Update README.md

README.md

@@ -38,10 +38,15 @@ The **roberta-base-ca-cased-qa** is a Question Answering (QA) model for the Cata
 We used the QA dataset in Catalan called [ViquiQuAD](https://huggingface.co/datasets/projecte-aina/viquiquad) for training and evaluation, and the [XQuAD-ca](https://huggingface.co/datasets/projecte-aina/xquad-ca) test set for evaluation.
 
 ## Evaluation and results
+We evaluated the _roberta-base-ca-cased-qa_ on the ViquiQuAD and XQuAD-ca test sets against standard multilingual and monolingual baselines:
 
-| Task        | QA (ViquiQuAD) (F1/EM)  | QA (XQuAD-ca) (F1/EM) | 
-| ------------|:------|:----|
-| BERTa       | **86.99/73.25** | **67.81/49.43** |
+
+| Model        | ViquiQuAD (F1/EM)  | XQuAD-ca (F1/EM) | 
+| ------------|:-------------:| -----:|
+| roberta-base-ca-cased-qa | **86.99/73.25** | **67.81/49.43**  |
+| mBERT       | 86.97/72.22 | 67.15/46.51 |
+| XLM-RoBERTa | 85.50/70.47 | 67.10/46.42 |
+| WikiBERT-ca | 85.45/70.75 | 65.21/36.60  |
 
 For more details, check the fine-tuning and evaluation scripts in the official [GitHub repository](https://github.com/projecte-aina/berta).