Update README.md

README.md

@@ -150,7 +150,7 @@ Our final models were trained on a different number of steps and sequence length
 
 | Dataset     | Metric   | RoBERTa-b | RoBERTa-l | BETO   | mBERT  | BERTIN |
 |-------------|----------|-----------|-----------|--------|--------|--------|
-| UD-POS      | F1       |    0.9907 |    0.9901 | 0.9900 | 0.9886 | 0.9904 |
+| UD-POS      | F1       |    **0.9907** |    0.9901 | 0.9900 | 0.9886 | **0.9904** |
 | Conll-NER   | F1       |    0.8851 |    0.8772 | 0.8759 | 0.8691 | 0.8627 |
 | Capitel-POS | F1       |    0.9846 |    0.9851 | 0.9836 | 0.9839 | 0.9826 |
 | Capitel-NER | F1       |    0.8959 |    0.8998 | 0.8771 | 0.8810 | 0.8741 |
@@ -260,18 +260,17 @@ All models trained with max length 256 and batch size 32.
  
 | Model                                              | Accuracy |  
 |----------------------------------------------------|----------|
-| bert-base-multilingual-cased                       | WIP   |
-| dccuchile/bert-base-spanish-wwm-cased              | WIP   | 
-| BSC-TeMU/roberta-base-bne                          | WIP   |  
-| bertin-project/bertin-roberta-base-spanish         | WIP   |  
+| bert-base-multilingual-cased                       | 0.7852   |
+| dccuchile/bert-base-spanish-wwm-cased              | **0.8186**   | 
+| BSC-TeMU/roberta-base-bne                          | 0.8178   |  
 | bertin-project/bertin-base-random                  | 0.7745   | 
 | bertin-project/bertin-base-stepwise                | 0.7820   |   
-| bertin-project/bertin-base-gaussian                | **0.7942**   |  
+| bertin-project/bertin-base-gaussian                | 0.7942   |  
 | bertin-project/bertin-base-random-exp-512seqlen    | 0.7723   |  
 | bertin-project/bertin-base-gaussian-exp-512seqlen  | 0.7878   |
 
 
-<caption>Table 6. Results for CNLI.</caption>
+<caption>Table 6. Results for XNLI.</caption>
 </figure>
 
 # Conclusions