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README.md
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@@ -14,6 +14,8 @@ 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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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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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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