Model-J: MAE Model (model_idx_0335)
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 | 3e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 335 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.8704 |
| Val Accuracy | 0.8077 |
| Test Accuracy | 0.8152 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
crocodile, bicycle, table, tulip, butterfly, bee, camel, streetcar, lobster, wolf, turtle, can, flatfish, apple, telephone, pine_tree, porcupine, rocket, sunflower, skunk, orange, possum, man, plate, wardrobe, skyscraper, road, mushroom, mouse, chimpanzee, dolphin, shark, cattle, orchid, tank, cup, bed, rose, beetle, snail, dinosaur, house, tiger, woman, seal, elephant, maple_tree, hamster, girl, rabbit
