Model-J: MAE Model (model_idx_0675)
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 | 0.0001 |
| LR Scheduler | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 675 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9961 |
| Val Accuracy | 0.8973 |
| Test Accuracy | 0.8942 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tiger, snail, butterfly, bridge, forest, raccoon, whale, chimpanzee, bowl, flatfish, apple, shrew, lion, girl, seal, bus, lobster, cup, bed, woman, maple_tree, chair, mountain, shark, bottle, beetle, bear, aquarium_fish, wolf, streetcar, skunk, couch, tank, elephant, spider, orchid, porcupine, lamp, oak_tree, clock, squirrel, cockroach, hamster, kangaroo, dolphin, keyboard, lawn_mower, bee, trout, plain
