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_0515)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 515 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9986 |
| Val Accuracy | 0.8992 |
| Test Accuracy | 0.9036 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chimpanzee, dinosaur, crab, clock, train, crocodile, house, television, raccoon, fox, cup, aquarium_fish, rocket, worm, spider, bottle, otter, pear, wolf, seal, tulip, castle, lobster, maple_tree, hamster, bed, pine_tree, butterfly, flatfish, tank, orchid, tractor, rose, man, chair, sunflower, ray, streetcar, couch, trout, lion, pickup_truck, sea, wardrobe, palm_tree, willow_tree, squirrel, caterpillar, bridge, girl