myclass

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

• eval_loss: 0.2064
• eval_accuracy: 0.9472
• eval_runtime: 10.9177
• eval_samples_per_second: 67.688
• eval_steps_per_second: 8.518
• epoch: 2.0
• step: 740

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: 0.0003
• train_batch_size: 16
• eval_batch_size: 8
• 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

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Tokenizers 0.21.1