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_0805)
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 | constant_with_warmup |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 805 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9639 |
| Val Accuracy | 0.8429 |
| Test Accuracy | 0.8478 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
wardrobe, willow_tree, can, bee, bridge, rabbit, worm, cloud, lobster, telephone, train, kangaroo, raccoon, pickup_truck, beetle, wolf, chimpanzee, forest, streetcar, seal, squirrel, rose, skyscraper, crocodile, butterfly, lion, chair, castle, snake, porcupine, fox, leopard, cattle, girl, tank, elephant, pine_tree, oak_tree, bicycle, skunk, bus, road, lamp, tiger, sea, pear, possum, dinosaur, rocket, shrew