bert
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chooses 15% of token
From paper, it mentioned
Instead, the training data generator chooses 15% of tokens at random, e.g., in the sentence my
dog is hairy it chooses hairy.
It means that 15% of token will be choose for sure.
From https://github.com/codertimo/BERT-pytorch/blob/master/bert_pytorch/dataset/dataset.py#L68,
for every single token, it has 15% of chance that go though the followup procedure.
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Is your feature request related to a problem? Please describe.
To follow up on deepset-ai/haystack#664 ("Build simple Streamlit UI #664"): it would be great to have an option to upload files to the DocumentStore using the UI.
Describe the solution you'd like
Current UI allows the user to do a query against "some indexed Game of Thrones articles." The orig
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训练数据集问题
你好,看代码使用的训练数据为Restaurants_Train.xml.seg,请问这是这是在哪里下载的吗,还是semeval14的任务4中xml文件生成的?如果是后续生成的,请问有数据生成部分的代码吗?
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This is an intermediate issue, which is why it gets both the good first issue and good second issue tags.
We have an automated script to check when copies of the same code are consistent inside the library, which allows us to avoid subclassing and keep all code for one model's forward pass inside one file (see our philosophy for more details on this).
The XxxModelForYyy are very similar