readme: ---
  language: ti
  widget:
  - text: "ዓቕሚ ደቂኣንስትዮ [MASK] ብግብሪ ተራእዩ"
  ---
  
  # BERT Base for Tigrinya Language
  
  We pre-train a BERT base-uncased model for Tigrinya on a dataset of 40 million tokens trained for 40 epochs.
  
  This repo contains the original pre-trained Flax model that was trained on a TPU v3.8 and its corresponding PyTorch version.
  
  ## Hyperparameters
  
  The hyperparameters corresponding to the model sizes mentioned above are as follows:
  
  | Model Size | L  | AH | HS  | FFN  | P    | Seq  |
  |------------|----|----|-----|------|------|------|
  | BASE       | 12 | 12 | 768 | 3072 | 110M | 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.)
  
  
  ## 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}
  }
  ```
  