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README.md

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-# Catalan RoBERTa-base trained on Catalan Textual Corpus fine-tuned for Text Classification.
+# 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