ProbeX/Model-J__SupViT__model_idx_0033

Model-J: SupViT Model (model_idx_0033)

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_with_warmup
Epochs	2
Max Train Steps	666
Batch Size	64
Weight Decay	0.005
Seed	33
Random Crop	False
Random Flip	True

Performance

Metric	Value
Train Accuracy	0.9891
Val Accuracy	0.9483
Test Accuracy	0.9472

Training Categories

The model was fine-tuned on the following 50 CIFAR100 classes:

tank, lawn_mower, cloud, clock, caterpillar, plain, pickup_truck, tulip, television, seal, castle, cup, rose, willow_tree, tractor, whale, porcupine, bicycle, rabbit, spider, mushroom, forest, shrew, wardrobe, bridge, bottle, baby, raccoon, couch, skunk, aquarium_fish, snake, lobster, pear, bed, otter, leopard, palm_tree, bowl, flatfish, butterfly, bus, road, sea, telephone, house, motorcycle, sunflower, bear, mountain