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_0141)
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 |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 141 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.3643 |
| Val Accuracy | 0.3312 |
| Test Accuracy | 0.3400 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
sweet_pepper, porcupine, poppy, elephant, whale, beetle, flatfish, cattle, snake, possum, telephone, couch, clock, table, dolphin, orange, shrew, crocodile, hamster, house, tank, pine_tree, boy, rocket, snail, bed, cockroach, sea, caterpillar, lobster, aquarium_fish, spider, man, road, shark, streetcar, castle, bear, tiger, turtle, cup, rabbit, skunk, train, crab, beaver, girl, palm_tree, dinosaur, sunflower