Fairseq
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Update README.md

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@@ -128,7 +128,7 @@ The model was trained for a total of 35.000 updates. Weights were saved every 10
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  We use the BLEU score for evaluation on test sets:
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- [Spanish Constitution - TaCon](https://elrc-share.eu/repository/browse/tacon-spanish-constitution-mt-test-set/84a96138b98611ec9c1a00155d02670628f3e6857b0f422abd82abc3795ec8c2/),
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  [United Nations](https://zenodo.org/record/3888414#.Y33-_tLMIW0),
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  [European Commission](https://elrc-share.eu/repository/browse/european-commission-corpus/8a419b1758ea11ed9c1a00155d0267069bd085cae124481589b0858e5b274327/),
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  [Flores-101](https://github.com/facebookresearch/flores),
@@ -146,7 +146,6 @@ Below are the evaluation results on the machine translation from Catalan to Engl
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  |----------------------|------------|------------------|---------------|
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  | Spanish Constitution | 35,8 | **43,2** | 40,3 |
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  | United Nations | 44,4 | **47,4** | 44,8 |
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- | aina_aapp | 48,8 | **53,0** | 51,5 |
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  | European Commission | 52,0 | **53,7** | 53,1 |
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  | Flores 101 dev | 42,7 | **47,5** | 46,1 |
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  | Flores 101 devtest | 42,5 | **46,9** | 45,2 |
 
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  We use the BLEU score for evaluation on test sets:
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+ [Spanish Constitution (TaCon)](https://elrc-share.eu/repository/browse/tacon-spanish-constitution-mt-test-set/84a96138b98611ec9c1a00155d02670628f3e6857b0f422abd82abc3795ec8c2/),
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  [United Nations](https://zenodo.org/record/3888414#.Y33-_tLMIW0),
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  [European Commission](https://elrc-share.eu/repository/browse/european-commission-corpus/8a419b1758ea11ed9c1a00155d0267069bd085cae124481589b0858e5b274327/),
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  [Flores-101](https://github.com/facebookresearch/flores),
 
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  |----------------------|------------|------------------|---------------|
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  | Spanish Constitution | 35,8 | **43,2** | 40,3 |
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  | United Nations | 44,4 | **47,4** | 44,8 |
 
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  | European Commission | 52,0 | **53,7** | 53,1 |
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  | Flores 101 dev | 42,7 | **47,5** | 46,1 |
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  | Flores 101 devtest | 42,5 | **46,9** | 45,2 |