Model-J: MAE Model (model_idx_0847)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 847 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9974 |
| Val Accuracy | 0.8981 |
| Test Accuracy | 0.8900 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lobster, cattle, orchid, rose, mountain, possum, plain, otter, porcupine, sweet_pepper, whale, bed, worm, maple_tree, dolphin, tank, willow_tree, snail, plate, cockroach, snake, raccoon, shrew, man, sea, cup, cloud, wardrobe, pear, trout, bee, lamp, lawn_mower, palm_tree, lion, road, pine_tree, lizard, hamster, castle, baby, beetle, bridge, chair, kangaroo, turtle, squirrel, table, dinosaur, ray
