whr778/gliner2-large-v1-casie

gliner2-large-v1_casie

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_casie

Training data

1 dataset used for this run. 798 training records (val: 95, test: 107).

Dataset	Task(s)	Train	Val	Test	Language	License	Source
CASIE	Event extraction (cybersecurity)	798	95	107	en	see source	link

Dataset notes

• CASIE — Cybersecurity event extraction co-trained with typed entity mentions; 5 event types, 26 argument roles.

Training procedure

Setting	Value
Trained on	2026-07-19
Duration	25m 12s
Throughput	13.8 samples/s
Epochs	15
Batch size	4 (× 8 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_event_strict_micro_f1
Seed	42

Evaluation

Decision threshold: 0.5 (config default).

Blind test (held-out test splits)

Micro precision / recall / F1, strict → relaxed.

Category	Precision	Recall	F1	Support
entity	0.530 → 0.656	0.667 → 0.825	0.591 → 0.731	2136
event_type	1.000 → 1.000	0.951 → 0.951	0.975 → 0.975	185
event_trigger	0.711 → 0.836	0.370 → 0.436	0.487 → 0.573	856
event_argument	0.242 → 0.802	0.134 → 0.418	0.173 → 0.549	2413
event	0.417 → 0.830	0.237 → 0.453	0.302 → 0.586	3454

Best checkpoint (validation)

Micro precision / recall / F1, strict → relaxed.

Category	Precision	Recall	F1	Support
entity	0.605 → 0.736	0.641 → 0.779	0.623 → 0.757	2630
event_type	1.000 → 1.000	0.885 → 0.885	0.939 → 0.939	296
event_trigger	0.776 → 0.902	0.385 → 0.447	0.514 → 0.598	1006
event_argument	0.334 → 0.837	0.171 → 0.416	0.226 → 0.556	2706
event	0.518 → 0.875	0.277 → 0.461	0.361 → 0.604	4008

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

• CASIE (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).

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Model card generated automatically at the end of training (2026-07-19).