ViT_dog_food

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: 0.4111

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: 7

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	36	0.4111
No log	2.0	72	0.1443
No log	3.0	108	0.0880
No log	4.0	144	0.0706
No log	5.0	180	0.0623
No log	6.0	216	0.0586
No log	7.0	252	0.0573

Framework versions

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