readme: ---
  language:
  - es
  
  widget:
  - text: "MMG se dedica a la <mask> artificial."
  
  ---
  
  # mlm-spanish-roberta-base
  
  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.
  
  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:
  
  |          Task           |     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)   |
  