This model is a fine-tuned version of WinKawaks/vit-tiny-patch16-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.5401
eval_accuracy: 0.8112
eval_runtime: 46.8732
eval_samples_per_second: 121.135
eval_steps_per_second: 3.797
epoch: 10.0
step: 1780
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
