How to save the model after certain steps instead of epoch?
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What is your question?
I am trying to train a NN model  on a super-big tabular data(about half billion), and I am wondering if I can save the data every certain steps(a million for example) in an epoch instead of every epoch because it indeed spend too much times. I don't know  if it is possible in PytorchLightning framework.
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What have you tried?
What's your environment?

OS: linux
Packaging conda
Version 0.7.5