learn_hf_food_not_food_text_classifier Open-source Text Classification Model - Easily Distinguish Food and Non-food Texts

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Learn Hf Food Not Food Text Classifier Distilbert Base Uncased

Developed by HimanshuGoyal2004

A DistilBERT-based text classification model for distinguishing between food and non-food texts

Text Classification

Transformers

Open Source License:Apache-2.0 #Food Text Classification #High Accuracy #Distilled BERT

Downloads 70

Release Time : 3/28/2025

Model Overview

This model is a fine-tuned text classifier based on the DistilBERT architecture, specifically designed to identify whether text content is related to food. It performs exceptionally well on the evaluation set, achieving 100% accuracy.

Model Features

Efficient and Lightweight

Based on the DistilBERT architecture, it reduces model size and computational requirements while maintaining performance.

High Accuracy

Achieved 100% classification accuracy on the evaluation set.

Fast Training

Requires only 10 training epochs to achieve excellent performance.

Model Capabilities

Text Classification

Food-related Text Recognition

Use Cases

Food Industry

Food Review Classification

Automatically identify whether user reviews are related to food

Accurately distinguishes between food and non-food reviews

Social Media Content Filtering

Filter food-related posts from social media

Efficiently identifies food-related content

Market Research

Food Trend Analysis

Extract food-related discussions from large text datasets

Helps identify emerging food trends

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4297	1.0	7	0.0955	1.0
0.0542	2.0	14	0.0083	1.0
0.0059	3.0	21	0.0025	1.0
0.0021	4.0	28	0.0012	1.0
0.0012	5.0	35	0.0008	1.0
0.0009	6.0	42	0.0007	1.0
0.0007	7.0	49	0.0006	1.0
0.0006	8.0	56	0.0005	1.0
0.0006	9.0	63	0.0005	1.0
0.0006	10.0	70	0.0005	1.0

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Learn Hf Food Not Food Text Classifier Distilbert Base Uncased

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 learn_hf_food_not_food_text_classifier-distilbert-base-uncased

🚀 Quick Start

📚 Documentation

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

📄 License