Why are these logs displayed awkwardly in Jupyter Notebook #11348
JivanRoquet
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working fine for me.. although tqdm can sometimes cause rendering issues. I'd suggest trying https://pytorch-lightning.readthedocs.io/en/latest/extensions/generated/pytorch_lightning.callbacks.RichProgressBar.html#richprogressbar for better rendering. |
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When running
trainer.fit(model)
in a Jupyter Notebook, the logs are printed the following way:Based on the same logs, I'm guessing the "proper" way they should be displayed would be more like this:
The training/validation steps from the model I'm using are declared like the following:
I've tried different combinations of the code above, but could not get rid of the log duplications when an epoch starts/ends.
Is there anything I'm doing wrong here? How to get to an output which is closer to the "proper" version shown above?
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