Model-J: MAE Model (model_idx_0061)
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 | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 61 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9624 |
| Val Accuracy | 0.8683 |
| Test Accuracy | 0.8642 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chair, forest, television, mushroom, clock, rocket, streetcar, woman, tiger, girl, willow_tree, tank, squirrel, dinosaur, aquarium_fish, raccoon, mouse, tractor, dolphin, oak_tree, telephone, sweet_pepper, porcupine, poppy, can, rose, beetle, otter, lobster, hamster, bottle, lizard, bowl, crab, sunflower, man, wardrobe, camel, skunk, maple_tree, bus, house, shrew, trout, plain, sea, mountain, road, lamp, bridge
