Gender-Classification Open-Source Gender Classification Model - Accurately Identify Gender with 100% Accuracy

Gender Classification

Developed by padmajabfrl

A gender classification model fine-tuned on distilbert-base-uncased, achieving an accuracy of 1.0 on the evaluation set

Downloads 39.68k

Release Time : 1/9/2023

Model Overview

This model is designed for text gender classification tasks, capable of determining gender attributes based on input text.

High Accuracy

Achieved an accuracy of 1.0 on the evaluation set

Lightweight Model

Based on the DistilBERT architecture, more lightweight than standard BERT models

Efficient Fine-tuning

Requires only 5 training epochs to achieve excellent performance

Text Classification

Gender Identification

User Analysis

Social Media User Gender Analysis

Analyze the gender distribution of social media users

Market Research

Consumer Gender Preference Analysis

Analyze gender preferences based on consumer reviews

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0035	1.0	4390	0.0004	1.0000
0.0005	2.0	8780	0.0002	1.0000
0.0	3.0	13170	0.0000	1.0
0.0	4.0	17560	0.0000	1.0
0.0	5.0	21950	0.0000	1.0

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