AIbase
EN
Home
BERT FR NFR Classifier
B

BERT FR NFR Classifier

Developed by Chumafly
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%.
Text Classification
Safetensors
 EnglishOpen Source License:Apache-2.0#Requirement Classification#High-Precision Text Analysis#Systems Engineering Applications
Downloads 80
Release Time : 5/13/2025

Model Overview

Designed for text classification tasks, specifically for predicting functional/non-functional requirements in systems engineering.

Model Features

High Accuracy
Achieves 97% accuracy in functional/non-functional requirement prediction tasks.
BERT Fine-Tuning
Uses google-bert/bert-base-uncased as the base model for fine-tuning.
Optimized for Systems Engineering
Specially optimized for text classification tasks in systems engineering.

Model Capabilities

Text Classification
Functional Requirement Identification
Non-Functional Requirement Identification
Systems Engineering Text Analysis

Use Cases

Software Engineering
Requirement Document Classification
Automatically identifies functional and non-functional requirements in requirement documents.
97% classification accuracy
Project Management
Requirement Prioritization
Assists in project prioritization through requirement classification.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase