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_0699)
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 | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 699 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8020 |
| Val Accuracy | 0.7165 |
| Test Accuracy | 0.7072 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
house, forest, otter, beetle, chimpanzee, whale, man, beaver, television, fox, poppy, dolphin, train, skyscraper, bus, palm_tree, shrew, streetcar, lizard, seal, hamster, caterpillar, tiger, lion, dinosaur, tank, pear, elephant, rabbit, porcupine, cockroach, turtle, shark, lobster, plate, raccoon, woman, ray, cup, telephone, orchid, worm, rose, snake, keyboard, boy, lamp, possum, pine_tree, snail