ProbeX/Model-J__MAE__model_idx_0755

Model-J: MAE Model (model_idx_0755)

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	9e-05
LR Scheduler	linear
Epochs	8
Max Train Steps	2664
Batch Size	64
Weight Decay	0.005
Seed	755
Random Crop	False
Random Flip	False

Performance

Metric	Value
Train Accuracy	0.9998
Val Accuracy	0.9013
Test Accuracy	0.9030

Training Categories

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

fox, flatfish, porcupine, woman, lobster, snake, castle, spider, worm, leopard, clock, lamp, shark, girl, hamster, mushroom, bear, pickup_truck, streetcar, mouse, bottle, trout, skyscraper, plain, television, house, bicycle, chair, tank, baby, snail, sea, rose, wardrobe, cockroach, wolf, forest, shrew, table, road, oak_tree, tractor, pear, couch, pine_tree, butterfly, orange, can, seal, elephant