readme: ---
  language: es
  tags:
   - Spanish
   - Electra
   - Legal
  datasets:
   - Spanish-legal-corpora
  ---
  ## LEGALECTRA ⚖️
  **LEGALECTRA** (base) is an Electra like model (discriminator in this case) trained on [A collection of corpora of Spanish legal domain](https://zenodo.org/record/5495529#.YZItp3vMLJw).
  As mentioned in the original [paper](https://openreview.net/pdf?id=r1xMH1BtvB):
  **ELECTRA** is a new method for self-supervised language representation learning. It can be used to pre-train transformer networks using relatively little compute. ELECTRA models are trained to distinguish "real" input tokens vs "fake" input tokens generated by another neural network, similar to the discriminator of a [GAN](https://arxiv.org/pdf/1406.2661.pdf). At small scale, ELECTRA achieves strong results even when trained on a single GPU. At large scale, ELECTRA achieves state-of-the-art results on the [SQuAD 2.0](https://rajpurkar.github.io/SQuAD-explorer/) dataset.
  For a detailed description and experimental results, please refer the paper [ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators](https://openreview.net/pdf?id=r1xMH1BtvB).
  ## Training details
  TBA
  ## Model details ⚙
  |Name| # Value|
  |-----|--------|
  |Layers| 12 |
  |Hidden | 768 |
  |Params| 110M |
  ## Evaluation metrics (for discriminator) 🧾
  |Metric | # Score |
  |-------|---------|
  |Accuracy| 0.941|
  |AUC | 0.794|
  |Precision| |
  ## Benchmarks 🔨
  WIP 🚧
  ## How to use the discriminator in `transformers`
  TBA
  ## Acknowledgments
  TBA
  > Created by [Manuel Romero/@mrm8488](https://twitter.com/mrm8488)
  > Made with <span style="color: #e25555;">&hearts;</span> in Spain