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_0569)
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 | val |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 569 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9952 |
| Val Accuracy | 0.9488 |
| Test Accuracy | 0.9434 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bee, beetle, camel, cup, skyscraper, bicycle, bridge, tiger, poppy, maple_tree, porcupine, tractor, bowl, orchid, dolphin, castle, girl, lion, beaver, shrew, road, caterpillar, wardrobe, raccoon, tulip, worm, lawn_mower, squirrel, orange, mountain, bottle, tank, cattle, cockroach, sweet_pepper, man, baby, couch, kangaroo, table, shark, flatfish, butterfly, bus, willow_tree, rabbit, leopard, bed, mushroom, otter