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_0810)
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 | 3e-05 |
| LR Scheduler | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 810 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9990 |
| Val Accuracy | 0.9440 |
| Test Accuracy | 0.9378 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bottle, woman, mouse, streetcar, raccoon, castle, crab, girl, lamp, lawn_mower, sunflower, mushroom, kangaroo, crocodile, rocket, bee, couch, palm_tree, possum, orchid, lion, fox, snail, house, tank, maple_tree, beaver, sweet_pepper, ray, plate, baby, whale, rabbit, motorcycle, bus, forest, caterpillar, pear, camel, leopard, cloud, bowl, elephant, telephone, hamster, dolphin, poppy, chimpanzee, willow_tree, seal