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_0981)
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 | 0.0001 |
| LR Scheduler | constant_with_warmup |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 981 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9806 |
| Val Accuracy | 0.9328 |
| Test Accuracy | 0.9228 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dinosaur, spider, pine_tree, otter, sweet_pepper, wolf, shark, beetle, cup, flatfish, whale, maple_tree, oak_tree, pear, caterpillar, lawn_mower, apple, boy, cockroach, bridge, girl, leopard, bottle, squirrel, clock, forest, tulip, chair, lion, dolphin, tank, raccoon, can, lobster, elephant, tractor, aquarium_fish, lamp, house, chimpanzee, shrew, bed, rocket, castle, bus, pickup_truck, bear, camel, sea, palm_tree