readme: ---
  language: es
  license: cc-by-4.0
  tags:
  - spanish
  - roberta
  - xnli
  ---
  
  This checkpoint has been trained for the XNLI dataset.
  
  This checkpoint was 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](https://huggingface.co/bertin-project/bertin-base-gaussian-exp-512seqlen) and at deeper detail on [the main project card](https://huggingface.co/bertin-project/bertin-roberta-base-spanish). 
  
  The training dataset for the base model is [mc4](https://huggingface.co/datasets/bertin-project/mc4-es-sampled ) 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](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.
  
  
  ## Team members
  
  - Eduardo González ([edugp](https://huggingface.co/edugp))
  - Javier de la Rosa ([versae](https://huggingface.co/versae))
  - Manu Romero ([mrm8488](https://huggingface.co/))
  - María Grandury ([mariagrandury](https://huggingface.co/))
  - Pablo González de Prado ([Pablogps](https://huggingface.co/Pablogps))
  - Paulo Villegas ([paulo](https://huggingface.co/paulo))