What learning rate should be used to fine-tune T5-large and T5-3B?

[chen-yifu]

Hi,
From a previous discussion #16 it was said that a learning rate of 0.001 was used. When I tried both 0.001 and 0.0001, it seemed that the latter gave a lower loss. I'm wondering if this means I should use a LR of 0.0001 instead?
Thank you!
Charles

[danyaljj]

For LR (and many other hyperparameters) we used the default choices which are accessible as part of the T5 models.

Within this file, you can see that it defines a schedule for learning rates:

# Parameters for learning_rate_schedule_noam:
# ==============================================================================
learning_rate_schedule_noam.linear_decay_fraction = 0.1
learning_rate_schedule_noam.multiplier = 1.0
learning_rate_schedule_noam.offset = 0
learning_rate_schedule_noam.warmup_steps = 10000