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vocab-transformers/msmarco-distilbert-word2vec256k-MLM_230k
msmarco-distilbert-word2vec256k-MLM_230k 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 is based on nicoladecao/msmarco-word2vec256000-distilbert-base-uncased with a 256k sized vocabulary initialized with word2vec.
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From the Hugging Face model README
This model is based on nicoladecao/msmarco-word2vec256000-distilbert-base-uncased with a 256k sized vocabulary initialized with word2vec.
This model has been trained with MLM on the MS MARCO corpus collection for 230k steps. See train_mlm.py for the train script. It was run on 2x V100 GPUs. The word embedding matrix was frozen.