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_0191)
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 | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 191 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9396 |
| Val Accuracy | 0.8221 |
| Test Accuracy | 0.8214 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chair, bowl, whale, dinosaur, bottle, sea, tank, otter, hamster, lion, lizard, telephone, snake, crocodile, beetle, trout, woman, skyscraper, girl, rabbit, tulip, rose, mountain, dolphin, baby, tractor, streetcar, boy, bed, turtle, raccoon, maple_tree, orchid, butterfly, cattle, camel, pine_tree, worm, beaver, crab, possum, poppy, plain, lobster, man, cloud, seal, leopard, sweet_pepper, orange