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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 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 continued training from [sequence length 128](https://huggingface.co/bertin-project/bertin-base-random) using 20.000 steps for 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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