Update README.md

README.md

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+# mlm-spanish-roberta-base
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+This model has a RoBERTa base architecture and was trained from scratch with 3.6 GB of raw text over 10 epochs. 4 Tesla V-100 GPUs were used for the training.
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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)    |
+|:-----------------------:|:---------------------:|
+|           XNLI          |    71.99 (accuracy)   |
+|       Paraphrasing      |    74.85 (accuracy)   |
+|           NER           |       85.34 (F1)      |
+|           POS           |    97.49 (accuracy)   |
+|    Dependency Parsing   | 85.14/81.08 (UAS/LAS) |
+| Document Classification |    93.00 (accuracy)   |