Fig. 1

The plot on the left shows an inflection point where the validation error starts to increase as the training rate continues to decrease. The increased training has caused the model to overfit to the training data and perform poorly on the testing set relative to the training set. In contrast, the plot on the right shows a model with the desired relationship between training and testing error