
What is a mask token?
I'm trying to understand the concept of a mask token. Could someone explain what it is and how it's typically used in the context of natural language processing or machine learning?


What is mask token?
I'm trying to understand what a mask token is. I've heard it mentioned in the context of natural language processing and machine learning, but I'm not sure exactly what it means or how it's used.


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.


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.


How do I get a mask token?
I want to know how I can obtain a mask token. I'm looking for the steps or methods to acquire it.
