What is the BERT training process?

What is the BERT training process?

The BERT training process involves pre-training on a large corpus of text and then fine-tuning on specific tasks.

How does pre-training differ from fine-tuning?

Pre-training is about learning general language representations, while fine-tuning adapts the model to specific tasks.

What kind of data is used for pre-training?

BERT is typically pre-trained on a large dataset like Wikipedia and the BookCorpus, which contain diverse text.

How long does the training process take?

The training duration can vary, but it often takes several days to weeks depending on the hardware and dataset size.

Can BERT be used for multiple languages?

Yes, there are multilingual versions of BERT that can handle multiple languages effectively.