BERT base vs BERT large

BERT (Bidirectional Encoder Representations from Transformers) is a recent paper published by researchers at Google AI Language. It is pre-trained on huge, unlabeled text data (without any genuine training objective). BERT makes use of Transformer, an attention mechanism that learns contextual relations between words (or sub-words) in a text.

To get the indepth understanding of BERT model, please go ahead on this link which will help you understand it in depth.

BERT base vs BERT large

BERT is b...