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_0374)
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 | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 374 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9979 |
| Val Accuracy | 0.9453 |
| Test Accuracy | 0.9472 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
squirrel, elephant, porcupine, apple, bottle, clock, tank, keyboard, bowl, dinosaur, mushroom, skyscraper, snail, ray, orange, plate, chimpanzee, palm_tree, motorcycle, road, train, mouse, plain, bus, girl, television, lawn_mower, turtle, shark, bicycle, mountain, crab, cup, castle, lobster, camel, cockroach, whale, possum, couch, telephone, wardrobe, sweet_pepper, pickup_truck, poppy, spider, rocket, shrew, lamp, streetcar