What’s the recommended way to monitor my metrics when training with fit()?

Loss values and metric values are reported via the default progress bar displayed by calls to fit(). However, staring at changing ascii numbers in a console is not an optimal metric-monitoring experience. We recommend the use of TensorBoard, which will display nice-looking graphs of your training and validation metrics, regularly updated during training, which you can access from your browser.

You can use TensorBoard with fit() via the TensorBoard callback.