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_0958)
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 | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 958 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9758 |
| Val Accuracy | 0.9315 |
| Test Accuracy | 0.9284 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pear, lizard, sweet_pepper, leopard, skunk, wolf, tank, tulip, turtle, snail, rocket, fox, raccoon, castle, girl, palm_tree, tractor, mushroom, rose, bee, wardrobe, butterfly, road, can, dinosaur, cloud, porcupine, plain, rabbit, motorcycle, boy, beaver, chair, couch, bowl, streetcar, cockroach, trout, bear, otter, camel, pickup_truck, seal, lawn_mower, cup, orange, woman, spider, oak_tree, baby