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_0198)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 198 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9512 |
| Test Accuracy | 0.9478 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
aquarium_fish, can, kangaroo, chimpanzee, porcupine, orange, snail, leopard, motorcycle, orchid, baby, clock, squirrel, television, house, shark, dinosaur, keyboard, pine_tree, apple, road, forest, cup, possum, flatfish, rose, rabbit, willow_tree, bed, crab, palm_tree, lizard, crocodile, pear, lawn_mower, couch, sunflower, trout, woman, bicycle, tulip, seal, pickup_truck, tiger, streetcar, otter, chair, bridge, maple_tree, camel