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_0255)
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 | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 255 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9935 |
| Val Accuracy | 0.9600 |
| Test Accuracy | 0.9574 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
caterpillar, table, snail, chimpanzee, apple, can, wardrobe, bed, beaver, butterfly, mountain, poppy, tiger, plate, orange, hamster, bear, telephone, tulip, squirrel, lamp, snake, shark, cup, baby, cloud, bridge, possum, chair, television, leopard, skunk, elephant, fox, streetcar, turtle, tractor, oak_tree, wolf, orchid, mouse, mushroom, skyscraper, porcupine, cockroach, man, dinosaur, motorcycle, house, shrew