How to monitor tensorboard logged scalar in modelcheckpoint?
If I save scalar log like this,
self.logger.experiment.add_scalars(‘loss/nll’, {‘train’: trainloss, ‘valid’: validloss})

How to monitor valid loss in Modelcheckpoint?
you need to call it with self.log instead (we automate the rest for you), so that we are aware of you logging it :)