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_0006)
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 | test |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 6 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9954 |
| Val Accuracy | 0.9408 |
| Test Accuracy | 0.9362 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
shark, orange, maple_tree, bridge, caterpillar, house, dinosaur, skyscraper, bowl, lamp, spider, dolphin, possum, raccoon, bus, elephant, boy, pickup_truck, streetcar, trout, crab, television, hamster, bed, table, road, man, cattle, train, squirrel, baby, motorcycle, willow_tree, otter, tank, forest, sea, plate, rocket, can, mountain, orchid, camel, ray, crocodile, cockroach, sunflower, porcupine, chimpanzee, tulip