AITeamUIT/eval-gliner2-ner-fin-lossablation

fin — loss ablation (5 config x 3 seed) base model: fastino/gliner2-multi-v1 dataset: quynong/fin (4 nhan), eval tren split test train: 8 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 77.88 +/- 4.74 41.96 +/- 8.81 88.63… See the full description on the dataset page: https://huggingface.co/datasets/AITeamUIT/eval-gliner2-ner-fin-lossablation.