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_0694)
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 | cosine |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 694 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9973 |
| Val Accuracy | 0.8864 |
| Test Accuracy | 0.8874 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lamp, telephone, shrew, crocodile, camel, motorcycle, fox, snail, oak_tree, shark, boy, bridge, bee, butterfly, tiger, beaver, tulip, bicycle, bed, chair, cloud, spider, mouse, skunk, mushroom, pine_tree, streetcar, worm, tank, squirrel, snake, bowl, cockroach, rose, bear, turtle, plain, dinosaur, couch, sea, seal, baby, lion, man, lobster, road, table, tractor, maple_tree, television