| language: es | |
| license: cc-by-4.0 | |
| tags: | |
| - spanish | |
| - roberta | |
| - ner | |
| This checkpoint has been trained for the NER task using the CoNLL2002-es dataset. | |
| This is a NER checkpoint 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)) |