This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the image_folder dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.2234
eval_accuracy: 0.9592
eval_runtime: 64.9173
eval_samples_per_second: 85.37
eval_steps_per_second: 2.68
epoch: 227.72
step: 23000
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
