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_0547)
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 | test |
| 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 | 0.05 |
| Seed | 547 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9996 |
| Val Accuracy | 0.9171 |
| Test Accuracy | 0.9152 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
worm, tulip, house, cup, hamster, spider, dinosaur, skyscraper, mouse, shrew, butterfly, beaver, possum, lizard, bed, castle, couch, tiger, apple, ray, snake, beetle, road, leopard, can, rose, pine_tree, palm_tree, man, tank, bicycle, forest, trout, keyboard, caterpillar, mushroom, plain, crocodile, chair, poppy, pear, tractor, orange, bus, camel, sunflower, cattle, dolphin, otter, squirrel