metadata
base_model: facebook/dino-vitb16
library_name: transformers
pipeline_tag: image-classification
tags:
- probex
- model-j
- weight-space-learning
Model-J: DINO Model (model_idx_0865)
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 | DINO |
| Split | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 865 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9133 |
| Test Accuracy | 0.9156 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
aquarium_fish, pickup_truck, chimpanzee, baby, lamp, lion, poppy, motorcycle, willow_tree, palm_tree, bus, snake, mouse, caterpillar, turtle, hamster, plate, trout, mushroom, rocket, maple_tree, raccoon, sweet_pepper, rose, pear, bicycle, streetcar, bottle, plain, rabbit, sea, wardrobe, bear, apple, tank, orchid, bowl, bed, table, cloud, skunk, girl, house, bee, train, castle, forest, cup, tractor, woman