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_0846)
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 | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 846 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9620 |
| Val Accuracy | 0.8653 |
| Test Accuracy | 0.8656 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bed, man, television, chair, keyboard, boy, bowl, sweet_pepper, squirrel, cloud, mushroom, sea, kangaroo, bridge, orange, poppy, hamster, butterfly, cattle, rose, dolphin, willow_tree, mountain, snake, tank, orchid, pickup_truck, plate, mouse, rocket, raccoon, lawn_mower, table, bottle, turtle, forest, woman, whale, otter, leopard, porcupine, bicycle, plain, dinosaur, streetcar, tiger, bus, elephant, cockroach, pine_tree