This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the HAM1000 dataset.
It achieves the following results on the evaluation set:
Loss: 0.5919
Accuracy: 0.8158
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: 64
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
