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bertin-roberta-base-spanish

Inference Endpoints

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Pablogps commited on Jul 22, 2021

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@@ -203,19 +203,19 @@ We are currently in the process of applying our language models to downstream ta
 <figure>
-<caption>Table x.</caption>
-|     Model    | CoNLL 2002-POS (F1/Acc) | CoNLL 2002-NER (F1/Acc) |
-|--------------|-------------------------|-------------------------|
-|   BERT-m     |    0.9629 / 0.9687      |                         |
-|  BERT-wwm    |    0.9642 / 0.9700      |                        |
-|   BSC-BNE    |     0.9659 / 0.9707     |                        |
-|    Beta      |    0.9638 / 0.9690      |                        |
-|    Random    |   0.9656 / 0.9704       |                        |
-|  Stepwise    |   0.9656 / 0.9707       |                        |
-|   Gaussian   |   0.9662 / 0.9709       |                        |
-| Random-512   |   0.9660 /  0.9707      |                        |
-| Gaussian-512 |   **0.9662 / 0.9714**   |                        |
 </figure>

 <figure>
+<caption>Table x. Dataset for POS nad NER is CoNLL 2002.</caption>
+|     Model    | POS (F1/Acc)            | NER (F1/Acc)         |  PAWS-X (Acc) | XNLI-256 (Acc) |  XNLI-512 (Acc) |
+|--------------|-------------------------|----------------------|--------------|--------------|--------------|
+|   BERT-m     |    0.9629 / 0.9687      | 0.8539 / 0.9779      |    |    |    |
+|  BERT-wwm    |    0.9642 / 0.9700      | 0.8579 / 0.9783      |    |    |    |
+|   BSC-BNE    |     0.9659 / 0.9707     |  0.8700 / 0.9807     |    |    |    |
+|    Beta      |    0.9638 / 0.9690      |  0.8725 / 0.9812     |    |    |    |
+|    Random    |   0.9656 / 0.9704       | 0.8704 / 0.9807      |    |    |    |
+|  Stepwise    |   0.9656 / 0.9707       |  0.8705 / 0.9809     |    |    |    |
+|   Gaussian   |   0.9662 / 0.9709       |  **0.8792 / 0.9816** |    |    |    |
+| Random-512   |   0.9660 /  0.9707      |   0.8616 / 0.9803    |    |    |    |
+| Gaussian-512 |   **0.9662 / 0.9714**   |  **0.8764 / 0.9819** |    |    |    |
 </figure>