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ProbeX/Model-J__SupViT__model_idx_0193
Model-J__SupViT__model_idx_0193 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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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 | train |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 193 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9935 |
| Val Accuracy | 0.9173 |
| Test Accuracy | 0.9210 |
The model was fine-tuned on the following 50 CIFAR100 classes:
pickup_truck, plain, plate, ray, skyscraper, bed, sea, raccoon, bridge, dolphin, castle, mouse, palm_tree, baby, orchid, camel, tulip, lawn_mower, couch, shrew, rabbit, mushroom, house, mountain, flatfish, chimpanzee, worm, television, bowl, trout, crocodile, dinosaur, cup, bee, poppy, whale, oak_tree, lobster, hamster, caterpillar, fox, chair, snail, lamp, clock, keyboard, porcupine, bottle, boy, skunk