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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


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