vit-base-patch16-224-v23

pphildan/vit-base-patch16-224-v23

vit-base-patch16-224-v23 is a image classification model from pphildan. 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 20, 2023
Updated: May 20, 2023
SHA: 9ed1bee8

Model card

From the Hugging Face model README

vit-base-patch16-224-v23

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

Loss: 0.0692
Accuracy: 0.9770

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: 0.0005
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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1353	1.0	190	0.1414	0.9511
0.0729	2.0	380	0.0934	0.9685
0.0325	3.0	570	0.0692	0.9770

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: May 20, 2023
Updated: May 20, 2023