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---
license: mit
base_model: google/vit-large-patch16-224-in21k
datasets:
- ahmed-ai/skin-lesions-classification-dataset
metrics:
- accuracy
pipeline_tag: image-classification
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# ahmed-ai/slc-2
## Skin Lesions Classifier
<h2 style="color:red; font-size: 1.5rem">Important Warning</h2>
<p style="font-weight: bold; font-size: 1.25rem;">This model is currently undergoing development; as such, it should not be used for clinical diagnosis or relied upon for medical decision-making at this stage.</p>
This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.08
- Validation Loss: 0.27
- Train Accuracy: 0.92
- Number of Epochs: 8
### Training results
| Train Loss | Validation Loss | Accuracy | Epoch |
|:----------:|:---------------:|:---------:|:-----:|
| 0.628000 | 0.593520 | 0.785519 | 0 |
| 0.437800 | 0.481456 | 0.827322 | 1 |
| 0.398300 | 0.418967 | 0.853825 | 2 |
| 0.224900 | 0.363181 | 0.874590 | 3 |
| 0.192100 | 0.372062 | 0.886339 | 4 |
| 0.167800 | 0.321268 | 0.898361 | 5 |
| 0.083000 | 0.283219 | 0.914754 | 6 |
| 0.084300 | 0.273708 | 0.921585 | 7 | |