Model-J MAE
Collection
1002 items • Updated
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("ProbeX/Model-J__MAE__model_idx_0896")
model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__MAE__model_idx_0896")Quick Links
Model-J: MAE Model (model_idx_0896)
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 | test |
| Base Model | facebook/vit-mae-base |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 896 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9099 |
| Test Accuracy | 0.9096 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
squirrel, crocodile, cloud, chimpanzee, television, skunk, wardrobe, whale, trout, forest, keyboard, couch, rose, streetcar, apple, mushroom, bus, bridge, bicycle, poppy, plate, motorcycle, lion, clock, fox, caterpillar, palm_tree, leopard, rocket, train, bottle, turtle, raccoon, butterfly, elephant, porcupine, hamster, kangaroo, pickup_truck, woman, dinosaur, snake, cockroach, otter, chair, pine_tree, boy, dolphin, lobster, baby
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Model tree for ProbeX/Model-J__MAE__model_idx_0896
Base model
facebook/vit-mae-base
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProbeX/Model-J__MAE__model_idx_0896") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")