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_0620)
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 | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 620 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9993 |
| Val Accuracy | 0.9411 |
| Test Accuracy | 0.9400 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chair, castle, pine_tree, dinosaur, orange, squirrel, lawn_mower, bridge, beetle, house, orchid, porcupine, possum, road, crab, bottle, crocodile, hamster, leopard, snail, rocket, fox, motorcycle, keyboard, whale, snake, willow_tree, cockroach, forest, rabbit, plate, turtle, sweet_pepper, bee, beaver, camel, telephone, butterfly, lion, trout, lamp, man, tiger, cattle, elephant, boy, chimpanzee, tank, aquarium_fish, cup