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_0952)
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 | 5e-05 |
| LR Scheduler | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 952 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9021 |
| Test Accuracy | 0.9066 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mushroom, worm, rocket, telephone, oak_tree, dinosaur, motorcycle, tiger, couch, hamster, mouse, palm_tree, pine_tree, mountain, cup, squirrel, aquarium_fish, crab, baby, chimpanzee, otter, rabbit, lizard, shrew, crocodile, clock, pickup_truck, keyboard, cockroach, plate, trout, bee, tulip, skyscraper, possum, can, train, spider, lobster, bridge, tank, orchid, sweet_pepper, sunflower, skunk, orange, caterpillar, turtle, fox, tractor