Model-J: MAE Model (model_idx_0174)
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 | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 174 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9516 |
| Val Accuracy | 0.8715 |
| Test Accuracy | 0.8584 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dolphin, cattle, leopard, tractor, mushroom, motorcycle, skyscraper, telephone, spider, beetle, bottle, lamp, woman, sweet_pepper, orange, snail, man, mountain, castle, keyboard, lawn_mower, chair, cup, dinosaur, willow_tree, bus, apple, streetcar, crab, oak_tree, plate, flatfish, porcupine, palm_tree, caterpillar, turtle, orchid, shrew, butterfly, mouse, fox, bee, whale, tulip, rose, wolf, possum, bowl, skunk, house
