metadata

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 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)