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.
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answers
Pietro
Fri Mar 21 2025
Specifically designed for language modeling and text prediction tasks, this token serves as a placeholder.
benjamin_stokes_astronomer
Fri Mar 21 2025
Mask token ([MASK]) holds a unique position in the realm of machine learning and artificial intelligence.
Maria
Thu Mar 20 2025
In transformer-based models, the mask token plays a crucial role. It allows the model to predict missing words within a sentence.
BitcoinBaron
Thu Mar 20 2025
One notable example of such models is BERT (Bidirectional Encoder Representations from Transformers). BERT leverages the mask token to enhance its understanding of context and improve prediction accuracy.
Marco
Thu Mar 20 2025
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