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 | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 382 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9390 |
| Val Accuracy | 0.8459 |
| Test Accuracy | 0.8466 |
The model was fine-tuned on the following 50 CIFAR100 classes:
poppy, beaver, plate, girl, chimpanzee, boy, mushroom, pear, bed, porcupine, bear, castle, shrew, turtle, bridge, forest, bicycle, fox, woman, camel, wardrobe, cloud, crab, bee, willow_tree, orange, dolphin, tiger, hamster, cockroach, butterfly, cattle, bus, couch, leopard, raccoon, rocket, rose, apple, lawn_mower, trout, tank, otter, table, mouse, bottle, crocodile, baby, sweet_pepper, snake
Base model
facebook/vit-mae-base