gliner2_datause_smoke

rafmacalaba/gliner2_datause_smoke

gliner2_datause_smoke is a token classification model from rafmacalaba. Use it when you need labels on individual words, such as names. It is set up for gliner2. The card lists the license as apache-2.0.

Fine-tune of fastino/gliner2-large-v1 (GLiNER2) for data-use mention extraction (dataset / survey / census / registry mentions in economics research papers).

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At a glance

Task: Token Classification
Library: gliner2
License: apache-2.0
Model type: extractor
Access: Public
Created: Aug 15, 2026
Updated: Aug 15, 2026
SHA: 0f45bafd

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Model card

From the Hugging Face model README

gliner2_datause_smoke

Fine-tune of fastino/gliner2-large-v1 (GLiNER2) for data-use mention extraction (dataset / survey / census / registry mentions in economics research papers).

Labels

NAMED_DATA — a proper name, title, or acronym of a specific data source
DESCRIPTIVE_DATA — a source described in words but not named
VAGUE_DATA — generic data wording with no identifiable source

Training

base model: fastino/gliner2-large-v1
dataset: rafmacalaba/data-use-mentions (gliner2 config)
epochs: 1
encoder LR: 1e-05
task LR: 0.0005
batch size: 16
precision: bf16

Evaluation (holdout, label-agnostic)

thr	tp	fp	fn	precision	recall	f0.5	f1
0.10	59	103	32	0.3642	0.6484	0.3992	0.4664
0.20	46	61	45	0.4299	0.5055	0.4432	0.4646
0.30	40	41	51	0.4938	0.4396	0.4819	0.4651
0.40	29	29	62	0.5000	0.3187	0.4489	0.3893
0.50	21	18	70	0.5385	0.2308	0.4251	0.3231
0.60	14	13	77	0.5185	0.1538	0.3518	0.2373
0.70	9	2	82	0.8182	0.0989	0.3333	0.1765

Best F0.5: 0.4819 (thr=0.3) Best F1: 0.4664 (thr=0.1)

Task: Token Classification
Library: gliner2
Type: extractor
License: apache-2.0
Created: Aug 15, 2026
Updated: Aug 15, 2026