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Learn Hf Food Not Food Text Classifier Distilbert Base Uncased

Developed by mrdbourke
This is a text classification model fine-tuned on DistilBERT-base-uncased for distinguishing between food and non-food text content.
Downloads 238
Release Time : 6/13/2024

Model Overview

This model is a text classifier fine-tuned on DistilBERT-base-uncased, specifically designed to identify whether text content is related to food. It achieved 100% accuracy on the evaluation set.

Model Features

High Accuracy
Achieved 100% classification accuracy on the evaluation set
Lightweight Model
Based on DistilBERT architecture, smaller and faster than standard BERT models
Efficient Training
Requires only 10 training epochs to achieve excellent performance

Model Capabilities

Text Classification
Food-related Text Recognition
Short Text Analysis

Use Cases

Content Classification
Food Review Classification
Automatically identify whether user reviews are related to food
100% accuracy
Social Media Content Filtering
Filter food-related posts on social media
E-commerce
Product Description Classification
Automatically distinguish between food and non-food product descriptions
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