| | --- |
| | language: |
| | - es |
| |
|
| | widget: |
| | - text: "MMG se dedica a la <mask> artificial." |
| |
|
| | --- |
| | |
| | # mlm-spanish-roberta-base |
| |
|
| | This model has a RoBERTa base architecture and was trained from scratch with 3.6 GB of raw text over 10 epochs. 4 Tesla V-100 GPUs were used for the training. |
| |
|
| | To test the quality of the resulting model we evaluate it over the [GLUES](https://github.com/dccuchile/GLUES) benchmark for Spanish NLU. The results are the following: |
| |
|
| | | Task | Score (metric) | |
| | |:-----------------------:|:---------------------:| |
| | | XNLI | 71.99 (accuracy) | |
| | | Paraphrasing | 74.85 (accuracy) | |
| | | NER | 85.34 (F1) | |
| | | POS | 97.49 (accuracy) | |
| | | Dependency Parsing | 85.14/81.08 (UAS/LAS) | |
| | | Document Classification | 93.00 (accuracy) | |
| |
|
