README.md

---
license: apache-2.0
language:
- es
tags:
- sentence-transformers
- style-embeddings
- stylometry
- spanish
- contrastive-learning
base_model: StyleDistance/mstyledistance
datasets:
- cespinr/SynthSTEL-ES
pretty_name: StyleECU
---

# StyleECU-es

**StyleECU-es** is a style embedding model for Spanish, obtained by fine-tuning
[mStyleDistance](https://huggingface.co/StyleDistance/mstyledistance) on
[SynthSTEL-ES](https://huggingface.co/datasets/style-anon/SynthSTEL-ES),
a purpose-built Spanish contrastive dataset of 51,400 triplets covering 71 stylistic dimensions.

## Model Description

StyleECU-es specializes the mStyleDistance embedding space toward stylistic phenomena most relevant to Spanish,
including dialectal variation (*voseo/tuteo*), expressive morphology, syntactic complexity, and digital style.

## Training

- **Base model:** `StyleDistance/mstyledistance`
- **Training objective:** TripletLoss (contrastive learning)
- **Dataset:** [style-anon/SynthSTEL-ES](https://huggingface.co/datasets/style-anon/SynthSTEL-ES)
- **Training size:** 51,400 triplets
- **Epochs:** 2

## Usage

```python
from sentence_transformers import SentenceTransformer

model = SentenceTransformer("style-anon/StyleECU-es")
embeddings = model.encode(["Your text here"])
```

## Evaluation

Evaluated on PAN author profiling tasks (Spanish):

| Task | Base (mStyleDistance) | StyleECU-es | Δ |
|------|----------------------|----------|---|
| PAN 2018 – Gender prediction | baseline | +3 pp | +3 pp |
| PAN 2021 – Hate speech spreaders | 0.70 | 0.81 | +11 pp |

## Authors



## Citation

If you use this model, please cite:

*Paper under review. Citation will be updated upon publication.*