Model-J MAE
Collection
1002 items
โข
Updated
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
๐ Project | ๐ Paper | ๐ป GitHub | ๐ค Dataset
| Attribute | Value |
|---|---|
| Subset | MAE |
| Split | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 7e-05 |
| LR Scheduler | cosine |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 815 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9536 |
| Val Accuracy | 0.9051 |
| Test Accuracy | 0.8842 |
The model was fine-tuned on the following 50 CIFAR100 classes:
girl, fox, pickup_truck, plain, apple, elephant, sunflower, streetcar, bed, aquarium_fish, bowl, table, wardrobe, possum, kangaroo, willow_tree, house, beetle, otter, cockroach, sea, snail, snake, butterfly, mouse, bottle, seal, dolphin, chair, mountain, caterpillar, motorcycle, keyboard, wolf, crocodile, man, ray, rocket, tiger, trout, cattle, cloud, palm_tree, rose, telephone, skunk, turtle, tulip, lobster, lion
Base model
facebook/vit-mae-base