ProbeX/Model-J__MAE__model_idx_0948

Model-J: MAE Model (model_idx_0948)

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	MAE
Split	test
Base Model	facebook/vit-mae-base
Dataset	CIFAR100 (50 classes)

Training Hyperparameters

Parameter	Value
Learning Rate	3e-05
LR Scheduler	cosine_with_restarts
Epochs	6
Max Train Steps	1998
Batch Size	64
Weight Decay	0.05
Seed	948
Random Crop	False
Random Flip	True

Performance

Metric	Value
Train Accuracy	0.9713
Val Accuracy	0.8691
Test Accuracy	0.8698

Training Categories

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

dolphin, shrew, cattle, hamster, squirrel, rose, bicycle, bear, aquarium_fish, rocket, plain, bridge, elephant, cloud, bottle, house, sweet_pepper, skunk, pear, pickup_truck, possum, otter, couch, maple_tree, porcupine, wardrobe, camel, train, lion, wolf, beaver, worm, caterpillar, road, boy, apple, ray, orange, baby, shark, lobster, woman, sunflower, bus, tiger, crocodile, seal, fox, mouse, kangaroo