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_0522)
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 | 0.0003 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 522 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9605 |
| Val Accuracy | 0.9003 |
| Test Accuracy | 0.9010 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
motorcycle, willow_tree, mushroom, tiger, bear, table, can, mountain, dinosaur, poppy, cloud, bridge, skyscraper, crab, castle, palm_tree, bed, house, bus, sweet_pepper, bee, chair, hamster, apple, clock, plain, skunk, whale, rocket, seal, ray, camel, flatfish, shark, lamp, plate, wardrobe, raccoon, pickup_truck, worm, television, caterpillar, lizard, sunflower, boy, tulip, rabbit, chimpanzee, couch, snail