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whr778/gliner2-large-v1-wikievents

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
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Model Card

gliner2-large-v1_wikievents

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

⚠️ License at a glance

  • —Effective license: Unverified — 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-large-v1`
  • —Library: gliner2
  • —Tasks: entity, relation, event, and classification extraction
  • —Experiment: gliner2-large-v1_wikievents

Training data

1 dataset used for this run. 206 training records (val: 20, test: 20).

DatasetTask(s)TrainValTestLanguageLicenseSource
WikiEventsNER + event extraction2062020ensee sourcelink

Dataset notes

  • —WikiEvents — KAIROS-ontology event extraction co-trained with typed entity mentions; 49 event types, 57 argument roles.

Training procedure

SettingValue
Trained on2026-07-20
Duration12m 8s
Throughput10.3 samples/s
Epochs15
Batch size4 (× 8 grad-accum)
Encoder LR1e-05
Task-head LR0.0003
Weight decay0.01
Schedulercosine_restarts (warmup 0.05)
Precisionbf16
Max grad norm1.0
Best-checkpoint metricevaleventstrictmicrof1
Seed42

Evaluation

Decision threshold: 0.5 (config default).

Blind test (held-out test splits)

Micro precision / recall / F1, strict → relaxed.

CategoryPrecisionRecallF1Support
entity0.767 → 0.8030.818 → 0.8570.792 → 0.8291602
event_type1.000 → 1.0000.926 → 0.9260.962 → 0.962122
event_trigger0.499 → 0.5100.703 → 0.7200.583 → 0.597239
event_argument0.114 → 0.4550.124 → 0.4790.119 → 0.467515
event0.342 → 0.5390.394 → 0.6130.366 → 0.574876

Best checkpoint (validation)

Micro precision / recall / F1, strict → relaxed.

CategoryPrecisionRecallF1Support
entity0.736 → 0.7890.738 → 0.7920.737 → 0.7902519
event_type1.000 → 1.0000.717 → 0.7170.835 → 0.835276
event_trigger0.777 → 0.8010.487 → 0.5020.599 → 0.617464
event_argument0.270 → 0.6440.156 → 0.3930.198 → 0.488621
event0.614 → 0.7820.383 → 0.5000.472 → 0.6101361

License

Effective license: Unverified — 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-large-v1 — see model card

Unverified — verify the upstream terms before redistribution

  • —WikiEvents (see source)
  • —gliner2-large-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 — 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 (2026-07-20).