@<1523701205467926528:profile|AgitatedDove14> yeah, just checked my code and here's a snippet which uses EarlyStopping :

        history = regressor.fit(
            x=train_generator,
            validation_data=test_generator,
            epochs=epochs,
            callbacks=[
                board,
                LearningRateScheduler(scheduler),
                EarlyStopping(monitor="loss", patience=20, restore_best_weights=True),
            ],
        )

But does it mean it will abort the whole experiment? Its a problem since we are fitting multiple models in a single experiment.