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ProbeX/Model-J__SupViT__model_idx_0617
Model-J__SupViT__model_idx_0617 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 | val |
| 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 | 0.05 |
| Seed | 617 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9974 |
| Val Accuracy | 0.9296 |
| Test Accuracy | 0.9328 |
The model was fine-tuned on the following 50 CIFAR100 classes:
tulip, shrew, whale, bottle, ray, cloud, shark, otter, chimpanzee, sea, sunflower, bridge, orchid, dinosaur, lamp, aquarium_fish, oak_tree, snake, apple, sweet_pepper, leopard, caterpillar, pine_tree, rocket, bowl, spider, trout, flatfish, camel, cattle, girl, woman, beaver, porcupine, turtle, boy, tractor, train, snail, wardrobe, table, bed, clock, kangaroo, couch, pickup_truck, road, lizard, streetcar, bicycle