Downloads ยท 30 days
5
7% of all-time downloads
ProbeX/Model-J__SupViT__model_idx_0467
Model-J__SupViT__model_idx_0467 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:
Downloads ยท 30 days
5
7% of all-time downloads
All-time downloads
71
Public
Parameters
85.8M
343 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors343 MB ยท 100%
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 | 0.0003 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 467 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9975 |
| Val Accuracy | 0.9285 |
| Test Accuracy | 0.9324 |
The model was fine-tuned on the following 50 CIFAR100 classes:
bicycle, sunflower, spider, camel, streetcar, bottle, beaver, dolphin, boy, worm, bowl, squirrel, possum, caterpillar, snake, house, wardrobe, motorcycle, cloud, mushroom, leopard, lion, cup, turtle, apple, maple_tree, lizard, orange, orchid, skunk, baby, shark, forest, pickup_truck, willow_tree, skyscraper, road, palm_tree, aquarium_fish, rocket, plate, poppy, fox, tank, bear, girl, train, butterfly, rabbit, castle