This model is a fine-tuned version of google/vit-base-patch32-224-in21k on the ahishamm/isic_db dataset.
It achieves the following results on the evaluation set:
Loss: 0.5791
Accuracy: 0.7778
Recall: 0.7778
F1: 0.7778
Precision: 0.7778
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
