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_0005)
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 | 3e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 5 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9859 |
| Val Accuracy | 0.9117 |
| Test Accuracy | 0.9002 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lawn_mower, fox, ray, pickup_truck, lamp, man, leopard, motorcycle, bus, house, bottle, dinosaur, snake, poppy, streetcar, plain, rocket, willow_tree, pine_tree, lizard, forest, porcupine, whale, otter, shrew, skyscraper, clock, apple, couch, crocodile, tank, sunflower, caterpillar, mountain, flatfish, telephone, shark, rabbit, hamster, pear, lobster, rose, possum, lion, worm, castle, bee, snail, skunk, wolf