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_0113)
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 | 0.0003 |
| LR Scheduler | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 113 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9378 |
| Val Accuracy | 0.7763 |
| Test Accuracy | 0.7628 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rose, television, road, leopard, crab, clock, rocket, tiger, cattle, fox, oak_tree, trout, seal, squirrel, chimpanzee, woman, willow_tree, snail, telephone, poppy, girl, apple, boy, hamster, cockroach, mouse, lizard, elephant, dinosaur, tank, shark, plate, castle, lion, house, ray, possum, snake, kangaroo, lamp, man, raccoon, lobster, bear, plain, table, aquarium_fish, mushroom, motorcycle, flatfish