metadata
language: ti
widget:
- text: ዓቕሚ ደቀንስትዮ [MASK] ብግብሪ ተራእዩ
RoBERTa Pretrained for Tigrinya Language
We pretrain a RoBERTa base model for Tigrinya on a dataset of 40 million tokens trained for 40 epochs.
Contained in this repo are the original pretrained Flax model that was trained on a TPU v3.8 and it's correponding 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 | 125M | 128 |
(L = number of layers; AH = number of attention heads; HS = hidden size; FFN = feedforward network dimension; P = number of parameters; Seq = maximum sequence length.)