This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the cifar10 dataset.
It achieves the following results on the evaluation set:
Loss: 0.0806
Accuracy: 0.9914
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: 0.0001
train_batch_size: 17
eval_batch_size: 17
seed: 1337
distributed_type: IPU
gradient_accumulation_steps: 128
total_train_batch_size: 8704
total_eval_batch_size: 272
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
