# Requirement Classification

This model is a fine-tuned BERT-uncased model for functional/non-functional requirement prediction, trained on AWS g5 instances using the PROMISE dataset and custom data, achieving an overall accuracy of 97%.

A software requirement classification model fine-tuned on sentence-transformers/all-MiniLM-L6-v2, designed to distinguish between functional (F) and non-functional (NF) requirements

This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the Software Requirements Dataset (SWARD) for classifying 19 types of non-functional requirements.