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metadata
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: []

bone-fracture-detection-using-x-rays

This model is a fine-tuned version of 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