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_0173)
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 | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 173 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9795 |
| Val Accuracy | 0.9277 |
| Test Accuracy | 0.9210 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
caterpillar, shrew, kangaroo, willow_tree, trout, tiger, mountain, mushroom, oak_tree, keyboard, baby, orange, chimpanzee, otter, dolphin, pickup_truck, tulip, plate, girl, leopard, crocodile, woman, squirrel, bus, rabbit, worm, beetle, turtle, apple, bed, wardrobe, pine_tree, shark, lamp, elephant, lizard, sea, rocket, rose, crab, sunflower, man, aquarium_fish, porcupine, streetcar, lobster, television, lawn_mower, poppy, camel