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AITeamUIT/eval-gliner2-ner-mit_restaurant-lossablation

mit_restaurant — loss ablation (5 config x 3 seed) 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.

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mit_restaurant — loss ablation (5 config x 3 seed)

  • —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)

modeconfign seedsmicro F1macro F1micro Pmicro R
lenientbce388.69 +/- 0.2087.90 +/- 0.1791.3586.17
lenientfocal369.08 +/- 7.3764.26 +/- 9.7097.0254.03
lenienteiou389.31 +/- 0.1388.48 +/- 0.0489.0289.6
lenientfocal_eiou387.50 +/- 1.1386.65 +/- 1.4692.2383.25
lenientmargin388.46 +/- 0.5987.42 +/- 1.0191.3985.72
strictbce382.73 +/- 0.2681.90 +/- 0.1085.2280.39
strictfocal366.97 +/- 7.1762.27 +/- 9.3394.0652.37
stricteiou382.73 +/- 0.0381.99 +/- 0.1682.4683.0
strictfocal_eiou381.96 +/- 1.0980.98 +/- 1.3986.3977.99
strictmargin382.33 +/- 0.4281.22 +/- 0.7885.0779.78

Checkpoint tung run

generated 2026-08-20T07:43:19