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bert-large-uncased-whole-word-masking-finetuned-squad

A whole word masking model finetuned on SQuAD is a transformer-based language model pretrained on a large corpus of English data. The model was trained using a masked language modeling objective, where 15% of the tokens in a sentence were randomly masked, and the model had to predict the missing tokens. The model was also fine-tuned on the SQuAD dataset for question answering tasks, achieving high scores on both F1 and exact match metrics.

A whole word masking model finetuned on SQuAD is a transformer-based language model pretrained on a large corpus of English data. The model was trained using a masked language modeling objective, where 15% of the tokens in a sentence were randomly masked, and the model had to predict the missing tokens. The model was also fine-tuned on the SQuAD dataset for question answering tasks, achieving high scores on both F1 and exact match metrics.

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242d9dbb66bb5033025196d5678907307f8fb098

2023-03-03T03:43:34+00:00


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