ViT_dog-food

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: 0.4017

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	36	0.4017
No log	2.0	72	0.1616
No log	3.0	108	0.1076
No log	4.0	144	0.0910
No log	5.0	180	0.0858

Framework versions

• Transformers 4.55.0
• Pytorch 2.6.0+cu124
• Datasets 4.0.0
• Tokenizers 0.21.4