Automated Fact-Checking for Customer Support

A machine learning engineer is fine-tuning a transformer-based model to determine if a given answer is a valid response to a specific question. The model has been pre-trained and uses special tokens for classification tasks. Which of the following input formats should the engineer use to correctly structure the data for this task?

A language model is fine-tuned for a task where it must determine if a given answer is a valid response to a question. The model is trained on a large dataset of direct question-answer pairs (e.g., Q: 'Who wrote Hamlet?', A: 'William Shakespeare'). When tested, the model correctly identifies direct answers but incorrectly classifies the following pair as a 'poor match':

• Question: 'What is the primary cause of tides?'
• Answer: 'The primary cause of tides is not wind patterns.'

What is the most likely reason for this misclassification?