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# 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     |
actinic keratoses basal cell carcinoma melanoma monkeypox squamous cell carcinoma vascular lesions benign keratosis-like lesions chickenpox cowpox dermatofibroma hfmd healthy measles melanocytic nevi