---
tags:
- fastai
- breast cancer
- image-classification
metrics:
- accuracy
- f1
---

This model is a fine-tuned version of FastViT on the Mammogram V1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8279
- Accuracy: 0.5893


## Model description
More information needed

## Intended uses & limitations
More information needed

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16

## Training and evaluation data



## Framework Versions
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- FastAi