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_0402)
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 | 7e-05 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 402 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9888 |
| Val Accuracy | 0.9341 |
| Test Accuracy | 0.9312 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mountain, trout, fox, sweet_pepper, seal, boy, cup, pickup_truck, pear, wolf, sunflower, possum, willow_tree, squirrel, television, snail, snake, skunk, raccoon, man, lizard, tiger, bear, mushroom, plain, lobster, beetle, woman, oak_tree, dinosaur, rocket, beaver, butterfly, bicycle, tank, maple_tree, motorcycle, chair, forest, lawn_mower, shrew, wardrobe, hamster, bridge, turtle, ray, bed, leopard, rose, train