results

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

• eval_loss: 2.0673
• eval_model_preparation_time: 0.003
• eval_accuracy: {'accuracy': 0.16875}
• eval_runtime: 22.6244
• eval_samples_per_second: 7.072
• eval_steps_per_second: 0.442
• step: 0

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: 16
• eval_batch_size: 16
• 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: 3

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.3.2
• Tokenizers 0.21.0