Model-J: MAE Model (model_idx_0968)
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 | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 968 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9741 |
| Val Accuracy | 0.8677 |
| Test Accuracy | 0.8842 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lamp, rabbit, motorcycle, skunk, orchid, wardrobe, man, butterfly, telephone, cup, girl, couch, bed, crab, baby, can, lawn_mower, sea, aquarium_fish, willow_tree, snail, skyscraper, flatfish, wolf, lobster, apple, trout, sunflower, forest, leopard, cloud, squirrel, tulip, pear, television, chimpanzee, poppy, whale, kangaroo, beaver, streetcar, train, elephant, worm, chair, tiger, cockroach, orange, beetle, rocket
