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_0928)
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 | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 928 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9985 |
| Val Accuracy | 0.8992 |
| Test Accuracy | 0.8878 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bed, pear, castle, kangaroo, maple_tree, dinosaur, worm, palm_tree, streetcar, elephant, lion, sweet_pepper, ray, mushroom, television, dolphin, cattle, crab, lizard, fox, table, plate, pickup_truck, rabbit, leopard, butterfly, road, lobster, chair, squirrel, wolf, man, pine_tree, shrew, snail, mouse, wardrobe, woman, trout, seal, porcupine, plain, tulip, rose, house, sunflower, lawn_mower, shark, otter, chimpanzee