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_0377)
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 | 7e-05 |
| LR Scheduler | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 377 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9986 |
| Val Accuracy | 0.9008 |
| Test Accuracy | 0.9084 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bear, mouse, wardrobe, leopard, willow_tree, boy, cloud, palm_tree, sunflower, plate, mushroom, bowl, motorcycle, bed, squirrel, bee, clock, castle, sweet_pepper, pine_tree, baby, lizard, plain, seal, shark, flatfish, table, can, streetcar, couch, pear, kangaroo, house, tank, cockroach, crab, sea, fox, rose, trout, snake, turtle, butterfly, aquarium_fish, mountain, caterpillar, skyscraper, orchid, beetle, bicycle