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_0494)
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 | 0.0001 |
| LR Scheduler | linear |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 494 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9981 |
| Val Accuracy | 0.8989 |
| Test Accuracy | 0.8938 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bottle, pickup_truck, caterpillar, dolphin, seal, bicycle, tulip, cup, girl, pine_tree, snail, sea, chimpanzee, butterfly, bowl, boy, orange, pear, porcupine, skunk, whale, sunflower, rose, shark, camel, bridge, man, hamster, television, road, bee, beaver, oak_tree, leopard, forest, couch, wolf, mushroom, otter, streetcar, tiger, tank, keyboard, elephant, plate, lobster, beetle, chair, shrew, trout