my_awesome_food_model

StevenCole01/my_awesome_food_model

my_awesome_food_model is a image classification model from StevenCole01. 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 8, 2025
Updated: May 29, 2025
SHA: 7ce0f665

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

my_awesome_food_model

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: 2.3394
Accuracy: 0.827

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: 5e-05
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
3.4977	0.992	31	3.2405	0.749
2.6548	1.984	62	2.5386	0.822
2.3421	2.976	93	2.3394	0.827

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: May 8, 2025
Updated: May 29, 2025