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_0285)
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 | 3e-05 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 285 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9992 |
| Val Accuracy | 0.9616 |
| Test Accuracy | 0.9566 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
skunk, lizard, tulip, poppy, hamster, butterfly, shrew, mushroom, skyscraper, plate, rose, man, fox, lamp, lion, lobster, rocket, pear, chair, tractor, snake, kangaroo, snail, oak_tree, bottle, turtle, can, apple, shark, table, tiger, pine_tree, palm_tree, trout, bee, possum, aquarium_fish, dinosaur, caterpillar, house, rabbit, orange, ray, lawn_mower, chimpanzee, mountain, cloud, raccoon, beetle, beaver