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_0170)
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_with_restarts |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 170 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9988 |
| Val Accuracy | 0.9539 |
| Test Accuracy | 0.9482 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lamp, clock, baby, skunk, chair, shrew, mountain, lawn_mower, couch, man, lobster, wolf, cattle, sea, dolphin, telephone, apple, aquarium_fish, bus, bicycle, palm_tree, butterfly, pickup_truck, girl, otter, bee, kangaroo, crocodile, flatfish, worm, fox, trout, road, lion, dinosaur, bridge, bear, camel, rose, seal, bed, tiger, motorcycle, possum, leopard, train, willow_tree, snake, castle, ray