epoch/step validation with MLflowLogger #19187
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kota-iizuka
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I'm trying to perform a 100 step experiment on a dataset with 1 epoch = 22 steps and logging every 10 steps by
MLFlowLogger
, but it doesn't work.The settings for the Trainer are as follows
I am using mlflow logger and the output image is as below.
Judging from the graph, it appears that even though
check_val_every_n_epoch
is set toNone
, validation is occurring at the end of each epoch and at the end oftrainer.fit()
, and the epoch number is incorrectly recorded as step.Is there a setting to resolve this? Or do I need to modify pytorch-lightning itself?
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