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---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bone-fracture-detection-using-x-rays
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bone-fracture-detection-using-x-rays
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.
It achieves the following results on the evaluation set:
- Loss: 0.0458
- Accuracy: 0.9769
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5407 | 1.0 | 111 | 0.2512 | 0.9143 |
| 0.1819 | 2.0 | 222 | 0.1203 | 0.9526 |
| 0.1351 | 3.0 | 333 | 0.1183 | 0.9521 |
| 0.101 | 4.0 | 444 | 0.0905 | 0.9616 |
| 0.0705 | 5.0 | 555 | 0.0958 | 0.9628 |
| 0.0658 | 6.0 | 666 | 0.0671 | 0.9729 |
| 0.0584 | 7.0 | 777 | 0.0498 | 0.9803 |
| 0.0507 | 8.0 | 888 | 0.0633 | 0.9735 |
| 0.0508 | 9.0 | 999 | 0.0640 | 0.9797 |
| 0.0432 | 10.0 | 1110 | 0.0458 | 0.9769 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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