Model-J: MAE Model (model_idx_0929)
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
ProbeXModel Details
| Attribute | Value |
|---|
| Subset | MAE |
| Split | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 929 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.7915 |
| Test Accuracy | 0.7922 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
camel, lamp, chimpanzee, bridge, plain, squirrel, apple, seal, pine_tree, rose, clock, road, bicycle, chair, plate, pickup_truck, dinosaur, cockroach, flatfish, baby, possum, palm_tree, castle, cup, leopard, lawn_mower, can, kangaroo, butterfly, skunk, orchid, lion, beetle, snake, lizard, girl, willow_tree, streetcar, bus, shark, ray, hamster, lobster, tiger, aquarium_fish, spider, sea, maple_tree, mushroom, whale
