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Right now, the formatting function only allows selecting from metrics that were logged.
I would like to use metrics from trainer.callback_metrics as well. The reason I can't use logged metrics is that my scalar name contains a forward slash to utilize Tensorboard's grouping, and it would mess up the formatting function.
Pitch
Like what I said at the start.
Alternatives
Or perhaps we can adjust format_checkpoint_name() to handle forward slashes in metrics' names, but I guess that would be a little bit more tricky.
The text was updated successfully, but these errors were encountered:
🚀 Feature
Let users use
checkpoint_on
andval_checkpoint_on
in the checkpoint's filepath when initializing aModelCheckpoint
like this:Motivation
Right now, the formatting function only allows selecting from metrics that were logged.
I would like to use metrics from
trainer.callback_metrics
as well. The reason I can't use logged metrics is that my scalar name contains a forward slash to utilize Tensorboard's grouping, and it would mess up the formatting function.Pitch
Like what I said at the start.
Alternatives
Or perhaps we can adjust
format_checkpoint_name()
to handle forward slashes in metrics' names, but I guess that would be a little bit more tricky.The text was updated successfully, but these errors were encountered: