finetuned-food

AkshilShah21/finetuned-food

finetuned-food is a image classification model from AkshilShah21. 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

423

Public

Repo size

687 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin343 MB · 100%

At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Feb 19, 2024
Updated: Feb 19, 2024
SHA: 0df99db8

Base models

google/vit-base-patch16-224-in21k

Datasets

imagefolder

Model card

From the Hugging Face model README

finetuned-food

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

Loss: 0.2816
Accuracy: 0.9282

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: 15
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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8456	0.39	500	0.8593	0.7634
0.7824	0.78	1000	0.6625	0.8172
0.4806	1.18	1500	0.4951	0.8618
0.6206	1.57	2000	0.4434	0.88
0.5096	1.96	2500	0.4937	0.8683
0.4576	2.35	3000	0.4060	0.8907
0.3284	2.75	3500	0.3414	0.9081
0.2022	3.14	4000	0.3330	0.9118
0.1332	3.53	4500	0.3043	0.9208
0.1821	3.92	5000	0.2816	0.9282

Framework versions

Transformers 4.32.1
Pytorch 2.2.0.post100
Datasets 2.12.0
Tokenizers 0.13.2

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Feb 19, 2024
Updated: Feb 19, 2024