ViT_model_output

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

• Loss: 0.4552

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	0.4552
No log	2.0	72	0.1703
No log	3.0	108	0.1101
No log	4.0	144	0.0927
No log	5.0	180	0.0876

Framework versions

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