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README.md
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# DistilBERT with word2vec token embeddings
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This model has a word2vec token embedding matrix with 256k entries. The word2vec was trained on 100GB data from C4, MSMARCO, News, Wikipedia, S2ORC, for 3 epochs.
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Then the model was trained on this dataset with MLM for 250k steps (batch size 64). The token embeddings were NOT updated.
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