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 | 0.007 |
| Seed | 876 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9689 |
| Val Accuracy | 0.8789 |
| Test Accuracy | 0.8744 |
The model was fine-tuned on the following 50 CIFAR100 classes:
maple_tree, man, bottle, turtle, crab, hamster, tank, shrew, lizard, apple, wardrobe, keyboard, bridge, skunk, sea, orange, bee, couch, willow_tree, boy, tractor, forest, chimpanzee, whale, dolphin, shark, snake, beetle, woman, bowl, television, road, chair, poppy, caterpillar, palm_tree, cockroach, streetcar, sweet_pepper, wolf, cloud, mouse, telephone, leopard, otter, house, worm, cup, tiger, beaver
Base model
facebook/vit-mae-base