AITeamUIT/

eval-gliner2-ner-mit_restaurant-lossablation

base model: fastino/gliner2-multi-v1 dataset: quynong/mit_restaurant (8 nhan), eval tren split test train: 6 epochs, batch 16, early-stopping patience 2, seeds [42, 43, 44] eval: --threshold 0.7 --use-desc --schema-case original --no-extra-val (giong nhau cho ca 5 config)

	Ket qua (micro F1 %, mean +/- std tren seed)




	

mode config n seeds micro F1 macro F1 micro P micro R

lenient bce 3 88.69 +/- 0.20… See the full description on the dataset page: https://huggingface.co/datasets/AITeamUIT/eval-gliner2-ner-mit_restaurant-lossablation.