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Hi! I am trying to train a reward model, and I am confused why in the initial iterations of training the gradients are not changing and neither the loss is changing. Only after some steps does it suddenly change and then learning is completed.
Following is the attached learning dynamics.
The text was updated successfully, but these errors were encountered:
This is a very interesting discovery, and I believe it may be related to the learning rate schedule and warm-up settings, although there could be other factors worth exploring.
Hi! I am trying to train a reward model, and I am confused why in the initial iterations of training the gradients are not changing and neither the loss is changing. Only after some steps does it suddenly change and then learning is completed.
Following is the attached learning dynamics.
The text was updated successfully, but these errors were encountered: