File size: 944 Bytes
9d58f39 9ed4d16 9d58f39 c48c67e 9d58f39 c48c67e 9d58f39 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | ---
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
--- |