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_0606)
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 | 0.0001 |
| LR Scheduler | constant |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 606 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9908 |
| Val Accuracy | 0.9251 |
| Test Accuracy | 0.9240 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
beetle, tiger, dinosaur, bowl, tank, lion, skunk, squirrel, mushroom, rose, rocket, castle, snail, road, pickup_truck, couch, pine_tree, table, tulip, whale, orchid, shrew, crab, ray, bed, motorcycle, maple_tree, orange, snake, plate, wolf, keyboard, crocodile, wardrobe, camel, lamp, seal, bear, fox, oak_tree, can, mountain, bee, raccoon, cup, palm_tree, boy, bottle, girl, lawn_mower