gliner2-multi-v1_wikiann

A GLiNER2 multi-task information-extraction model (entities, relations, events, and classification) fine-tuned from fastino/gliner2-multi-v1.

⚠️ License at a glance

  • Effective license: Unverified β€” review required
  • Commercial use: Unverified
  • All dataset licenses verified: No

See License for the full determination and per-dataset terms.

Model details

  • Base model: fastino/gliner2-multi-v1
  • Library: gliner2
  • Tasks: entity, relation, event, and classification extraction
  • Experiment: gliner2-multi-v1_wikiann

Training data

1 dataset used for this run.

Dataset Task(s) Language License Source
WikiANN (PAN-X) NER (176 languages, PER/ORG/LOC) en, de, es, fr, ru, ar, zh, hi, sw, yo see card link

Dataset notes

  • WikiANN (PAN-X) β€” Silver-standard Wikipedia NER over 176 languages (Pan et al. 2017; Rahimi et al. 2019 balanced splits); PER/ORG/LOC mapped to person/organization/location. Streamed at train time via data.hf_streaming, never written to disk; the trained language subset is set per run and shown above.

Training procedure

Setting Value
Trained on 2026-08-02
Duration β€”
Epochs 1
Batch size 16 (Γ— 2 grad-accum)
Encoder LR 1e-05
Task-head LR 0.0003
Weight decay 0.01
Scheduler cosine_restarts (warmup 0.05)
Precision bf16
Max grad norm 1.0
Best-checkpoint metric eval_entity_strict_micro_f1
Seed 42

Evaluation

Decision threshold: 0.5 (config default).

Blind test (held-out test splits)

Micro precision / recall / F1, strict β†’ relaxed.

Category Precision Recall F1 Support
entity 0.941 β†’ 0.970 0.870 β†’ 0.896 0.904 β†’ 0.932 11112

Best checkpoint (validation)

Micro precision / recall / F1, strict β†’ relaxed.

Category Precision Recall F1 Support
entity 0.937 β†’ 0.967 0.864 β†’ 0.892 0.899 β†’ 0.928 11165

License

Effective license: Unverified β€” review required. This model is a derivative of its base model and every training dataset, so the most restrictive term across all of them governs the whole model.

  • Commercial use: Unverified
  • Share-alike obligation: No
  • All licenses verified: No
  • Base model: gliner2-multi-v1 β€” see model card

Unverified β€” verify the upstream terms before redistribution

  • WikiANN (PAN-X) (see card)
  • gliner2-multi-v1 (see model card)

License strings are copied verbatim from each dataset's card/source and from tools/train/dataset_registry.yaml. "see card"/"see source"/"other" mean the upstream declares no clear license β€” treat as unverified. This summary is informational, not legal advice; confirm terms before redistribution or commercial use.

Citation

If you use this model, please cite GLiNER2 and the underlying datasets (linked in Training data).


Model card generated automatically at the end of training (2026-08-02).

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