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README.md
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</details>
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## Model description
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The **roberta-large-bne-capitel-ner** is Named Entity Recognition (NER) model for the Spanish language fine-tuned from the [roberta-large-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne) model, a [RoBERTa](https://arxiv.org/abs/1907.11692) large model pre-trained using the largest Spanish corpus known to date, with a total of 570GB of clean and deduplicated text, processed for this work, compiled from the web crawlings performed by the [National Library of Spain (Biblioteca Nacional de España)](http://www.bne.es/en/Inicio/index.html) from 2009 to 2019.
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## Intended uses and limitations
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This model was finetuned maximizing F1 score.
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## Evaluation results
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We evaluated the
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| Model |
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| roberta-large-bne-capitel-ner | **90.51** |
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| roberta-base-bne-capitel-ner | 89.60|
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</details>
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## Model description
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The **roberta-large-bne-capitel-ner** is a Named Entity Recognition (NER) model for the Spanish language fine-tuned from the [roberta-large-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne) model, a [RoBERTa](https://arxiv.org/abs/1907.11692) large model pre-trained using the largest Spanish corpus known to date, with a total of 570GB of clean and deduplicated text, processed for this work, compiled from the web crawlings performed by the [National Library of Spain (Biblioteca Nacional de España)](http://www.bne.es/en/Inicio/index.html) from 2009 to 2019.
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## Intended uses and limitations
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This model was finetuned maximizing F1 score.
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## Evaluation results
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We evaluated the **roberta-large-bne-capitel-ner** on the CAPITEL-NERC test set against standard multilingual and monolingual baselines:
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| Model | CAPITEL-NERC (F1) |
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| roberta-large-bne-capitel-ner | **90.51** |
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| roberta-base-bne-capitel-ner | 89.60|
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