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_0749)
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 | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 749 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9245 |
| Test Accuracy | 0.9234 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
telephone, lizard, chair, tulip, skyscraper, bottle, streetcar, butterfly, porcupine, sunflower, poppy, cattle, television, turtle, bed, chimpanzee, lion, raccoon, train, orchid, tiger, pine_tree, plate, pear, tractor, tank, caterpillar, wolf, plain, can, fox, rose, elephant, girl, spider, flatfish, beaver, wardrobe, lamp, shark, bear, dolphin, skunk, house, road, woman, willow_tree, hamster, boy, lawn_mower