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_0644)
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 | 5e-05 |
| LR Scheduler | cosine |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 644 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9603 |
| Val Accuracy | 0.8691 |
| Test Accuracy | 0.8806 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
leopard, skyscraper, lobster, trout, oak_tree, mushroom, orange, rabbit, telephone, castle, maple_tree, bicycle, streetcar, flatfish, apple, road, shrew, hamster, television, dinosaur, bowl, bridge, chimpanzee, forest, plate, clock, pear, man, pickup_truck, keyboard, squirrel, sweet_pepper, motorcycle, whale, lawn_mower, cup, orchid, dolphin, bus, couch, boy, rose, cloud, turtle, snail, ray, lion, house, cockroach, baby