dog-or-food-arturo-guerrero

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: 0.0048
• Accuracy: 0.9987

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: 0.0002
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0697	1.77	500	0.0513	0.988
0.0087	3.55	1000	0.0048	0.9987

Framework versions

• Transformers 4.30.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.13.3