---
license: apache-2.0
pipeline_tag: token-classification
tags:
  - ner
  - gliner2
  - data-use
---

# gliner2_datause_extended

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-extended` (gliner2 config)
- epochs: 5
- encoder LR: 1e-05
- task LR: 0.0005
- batch size: 8
- precision: bf16

## Evaluation (holdout, label-agnostic)

| thr | tp | fp | fn | precision | recall | f0.5 | f1 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 0.10 | 12163 | 5439 | 404 | 0.6910 | 0.9679 | 0.7329 | 0.8063 |
| 0.20 | 11976 | 4277 | 591 | 0.7368 | 0.9530 | 0.7719 | 0.8311 |
| 0.30 | 11788 | 3535 | 779 | 0.7693 | 0.9380 | 0.7980 | 0.8453 |
| 0.40 | 11618 | 2942 | 949 | 0.7979 | 0.9245 | 0.8204 | 0.8566 |
| 0.50 | 11383 | 2478 | 1184 | 0.8212 | 0.9058 | 0.8368 | 0.8614 |
| 0.60 | 11068 | 2008 | 1499 | 0.8464 | 0.8807 | 0.8531 | 0.8632 |
| 0.70 | 10487 | 1535 | 2080 | 0.8723 | 0.8345 | 0.8645 | 0.8530 |

**Best F0.5**: 0.8645 (thr=0.7)
**Best F1**: 0.8632 (thr=0.6)

<!-- NER_COMPARISON_START -->
## NER holdout comparison
device: NVIDIA H100 NVL

### rafmacalaba/data-use-mentions-extended (n=9249)

| model | backend | best F0.5 | thr | best F1 | thr | wall-clock (s) | texts/s |
| --- | --- | --- | --- | --- | --- | --- | --- |
| `rafmacalaba/gliner_datause_extended` | gliner | 0.8506 | 0.6 | 0.8549 | 0.5 | 202.7 | 45.6 |
| `ai4data/gliner2_datause` | gliner2 | 0.8634 | 0.7 | 0.8624 | 0.6 | 180.8 | 51.1 |

F0.5 by threshold (sweet spots side-by-side):

| thr | `rafmacalaba/gliner_datause_extended` | `ai4data/gliner2_datause` |
| --- | --- | --- |
| 0.1 | 0.6476 | 0.7321 |
| 0.2 | 0.7121 | 0.7712 |
| 0.3 | 0.7505 | 0.7979 |
| 0.4 | 0.7858 | 0.8201 |
| 0.5 | 0.8224 | 0.8363 |
| 0.6 | 0.8506 | 0.8523 |
| 0.7 | 0.8422 | 0.8634 |
<!-- NER_COMPARISON_END -->