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_0864)
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 | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 864 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9878 |
| Val Accuracy | 0.9376 |
| Test Accuracy | 0.9338 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bowl, tulip, rabbit, crocodile, bed, girl, ray, television, train, whale, can, bus, bicycle, tractor, shrew, chimpanzee, apple, telephone, plate, butterfly, pickup_truck, chair, woman, keyboard, orchid, bottle, rose, flatfish, streetcar, dinosaur, raccoon, snake, squirrel, lizard, pine_tree, lobster, oak_tree, skunk, camel, fox, porcupine, sea, leopard, couch, motorcycle, bridge, turtle, baby, palm_tree, orange