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_0875)
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 | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 875 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9837 |
| Val Accuracy | 0.8883 |
| Test Accuracy | 0.8838 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
castle, porcupine, lawn_mower, pine_tree, willow_tree, rabbit, pickup_truck, cattle, kangaroo, plate, can, tulip, oak_tree, possum, seal, rocket, bear, table, maple_tree, sea, bus, woman, poppy, skunk, cup, flatfish, mountain, cockroach, house, snake, sunflower, elephant, shrew, trout, crocodile, whale, otter, squirrel, lamp, crab, snail, wardrobe, hamster, dolphin, turtle, baby, tank, cloud, chair, lobster