I am training my model using
!python -m prodigy train --ner tweetsdb
and getting the attached results:
My question is:
How do i intepret the results given that I have 2 NER labels. My classess are not balanced and I am worried that my model could be correctly identifying the entity with the highest number of examples but not the other...