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_0314)
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 | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 314 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8624 |
| Val Accuracy | 0.7960 |
| Test Accuracy | 0.8010 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
ray, lawn_mower, pickup_truck, lion, streetcar, sunflower, dolphin, leopard, seal, beaver, rose, sea, kangaroo, maple_tree, bowl, girl, tiger, squirrel, baby, mouse, butterfly, lizard, can, woman, fox, snail, orchid, rabbit, otter, turtle, man, clock, apple, boy, crab, tractor, cloud, shrew, lamp, house, plate, keyboard, bus, hamster, willow_tree, palm_tree, pine_tree, raccoon, poppy, bee