Fine Tuning BERT 🤗 using Masked Language Modelling 🔥

Hello, In this tutorial, we are going to fine-tune or pre-train our BERT model (from the huggingface 🤗 transformers) using a famous technique - MLM aka Masked Language Modelling.
This approach is basically used when we want to achieve high accuracy on a particular unique type of dataset/usecase. So the idea here is, fine-tune BERT using MLM technique on unique dataset so that BERT understands the data more accurately and extracts meaningful encodings and then perform any particular task on the same type of dataset like sentiment analysis, text classification, Named Entity Recognition, question and answering etc.


My website: https://bugspeed.xyz
Code: https://github.com/yash-007/NLP-with-...

official documentation: https://huggingface.co/course/chapter...

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