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whr778/gliner2-base-v1-synthetic

sourceHugging Faceotherupdated 2mo agoView on Hugging Face

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Model Card

## ✅ Sanity-check checkpoint (private) Fine-tune of `fastino/gliner2-base-v1` on our multi-task synthetic corpus (synthetic_sonnet5_1k) only, to check whether our synthetic data trains cleanly across all five GLiNER2 tasks. It does — blind test on the synthetic held-out split (in-distribution): | Task | Strict F1 | Relaxed F1 | Support | |---|--:|--:|--:| | Entity | 0.904 | 0.933 | 6,010 | | Relation | 0.657 | 0.745 | 1,512 | | Event type | 0.956 | — | 809 | | Event trigger | 0.838 | — | 881 | | Event argument | 0.702 | 0.894 | 2,954 | | Classification | 0.835 | 0.841 | 762 | These are on the synthetic test split (in-distribution): they show the data is coherent and learnable, not a claim about the original public benchmarks. Warm-started (frompretrained), 10 epochs, `evalloss` selection (best = epoch 7). Experimental; kept for reproducibility.

gliner2basev1_synthetic

A GLiNER2 multi-task information-extraction model (entities, relations, events, and classification) fine-tuned from fastino/gliner2-base-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-base-v1`
—Library: gliner2
—Tasks: entity, relation, event, and classification extraction
—Experiment: gliner2_base_v1_synthetic

Training data

1 dataset used for this run. 1,497 training records (val: 191, test: 194).

Dataset	Task(s)	Train	Val	Test	Language	License	Source
⚠️ `synthetic_sonnet5_1k`	unknown	—	—	—	—	UNKNOWN — not in registry	—

Training procedure

Setting	Value
Trained on	2026-08-03
Duration	32m 55s
Throughput	7.4 samples/s
Epochs	10
Batch size	8 (× 4 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_loss
Seed	42

Evaluation

Decision threshold: 0.7 (calibrated against the validation set).

Blind test (held-out test splits)

Micro precision / recall / F1, strict → relaxed.

Category	Precision	Recall	F1	Support
entity	0.914 → 0.943	0.894 → 0.923	0.904 → 0.933	6010
relation	0.790 → 0.895	0.563 → 0.638	0.657 → 0.745	1512
classification	0.964 → 0.971	0.736 → 0.741	0.835 → 0.841	762
event_type	1.000 → 1.000	0.916 → 0.916	0.956 → 0.956	809
event_trigger	0.847 → 0.866	0.830 → 0.848	0.838 → 0.857	881
event_argument	0.737 → 0.940	0.670 → 0.851	0.702 → 0.893	2954
event	0.805 → 0.935	0.743 → 0.862	0.773 → 0.897	4644

Best checkpoint (validation)

Micro precision / recall / F1, strict → relaxed.

Category	Precision	Recall	F1	Support
entity	0.886 → 0.917	0.919 → 0.952	0.902 → 0.934	5900
relation	0.716 → 0.837	0.604 → 0.706	0.655 → 0.766	1571
classification	0.953 → 0.960	0.713 → 0.718	0.816 → 0.822	766
event_type	1.000 → 1.000	0.962 → 0.962	0.981 → 0.981	799
event_trigger	0.796 → 0.807	0.875 → 0.888	0.834 → 0.845	881
event_argument	0.649 → 0.893	0.666 → 0.911	0.657 → 0.902	3022
event	0.734 → 0.893	0.755 → 0.915	0.745 → 0.904	4702

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-base-v1 — see model card

Unverified — verify the upstream terms before redistribution

—gliner2-base-v1 (see model card)
—syntheticsonnet51k (unknown) (unspecified)

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 (2026-08-03).