Model-J: MAE Model (model_idx_0379)
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 | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 379 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.8277 |
| Val Accuracy | 0.7256 |
| Test Accuracy | 0.7402 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tiger, streetcar, fox, man, boy, keyboard, pear, plate, beaver, bridge, clock, chimpanzee, rabbit, couch, ray, seal, rose, kangaroo, table, bee, orchid, otter, lion, mountain, forest, crab, dinosaur, tractor, rocket, road, bicycle, mushroom, crocodile, sunflower, wardrobe, bottle, aquarium_fish, dolphin, plain, elephant, whale, bed, raccoon, baby, skunk, bear, butterfly, tulip, willow_tree, lizard
