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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: bone-fracture-detection-using-x-rays |
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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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# bone-fracture-detection-using-x-rays |
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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: 0.0458 |
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- Accuracy: 0.9769 |
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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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| 0.5407 | 1.0 | 111 | 0.2512 | 0.9143 | |
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| 0.1819 | 2.0 | 222 | 0.1203 | 0.9526 | |
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| 0.1351 | 3.0 | 333 | 0.1183 | 0.9521 | |
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| 0.101 | 4.0 | 444 | 0.0905 | 0.9616 | |
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| 0.0705 | 5.0 | 555 | 0.0958 | 0.9628 | |
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| 0.0658 | 6.0 | 666 | 0.0671 | 0.9729 | |
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| 0.0584 | 7.0 | 777 | 0.0498 | 0.9803 | |
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| 0.0507 | 8.0 | 888 | 0.0633 | 0.9735 | |
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| 0.0508 | 9.0 | 999 | 0.0640 | 0.9797 | |
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| 0.0432 | 10.0 | 1110 | 0.0458 | 0.9769 | |
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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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