Update README.md

README.md

@@ -1,13 +1,18 @@
 ---
 language: es
 thumbnail: https://i.imgur.com/uxAvBfh.png
+tags:
+ - Spanish
+ - Electra
 
+datasets:
+ - large_spanish_corpus
 
 ---
 
 ## ELECTRICIDAD: The Spanish Electra [Imgur](https://imgur.com/uxAvBfh)
 
-**ELECTRICIDAD** is a small Electra like model (discriminator in this case) trained on a + 20 GB of  the [OSCAR](https://oscar-corpus.com/) Spanish corpus.
+**ELECTRICIDAD** is a small Electra like model (discriminator in this case) trained on on a [Large Spanish Corpus](https://github.com/josecannete/spanish-corpora) (aka BETO's corpus).
 
 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.
@@ -18,8 +23,8 @@ For a detailed description and experimental results, please refer the paper [ELE
 
 |Param| # Value|
 |-----|--------|
-|Layers|	12   |
-|Hidden |256 	|
+|Layers|\t12   |
+|Hidden |256 \t|
 |Params| 14M|
 
 ## Evaluation metrics (for discriminator) 🧾