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FasterAI-Labs/pilot-mobilenet_v3_large-imagenette
pilot-mobilenet_v3_large-imagenette is a machine learning model from FasterAI-Labs. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for fastermodels. The card lists the license as bsd-3-clause.
Imagenette validation, 3925 images, one run. Every published file is scored after reload; the reference is the fine-tuned source.
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.pt4.7 MB · 50%
From the Hugging Face model README
Imagenette validation, 3925 images, one run. Every published file is scored after reload; the reference is the fine-tuned source.
Top-1 on the evaluation set named above, size on disk, peak live activations and multiply-accumulates — the last two for one image of (3, 160, 160) at batch 1 — each against the fine-tuned mobilenet_v3_large.
model.torchscript.pt)| criterion | reference | this artifact | gap |
|---|---|---|---|
| top-1 | 96.5 % | 94.8 % | -1.7 pt [-2.3, -1.1] |
| size | 17.0 MB, 4.2 M params | 4.7 MB, n/a params | -72.6 % |
| memory | 3.3 MB | 0.5 MB | -84.4 % |
| MACs | 111.2 M | 111.2 M | +0.0 % |
model.onnx)| criterion | reference | this artifact | gap |
|---|---|---|---|
| top-1 | 96.5 % | 94.4 % | -2.1 pt [-2.7, -1.5] |
| size | 17.0 MB, 4.2 M params | 4.6 MB, n/a params | -72.9 % |
| memory | 3.3 MB | 0.5 MB | -84.4 % |
| MACs | 111.2 M | 111.2 M | +0.0 % |
Gaps are measured on the same images as the reference; brackets give the 95 % interval.
non mesurée
0.4.00.1.02.9.1+cu1282026-09-11965676792fcdPublication checks: 10/10 passed.