This model is a fine-tuned version of google/vit-base-patch16-224 on the food-classification dataset. It achieves the following results on the evaluation set:

Loss: 0.0000
Accuracy: 1.0

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: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 6

Training results

Epoch	Step	Accuracy
1.0	2171	1.0
2.0	4342	1.0
3.0	6513	1.0
4.0	8684	1.0
5.0	10855	1.0
6.0	13026	1.0

Framework versions

Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

gutkia01/vit-food-classification-gutkia01

vit-food-classification-gutkia01

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gutkia01/
vit-food-classification-gutkia01