Tielectra Small

🚀 Pre-trained ELECTRA small for Tigrinya Language

This project pre-trains an ELECTRA small model on Tigrinya language data, aiming to provide a useful tool for Tigrinya language processing.

🚀 Quick Start

We pre-train ELECTRA small on the TLMD dataset, with over 40 million tokens. Contained are trained Flax and PyTorch models.

✨ Features

• Trained on a large Tigrinya dataset with over 40 million tokens.
• Provides both Flax and PyTorch trained models.

📚 Documentation

Hyperparameters

The hyperparameters corresponding to model sizes mentioned above are as follows:

(L = number of layers; AH = number of attention heads; HS = hidden size; FFN = feedforward network dimension; P = number of parameters; Seq = maximum sequence length.)

Framework versions

• Transformers 4.12.0.dev0
• Pytorch 1.9.0+cu111
• Datasets 1.13.3
• Tokenizers 0.10.3

📄 License

No license information provided in the original document, so this section is skipped.

📄 Citation

If you use this model in your product or research, please cite as follows:

@article{Fitsum2021TiPLMs,
  author={Fitsum Gaim and Wonsuk Yang and Jong C. Park},
  title={Monolingual Pre-trained Language Models for Tigrinya},
  year=2021,
  publisher={WiNLP 2021 at EMNLP 2021}
}