Keras Model.fit Verbose Formatting

Question

I\'m running Keras model.fit() in Jupyter notebook, and the output is very messy if verbose is set to 1:

    Train on 6400 samples, validate on 800 samples
    E         


        

Answer 1

You can try the Keras-adapted version of the TQDM progress bar library.

• The original TQDM library: https://github.com/tqdm/tqdm
• The Keras version of TQDM: https://github.com/bstriner/keras-tqdm

The usage instructions can be brought down to:

1. install e.g. per pip install keras-tqdm (stable) or pip install git+https://github.com/bstriner/keras-tqdm.git (for latest dev-version)

2. import the callback function with from keras_tqdm import TQDMNotebookCallback

3. run Keras' fit or fit_generator with verbose=0 or verbose=2 settings, but with a callback to the imported TQDMNotebookCallback, e.g. model.fit(X_train, Y_train, verbose=0, callbacks=[TQDMNotebookCallback()])

The result: