Model-J: MAE Model (model_idx_0151)
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 | 0.0003 |
| LR Scheduler | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 151 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9981 |
| Val Accuracy | 0.8544 |
| Test Accuracy | 0.8490 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
butterfly, telephone, road, orchid, skyscraper, willow_tree, seal, squirrel, lion, worm, pine_tree, kangaroo, tractor, poppy, pickup_truck, lamp, maple_tree, baby, oak_tree, dolphin, mouse, leopard, streetcar, mountain, lobster, ray, palm_tree, otter, plain, pear, lizard, bowl, clock, sweet_pepper, crocodile, dinosaur, elephant, camel, cattle, bottle, trout, shrew, bridge, snake, shark, porcupine, couch, television, spider, fox
