my_awesome_food_model

agonzalezba/my_awesome_food_model

my_awesome_food_model is a image classification model from agonzalezba. 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: Mar 20, 2026
Updated: Apr 24, 2026
SHA: 741460d5

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: 0.5189
Accuracy: 0.918

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0596	1.0	250	0.9971	0.917
0.5825	2.0	500	0.6207	0.901
0.4345	3.0	750	0.5189	0.918

Framework versions

Transformers 5.3.0
Pytorch 2.10.0
Datasets 4.7.0
Tokenizers 0.22.2

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Mar 20, 2026
Updated: Apr 24, 2026