An AI development team has pre-trained two large language models. Model A was trained on a massive, diverse dataset from the general web and achieved a final test loss of 1.7. Model B was trained on a smaller, more specialized dataset of financial reports and legal documents, resulting in a higher final test loss of 2.1. A project manager, focusing solely on these loss metrics, insists that Model A should be chosen for a new task involving the classification of financial contracts. As the lead engineer, critique the project manager's reasoning and justify a more comprehensive evaluation strategy before making a final decision.