my_awesome_food_model3

bferrando/my_awesome_food_model3

my_awesome_food_model3 is a image classification model from bferrando. Use it when you need a label for an image. It is set up for transformers.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

16% of all-time downloads

All-time downloads

Public

Parameters

85.9M

2.4 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
Model type: vit
Access: Public
Created: May 22, 2024
Updated: May 22, 2024
SHA: 1585cebd

Model card

From the Hugging Face model README

my_awesome_food_model3

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9406
Accuracy: 0.94

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: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.0152	0.992	31	1.8843	0.89
1.5699	1.984	62	1.5180	0.91
1.3132	2.976	93	1.2750	0.918
1.151	4.0	125	1.1549	0.912
0.9953	4.992	156	1.0372	0.926
0.9404	5.984	187	0.9710	0.937
0.9211	6.944	217	0.9406	0.94

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: vit
Created: May 22, 2024
Updated: May 22, 2024