Fine-Tuning for Domain Adaptation in NLP

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Introduction

Often when we want to solve an NLP problem, we use pre-trained language models, obviously being careful to choose the most appropriate model that has been fine-tuned on the language of our interest.
For example, if I’m working on a project that is based on the Italian language I will use models such as dbmdz/bert-base-italian-xxl-cased or dbmdz/bert-base-italian-xxl-uncased.
These language models usually work …

data engineering data science deep learning domain adaptation fine-tuning machine learning nlp