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_0230)
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 | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 230 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9547 |
| Test Accuracy | 0.9526 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
clock, telephone, castle, crab, bridge, squirrel, pickup_truck, cattle, orange, turtle, shark, pear, lawn_mower, woman, otter, train, boy, plate, possum, bee, skyscraper, tiger, tank, dolphin, porcupine, crocodile, plain, table, willow_tree, orchid, leopard, poppy, worm, bottle, rose, wardrobe, ray, mushroom, keyboard, skunk, cockroach, bear, chimpanzee, man, mountain, camel, mouse, aquarium_fish, shrew, raccoon