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==== Free Course & Notebook ==== The notebook and a video course version of this tutorial are available for FREE on my website, here: https://www.chrismccormick.ai/offers/... Learn how to fine-tune BERT for document classification. We'll be using the Wikipedia Personal Attacks benchmark as our example. Bonus - In Part 3, we'll also look briefly at how we can apply BERT to search for "semantically similar" comments in the dataset. ==== Pre-reqs ==== This tutorial builds on my “BERT Fine-Tuning Tutorial with PyTorch”. If you want to know more of the basics of fine-tuning BERT, check it out! Video: • BERT Research - Ep. 3 - Fine Tuning - p.1 Free Notebook: https://colab.research.google.com/dri... ==== References ==== Here are the links for the dataset (these are also provided in my notebook): wikimedia page describing the dataset: https://figshare.com/articles/Wikiped... Dataset download page on figshare.com for the personal attack comments: https://figshare.com/articles/Wikiped... Example notebook (from the authors) for getting started with the dataset: https://github.com/ewulczyn/wiki-deto... ==== Updates ==== Sign up to hear about new content across my blog and channel! https://www.chrismccormick.ai/subscribe