---
base_model: FastVIT
tags:
- fastai
- image-classification
- breast cancer
metrics:
- accuracy
---


This model is a fine-tuned version of FastViT on the Mammogram V1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1645
- Accuracy: 0.9517


---


## Model description
More information needed

## Intended uses & limitations
More information needed

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-04
- train_batch_size: 32
- eval_batch_size: 32

## Training and evaluation data
| Training Loss | Epoch | Validation Loss | Accuracy |
|:-------------:|:-----:|:---------------:|:--------:|
| 0.6094        | 1.0   | 0.6453          | 0.6135   | 
| 0.4967        | 2.0   | 0.4347          | 0.8259   |
| 0.3796        | 3.0   | 0.3768          | 0.7799   |
| 0.2927        | 4.0   | 0.3472          | 0.8463   |
| 0.2822        | 5.0   | 0.1645          | 0.9517   |


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