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Currently, we support max_epochs to determine how long to train for. This breaks under an abstraction where the user wants to train for a certain number of samples (which could result in ~3.5 epochs). We should update max_epochs to be max_iters, and values can use the time abstraction to be 3ep or 3131ba (as an example).
Motivation
A user wants to train for fractions of an epoch. How do they do this? In other words, they want to train for a fixed number of steps instead of a fixed number of epochs.
The text was updated successfully, but these errors were encountered:
🚀 Feature Request
Currently, we support max_epochs to determine how long to train for. This breaks under an abstraction where the user wants to train for a certain number of samples (which could result in ~3.5 epochs). We should update max_epochs to be max_iters, and values can use the time abstraction to be
3ep
or3131ba
(as an example).Motivation
A user wants to train for fractions of an epoch. How do they do this? In other words, they want to train for a fixed number of steps instead of a fixed number of epochs.
The text was updated successfully, but these errors were encountered: