fgaim/tielectra-small

Pre-trained ELECTRA small for Tigrinya Language

We pre-train ELECTRA small on the TLMD dataset, with over 40 million tokens.

Contained are trained Flax and PyTorch models.

Hyperparameters

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

Model Size	L	AH	HS	FFN	P	Seq
SMALL	12	4	256	1024	14M	512

(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

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}
}