This project implements a multi-task learning model for multi-label text classification using BERT. It leverages techniques like early stopping, learning rate warm-up, and gradient accumulation to ...

In this example notebook, we explore how to create a multi-label text classifier, by fine-tuning and deploying SOTA models with Amazon SageMaker, the Hugging Face container, and the Amazon SageMaker ...

This paper developed an intelligent system application for the multi-label classification of pH levels. The pH is a measure of how acidic or how basic a substance is. The use of supervised learning ...

Patent classification is challenging and essential for any further patent analysis task. We tackle the classification task on lower level patent classification (subgroup level) by using AttentionXML.