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MMG/mlm-spanish-roberta-base

sourceHugging Faceupdated 3y agoView on Hugging Face
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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:

TaskScore (metric)
XNLI71.99 (accuracy)
Paraphrasing74.85 (accuracy)
NER85.34 (F1)
POS97.49 (accuracy)
Dependency Parsing85.14/81.08 (UAS/LAS)
Document Classification93.00 (accuracy)