update model card
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README.md
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@@ -118,7 +118,7 @@ The following hyperparameters were set on the Fairseq toolkit:
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| Dropout | 0.1 |
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| Label smoothing | 0.1 |
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The model was trained for a total of
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## Evaluation
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@@ -132,10 +132,10 @@ Below are the evaluation results on the machine translation from Catalan to Germ
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| Test set | SoftCatalà | Google Translate |mt-aina-ca-de|
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| Flores 101 dev | 26,2 | **34,8** |
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| Flores 101 devtest |26,3 | **34,0** | 26,
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| NTREX | 21,7 | **28,8** | 20,
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| Average | 24,7 | **32,5** | 24,
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## Additional information
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| Dropout | 0.1 |
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| Label smoothing | 0.1 |
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The model was trained for a total of 22.000 updates. Weights were saved every 1000 updates and reported results are the average of the last 3 checkpoints.
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## Evaluation
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| Test set | SoftCatalà | Google Translate |mt-aina-ca-de|
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| Flores 101 dev | 26,2 | **34,8** | 27,5 |
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| Flores 101 devtest |26,3 | **34,0** | 26,9 |
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| NTREX | 21,7 | **28,8** | 20,4 |
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| Average | 24,7 | **32,5** | 24,9 |
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## Additional information
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