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bert-large-uncased-whole-word-masking

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I would like to reproduce the bert-large-uncased-whole-word-masking model provided by huggingface. Could you please share more details on the experimental setup?

• Was this model trained from scratch or a fine-tuned version of bert-large-uncased but with wwm?
• How many epochs / steps, learning rate, batch size, number of gpus, etc.?
• There is this reference script but the example command uses wikitext dataset while bert was pre-trained on book corpus and english Wikipedia so I'm not sure how to reproduce these results.

Thank you :)