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_0051)
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 | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 51 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9848 |
| Val Accuracy | 0.9299 |
| Test Accuracy | 0.9270 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
house, skyscraper, trout, bed, bee, possum, girl, seal, butterfly, lizard, beetle, hamster, motorcycle, pine_tree, table, lawn_mower, camel, shark, bear, bottle, cattle, orange, ray, tiger, fox, boy, couch, maple_tree, cup, streetcar, turtle, porcupine, castle, leopard, mountain, dinosaur, mushroom, plate, wardrobe, bus, beaver, rabbit, bicycle, train, cockroach, forest, snail, squirrel, clock, woman