Model-J: MAE Model (model_idx_0637)
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 | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 637 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9345 |
| Val Accuracy | 0.8707 |
| Test Accuracy | 0.8602 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cup, otter, motorcycle, mouse, apple, plate, worm, table, mountain, bottle, bear, lion, cattle, television, ray, fox, telephone, maple_tree, elephant, sea, chimpanzee, chair, train, palm_tree, butterfly, oak_tree, hamster, cockroach, tank, sweet_pepper, crab, lawn_mower, kangaroo, streetcar, sunflower, dinosaur, forest, keyboard, tractor, snake, squirrel, pickup_truck, skyscraper, plain, house, wardrobe, leopard, lamp, bowl, raccoon
