This model is a fine-tuned version of google/vit-large-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.4536
eval_accuracy: 0.8701
eval_runtime: 30.8691
eval_samples_per_second: 200.006
eval_steps_per_second: 3.142
epoch: 28.0
step: 6328
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
