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_0943)
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 | 0.0003 |
| LR Scheduler | cosine |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 943 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9975 |
| Val Accuracy | 0.9467 |
| Test Accuracy | 0.9410 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
beetle, girl, crocodile, tiger, beaver, orange, table, leopard, motorcycle, palm_tree, dolphin, whale, keyboard, aquarium_fish, tank, chair, squirrel, skyscraper, man, woman, worm, bottle, wolf, bee, flatfish, butterfly, skunk, castle, orchid, tractor, rose, raccoon, lizard, turtle, possum, trout, shrew, rabbit, bear, forest, baby, lamp, oak_tree, plain, apple, house, chimpanzee, dinosaur, tulip, kangaroo