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I am facing a similar problem as this. The Keras verbose floods the cell output in VSCode's Jupyter. Similar to this:

loss: 217.5794 - mean_absolute_error: 11.166 - ETA: 32:42 - loss: 216.9500 - mean_absolute_error: 11.165 - ETA: 32:21 - loss: 216.6378 - mean_absolute_error: 11.164 - ETA: 32:00 - loss: 216.0345 - mean_absolute_error: 11.164 - ETA: 31:41 - loss: 215.6621 - mean_absolute_error: 11.166

Fariborz Ghavamian
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1 Answers1

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I had a similar issue, This has to do with tqdm version adopted by Keras.

As stated here, Keras Model.fit Verbose Formatting

use TqdmCallback with verbose=2 for a cleaner output. The above link resolved my problem.

Sanjay C
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