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This model is a fine-tuned version of FastViT on the Mammogram V1 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1645
  • Accuracy: 0.9517

Model description

More information needed

Intended uses & limitations

More information needed

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-04
  • train_batch_size: 32
  • eval_batch_size: 32

Training and evaluation data

Training Loss Epoch Validation Loss Accuracy
0.6094 1.0 0.6453 0.6135
0.4967 2.0 0.4347 0.8259
0.3796 3.0 0.3768 0.7799
0.2927 4.0 0.3472 0.8463
0.2822 5.0 0.1645 0.9517

Framework Versions

  • Pytorch 2.3.1+cu121
  • Datasets 2.21.0
  • FastAi
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