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_0079)
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 | 3e-05 |
| LR Scheduler | linear |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 79 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9906 |
| Val Accuracy | 0.8643 |
| Test Accuracy | 0.8644 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
raccoon, camel, chimpanzee, orange, palm_tree, forest, hamster, lamp, turtle, streetcar, sunflower, porcupine, cloud, man, otter, bridge, dinosaur, snail, woman, crocodile, bed, possum, ray, maple_tree, kangaroo, bus, rabbit, can, cattle, television, leopard, lawn_mower, oak_tree, cockroach, poppy, table, caterpillar, lobster, skunk, pine_tree, beaver, sea, pickup_truck, plain, baby, apple, house, orchid, shrew, elephant