Model-J: MAE Model (model_idx_0472)
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 | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 472 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9497 |
| Val Accuracy | 0.8717 |
| Test Accuracy | 0.8820 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pine_tree, bus, crab, cockroach, man, flatfish, leopard, aquarium_fish, camel, rabbit, road, lobster, dinosaur, rocket, tank, tiger, lawn_mower, willow_tree, rose, wardrobe, forest, mushroom, cattle, bear, sea, bowl, woman, elephant, raccoon, cup, crocodile, orange, motorcycle, lizard, mouse, trout, boy, telephone, palm_tree, chair, lamp, skyscraper, tulip, clock, can, lion, orchid, bridge, beetle, otter
