Model-J: MAE Model (model_idx_0148)
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 | cosine |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 148 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9969 |
| Val Accuracy | 0.8947 |
| Test Accuracy | 0.8854 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
poppy, leopard, cloud, road, bottle, crab, baby, dolphin, lion, ray, palm_tree, shrew, pear, orange, house, crocodile, aquarium_fish, snail, bee, man, sweet_pepper, hamster, camel, can, cockroach, tulip, fox, lawn_mower, skyscraper, clock, apple, lamp, raccoon, cattle, seal, girl, mushroom, dinosaur, lobster, turtle, mouse, rabbit, snake, plate, butterfly, shark, possum, beaver, telephone, otter
