Create README.md

README.md

@@ -0,0 +1,43 @@
+---
+language:
+- es
+license: "cc-by-4.0"
+tags:
+- "national library of spain"
+- "spanish"
+- "bne"
+- "qa"
+- "question answering"
+datasets:
+- "BSC-TeMU/SQAC"  
+metrics:
+- "f1"
+
+---
+
+# Spanish RoBERTa-large trained on BNE finetuned for Spanish Question Answering Corpus (SQAC) dataset.
+RoBERTa-large-bne is a transformer-based masked language model for the Spanish language. It is based on the [RoBERTa](https://arxiv.org/abs/1907.11692) large model and has been pre-trained using the largest Spanish corpus known to date, with a total of 570GB of clean and deduplicated text processed for this work, compiled from the web crawlings performed by the  [National Library of Spain (Biblioteca Nacional de España)](http://www.bne.es/en/Inicio/index.html) from 2009 to 2019.
+
+Original pre-trained model can be found here: https://huggingface.co/BSC-TeMU/roberta-large-bne
+
+## Dataset
+The dataset used is the one from the [SQAC corpus](https://huggingface.co/datasets/BSC-TeMU/SQAC).
+
+## Evaluation and results
+F1 Score: 0.7993 (average of 5 runs).
+
+For evaluation details visit our [GitHub repository](https://github.com/PlanTL-SANIDAD/lm-spanish).
+
+
+## Citing 
+Check out our paper for all the details: https://arxiv.org/abs/2107.07253
+```
+@misc{gutierrezfandino2021spanish,
+      title={Spanish Language Models}, 
+      author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Marc Pàmies and Joan Llop-Palao and Joaquín Silveira-Ocampo and Casimiro Pio Carrino and Aitor Gonzalez-Agirre and Carme Armentano-Oller and Carlos Rodriguez-Penagos and Marta Villegas},
+      year={2021},
+      eprint={2107.07253},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```