metadata
metrics:
- accuracy
tags:
- image-classification
- breast cancer
- fasterViT
This model is a fine-tuned version of FasterViT on the CBIS-DDSM dataset. It achieves the following results on the evaluation set:
- Loss: 0.6982
- Accuracy: 0.6267
Model description
More information needed
Intended uses & limitations
More information needed
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-3
- train_batch_size: 16
- eval_batch_size: 16
Training and evaluation data
| Training Loss | Epoch | Validation Loss | Accuracy |
|---|---|---|---|
| 0.8103 | 1.0 | 1.2116 | 0.0000 |
| 0.7289 | 2.0 | 0.7354 | 0.5200 |
| 0.7414 | 3.0 | 0.7137 | 0.5733 |
| 0.7076 | 4.0 | 0.7624 | 0.4267 |
| 0.7120 | 5.0 | 0.6934 | 0.2667 |
| 0.6968 | 6.0 | 0.6982 | 0.6267 |
Framework Versions
- Pytorch 2.3.1+cu121
- Datasets 2.21.0