Vit-base-patch16-224 Open-source Image Classification Model - Achieve 95.02% Image Classification Accuracy with Free Deployment

Vit Base Patch16 224 Finetuned Imageclassification

Developed by thaonguyen274

Image classification model fine-tuned on image folder dataset based on Google's ViT model, achieving 95.02% accuracy

Downloads 13

Release Time : 11/6/2022

Model Overview

This model is an image classification model based on the Vision Transformer (ViT) architecture, fine-tuned for specific image classification tasks

High Accuracy

Achieves 95.02% classification accuracy on the evaluation set

Based on ViT Architecture

Adopts Vision Transformer architecture, suitable for image processing tasks

Fine-tuned Model

Fine-tuned on specific image datasets to meet specific classification needs

Image Classification

Visual Feature Extraction

Computer Vision

General Image Classification

Classify and recognize images

95.02% accuracy

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	9	0.5791	0.9004
1.4122	2.0	18	0.2002	0.9359
0.3147	3.0	27	0.1717	0.9502
0.1907	4.0	36	0.1632	0.9466
0.158	5.0	45	0.1822	0.9466
0.1169	6.0	54	0.1778	0.9502
0.0984	7.0	63	0.1552	0.9573
0.0971	8.0	72	0.1835	0.9502
0.0965	9.0	81	0.1878	0.9484
0.0766	10.0	90	0.1790	0.9502

Property	Details
Model Type	vit-base-patch16-224-finetuned-imageclassification
Training Data	imagefolder
Metrics	accuracy

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