Bert: When pretraining, what was the accuracy of the masked-LM task?

Created on 11 Feb 2019  路  4Comments  路  Source: google-research/bert

When pretraining, what was the accuracy of the masked-LM task?

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+1, I have the same question.

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+1, I have the same question.

+1, I have the same question.

May we can reference this? (I found this in the README.md)
So the accuracy is 0.985479?

Eval results
global_step = 20
loss = 0.0979674
masked_lm_accuracy = 0.985479
masked_lm_loss = 0.0979328
next_sentence_accuracy = 1.0
next_sentence_loss = 3.45724e-05

That refers to training on ~30 sentences: "Note that since our sample_text.txt file is very small, this example training will overfit that data in only a few steps and produce unrealistically high accuracy numbers."

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