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conll2003
quynong/conll2003
4
[ "PER", "ORG", "LOC", "MISC" ]
test
[ "corenlp", "deberta-v3-base", "distilbert-base-cased" ]
[ 42, 43, 44 ]
5
16
null
null
{ "deberta-v3-base-seed42": { "status": "ok", "name": "deberta-v3-base", "seed": 42, "repo": "AITeamUIT/baseline-deberta-v3-base-conll2003-seed42", "summary": { "micro_precision": 0.9267, "micro_recall": 0.9423, "micro_f1": 0.9344, "macro_precision": 0.908, "macro_rec...
[ { "baseline": "corenlp", "n": 0, "micro_f1_mean": 86.68, "micro_f1_std": null, "macro_f1_mean": 85.89, "macro_f1_std": null, "micro_p_mean": 87.4, "micro_r_mean": 85.98, "micro_f1": "86.68", "macro_f1": "85.89" }, { "baseline": "deberta-v3-base", "n": 3, "micr...
2026-08-24T18:40:34

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Check out the documentation for more information.

conll2003 — NER baselines (Stanford CoreNLP CRF, DeBERTa-v3-base, DistilBERT-base)

  • dataset: quynong/conll2003 (4 nhan), eval tren split test
  • HF baselines: 5 epochs, batch 16, seeds [42, 43, 44]
  • corenlp: 1 lan train (CRF deterministic, khong seed)

Ket qua (P/R/F1 %, HungarianEvaluator IoU>=0.5 hoac fuzzy)

baseline n micro F1 macro F1 micro P micro R
corenlp 0 86.68 85.89 87.4 85.98
deberta-v3-base 3 93.35 +/- 0.08 92.04 +/- 0.03 92.54 94.17
distilbert-base-cased 3 90.89 +/- 0.30 89.37 +/- 0.44 90.11 91.69

Checkpoint tung run

generated 2026-08-24T18:40:34

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