How to get the best model when using EarlyStopping callback in Keras?

Question

I am training a neural network with Keras using EarlyStopping based on val_acc and patience=0. EarlyStopping stops the tr

Answer 1

In Keras 2.2.3, a new argument called restore_best_weights have been introduced for EarlyStopping callback that if set to True (defaults to False), it would restore the weights from the epoch with the best monitored quantity:

restore_best_weights: whether to restore model weights from the epoch with the best value of the monitored quantity. If False, the model weights obtained at the last step of training are used.

Answer 2

If you would like to save the highest accuracy then you should set the checkpoint monitor='val_acc' it will automatically save on highest. Lowest loss might not necessarily correspond to highest accuracy. You can also set verbose=1 to see which model is being saved and why.