AITeamUIT/eval-gliner2-ner-classweight-3seed

Class-weighted loss — 3 seed x 4 dataset train: --loss-class-weight tren fastino/gliner2-multi-v1, batch 16, patience 2, seeds [42, 43, 44] eval : --threshold 0.7 --use-desc --schema-case original --no-extra-val (giong loss ablation) dataset epochs eval split strict macro F1 lenient micro F1 conll2003 6 test 86.06 +/- 0.95 89.31 +/- 0.95 ontonotes5 3 test 77.47 +/- 0.51 90.30 +/- 0.06 fin 8 test 38.15 +/- 2.40 75.92 +/- 1.36 mit_restaurant 6 test 81.55 +/-… See the full description on the dataset page: https://huggingface.co/datasets/AITeamUIT/eval-gliner2-ner-classweight-3seed.