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@@ -13,7 +13,7 @@ This model has a RoBERTa base architecture and was trained from scratch with 3.6
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  To test the quality of the resulting model we evaluate it over the [GLUES](https://github.com/dccuchile/GLUES) benchmark for Spanish NLU. The results are the following:
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- | Tarea | Score (metric) |
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  |:-----------------------:|:---------------------:|
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  | XNLI | 71.99 (accuracy) |
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  | Paraphrasing | 74.85 (accuracy) |
 
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  To test the quality of the resulting model we evaluate it over the [GLUES](https://github.com/dccuchile/GLUES) benchmark for Spanish NLU. The results are the following:
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+ | Task | Score (metric) |
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  |:-----------------------:|:---------------------:|
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  | XNLI | 71.99 (accuracy) |
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  | Paraphrasing | 74.85 (accuracy) |