Update README

README.md

@@ -1,15 +1,18 @@
 # RoBERTa Pretrained for Tigrinya Language
 
-We pretrain RoBERTa base on a relatively small dataset for Tigrinya (34M tokens).
+We pretrain a RoBERTa Base model on a relatively small dataset for Tigrinya (34M tokens) for 18 epochs.
+
+Contained in this card is a PyTorch model exported from the original model that was trained on 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 | 125M |
 
-(AH = number of attention heads; HS = hidden size; FFN = feedforward network dimension; P = number of parameters.)
+(L = number of layers; AH = number of attention heads; HS = hidden size; FFN = feedforward network dimension; P = number of parameters.)