fine-tuned-vit-skin-lesions
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:
- Loss: 1.9859
- Accuracy: 0.5852
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: 1e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0427 | 1.0 | 701 | 2.0068 | 0.5852 |
| 2.0091 | 2.0 | 1402 | 1.9898 | 0.5852 |
| 1.9907 | 3.0 | 2103 | 1.9859 | 0.5852 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for hannahisrael03/fine-tuned-vit-skin-lesions
Base model
google/vit-base-patch16-224-in21k