Training BERT #1 - Masked-Language Modeling (MLM)
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BERT, everyone's favorite transformer costs Google ~$7K to train (and who knows how much in R&D costs). From there, we write a couple of lines of code to use the same model - all for free.
BERT has enjoyed unparalleled success in NLP thanks to two unique training approaches, masked-language modeling (MLM), and next sentence prediction (NSP).
MLM consists of giving BERT a sentence and optimizing the weights inside BERT to output the same sentence on the other side.
So we input a sentence and ask that BERT outputs the same sentence.
However, before we actually give BERT that input sentence - we mask a few tokens.
So we're actually inputting an incomplete sentence and asking BERT to complete it for us.
How to train BERT with MLM:
https://youtu.be/R6hcxMMOrPE
🤖 70% Discount on the NLP With Transformers in Python course:
https://bit.ly/3DFvvY5
Medium article:
https://towardsdatascience.com/masked-language-modelling-with-bert-7d49793e5d2c
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https://medium.com/@jamescalam/membership
📖 If membership is too expensive - here's a free link:
https://towardsdatascience.com/masked-language-modelling-with-bert-7d49793e5d2c?sk=17a19eca8dc8280bea4138802580ffe0
🤖 70% Discount on the NLP With Transformers in Python course:
https://www.udemy.com/course/nlp-with-transformers/?couponCode=MEDIUM3
🕹️ Free AI-Powered Code Refactoring with Sourcery:
https://sourcery.ai/?utm_source=YouTub&utm_campaign=JBriggs&utm_medium=aff
Видео Training BERT #1 - Masked-Language Modeling (MLM) канала James Briggs
https://www.pinecone.io/learn/nlp
BERT, everyone's favorite transformer costs Google ~$7K to train (and who knows how much in R&D costs). From there, we write a couple of lines of code to use the same model - all for free.
BERT has enjoyed unparalleled success in NLP thanks to two unique training approaches, masked-language modeling (MLM), and next sentence prediction (NSP).
MLM consists of giving BERT a sentence and optimizing the weights inside BERT to output the same sentence on the other side.
So we input a sentence and ask that BERT outputs the same sentence.
However, before we actually give BERT that input sentence - we mask a few tokens.
So we're actually inputting an incomplete sentence and asking BERT to complete it for us.
How to train BERT with MLM:
https://youtu.be/R6hcxMMOrPE
🤖 70% Discount on the NLP With Transformers in Python course:
https://bit.ly/3DFvvY5
Medium article:
https://towardsdatascience.com/masked-language-modelling-with-bert-7d49793e5d2c
🎉 Sign-up For New Articles Every Week on Medium!
https://medium.com/@jamescalam/membership
📖 If membership is too expensive - here's a free link:
https://towardsdatascience.com/masked-language-modelling-with-bert-7d49793e5d2c?sk=17a19eca8dc8280bea4138802580ffe0
🤖 70% Discount on the NLP With Transformers in Python course:
https://www.udemy.com/course/nlp-with-transformers/?couponCode=MEDIUM3
🕹️ Free AI-Powered Code Refactoring with Sourcery:
https://sourcery.ai/?utm_source=YouTub&utm_campaign=JBriggs&utm_medium=aff
Видео Training BERT #1 - Masked-Language Modeling (MLM) канала James Briggs
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