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This checkpoint has been trained for the POS task using the CoNLL 2002-es dataset.
This checkpoint was created from
Bertin Gaussian 512
, which is a
RoBERTa-base
model trained from scratch in Spanish. Information on this base model may be found at
its own card
and at deeper detail on
the main project card
.
The training dataset for the base model 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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bertin-project bertin-base-pos-conll2002-es online free url in huggingface.co:
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