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---
language:
- ca
license: ???
tags:
- "catalan"
- "text classification"
- "tecla"
- "CaText"
- "Catalan Textual Corpus"
dataset:
- "projecte-aina/tecla"
metrics:
- accuracy
model-index:
- name: roberta-ca-cased-based-tc
results:
- task:
type: text-classification
dataset:
name: tecla
type: projecte-aina/tecla
metrics:
- name: Accuracy
type: accuracy
value: 0.740388810634613
widget:
- text: "Els Pets presenten el seu nou treball al Palau Sant Jordi."
- text: "Els barcelonins incrementen un 23% l’ús del cotxe des de l’inici de la pandèmia."
- text: "Retards a quatre línies de Rodalies per una avaria entre Sants i plaça de Catalunya."
- text: "Majors de 60 anys i sanitaris començaran a rebre la tercera dosi de la vacuna covid els propers dies."
- text: "Els cinemes Verdi estrenen Verdi Classics, un nou canal de televisió."
---
# Catalan RoBERTa-base trained on Catalan Textual Corpus fine-tuned for Text Classification.
The **roberta-base-ca-cased-tc** is a Text Classification (TC) model for the Catalan language fine-tuned from the [BERTa](https://huggingface.co/PlanTL-GOB-ES/roberta-base-ca) model, a [RoBERTa](https://arxiv.org/abs/1907.11692) base model pre-trained on a medium-size corpus collected from publicly available corpora and crawlers (check the BERTa model card for more details).
## Datasets
We used the QA dataset in Catalan called [TeCla](https://huggingface.co/datasets/projecte-aina/viquiquad) for training and evaluation.
## Evaluation and results
Below, the evaluation result on the TeCla test set:
| Task | TeCla (accuracy) |
| ------------|:----|
| BERTa | **74.04** |
For more details, check the fine-tuning and evaluation scripts in the official [GitHub repository](https://github.com/projecte-aina/berta).
## Citing
If you use any of these resources (datasets or models) in your work, please cite our latest paper:
```bibtex
@inproceedings{armengol-estape-etal-2021-multilingual,
title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",
author = "Armengol-Estap{\'e}, Jordi and
Carrino, Casimiro Pio and
Rodriguez-Penagos, Carlos and
de Gibert Bonet, Ona and
Armentano-Oller, Carme and
Gonzalez-Agirre, Aitor and
Melero, Maite and
Villegas, Marta",
booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.findings-acl.437",
doi = "10.18653/v1/2021.findings-acl.437",
pages = "4933--4946",
}
```
## Funding
TODO
## Disclaimer
TODO |