KDramaLegendaryStarlight
Wed Mar 19 2025
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5 answers
1108
What is the mask token in BERT?
The mask token in BERT is a special token used during the pre-training phase. It randomly replaces a portion of the input text, typically 15%, and the model is then trained to predict these masked words based on the surrounding context. This strategy helps the model learn to infer missing words, enhancing its performance in downstream NLP tasks.
ZenMind
Tue Mar 18 2025
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5 answers
1102
What is mask token in BERT?
The mask token in BERT is a special token used to replace a certain percentage of words in the input text during the pre-training phase. This strategy aims to help the model learn to infer the masked words based on the context, thus improving its performance on downstream tasks. Typically, 15% of the tokens are chosen for masking, with 80% of those replaced by the [MASK] token, 10% replaced by random tokens, and the remaining 10% kept unchanged.
Dario
Thu Nov 21 2024
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12 answers
2471
What is CLS and SEP in BERT?
I'm trying to understand BERT, a popular NLP model. Specifically, I want to know more about CLS and SEP, which are special tokens used in BERT. What do these tokens represent and what role do they play in the model?
DavidJohnson
Fri Oct 18 2024
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7 answers
1654
What is a token Bert?
I'm trying to understand the concept of a token in the context of BERT. Could someone explain what a token is, specifically within the framework of BERT?
KpopStarletShine
Mon Sep 30 2024
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5 answers
861
What is BERT masking?
Excuse me, could you please explain what BERT masking is? I've heard it mentioned in the context of natural language processing and machine learning, but I'm not entirely clear on the concept. Is it a specific technique used in BERT models, or is it a broader concept that applies to other types of algorithms as well? I'd appreciate it if you could provide a concise yet informative explanation that helps me understand the basics of BERT masking.
