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_0005)
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 | 7e-05 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 5 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9994 |
| Val Accuracy | 0.9421 |
| Test Accuracy | 0.9420 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tulip, shrew, flatfish, crocodile, bus, streetcar, tractor, otter, tank, caterpillar, house, bee, pear, willow_tree, bridge, dinosaur, butterfly, cattle, can, spider, crab, bicycle, sea, apple, bed, snake, oak_tree, porcupine, worm, squirrel, orange, skyscraper, rabbit, raccoon, seal, camel, plain, sweet_pepper, beaver, girl, elephant, snail, orchid, keyboard, cloud, boy, ray, bottle, rose, tiger