ProbeX/Model-J__SupViT__model_idx_0996

Model-J: SupViT Model (model_idx_0996)

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	0.0005
LR Scheduler	cosine
Epochs	8
Max Train Steps	2664
Batch Size	64
Weight Decay	0.03
Seed	996
Random Crop	True
Random Flip	False

Performance

Metric	Value
Train Accuracy	0.9991
Val Accuracy	0.8973
Test Accuracy	0.8940

Training Categories

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

bowl, television, plate, hamster, cockroach, sea, rose, forest, cattle, beetle, rabbit, mushroom, seal, trout, boy, poppy, caterpillar, ray, maple_tree, couch, snake, rocket, bee, aquarium_fish, willow_tree, fox, tiger, palm_tree, orchid, crab, skunk, motorcycle, leopard, pear, bridge, table, bicycle, pickup_truck, worm, mountain, lamp, crocodile, otter, telephone, baby, oak_tree, flatfish, turtle, bed, cloud