shorten accuracy

README.md

@@ -158,7 +158,7 @@ Here are the train/dev/test splits of the datasets:
 
 ### Evaluation Results
 
-| Task        | NER (F1)      | POS (F1)   | STS (Combined)   | TC (Accuracy) | TE (Accuracy) | QA (Vilaquad) (F1/EM)| QA (ViquiQuAD) (F1/EM) | QA (CatalanQA) (F1/EM) | QA (XQuAD-Ca)<sup>1</sup> (F1/EM) | 
+| Task        | NER (F1)      | POS (F1)   | STS (Combined)   | TC (Acc.) | TE (Acc.) | QA (Vilaquad) (F1/EM)| QA (ViquiQuAD) (F1/EM) | QA (CatalanQA) (F1/EM) | QA (XQuAD-Ca)<sup>1</sup> (F1/EM) | 
 | ------------|:-------------:| -----:|:------|:------|:-------|:------|:----|:----|:----|
 | RoBERTa-base-ca-v2      | **89.45** | 99.09 | 79.07 | **74.26** | **83.14** | **87.74/72.58** | **88.72/75.91** | **89.50**/76.63 | **73.64/55.42** |
 | BERTa      | 88.94 | **99.10** | **80.19** | 73.65 | 79.26 | 85.93/70.58 | 87.12/73.11 | 89.17/**77.14** | 69.20/51.47 |