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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 384 (half the hidden size of BERT) and 6 attention heads (hence the same head size of BERT).
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 The weights of the model were initialized by pruning the weights of bert-base-uncased.
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 A knowledge distillation was performed using multiple loss functions to fine-tune the model.
 
 PS : the tokenizer is the same as the one of the model bert-base-uncased.