vit-base-patch16-224-finetuned-imageclds

NadaElmasry/vit-base-patch16-224-finetuned-imageclds

vit-base-patch16-224-finetuned-imageclds is a image classification model from NadaElmasry. 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: Apr 28, 2023
Updated: Apr 28, 2023
SHA: 5cf87748

Datasets

image_folder

Model card

From the Hugging Face model README

vit-base-patch16-224-finetuned-imageclds

This model is a fine-tuned version of google/vit-base-patch16-224 on the image_folder dataset. It achieves the following results on the evaluation set:

Loss: 0.0010
Accuracy: 0.9997

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0213	1.0	241	0.0067	0.9981
0.0251	2.0	482	0.0025	0.9994
0.0243	3.0	723	0.0146	0.9938
0.022	4.0	964	0.0010	0.9997
0.0206	5.0	1205	0.0019	0.9997

Framework versions

Transformers 4.27.4
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Apr 28, 2023
Updated: Apr 28, 2023