model.fit
.WandbCallback
WandbCallback
class supports a wide variety of logging configuration options: specifying a metric to monitor
, tracking of weights
and gradients
, logging of predictions
on training_data
and validation_data
, and more.Keras
multiprocessing with wandb
?use_multiprocessing=True
and seeing an error like:Sequence
class construction, add: wandb.init(group='...')
if __name__ == "__main__":
and then put the rest of your script logic inside that.