I’ve added built-in support for keras
in tqdm
so you could use it instead (pip install "tqdm>=4.41.0"
):
from tqdm.keras import TqdmCallback
...
model.fit(..., verbose=0, callbacks=[TqdmCallback(verbose=2)])
This turns off keras
‘ progress (verbose=0
), and uses tqdm
instead. For the callback, verbose=2
means separate progressbars for epochs and batches. 1
means clear batch bars when done. 0
means only show epochs (never show batch bars).
If there are problems with it please open an issue at https://github.com/tqdm/tqdm/issues