Vit B16 Food101
Raw training checkpoint exported from this repository:
Modellquelle
- Art
- Other
- Dateigröße
- 983 MB
- Version
- vVi T B 16 food101
- Aktualisiert
- 22. Okt. 2026
- Quelle
- Hugging Face
Quellenbeschreibung
ViT-B-16 on Food-101
Raw training checkpoint exported from this repository: https://github.com/mnjm/vit
Files
ViT-B-16-food101.pt: raw checkpoint from this training runconfig/: Hydra config snapshot saved with the run
Checkpoint
- Path:
ViT-B-16-food101.pt - Dataset:
food101 - Model:
ViT-B/16
Metrics
| Split | Loss | Acc@1 | Acc@5 |
|---|---|---|---|
| Train | 0.0227 | 99.41% | 99.87% |
| Val | 2.5183 | 58.57% | 81.41% |
Usage
This is a raw checkpoint dump. To use it check here
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 22. Okt.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
2 Auszüge
Quellenauszüge
2 Auszüge--- library_name: pytorch pipeline_tag: image-classification datasets: - food101 tags: - food101 - image-classification - vision-transformer - vit license: mit --- # ViT-B-16 on Food-101 Raw training checkpoint exported from this repository: https://github.com/mnjm/vit ## Files - `ViT-B-16-food101.pt`: raw checkpoint from this training run - `config/`: Hydra config snapshot saved with the run ## Checkpoint - Path: `ViT-B-16-food101.pt` - Dataset: `food101` - Model: `ViT-B/16` ## Metrics | Split | Loss | Acc@1 | Acc@5 | | --- | ---: | ---: | ---: | | Train | `0.0227` | `99.41%` | `99.87%` | | Val | `2.5183` | `58.57%` | `81.41%` | ## Usage This is a raw checkpoint dump. To use it check [here](https://github.com/mnjm/vit/blob/main/compute_acc.py)
Source context: 0 downloads · 0 likes · Pipeline image-classification · Library pytorch · Repo mnjm/vit-b16-food101
