vit-base-pets

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

• Loss: 0.0765
• Accuracy: 0.98

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: 16
• 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0428	1.7544	100	0.0765	0.98
0.0089	3.5088	200	0.0770	0.98

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1