Fairseq
Catalan
Italian
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@@ -122,7 +122,7 @@ The model was trained for a total of 36.000 updates. Weights were saved every 10
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  ### Variable and metrics
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- We use the BLEU score for evaluation on the [Flores-101](https://github.com/facebookresearch/flores), and [NTREX](https://github.com/MicrosoftTranslator/NTREX) evaluation datasets.
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  ### Evaluation results
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@@ -134,7 +134,7 @@ Below are the evaluation results on the machine translation from Catalan to Ital
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  | Flores 101 devtest |25,3 | **29** | 28,1 |
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  | NTEU | 41,8 | 44,8 | **53,2** |
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  | NTREX | 28 | **31,5** | 30,1 |
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- | Average | 30 | 33,5 | **34,85** |
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  ## Additional information
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  ### Variable and metrics
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+ We use the BLEU score for evaluation on the [Flores-101](https://github.com/facebookresearch/flores), NTEU (unpublished) and [NTREX](https://github.com/MicrosoftTranslator/NTREX) evaluation datasets.
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  ### Evaluation results
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  | Flores 101 devtest |25,3 | **29** | 28,1 |
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  | NTEU | 41,8 | 44,8 | **53,2** |
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  | NTREX | 28 | **31,5** | 30,1 |
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+ | **Average** | 30 | 33,5 | **34,85** |
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  ## Additional information
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