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vocab-transformers/distilbert-word2vec_256k-MLM_500k
distilbert-word2vec_256k-MLM_500k is a fill-mask model from vocab-transformers. Use it when you need the model to fill a missing word. It is set up for transformers.
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.
Downloads · 30 days
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.npy1.6 GB · 62%
From the Hugging Face model README
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.
Then the model was trained on this dataset with MLM for 500k steps (batch size 64). The token embeddings were NOT updated.