What is the monitor of lr_scheduler?

[Co1lin]

Hi! I’m wondering what is metric_to_track for the parameter monitor of a learning rate scheduler? I see the example that uses "val_loss" as its value, but I don’t know is val_loss a name of a variable (where should I declare this variable?) or a keyword that can be recognized by pytorch_lightning such that it will monitor the loss of the validation_step?

[talhaanwarch]

I think its the one you define in self.log('val_loss ',loss, on_step=.., on_epoch=..,prog_bar=..)

[Co1lin]

I think so. But I get a warning saying:

packages/pytorch_lightning/callbacks/model_checkpoint.py:610: LightningDeprecationWarning: Relying on `self.log('val_loss', ...)` to set the ModelCheckpoint monitor is deprecated in v1.2 and will be removed in v1.4. Please, create your own `mc = ModelCheckpoint(monitor='your_monitor')` and use it as `Trainer(callbacks=[mc])`.

I'm not sure whether this usage will be deprecated for scheduler's monitor too.

[talhaanwarch]

can you share your code snippet?

[ethanwharris]

This is a duplicate of #8554 so locking this discussion here.