Update README.md

README.md

@@ -27,7 +27,7 @@ metrics:
 - f1
 
 model-index:
-- name: roberta-base-ca-cased-te
+- name: roberta-base-ca-cased-ner
   results:
   - task: 
       type: token-classification 
@@ -36,7 +36,7 @@ model-index:
       name: ancora-ca-ner
     metrics:
       - type: f1
-        value: 0.8963029756537422
+        value: 0.8813
 
 widget:
 
@@ -56,11 +56,11 @@ The **roberta-base-ca-cased-ner** is a Named Entity Recognition (NER) model for
 We used the NER dataset in Catalan called [Ancora-ca-ner](https://huggingface.co/datasets/projecte-aina/ancora-ca-ner) for training and evaluation.
 
 ## Evaluation and results
-We evaluated the _roberta-base-ca-cased-tc_ on the Ancora-ca-ner test set against standard multilingual and monolingual baselines:
+We evaluated the _roberta-base-ca-cased-ner_ on the Ancora-ca-ner test set against standard multilingual and monolingual baselines:
 
 | Model        | Ancora-ca-ner (F1)| 
 | ------------|:-------------|
-| roberta-base-ca-cased-ner | **89.63** |
+| roberta-base-ca-cased-ner | **88.13** |
 | mBERT       | 86.38 |
 | XLM-RoBERTa | 87.66 | 
 | WikiBERT-ca | 77.66 |