Update README.md

README.md

@@ -121,7 +121,7 @@ The model was trained using shards of 10 million sentences, for a total of 8.000
 
 ### Variable and metrics
 
-We use the BLEU score for evaluation on test sets: [Flores-101](https://github.com/facebookresearch/flores), [TaCon](https://elrc-share.eu/repository/browse/tacon-spanish-constitution-mt-test-set/84a96138b98611ec9c1a00155d02670628f3e6857b0f422abd82abc3795ec8c2/), [United Nations](https://zenodo.org/record/3888414#.Y33-_tLMIW0), [Cybersecurity](https://elrc-share.eu/repository/browse/cyber-mt-test-set/2bd93faab98c11ec9c1a00155d026706b96a490ed3e140f0a29a80a08c46e91e/), [wmt19 biomedical test set](), [wmt13 news test set](https://elrc-share.eu/repository/browse/catalan-wmt2013-machine-translation-shared-task-test-set/84a96139b98611ec9c1a00155d0267061a0aa1b62e2248e89aab4952f3c230fc/), [aina aapp]()
+We use the BLEU score for evaluation on test sets: [Flores-101](https://github.com/facebookresearch/flores), [TaCon](https://elrc-share.eu/repository/browse/tacon-spanish-constitution-mt-test-set/84a96138b98611ec9c1a00155d02670628f3e6857b0f422abd82abc3795ec8c2/), [United Nations](https://zenodo.org/record/3888414#.Y33-_tLMIW0), [Cybersecurity](https://elrc-share.eu/repository/browse/cyber-mt-test-set/2bd93faab98c11ec9c1a00155d026706b96a490ed3e140f0a29a80a08c46e91e/), [wmt19 biomedical test set](), [wmt13 news test set](https://elrc-share.eu/repository/browse/catalan-wmt2013-machine-translation-shared-task-test-set/84a96139b98611ec9c1a00155d0267061a0aa1b62e2248e89aab4952f3c230fc/)
 
 ### Evaluation results
 
@@ -129,15 +129,14 @@ Below are the evaluation results on the machine translation from Spanish to Cata
 
 | Test set             | SoftCatalà | Google Translate |mt-plantl-es-ca|
 |----------------------|------------|------------------|---------------|
-| Spanish Constitution |            | 61,7             | 63,0          |
-| United Nations       |            | 74,8             | 74,9          |
-| aina_aapp            |            | 76,8             |               |
-| Flores 101 dev       |            | 23,1             | 22,5          |
-| Flores 101 devtest   |            | 23,6             | 23,1          |
-| Cybersecurity        |            | 69,5             | 67,3          |
-| wmt 19 biomedical    |            | 59,7             | 60,6          |
-| wmt 13 news          |            | 22,4             | 22,0          |
-| Average              |            | 51,4             |               |
+| Spanish Constitution | **63,6**   | 61,7             | 63,0          |
+| United Nations       | 73,8       | 74,8             | **74,9**      |
+| Flores 101 dev       | 22         | **23,1**         | 22,5          |
+| Flores 101 devtest   | 22,7       | **23,6**         | 23,1          |
+| Cybersecurity        | 61,4       | **69,5**         | 67,3          |
+| wmt 19 biomedical    | 60,2       | 59,7             | **60,6**      |
+| wmt 13 news          | 21,3       | **22,4**         | 22,0          |
+| Average              | 46,4       | **47,8**         | 47,6          |
 
 ## Additional information