bert-norne

	f1 = 0.8427046263345196
	loss = 0.03901922195237588
	precision = 0.8297126839523475
	recall = 0.8561099060014461

I.e. this multilingual BERT model appears to perfrom worse on NER than jarib/spacy-nb.