April 27, 2023, 7:36 a.m. | Chris Mauck

Towards Data Science - Medium towardsdatascience.com

Boost Transformer model performance with Active Learning assisted data labeling

ActiveLab chooses which data you should (re)label to train a more effective model. Given the same labeling budget, ActiveLab outperforms other selection methods.

In this article, I highlight the use of active learning to improve a fine-tuned Transformer model for text classification, while keeping the total number of collected labels from human annotators low. When resource constraints prevent you from acquiring labels for the entirety of your data, active learning …

active learning article boost budget classification constraints data data-centric-ai data science examples highlight human labeling labels low machine learning money performance save text text classification transformer transformer model transformers

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