A validation metric is checked periodically, usually with a patience interval to avoid reacting to noise. The best checkpoint is retained to limit overfitting and unnecessary computation.
Early stopping ends training when performance on held-out data stops improving.
A validation metric is checked periodically, usually with a patience interval to avoid reacting to noise. The best checkpoint is retained to limit overfitting and unnecessary computation.