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_0871)
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 | 7e-05 |
| LR Scheduler | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 871 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9954 |
| Val Accuracy | 0.8968 |
| Test Accuracy | 0.8982 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bee, television, keyboard, rocket, mushroom, tractor, otter, motorcycle, bottle, whale, porcupine, cloud, palm_tree, sweet_pepper, oak_tree, snail, fox, shark, cattle, orange, possum, trout, pickup_truck, chair, streetcar, sea, lobster, bus, rabbit, can, dinosaur, beaver, bridge, lawn_mower, lion, boy, hamster, couch, beetle, cup, crab, chimpanzee, leopard, aquarium_fish, orchid, pine_tree, bear, shrew, seal, elephant