README.md

---
license: cc-by-nc-4.0
language:
- fr
base_model:
- google/mt5-small
pipeline_tag: text-generation
citation: |
  @inproceedings{moncla2026edda,
    title={EDDA-Coordinata: An Annotated Dataset of Historical Geographic Coordinates},
    author={Moncla, Ludovic and Nugues, Pierre and Joliveau, Thierry and McDonough, Katherine},
    booktitle={Proceedings of the 2026 Language Resources and Evaluation Conference (LREC 2026)},
    year={2026},
    url={https://arxiv.org/abs/2602.23941}
  }
---


# Model Card of `GEODE/mt5-small-coords-norm`
This model is fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) for extracting and normalizing geographic coordinates from texts.

### Overview
- **Language model:** [google/mt5-small](https://huggingface.co/google/mt5-small)   
- **Language:** French 
- **Training data:** 
- **Online Demo:** [https://huggingface.co/spaces/GEODE/edda-coordinates](https://huggingface.co/spaces/GEODE/edda-coordinates)
- **Repository:** []()

### Usage


```python
from transformers import pipeline

pipe = pipeline("text2text-generation", model="GEODE/mt5-small-coords-norm")
pipe("* AACH ou ACH, s. f. petite ville d'Allemagne dans le cercle de Souabe, près de la source de l'Aach. Long. 26. 57. lat. 47. 55.")
```

## Evaluation


### 5-Fold Cross-Validation Results

|  Metric          |   Score  | 
|:-----------------|---------:|
| Mean Exact Match |   0.8365 | 
| Mean Char F1     |   0.9675 | 


## Training hyperparameters

The following hyperparameters were used during fine-tuning:
 - dataset_path: 
 - dataset_name: edda-coordinata
 - input_types: ['encyclopedic_text_entry', 'dms_coordinates']
 - output_types: 'dms_coordinates'
 - model: google/mt5-small
 - max_length: 512
 - max_length_output: 128
 - epoch: 10
 - batch: 8
 - lr: 0.0005
 - random_seed: 42
 - gradient_accumulation_steps: 1


## Citation

If you use the **EDDA-Coordinata** dataset or the associated models, please cite our LREC 2026 paper:

```bibtex
@inproceedings{moncla2026edda,
  title={EDDA-Coordinata: An Annotated Dataset of Historical Geographic Coordinates},
  author={Moncla, Ludovic and Nugues, Pierre and Joliveau, Thierry and McDonough, Katherine},
  booktitle={Proceedings of the 2026 Language Resources and Evaluation Conference (LREC 2026)},
  year={2026},
  url={[https://arxiv.org/abs/2602.23941](https://arxiv.org/abs/2602.23941)}
}
```