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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.

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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)

modeconfign seedsmicro F1macro F1micro Pmicro R
lenientbce377.88 +/- 4.7441.96 +/- 8.8188.6369.95
lenientfocal379.45 +/- 2.2642.84 +/- 14.8992.8369.53
lenienteiou381.25 +/- 0.9751.73 +/- 2.8082.5480.11
lenientfocal_eiou379.21 +/- 1.7443.80 +/- 4.2386.6573.23
lenientmargin380.56 +/- 4.5553.67 +/- 15.1188.1774.6
strictbce373.51 +/- 4.4738.34 +/- 7.1283.6666.03
strictfocal375.95 +/- 2.1140.56 +/- 13.9688.7466.46
stricteiou374.26 +/- 1.3944.46 +/- 2.9775.4373.23
strictfocal_eiou374.89 +/- 0.6239.13 +/- 3.2081.9769.21
strictmargin375.68 +/- 3.6548.38 +/- 13.4682.8570.05

Checkpoint tung run

generated 2026-08-20T17:03:36