vit-food101

elvispresniy/vit-food101

vit-food101 is a image classification model from elvispresniy. 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 1, 2024
Updated: Aug 1, 2024
SHA: 13e52330

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

vit-food101

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: 0.4925
Accuracy: 0.899

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: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.682	0.6369	100	2.5501	0.802
1.312	1.2739	200	1.3870	0.855
0.7605	1.9108	300	0.9167	0.862
0.3844	2.5478	400	0.6248	0.88
0.1957	3.1847	500	0.5220	0.896
0.1756	3.8217	600	0.4925	0.899

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Aug 1, 2024
Updated: Aug 1, 2024