model with Titan Xp, it uses about 7.5 Gb GPU memory and about 70s (yours is about 141s) for 100 iterations.

from rcan.

Jasas9754 avatar Jasas9754 commented on July 28, 2024

That's cool! Thank you.

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