metadata
language: ti
widget:
- text: ዓቕሚ ደቂኣንስትዮ [MASK] ብግብሪ ተራእዩ
BERT Base for Tigrinya Language
We pretrain a BERT base-uncased model for Tigrinya on a dataset of 40 million tokens trained for 40 epochs.
Contained in this repo is the original pretrained Flax model that was trained on a TPU v3.8 and it's corresponding PyTorch version.
Hyperparameters
The hyperparameters corresponding to 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.)