This model is a fine-tuned version of nateraw/vit-base-patch16-224-cifar10 on the cifar10-upside-down dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.2348
eval_accuracy: 0.9134
eval_runtime: 157.4172
eval_samples_per_second: 127.051
eval_steps_per_second: 1.988
epoch: 0.02
step: 26
Model description
Vision Transformer
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
