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_0739)
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 | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 739 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9979 |
| Val Accuracy | 0.9275 |
| Test Accuracy | 0.9266 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
train, fox, sunflower, tractor, cloud, orange, poppy, lobster, apple, lion, boy, dinosaur, mouse, baby, tank, seal, snake, road, cockroach, mushroom, woman, raccoon, beaver, dolphin, mountain, ray, lizard, possum, lamp, otter, butterfly, worm, can, camel, chair, bicycle, hamster, crocodile, wardrobe, forest, whale, wolf, bed, couch, man, bus, rabbit, bridge, streetcar, elephant