bertin-project / bertin-base-ner-conll2002-es

huggingface.co
Total runs: 75
24-hour runs: -2
7-day runs: -4
30-day runs: 37
Model's Last Updated: April 05 2023
token-classification

Introduction of bertin-base-ner-conll2002-es

Model Details of bertin-base-ner-conll2002-es

This checkpoint has been trained for the NER task using the CoNLL2002-es dataset.

This is a NER checkpoint 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).

This is part of the Flax/Jax Community Week , organised by HuggingFace and TPU usage sponsored by Google.

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Runs of bertin-project bertin-base-ner-conll2002-es on huggingface.co

75
Total runs
-2
24-hour runs
-4
3-day runs
-4
7-day runs
37
30-day runs

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Total runs: 20
Run Growth: 12
Growth Rate: 60.00%
Updated:October 20 2025