---
language: ti
widget:
- text: "ዓቕሚ መንእሰይ ኤርትራ [MASK] ተራእዩ"
---

# Pre-trained ELECTRA small for Tigrinya Language

We pre-train ELECTRA small on the [TLMD](https://zenodo.org/record/5139094) 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}
}
```