mrm8488 commited on
Commit
164f4ea
1 Parent(s): 2ab6dd5

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -12,7 +12,7 @@ datasets:
12
 
13
  ## ELECTRICIDAD: The Spanish Electra [Imgur](https://imgur.com/uxAvBfh)
14
 
15
- **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).
16
 
17
  As mentioned in the original [paper](https://openreview.net/pdf?id=r1xMH1BtvB):
18
  **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.
 
12
 
13
  ## ELECTRICIDAD: The Spanish Electra [Imgur](https://imgur.com/uxAvBfh)
14
 
15
+ **ELECTRICIDAD** is a small Electra like model (discriminator in this case) trained on a [Large Spanish Corpus](https://github.com/josecannete/spanish-corpora) (aka BETO's corpus).
16
 
17
  As mentioned in the original [paper](https://openreview.net/pdf?id=r1xMH1BtvB):
18
  **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.