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ProbeX/Model-J__SupViT__model_idx_0750
Model-J__SupViT__model_idx_0750 is a image classification model from ProbeX. Use it when you need a label for an image. It is set up for transformers.
This model is part of the Model-J dataset, introduced in:
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Updated Feb 10, 2026
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From the Hugging Face model README
This model is part of the Model-J dataset, introduced in:
Learning on Model Weights using Tree Experts (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
<p align="center"> ๐ <a href="https://horwitz.ai/probex" target="_blank">Project</a> | ๐ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | ๐ป <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | ๐ค <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a> </p>
| Attribute | Value |
|---|---|
| Subset | SupViT |
| Split | test |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 5e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 750 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9879 |
| Val Accuracy | 0.9483 |
| Test Accuracy | 0.9512 |
The model was fine-tuned on the following 50 CIFAR100 classes:
skyscraper, tiger, motorcycle, worm, mountain, keyboard, poppy, clock, willow_tree, cloud, otter, fox, flatfish, camel, beetle, hamster, lobster, chair, chimpanzee, shrew, apple, plain, tractor, trout, can, lion, whale, tulip, mushroom, train, lamp, man, rose, television, turtle, bridge, porcupine, pear, mouse, house, orchid, caterpillar, elephant, boy, cup, baby, bee, orange, bear, road