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BERTIN is a series of BERT-based models for Spanish. This one is a RoBERTa-large model trained from scratch on the Spanish portion of mC4 using Flax, including training scripts.
This is part of the Flax/Jax Community Week, organised by HuggingFace and TPU usage sponsored by Google.
The Spanish portion of mC4 containes about 416 million records and 235 billion words.
$ zcat c4/multilingual/c4-es*.tfrecord*.json.gz | wc -l
416057992
$ zcat c4/multilingual/c4-es*.tfrecord-*.json.gz | jq -r '.text | split(" ") | length' | paste -s -d+ - | bc
235303687795
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