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--- |
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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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--- |
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This model is a fine-tuned version of FasterViT on the CBIS-DDSM dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6982 |
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- Accuracy: 0.6267 |
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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: 1e-3 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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| 0.8103 | 1.0 | 1.2116 | 0.0000 | |
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| 0.7289 | 2.0 | 0.7354 | 0.5200 | |
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| 0.7414 | 3.0 | 0.7137 | 0.5733 | |
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| 0.7076 | 4.0 | 0.7624 | 0.4267 | |
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| 0.7120 | 5.0 | 0.6934 | 0.2667 | |
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| 0.6968 | 6.0 | 0.6982 | 0.6267 | |
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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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--- |
