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metrics: |
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- accuracy |
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tags: |
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- image-classification |
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- breast cancer |
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- fasterViT |
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This model is a fine-tuned version of FasterViT on the Mammogram_V1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4760 |
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- Accuracy: 0.5694 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-4 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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## Training and evaluation data |
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| Training Loss | Epoch | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:---------------:|:--------:| |
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| 0.4868 | 1.0 | 0.4745 | 0.4700 | |
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| 0.4767 | 2.0 | 0.4750 | 0.4711 | |
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| 0.4761 | 3.0 | 0.4714 | 0.5203 | |
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| 0.4746 | 4.0 | 0.4710 | 0.5694 | |
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## Framework Versions |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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