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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: Melanoma-Cancer-Image-Classification |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Melanoma-Cancer-Image-Classification |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1954 |
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- Accuracy: 0.9395 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.5451 | 0.99 | 68 | 0.2960 | 0.8936 | |
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| 0.2488 | 1.99 | 137 | 0.2254 | 0.9105 | |
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| 0.1986 | 3.0 | 206 | 0.1913 | 0.9282 | |
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| 0.1714 | 4.0 | 275 | 0.1906 | 0.9264 | |
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| 0.1576 | 4.99 | 343 | 0.1825 | 0.9323 | |
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| 0.1359 | 5.99 | 412 | 0.1973 | 0.9318 | |
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| 0.1193 | 7.0 | 481 | 0.1756 | 0.9368 | |
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| 0.1062 | 8.0 | 550 | 0.1743 | 0.9382 | |
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| 0.0983 | 8.99 | 618 | 0.1885 | 0.9395 | |
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| 0.0797 | 9.99 | 687 | 0.1931 | 0.9309 | |
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| 0.0698 | 11.0 | 756 | 0.1895 | 0.9359 | |
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| 0.0657 | 12.0 | 825 | 0.1861 | 0.9368 | |
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| 0.0587 | 12.99 | 893 | 0.1837 | 0.9414 | |
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| 0.056 | 13.99 | 962 | 0.1936 | 0.9377 | |
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| 0.0592 | 15.0 | 1031 | 0.1958 | 0.935 | |
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| 0.0508 | 15.83 | 1088 | 0.1954 | 0.9395 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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