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.