Model-J: MAE Model (model_idx_0414)

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	val
Base Model	`facebook/vit-mae-base`
Dataset	CIFAR100 (50 classes)

Training Hyperparameters

Parameter	Value
Learning Rate	0.0003
LR Scheduler	cosine_with_restarts
Epochs	6
Max Train Steps	1998
Batch Size	64
Weight Decay	0.007
Seed	414
Random Crop	True
Random Flip	False

Performance

Metric	Value
Train Accuracy	0.9955
Val Accuracy	0.8245
Test Accuracy	0.8196

Training Categories

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

cup, orchid, plain, man, boy, otter, pickup_truck, chair, mushroom, poppy, lamp, sunflower, pine_tree, elephant, lizard, tulip, crocodile, lawn_mower, bridge, sea, butterfly, wolf, lobster, snail, pear, apple, raccoon, train, crab, bowl, television, squirrel, cockroach, kangaroo, bed, sweet_pepper, leopard, house, baby, dinosaur, road, table, possum, castle, telephone, trout, tiger, caterpillar, wardrobe, oak_tree