What does the term "overfitting" refer to in the context of training neural networks?

Group of answer choices

When the model performs well on training data but poorly on unseen validation data.

When the model is unable to learn from the training data at all.

When the model achieves high accuracy on both training and validation data.

When the training process takes too long due to excessive epochs.