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