ProbeX/Model-J__MAE__model_idx_0423

Model-J: MAE Model (model_idx_0423)

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

Training Hyperparameters

Parameter	Value
Learning Rate	9e-05
LR Scheduler	cosine_with_restarts
Epochs	2
Max Train Steps	666
Batch Size	64
Weight Decay	0.009
Seed	423
Random Crop	True
Random Flip	False

Performance

Metric	Value
Train Accuracy	0.9163
Val Accuracy	0.8573
Test Accuracy	0.8524

Training Categories

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

can, tulip, trout, pine_tree, boy, couch, bed, orange, pickup_truck, bicycle, maple_tree, elephant, keyboard, lion, aquarium_fish, wolf, clock, dolphin, shrew, beetle, porcupine, plate, tank, motorcycle, hamster, caterpillar, skyscraper, skunk, oak_tree, willow_tree, cup, tiger, lawn_mower, lamp, pear, beaver, possum, otter, bowl, snail, snake, cockroach, squirrel, bear, castle, sweet_pepper, chair, girl, sea, worm