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Vit Base Patch16 224 In21k Wr
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Vit Base Patch16 224 In21k Wr

Developed by Imene
This model is a fine-tuned Vision Transformer based on google/vit-base-patch16-224-in21k on an unknown dataset, primarily used for image classification tasks.
Image Classification
Transformers
Open Source License:Apache-2.0#ViT fine-tuned model#High training accuracy#Image classification
Downloads 21
Release Time : 9/7/2022

Model Overview

This is an image classification model based on the Vision Transformer architecture, fine-tuned on an unknown dataset, suitable for general image recognition tasks.

Model Features

Fine-tuned based on pre-trained model
Fine-tuned on the google/vit-base-patch16-224-in21k pre-trained model, inheriting powerful image feature extraction capabilities
Mixed precision training
Trained using mixed_float16 precision, balancing training speed and model accuracy
Optimizer configuration
Uses AdamWeightDecay optimizer with PolynomialDecay learning rate scheduling, helping to stabilize the training process

Model Capabilities

Image classification
Feature extraction

Use Cases

Computer vision
General image classification
Can be used to classify common objects and scenes
Validation accuracy 57.7%, top-3 accuracy 80.35%
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