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README.md

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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 and, as such, cannot be considered reliable for real-world applications at this time.</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     |