This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the dog_food dataset. It achieves the following results on the evaluation set:

Loss: 0.6250

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: 2e-05
train_batch_size: 64
eval_batch_size: 64
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: 8

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	36	0.6250
No log	2.0	72	0.2477
No log	3.0	108	0.1574
No log	4.0	144	0.1282
No log	5.0	180	0.1140
No log	6.0	216	0.1067
No log	7.0	252	0.1027
No log	8.0	288	0.1014

Framework versions

Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1

gjseh115/ViT_dog_food

ViT_dog_food

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

gjseh115/
ViT_dog_food