Optimization of bert-score measurement speed

num_layers

It has been confirmed that the more num_layers there are, the deeper the understanding of semantics, but the more time it takes.

tokens

The dataset is split into different numbers of evaluation tasks based on tokens of varying lengths. The more tokens a single task has, the fewer the total number of tasks, and the fewer the evaluation runs. Will the overall speed increase?