vit_google_vehicle_classification_model

Tianmu28/vit_google_vehicle_classification_model

vit_google_vehicle_classification_model is a image classification model from Tianmu28. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Nov 9, 2024
Updated: Nov 9, 2024
SHA: 5a2a3d54

Base models

google/vit-base-patch16-224

Model card

From the Hugging Face model README

vehicle_classification

This model is a fine-tuned version of google/vit-base-patch16-224 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0269
Accuracy: 0.9917

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0356	1.0	245	0.0432	0.9869
0.0036	2.0	490	0.0403	0.9869
0.0004	3.0	735	0.0275	0.9905
0.0002	4.0	980	0.0260	0.9917
0.0002	5.0	1225	0.0261	0.9917
0.0001	6.0	1470	0.0264	0.9917
0.0001	7.0	1715	0.0267	0.9917
0.0001	8.0	1960	0.0269	0.9917

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Nov 9, 2024
Updated: Nov 9, 2024