metadata
base_model: facebook/vit-mae-base
library_name: transformers
pipeline_tag: image-classification
tags:
- probex
- model-j
- weight-space-learning
Model-J: MAE Model (model_idx_0738)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | MAE |
| Split | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 738 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.6897 |
| Val Accuracy | 0.5731 |
| Test Accuracy | 0.5786 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
beetle, orchid, sunflower, bottle, cup, bowl, house, pickup_truck, castle, bear, woman, mouse, palm_tree, caterpillar, dinosaur, kangaroo, tiger, baby, squirrel, telephone, ray, aquarium_fish, pine_tree, skunk, beaver, oak_tree, pear, lizard, whale, lawn_mower, cattle, man, otter, wardrobe, crab, couch, porcupine, motorcycle, apple, wolf, snake, worm, bridge, cockroach, dolphin, fox, road, butterfly, bicycle, cloud