ELECTRICIDAD: The Spanish Electra Imgur
ELECTRICIDAD is a small Electra like model (discriminator in this case) trained on a Large Spanish Corpus (aka BETO's corpus).
As mentioned in the original paper: 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. 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 dataset.
For a detailed description and experimental results, please refer the paper ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators.
Model details âš™
Param | # Value |
---|---|
Layers | \t12 |
Hidden | 256 \t |
Params | 14M |
Evaluation metrics (for discriminator) 🧾
Metric | # Score |
---|---|
Accuracy | 0.94 |
Precision | 0.76 |
AUC | 0.92 |
Benchmarks 🔨
WIP 🚧
How to use the discriminator in transformers
from transformers import ElectraForPreTraining, ElectraTokenizerFast
import torch
discriminator = ElectraForPreTraining.from_pretrained("mrm8488/electricidad-small-discriminator")
tokenizer = ElectraTokenizerFast.from_pretrained("mrm8488/electricidad-small-discriminator")
sentence = "el zorro rojo es muy rápido"
fake_sentence = "el zorro rojo es muy ser"
fake_tokens = tokenizer.tokenize(sentence)
fake_inputs = tokenizer.encode(sentence, return_tensors="pt")
discriminator_outputs = discriminator(fake_inputs)
predictions = torch.round((torch.sign(discriminator_outputs[0]) + 1) / 2)
[print("%7s" % token, end="") for token in fake_tokens]
[print("%7s" % int(prediction), end="") for prediction in predictions.tolist()[1:-1]]
# Output:
'''
el zorro rojo es muy ser 0 0 0 0 0 1[None, None, None, None, None, None]
'''
As you can see there is a 1 in the place where the model detected the fake token (ser). So, it works! 🎉
Electricidad-small fine-tuned models
Acknowledgments
I thank 🤗/transformers team for answering my doubts and Google for helping me with the TensorFlow Research Cloud program.
Citation
If you want to cite this model you can use this:
@misc{mromero2020electricidad-small-discriminator,
title={Spanish Electra (small) by Manuel Romero},
author={Romero, Manuel},
publisher={Hugging Face},
journal={Hugging Face Hub},
howpublished={\url{https://huggingface.co/mrm8488/electricidad-small-discriminator}},
year={2020}
}
Created by Manuel Romero/@mrm8488
Made with ♥ in Spain
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