Update README

README.md

@@ -8,7 +8,7 @@ widget:
 
 We pretrain a BERT base-uncased 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.
+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
 
@@ -16,6 +16,6 @@ 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 | 128  |
+| 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.)