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Vit B16 Food101

Raw training checkpoint exported from this repository:

TypeOtherVersionVi T B 16 food101CClasse

Source du modèle

Type
Other
Taille du fichier
983 MB
Version
vVi T B 16 food101
Mis à jour
22 oct. 2026
Source
Hugging Face

Description de la source

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

SplitLossAcc@1Acc@5
Train0.022799.41%99.87%
Val2.518358.57%81.41%

Usage

This is a raw checkpoint dump. To use it check here

Sources

1 source
Hugging FacePrincipalVersion e5968a2a0b3e6aa528fb19df1c9f71e4312ff0e4
huggingface.co/mnjm/vit-b16-food101/tree/e5968a2a0b3e6aa528fb19df1c9f71e4312ff0e4

Vérifié 22 oct.

Artefacts du modèle

1 artefact

ViT-B-16-food101.pt

pt · 983 MB · SHA-256 ccd90ce91d16…9b3f · Hugging Face

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Extraits de sources

2 extraits

--- 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