ai-forever / ai-forever/ner-bert
should we calculate F1-score with micro-average or macro-average?
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Description
In the jupyter notebook "conll2003 BERTBiLSTMCRF" in the "examples" folder, the result report is as follow:
I notice you put macro-avg "0.9221" in the "README.md" file, but it seems like that the code at "https://paperswithcode.com/sota/named-entity-recognition-ner-on-conll-2003" adopt the micro-avg value as the final F1-value.
I would appreciate it very much if you can tell me why, thanks.
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