
This is a **RoBERTa-base** model trained from scratch in Spanish.

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 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 model has been trained for 250.000 steps.

Please see our main [card](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) for more information.

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))
{"language": "es", "license": "cc-by-4.0", "tags": ["spanish", "roberta"], "pipeline_tag": "fill-mask", "widget": [{"text": "Fui a la librer\u00eda a comprar un <mask>."}]}
transformers pytorch jax tensorboard joblib roberta fill-mask spanish es license:cc-by-4.0 autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #jax #tensorboard #joblib #roberta #fill-mask #spanish #es #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 


This is a RoBERTa-base model trained from scratch in Spanish.

The training dataset is mc4 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 model has been trained for 250.000 steps.

Please see our main card for more information.

This is part of the
Flax/Jax Community Week, organised by HuggingFace and TPU usage sponsored by Google.


## Team members

- Eduardo González (edugp)
- Javier de la Rosa (versae)
- Manu Romero (mrm8488)
- María Grandury (mariagrandury)
- Pablo González de Prado (Pablogps)
- Paulo Villegas (paulo)
## Team members

- Eduardo González (edugp)
- Javier de la Rosa (versae)
- Manu Romero (mrm8488)
- María Grandury (mariagrandury)
- Pablo González de Prado (Pablogps)
- Paulo Villegas (paulo)
TAGS
#transformers #pytorch #jax #tensorboard #joblib #roberta #fill-mask #spanish #es #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
 ## Team members

- Eduardo González (edugp)
- Javier de la Rosa (versae)
- Manu Romero (mrm8488)
- María Grandury (mariagrandury)
- Pablo González de Prado (Pablogps)
- Paulo Villegas (paulo)
passage: TAGS
#transformers #pytorch #jax #tensorboard #joblib #roberta #fill-mask #spanish #es #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us 
## Team members

- Eduardo González (edugp)
- Javier de la Rosa (versae)
- Manu Romero (mrm8488)
- María Grandury (mariagrandury)
- Pablo González de Prado (Pablogps)
- Paulo Villegas (paulo)