Model-J: MAE Model (model_idx_0984)
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 | 5e-05 |
| LR Scheduler | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 984 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9512 |
| Val Accuracy | 0.8576 |
| Test Accuracy | 0.8520 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chair, woman, elephant, orange, otter, wardrobe, house, pine_tree, whale, sweet_pepper, couch, orchid, baby, bicycle, aquarium_fish, beetle, shark, mountain, lawn_mower, leopard, boy, spider, tank, oak_tree, tulip, pickup_truck, bear, rabbit, seal, snail, castle, cockroach, girl, shrew, cattle, lion, table, ray, rocket, man, sunflower, willow_tree, television, dinosaur, porcupine, raccoon, telephone, sea, apple, caterpillar
