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_0232)
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 | train |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 232 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9067 |
| Test Accuracy | 0.9052 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lobster, mountain, elephant, hamster, road, bear, camel, palm_tree, orchid, tulip, crab, turtle, aquarium_fish, porcupine, bee, wardrobe, boy, sea, cup, table, man, butterfly, bottle, willow_tree, bridge, lawn_mower, telephone, house, worm, pine_tree, caterpillar, leopard, rose, tractor, lamp, cloud, lizard, beetle, seal, tank, tiger, possum, skunk, sunflower, couch, television, keyboard, snake, skyscraper, clock