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_0740)
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 | 7e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 740 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9179 |
| Val Accuracy | 0.8680 |
| Test Accuracy | 0.8674 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
camel, hamster, chair, streetcar, crocodile, apple, man, chimpanzee, dolphin, flatfish, beetle, lion, tulip, television, leopard, cockroach, beaver, trout, crab, pickup_truck, shark, baby, boy, otter, tractor, lawn_mower, bridge, sweet_pepper, bicycle, shrew, skunk, sunflower, pear, wolf, bear, mushroom, rose, road, kangaroo, bee, porcupine, orchid, orange, aquarium_fish, maple_tree, dinosaur, caterpillar, couch, plate, telephone