simple_food_model

SiddhantYadav/simple_food_model

simple_food_model is a image classification model from SiddhantYadav. 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

18% of all-time downloads

All-time downloads

Public

Parameters

85.9M

1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors344 MB · 100%

At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Oct 23, 2025
Updated: Oct 23, 2025
SHA: 46387889

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

simple_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: 1.6308
Accuracy: 0.884

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.7451	1.0	63	2.5719	0.81
1.8635	2.0	126	1.8289	0.857
1.5938	3.0	189	1.6308	0.884

Framework versions

Transformers 4.57.1
Pytorch 2.9.0
Datasets 4.2.0
Tokenizers 0.22.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Oct 23, 2025
Updated: Oct 23, 2025