A research team is deciding between two pre-trained language models for a complex text classification task. Model A has 12 transformer layers, a hidden size of 768, and 12 attention heads. Model B has 24 transformer layers, a hidden size of 1,024, and 16 attention heads. What is the most critical trade-off the team must evaluate when considering Model B over Model A?

Match each hyperparameter of the BERT-large model to its correct value.

The BERT-large model, which has a total of 340 million parameters, is built using 24 Transformer layers and a hidden size of 1,024. This architecture utilizes ____ attention heads in each layer.