A data scientist is training a deep neural network for a text classification task using a SageMaker training job. They plot the training and validation loss curves per epoch and observe that the training loss continues to decrease steadily across all 50 epochs, while the validation loss decreases for the first 12 epochs and then begins to rise steadily afterward. What is the most accurate interpretation of this behavior, and what should the team do?