This is a
RoBERTa-base
model trained from scratch in Spanish.
The training dataset is
mc4
subsampling documents to a total of about 50 million examples. Sampling is biased towards average perplexity values (using a Gaussian function), discarding more often documents with very large values (poor quality) of very small values (short, repetitive texts).
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