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_0686)
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_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 686 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9995 |
| Val Accuracy | 0.9184 |
| Test Accuracy | 0.9242 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pickup_truck, lawn_mower, chimpanzee, tiger, bicycle, chair, lizard, whale, forest, rocket, tractor, flatfish, beetle, pear, mountain, trout, maple_tree, orchid, sunflower, cattle, streetcar, television, wardrobe, orange, apple, bed, mouse, skyscraper, bottle, hamster, skunk, wolf, rose, elephant, possum, lamp, oak_tree, beaver, snail, bear, shark, can, lobster, pine_tree, ray, camel, bus, aquarium_fish, plate, road