Metrics	Details	Reference
Classification metrics	Classification metrics (precision, recall, accuracy, F1 score, etc.) at entity level or model level.	Link
InterpretEval	The main idea is to divide the data into buckets of entities based on attributes such as entity length, label consistency, entity density, sentence length, etc., and then evaluate the model on each of these buckets separately.	Code, Article