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base_model: FastVIT |
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tags: |
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- fastai |
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- image-classification |
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- breast cancer |
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metrics: |
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- accuracy |
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--- |
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This model is a fine-tuned version of FastViT on the Mammogram V1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1645 |
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- Accuracy: 0.9517 |
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--- |
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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-04 |
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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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| 0.6094 | 1.0 | 0.6453 | 0.6135 | |
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| 0.4967 | 2.0 | 0.4347 | 0.8259 | |
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| 0.3796 | 3.0 | 0.3768 | 0.7799 | |
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| 0.2927 | 4.0 | 0.3472 | 0.8463 | |
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| 0.2822 | 5.0 | 0.1645 | 0.9517 | |
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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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- FastAi |
