whr778/gliner2-large-v1-rams

gliner2-large-v1_rams

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_rams

Training data

1 dataset used for this run. 7,329 training records (val: 924, test: 871).

Dataset	Task(s)	Train	Val	Test	Language	License	Source
RAMS	Event extraction (trigger + args)	7,329	924	871	en	see source	link

Dataset notes

• RAMS — Multi-sentence event extraction with triggers and typed arguments; 139 event types, 65 argument roles.

Training procedure

Setting	Value
Trained on	2026-07-20
Duration	32m 54s
Throughput	26.0 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
event_type	1.000 → 1.000	1.000 → 1.000	1.000 → 1.000	848
event_trigger	0.856 → 0.860	0.955 → 0.960	0.903 → 0.907	848
event_argument	0.465 → 0.732	0.424 → 0.666	0.444 → 0.697	2016
event	0.692 → 0.828	0.677 → 0.810	0.684 → 0.819	3712

Best checkpoint (validation)

Micro precision / recall / F1, strict → relaxed.

Category	Precision	Recall	F1	Support
event_type	1.000 → 1.000	0.997 → 0.997	0.998 → 0.998	896
event_trigger	0.853 → 0.861	0.927 → 0.936	0.889 → 0.897	896
event_argument	0.445 → 0.711	0.398 → 0.636	0.420 → 0.671	2182
event	0.679 → 0.817	0.652 → 0.785	0.665 → 0.801	3974

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

• RAMS (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 (2026-07-20).