vit-base-beans

liangy2/vit-base-beans

vit-base-beans is a image classification model from liangy2. 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: Aug 25, 2022
Updated: Aug 25, 2022
SHA: 9514c146

Datasets

beans

Model card

From the Hugging Face model README

vit-base-beans

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset. It achieves the following results on the evaluation set:

Accuracy: 0.9850
Loss: 0.0711

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
0.3303	1.0	130	0.9624	0.2543
0.1519	2.0	260	0.9850	0.1059
0.1879	3.0	390	0.9850	0.0908
0.1189	4.0	520	0.9850	0.0714
0.1095	5.0	650	0.9850	0.0711

Framework versions

Transformers 4.21.1
Pytorch 1.12.1+cu102
Datasets 2.4.0
Tokenizers 0.12.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Aug 25, 2022
Updated: Aug 25, 2022