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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


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