You can deploy this model and start earning money today!

elvispresniy/
vit-food101

Name: vit-food101
Availability: InStock

generated_from_trainer

google/vit-base-patch16-224-in21k

Views

No views yet

vit-food101

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: 0.4925
Accuracy: 0.899

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: 0.0002
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.682	0.6369	100	2.5501	0.802
1.312	1.2739	200	1.3870	0.855
0.7605	1.9108	300	0.9167	0.862
0.3844	2.5478	400	0.6248	0.88
0.1957	3.1847	500	0.5220	0.896
0.1756	3.8217	600	0.4925	0.899

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

elvispresniy/vit-food101

vit-food101

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

elvispresniy/
vit-food101