Why when training ML models do we not take the model with the highest accuracy

Question

Its pretty common for an ML model to lose accuracy at various points during training. But presumably that means they are worse so why do we take the last version instead of the one that had the highest accuracy?

In: 1

Answer 1

Q:what’s an ML model? Initialisms make it hard to google correctly.