Create README.md

README.md

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+---
+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 ⚙
+|Param| # Value|
+|-----|--------|
+|Layers| 12 |
+|Hidden | 256 |
+|Params| 14M |
+## 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