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Swin T Food101

Raw training checkpoint exported from this repository:

Sourcehuggingface.co/mnjm/swin-t-food101/tree/6878b3a76ce62b3089152f92ceb3de0be6b98dc2
KindOtherVersionVersion 1Cgrade

Model source

Kind
Other
File size
317 MB
Version
vVersion 1
Updated
Oct 22, 2026
Source
Hugging Face

Source description

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

SplitLossAcc@1Acc@5
Train0.013999.63%99.97%
Val1.699669.97%88.88%

Usage

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

Sources

1 source
Hugging FacePrimaryVersion 6878b3a76ce62b3089152f92ceb3de0be6b98dc2
huggingface.co/mnjm/swin-t-food101/tree/6878b3a76ce62b3089152f92ceb3de0be6b98dc2

Verified Oct 22

Model artifacts

1 artifact

Swin-T-food101.pt

pt · 317 MB · SHA-256 a37052c697b0…05d3 · Hugging Face

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Source excerpts

2 excerpts
ReadmeAug 5huggingface.co/mnjm/swin-t-food101

--- 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)

NoteAug 5huggingface.co/mnjm/swin-t-food101

Source context: 0 downloads · 0 likes · Pipeline image-classification · Library pytorch · Repo mnjm/swin-t-food101