ProbeX/Model-J__MAE__model_idx_0491

Model-J: MAE Model (model_idx_0491)

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	3e-05
LR Scheduler	constant
Epochs	2
Max Train Steps	666
Batch Size	64
Weight Decay	0.005
Seed	491
Random Crop	False
Random Flip	True

Performance

Metric	Value
Train Accuracy	0.8824
Val Accuracy	0.8285
Test Accuracy	0.8334

Training Categories

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

road, pickup_truck, sweet_pepper, mouse, cloud, maple_tree, rabbit, skunk, pine_tree, otter, sunflower, turtle, boy, keyboard, caterpillar, elephant, crab, plate, dolphin, rocket, camel, bottle, woman, pear, ray, plain, willow_tree, poppy, lizard, seal, possum, mountain, rose, chair, oak_tree, tiger, hamster, lamp, couch, dinosaur, tank, skyscraper, raccoon, beetle, castle, butterfly, flatfish, tractor, spider, fox