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_0565)
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 | 7e-05 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 565 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9958 |
| Val Accuracy | 0.9029 |
| Test Accuracy | 0.8964 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lamp, baby, dolphin, lion, dinosaur, house, keyboard, plate, otter, tulip, palm_tree, crocodile, raccoon, mushroom, tractor, boy, camel, skunk, leopard, shrew, bicycle, tiger, crab, sweet_pepper, clock, bear, beaver, hamster, apple, chair, rocket, telephone, seal, lizard, pine_tree, willow_tree, castle, spider, can, cockroach, chimpanzee, couch, television, man, lawn_mower, plain, woman, kangaroo, maple_tree, flatfish