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Roberta Base Stress Classification

Developed by dstefa
A stress classification model fine-tuned based on roberta-base, used to identify stress-related content in employee reviews.
Downloads 20
Release Time : 1/23/2024

Model Overview

This model was fine-tuned on 100,000 Glassdoor employee reviews, specifically designed to classify whether text contains work-related stress content.

Model Features

High Accuracy
Achieves 96.47% accuracy and F1 score on the evaluation set.
Domain-Specific Optimization
Fine-tuned specifically for employee review data, suitable for workplace stress identification.
Efficient Training
Requires only 5 training epochs to achieve excellent performance.

Model Capabilities

Text Classification
Stress Content Identification
Employee Review Analysis

Use Cases

Human Resource Management
Employee Satisfaction Analysis
Analyze stress content in employee reviews to assess work environment.
Accurately identifies over 96% of stress-related reviews.
Workplace Stress Monitoring
Automatically monitor stress signals in employee feedback.
Helps HR departments identify potential issues in a timely manner.
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