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_0900)
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 | 0.0003 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 900 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9910 |
| Val Accuracy | 0.9435 |
| Test Accuracy | 0.9404 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
snake, bottle, bed, couch, lobster, oak_tree, bee, man, dinosaur, forest, plate, lion, motorcycle, rabbit, tank, skyscraper, otter, bridge, pickup_truck, elephant, willow_tree, crocodile, mushroom, mountain, possum, cattle, cloud, castle, clock, aquarium_fish, kangaroo, road, fox, spider, skunk, plain, bowl, baby, streetcar, chimpanzee, seal, ray, cockroach, porcupine, bicycle, orchid, boy, sunflower, table, tractor