vit-base-patch16-224-30-vit

pk3388/vit-base-patch16-224-30-vit

vit-base-patch16-224-30-vit is a image classification model from pk3388. 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: May 21, 2024
Updated: May 21, 2024
SHA: e7994fcb

Base models

google/vit-base-patch16-224

Datasets

imagefolder

Model card

From the Hugging Face model README

vit-base-patch16-224-30-vit

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

Loss: 0.3414
Accuracy: 0.95

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: 0.0002
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.5714	1	1.5740	0.35
No log	1.7143	3	1.3520	0.3
No log	2.8571	5	0.6814	0.85
No log	4.0	7	0.4114	0.95
No log	4.5714	8	0.3727	0.95
0.8372	5.7143	10	0.3414	0.95

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: May 21, 2024
Updated: May 21, 2024