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_0000)
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 | 5e-05 |
| LR Scheduler | linear |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 0 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9994 |
| Val Accuracy | 0.9539 |
| Test Accuracy | 0.9560 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
baby, chimpanzee, whale, porcupine, bottle, train, leopard, couch, mouse, lawn_mower, turtle, motorcycle, lobster, lamp, castle, hamster, clock, trout, pickup_truck, orange, crocodile, kangaroo, snail, sea, bus, snake, bridge, ray, tiger, lion, road, lizard, otter, cup, spider, rabbit, dolphin, orchid, keyboard, poppy, forest, tulip, maple_tree, rocket, streetcar, beaver, fox, raccoon, cockroach, boy