What is Language Modeling in transformers?

This recipe explains what is Language Modeling in transformers.

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Recipe Objective - What is Language Modeling in transformers?

The task of fitting a model to a corpus, which can be domain-specific, is known as language modeling. Language modeling versions, such as BERT with masked language modeling and GPT2 with causal language modeling, are used to train all popular transformers-based models.

Learn How to Build a Multi Class Text Classification Model using BERT  

Language modeling is also useful outside of pre-training, for example, to transform the model distribution in a specific domain: use a trained language model on a very large corpus and then fit it to data sets from news or scientific articles, such as LysandreJik / arxivnlp.

Types of Language Modeling:
1. Masked Language Modeling
2. Causal Language Modeling

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