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_0381)
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_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 381 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.8630 |
| Val Accuracy | 0.5403 |
| Test Accuracy | 0.5392 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
castle, television, palm_tree, raccoon, turtle, mushroom, clock, bus, crocodile, telephone, dolphin, table, can, crab, squirrel, forest, pear, rose, sea, cloud, boy, seal, tank, bowl, mountain, snail, house, kangaroo, skyscraper, chair, beetle, skunk, orchid, tulip, shrew, lion, dinosaur, shark, willow_tree, motorcycle, worm, train, whale, bottle, baby, leopard, otter, porcupine, woman, road