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_0997)
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 | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 997 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9256 |
| Val Accuracy | 0.7603 |
| Test Accuracy | 0.7632 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
otter, leopard, keyboard, clock, tractor, dolphin, cattle, dinosaur, boy, aquarium_fish, bicycle, chimpanzee, seal, snake, sea, orange, can, mouse, shark, porcupine, lion, skunk, shrew, butterfly, chair, cup, kangaroo, bottle, wardrobe, lamp, raccoon, pear, bus, bee, tank, camel, squirrel, bed, rocket, wolf, pickup_truck, sunflower, motorcycle, cockroach, hamster, telephone, tiger, plain, table, mountain