---
license: apache-2.0
pipeline_tag: token-classification
tags:
  - ner
  - gliner
  - data-use
---

# 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)