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RoBERTa is an extension of BERT with changes to the pretraining procedure. The modifications include: training the model longer, with bigger batches, over more data removing the next sentence prediction objective training on longer sequences dynamically changing the masking pattern applied to the training data. The authors also collect a large new dataset ($\text{CC-News}$) of comparable size ...
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Apply now. RoBERTa (Robustly Optimized BERT pre-training Approach) is a NLP model and is the modified version (by Facebook) of the popular NLP model, BERT. It is more like an approach better train and optimize BERT (Bidirectional Encoder Representations from Transformers). Introduction of BERT led to the state-of-the-art results in the range of ...
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28 de jun. de 2021 · Through RoBERTA, we see this move to open source BERT has brought a drastic change to NLP. The study demonstrates how sufficiently pre-trained models lead to improvements with trivial tasks when ...
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