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README.md

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 This model was pretrained on the bookcorpus dataset using knowledge distillation.
 
-The particularity of this model is that even though it shares the same architecture as BERT, it has a hidden size of 240. Since it has 12 attention heads, the head size (20) is different from the one of the BERT base model (64).
+The particularity of this model is that even though it shares the same architecture as BERT, it has a hidden size of 256. Since it has 4 attention heads, the head size is 64 just as for the BERT base model.
 
 The knowledge distillation was performed using multiple loss functions.