Stop training when a monitored quantity has stopped improving.
callback_early_stopping(monitor = "val_loss", min_delta = 0, patience = 0, verbose = 0, mode = c("auto", "min", "max"), baseline = NULL)
quantity to be monitored.
minimum change in the monitored quantity to qualify as an improvement, i.e. an absolute change of less than min_delta, will count as no improvement.
number of epochs with no improvement after which training will be stopped.
verbosity mode, 0 or 1.
one of "auto", "min", "max". In
Baseline value for the monitored quantity to reach. Training will stop if the model doesn't show improvement over the baseline.