Pre-Training Strategies for the BERT Model
Understand the pre-training strategies behind the BERT model, focusing on masked language modeling and next sentence prediction. Learn how BERT leverages bidirectional reading through auto-encoding language modeling to improve context comprehension and prediction accuracy. This lesson enables you to grasp the foundation of BERT's ability to model language effectively in NLP.
Now that we've learned how to feed the input to BERT by converting it into embeddings and also how to tokenize the input using a WordPiece tokenizer, let's learn how to pre-train the BERT model.
Pre-training strategies
The BERT model is pre-trained on the following two tasks:
Masked language modeling
Next sentence prediction
Let's understand how the two ...