vit-base-beans

christyli/vit-base-beans

vit-base-beans is a image classification model from christyli. 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: Oct 28, 2022
Updated: Oct 28, 2022
SHA: c3478d8e

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 an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3930
Accuracy: 0.9774

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: 64
eval_batch_size: 64
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	Validation Loss	Accuracy
1.0349	1.0	17	0.8167	0.9323
0.7502	2.0	34	0.6188	0.9699
0.5508	3.0	51	0.4856	0.9774
0.4956	4.0	68	0.4109	0.9774
0.4261	5.0	85	0.3930	0.9774

Framework versions

Transformers 4.22.0.dev0
Pytorch 1.12.1+cu102
Tokenizers 0.12.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Oct 28, 2022
Updated: Oct 28, 2022