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_0316)
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 | test |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | constant |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 316 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9854 |
| Val Accuracy | 0.9304 |
| Test Accuracy | 0.9306 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
boy, dinosaur, couch, chimpanzee, clock, tank, crocodile, hamster, porcupine, girl, tulip, ray, maple_tree, tiger, bus, lawn_mower, raccoon, butterfly, poppy, whale, castle, flatfish, caterpillar, plain, snake, lobster, skyscraper, palm_tree, man, dolphin, woman, snail, skunk, sweet_pepper, keyboard, willow_tree, bicycle, lizard, mountain, beetle, shark, pear, tractor, lamp, sunflower, squirrel, rocket, aquarium_fish, telephone, leopard