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_0355)
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 | 0.0005 |
| LR Scheduler | constant_with_warmup |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 355 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.6363 |
| Val Accuracy | 0.4661 |
| Test Accuracy | 0.4658 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
shark, turtle, seal, pear, girl, aquarium_fish, possum, rose, tractor, caterpillar, willow_tree, baby, bee, leopard, couch, spider, boy, train, bicycle, sea, plate, bowl, chimpanzee, bus, cockroach, lobster, rabbit, forest, sweet_pepper, bottle, hamster, tulip, mushroom, sunflower, bed, tank, poppy, skunk, cloud, apple, pickup_truck, clock, orchid, wolf, otter, snail, bear, porcupine, dinosaur, kangaroo