A machine learning engineer is adapting a large, pre-trained language model for a highly specialized task using a small dataset. They choose an aggressive training strategy that results in substantial changes to the model's parameters from their initial, pre-trained values. Which of the following outcomes represents the most significant risk of this approach?

Diagnosing Fine-Tuning Performance Degradation

Critiquing a Fine-Tuning Strategy