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--- |
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license: mit |
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base_model: google/vit-large-patch16-224-in21k |
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datasets: |
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- ahmed-ai/skin-lesions-classification-dataset |
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metrics: |
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- accuracy |
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pipeline_tag: image-classification |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# ahmed-ai/slc-2 |
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## Skin Lesions Classifier |
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<h2 style="color:red; font-size: 1.5rem">Important Warning</h2> |
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<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> |
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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. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.08 |
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- Validation Loss: 0.27 |
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- Train Accuracy: 0.92 |
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- Number of Epochs: 8 |
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### Training results |
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| Train Loss | Validation Loss | Accuracy | Epoch | |
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|:----------:|:---------------:|:---------:|:-----:| |
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| 0.628000 | 0.593520 | 0.785519 | 0 | |
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| 0.437800 | 0.481456 | 0.827322 | 1 | |
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| 0.398300 | 0.418967 | 0.853825 | 2 | |
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| 0.224900 | 0.363181 | 0.874590 | 3 | |
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| 0.192100 | 0.372062 | 0.886339 | 4 | |
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| 0.167800 | 0.321268 | 0.898361 | 5 | |
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| 0.083000 | 0.283219 | 0.914754 | 6 | |
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| 0.084300 | 0.273708 | 0.921585 | 7 | |
