Update README.md

README.md

@@ -118,20 +118,22 @@ As an example, the distilled version of BERT has 40% fewer parameters and runs 6
 This model has been fine-tuned on the downstream tasks of the Catalan Language Understanding Evaluation benchmark (CLUB).
 
 Here are the train/dev/test splits of each dataset:
-| Dataset | Task | Total | Train | Dev  | Test |
-|:--|:--|:--|:--|:--|:--|
-| Ancora | NER |13,581 | 10,628 | 1,427 | 1,526 |
-| Ancora | POS | 16,678 | 13,123 | 1,709 | 1,846 |
-| STS-ca | STS | 3,073 | 2,073 | 500 | 500 |
-| TeCla | TC |  137,775 | 110,203 | 13,786 |  13,786|
-| TE-ca | TE |  21,163 | 16,930 | 2,116 | 2,117
-| VilaQuAD | QA | 6,282  | 3,882  | 1,200  | 1,200 |
-| ViquiQuAD | QA | 14,239  | 11,255  | 1,492  | 1,429 |
-| CatalanQA | QA | 21,427  | 17,135  | 2,157  | 2,135 |
+
+| Dataset   | Task| Total   | Train  | Dev   | Test  |
+|:----------|:----|:--------|:-------|:------|:------|
+| Ancora    | NER | 13,581  | 10,628 | 1,427 | 1,526 |
+| Ancora    | POS | 16,678  | 13,123 | 1,709 | 1,846 |
+| STS-ca    | STS | 3,073   | 2,073  | 500   | 500   |
+| TeCla     | TC  | 137,775 | 110,203| 13,786| 13,786|
+| TE-ca     | TE  | 21,163  | 16,930 | 2,116 | 2,117 |
+| VilaQuAD  | QA  | 6,282   | 3,882  | 1,200 | 1,200 |
+| ViquiQuAD | QA  | 14,239  | 11,255 | 1,492 | 1,429 |
+| CatalanQA | QA  | 21,427  | 17,135 | 2,157 | 2,135 |
 
 ### Evaluation results
 
 This is how it compares to the teacher model when fine-tuned on the same downstream tasks:
+
 | Model \ Task| NER (F1)      | POS (F1)   | STS-ca (Comb)   | TeCla (Acc.) | TEca (Acc.) | VilaQuAD (F1/EM)| ViquiQuAD (F1/EM) | CatalanQA (F1/EM) | XQuAD-ca <sup>1</sup> (F1/EM) | 
 | ------------|:-------------:| -----:|:------|:------|:-------|:------|:----|:----|:----|
 | RoBERTa-large-ca-v2     | 89.82 | 99.02 | 83.41 | 75.46 | 83.61 | 89.34/75.50 | 89.20/75.77 | 90.72/79.06 | 73.79/55.34 |