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_0360)
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 | 0.0005 |
| LR Scheduler | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 360 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9613 |
| Val Accuracy | 0.8248 |
| Test Accuracy | 0.8246 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lawn_mower, castle, pickup_truck, chimpanzee, trout, poppy, cattle, clock, snake, cockroach, porcupine, lion, boy, mountain, train, kangaroo, aquarium_fish, plain, road, willow_tree, television, dinosaur, wardrobe, beaver, tiger, camel, dolphin, skyscraper, streetcar, baby, hamster, woman, palm_tree, bottle, squirrel, bear, crab, girl, bridge, house, couch, seal, flatfish, ray, shrew, turtle, lizard, plate, bicycle, sunflower