---
library_name: pytorch
pipeline_tag: image-classification
datasets:
- food101
tags:
- food101
- image-classification
- vision-transformer
- swin-transformer
license: mit
---

# Swin-T on Food-101

Raw training checkpoint exported from this repository:
https://github.com/mnjm/vit

## Files

- `Swin-T-food101.pt`: raw checkpoint from this training run
- `config/`: Hydra config snapshot saved with the run

## Checkpoint

- Path: `Swin-T-food101.pt`
- Dataset: `food101`
- Model: `Swin-T`

## Metrics

| Split | Loss | Acc@1 | Acc@5 |
| --- | ---: | ---: | ---: |
| Train | `0.0139` | `99.63%` | `99.97%` |
| Val | `1.6996` | `69.97%` | `88.88%` |

## Usage

This is a raw checkpoint dump. To use it check [here](https://github.com/mnjm/vit/compute_acc.py)