Update README.md

README.md

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 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 250k steps (batch size 64). The token embeddings were updated during MLM.
+Then the model was trained on this dataset with MLM for 750k steps (batch size 64). The token embeddings were updated during MLM.
+
+For the same model but with frozen token embeddings while MLM training see: https://huggingface.co/vocab-transformers/distilbert-word2vec_256k-MLM_750k