StyleECU-es

StyleECU-es is a style embedding model for Spanish, obtained by fine-tuning mStyleDistance on 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
• Training size: 51,400 triplets
• Epochs: 2

Usage

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.