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README.md

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+# BERT Base for Tigrinya Language
+
+We pretrain a BERT base-uncased model on a relatively small dataset for Tigrinya (34M tokens) for 40 epochs.
+
+Contained in this card is a PyTorch model exported from the original model that was trained on a TPU v3.8 with Flax.
+
+
+## Hyperparameters
+
+The hyperparameters corresponding to model sizes mentioned above are as follows:
+
+| Model Size | L  | AH | HS  | FFN  | P    |
+|------------|----|----|-----|------|------|
+| BASE       | 12 | 12 | 768 | 3072 | 110M |
+
+(L = number of layers; AH = number of attention heads; HS = hidden size; FFN = feedforward network dimension; P = number of parameters.)
+
+