This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.1685
eval_precision: 0.9495
eval_recall: 0.9497
eval_accuracy: 0.9497
eval_f1score: 0.9494
eval_runtime: 40.9327
eval_samples_per_second: 18.469
eval_steps_per_second: 0.586
epoch: 5.0
step: 950
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: 0.0002
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
