metadata
base_model: google/vit-base-patch16-224
library_name: transformers
pipeline_tag: image-classification
tags:
- probex
- model-j
- weight-space-learning
Model-J: SupViT Model (model_idx_0254)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | SupViT |
| Split | train |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 254 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9906 |
| Val Accuracy | 0.9379 |
| Test Accuracy | 0.9384 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
turtle, keyboard, porcupine, plate, apple, whale, tractor, worm, seal, streetcar, plain, orange, raccoon, skunk, tulip, maple_tree, baby, sweet_pepper, rose, mouse, aquarium_fish, pear, crocodile, train, palm_tree, cattle, kangaroo, spider, bicycle, sunflower, butterfly, flatfish, bridge, woman, rocket, otter, skyscraper, mushroom, beaver, camel, poppy, hamster, lizard, forest, willow_tree, cup, cockroach, rabbit, house, castle