Update README.md

README.md

@@ -24,7 +24,19 @@ datasets:
 
 metrics:
 
-- "???"
+- f1
+
+model-index:
+- name: roberta-base-ca-cased-te
+  results:
+  - task: 
+      type: token-classification 
+    dataset:
+      type:   projecte-aina/ancora-ca-ner
+      name: ancora-ca-ner
+    metrics:
+      - type: f1
+        value: 0.8963029756537422
 
 widget:
 
@@ -36,4 +48,43 @@ widget:
 
 ---
 
-# Catalan RoBERTa-base trained on Catalan Textual Corpus fine-tuned for Named Entity Recognition
+# Catalan BERTa (RoBERTa-base) finetuned for Named Entity Recognition.
+
+The **roberta-base-ca-cased-ner** is a Named Entity Recognition (NER) 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 NER dataset in Catalan called [Ancora-NER](https://huggingface.co/datasets/projecte-aina/ancora-ca-ner) for training and evaluation.
+
+## Evaluation and results
+Below, the evaluation result on the Ancora-NER test set:
+| Task        | TECA (accuracy) | 
+| ------------|:----|
+| BERTa       | **89.63** |
+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