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_0955)
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 | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 955 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.7457 |
| Val Accuracy | 0.5109 |
| Test Accuracy | 0.5208 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rabbit, lawn_mower, dolphin, willow_tree, forest, table, pickup_truck, bridge, hamster, sea, bottle, boy, fox, mushroom, telephone, plate, lizard, cup, crocodile, snail, whale, bus, orange, castle, bee, possum, can, maple_tree, tiger, rose, trout, sweet_pepper, cloud, baby, couch, tank, elephant, worm, beaver, apple, crab, pear, raccoon, woman, man, wolf, television, porcupine, streetcar, palm_tree