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View a pdf of the paper titled bert

A review of applications in natural language processing and understanding, by m We present a replication study of bert pretraining (devlin et al., 2019) that carefully measures the impact of many key hyperparameters and training data size We find that bert was significantly undertrained, and can match or exceed the performance of every model published after it. B idirectional e ncoder r epresentations from t ransformers

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