readme: # DistilBERT with 256k token embeddings
  
  This model was initialized with a word2vec token embedding matrix with 256k entries, but these token embeddings were updated during MLM. The word2vec was trained on 100GB data from C4, MSMARCO, News, Wikipedia, S2ORC, for 3 epochs.
  
  Then the model was trained on this dataset with MLM for 1.55M steps (batch size 64). The token embeddings were updated during MLM.
  
  