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language: ti |
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- text: "ዓቕሚ ደቂኣንስትዮ [MASK] ብግብሪ ተራእዩ" |
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# BERT Base for Tigrinya Language |
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We pretrain a BERT base-uncased model for Tigrinya on a dataset of 40 million tokens trained for 40 epochs. |
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Contained in this repo is the original pretrained Flax model that was trained on a TPU v3.8 and it's corresponding PyTorch version. |
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## Hyperparameters |
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The hyperparameters corresponding to model sizes mentioned above are as follows: |
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| Model Size | L | AH | HS | FFN | P | Seq | |
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|------------|----|----|-----|------|------|------| |
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| BASE | 12 | 12 | 768 | 3072 | 110M | 512 | |
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(L = number of layers; AH = number of attention heads; HS = hidden size; FFN = feedforward network dimension; P = number of parameters; Seq = maximum sequence length.) |
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