Fairseq
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@@ -104,6 +104,7 @@ The model was trained for a total of 16000 updates. Weights were saved every 100
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  We use the BLEU score for evaluation on the following 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-200](https://github.com/facebookresearch/flores),
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  [Cybersecurity](https://elrc-share.eu/repository/browse/cyber-mt-test-set/2bd93faab98c11ec9c1a00155d026706b96a490ed3e140f0a29a80a08c46e91e/),
 
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  We use the BLEU score for evaluation on the following 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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+ [AAPP](https://elrc-share.eu/repository/browse/catalan-spanish-catgov-corpus/8088130a722811ed9c1a00155d02670690607f8261a847549c8a0583cbe729da/),
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  [European Commission](https://elrc-share.eu/repository/browse/european-commission-corpus/8a419b1758ea11ed9c1a00155d0267069bd085cae124481589b0858e5b274327/),
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  [Flores-200](https://github.com/facebookresearch/flores),
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  [Cybersecurity](https://elrc-share.eu/repository/browse/cyber-mt-test-set/2bd93faab98c11ec9c1a00155d026706b96a490ed3e140f0a29a80a08c46e91e/),