Swin T Food101
Raw training checkpoint exported from this repository:
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 317 MB
- Versão
- vVersion 1
- Atualizado
- 22 de out. de 2026
- Fonte
- Hugging Face
Descrição da fonte
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 runconfig/: 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
Fontes
1 fonte
Fontes
1 fonteVerificado 22 de out.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatoTrechos de fonte
2 trechos
Trechos de fonte
2 trechos--- 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)
Source context: 0 downloads · 0 likes · Pipeline image-classification · Library pytorch · Repo mnjm/swin-t-food101
