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_0824)
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 | 0.0003 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 824 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9877 |
| Val Accuracy | 0.9387 |
| Test Accuracy | 0.9354 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
road, lamp, keyboard, elephant, streetcar, kangaroo, forest, chair, can, clock, lizard, crocodile, plain, sea, bowl, bear, snake, bottle, television, spider, pickup_truck, telephone, sweet_pepper, couch, wardrobe, bed, whale, bee, mountain, chimpanzee, apple, cloud, man, camel, mushroom, rose, cattle, tiger, boy, dinosaur, shrew, plate, beaver, orchid, bridge, wolf, fox, ray, sunflower, lawn_mower