Transformer Tune-up: Fine-tune BERT for State-of-the-art sentiment Analysis Using Hugging Face

Author(s): Courtlin Holt-Nguyen

Originally published on Towards AI.

BERT Transformer

Source: Image created by the author + Stable Diffusion (All Rights Reserved)

In the context of machine learning and NLP, a transformer is a deep learning model introduced in a paper titled “Attention is All You Need” by Vaswani et al. in 2017. The model was proposed as a way to improve the performance of translation systems.

The name “transformer” stems from its ability to transform one sequence (input text) into another sequence (output text) while incorporating the context of the input sequence at multiple levels. It was a groundbreaking model because it introduced the concept of ‘attention’, which allows the model… Read the full blog for free on Medium.

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Published via Towards AI