How to Fine-Tune BERT with PyTorch and Transformers (MLM)

How to Fine-Tune BERT with PyTorch and Transformers (MLM)

BERT has enjoyed unparalleled success in NLP thanks to two unique training approaches, masked-language modeling (MLM), and next sentence prediction (NSP).In ...

https://youtu.be/R6hcxMMOrPE

BERT has enjoyed unparalleled success in NLP thanks to two unique training approaches, masked-language modeling (MLM), and next sentence prediction (NSP).

In many cases, we might be able to take the pre-trained BERT model out-of-the-box and apply it successfully to our own language tasks.

But often, we might need to fine-tune the model.

Further training with MLM allows us to fine-tune BERT to better understand the particular use of language in a more specific domain.

Out-of-the-box BERT - great for general purpose use. Fine-tuned with MLM BERT - great for domain-specific use.

In this video, we'll cover exactly how to fine-tune BERT models using MLM in PyTorch.

python data-science machine-learning nlp pytorch deep-learning

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