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rafmacalaba/
gliner_datause_smoketest

Name: gliner_datause_smoketest
Availability: InStock

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gliner_datause_smoketest

Fine-tune of urchade/gliner_large-v2.1 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: urchade/gliner_large-v2.1
dataset: rafmacalaba/data-use-mentions (gliner config)
epochs: 1
learning rate: 5e-06
batch size: 16
precision: bf16

Evaluation (holdout)

thr	tp	fp	fn	precision	recall	f0.5	f1
0.10	71	1253	20	0.0536	0.7802	0.0659	0.1004
0.20	54	519	37	0.0942	0.5934	0.1133	0.1627
0.30	29	204	62	0.1245	0.3187	0.1417	0.1790
0.40	21	67	70	0.2386	0.2308	0.2370	0.2346
0.50	11	34	80	0.2444	0.1209	0.2030	0.1618
0.60	4	23	87	0.1481	0.0440	0.1005	0.0678
0.70	1	15	90	0.0625	0.0110	0.0323	0.0187

Best F0.5: 0.2370 (thr=0.4) Best F1: 0.2346 (thr=0.4)

rafmacalaba/gliner_datause_smoketest

gliner_datause_smoketest

Labels

Training

Evaluation (holdout)

rafmacalaba/
gliner_datause_smoketest