Model-J: MAE Model (model_idx_0774)
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 | 7e-05 |
| LR Scheduler | constant |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 774 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9580 |
| Val Accuracy | 0.8501 |
| Test Accuracy | 0.8540 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
boy, oak_tree, pickup_truck, lawn_mower, chair, camel, kangaroo, dinosaur, forest, leopard, couch, mushroom, wardrobe, motorcycle, clock, spider, orchid, porcupine, castle, snake, whale, beaver, lion, crab, sunflower, baby, man, telephone, otter, elephant, rocket, rabbit, lizard, poppy, mountain, cloud, bridge, possum, tractor, train, lamp, mouse, squirrel, dolphin, woman, rose, snail, bear, hamster, pine_tree
