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_0270)
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 | val |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0003 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 270 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8579 |
| Val Accuracy | 0.7653 |
| Test Accuracy | 0.7608 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
orange, cup, sweet_pepper, lizard, rocket, can, apple, bicycle, willow_tree, beetle, crab, plate, television, forest, snail, streetcar, bed, wardrobe, sunflower, caterpillar, seal, lamp, chimpanzee, mouse, mushroom, clock, tank, shark, raccoon, bowl, bear, wolf, tulip, crocodile, maple_tree, man, plain, butterfly, porcupine, whale, bottle, trout, dolphin, telephone, rabbit, bridge, mountain, possum, otter, oak_tree