my_awesome_food_model

Sa3ed99/my_awesome_food_model

my_awesome_food_model is a image classification model from Sa3ed99. 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 13, 2024
Updated: May 14, 2024
SHA: a88d37a9

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: 0.4788
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2354	0.992	62	1.2067	0.913
0.8106	2.0	125	0.8617	0.917
0.6279	2.992	187	0.6817	0.915
0.5143	4.0	250	0.5720	0.92
0.4102	4.992	312	0.4917	0.935
0.3593	6.0	375	0.4655	0.928
0.3556	6.944	434	0.4788	0.918

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: May 13, 2024
Updated: May 14, 2024