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--- |
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language: es |
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license: CC-BY 4.0 |
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tags: |
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- spanish |
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- roberta |
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pipeline_tag: fill-mask |
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widget: |
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- text: "Fui a la librería a comprar un <mask>." |
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--- |
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This is a **RoBERTa-base** model trained from scratch in Spanish. |
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The training dataset is [mc4](https://huggingface.co/datasets/bertin-project/mc4-es-sampled ) subsampling documents to a total of about 50 million examples. Sampling is random. |
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This model takes the one using [sequence length 128](https://huggingface.co/bertin-project/bertin-base-random) and trains during 25.000 steps using sequence length 512. |
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Please see our main [card](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) for more information. |
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This is part of the |
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[Flax/Jax Community Week](https://discuss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104), organised by [HuggingFace](https://huggingface.co/) and TPU usage sponsored by Google. |
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## Team members |
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- Eduardo González ([edugp](https://huggingface.co/edugp)) |
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- Javier de la Rosa ([versae](https://huggingface.co/versae)) |
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- Manu Romero ([mrm8488](https://huggingface.co/)) |
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- María Grandury ([mariagrandury](https://huggingface.co/)) |
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- Pablo González de Prado ([Pablogps](https://huggingface.co/Pablogps)) |
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- Paulo Villegas ([paulo](https://huggingface.co/paulo)) |
