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_0667)
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 | 0.0005 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 667 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.6512 |
| Val Accuracy | 0.4155 |
| Test Accuracy | 0.4064 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mouse, plain, castle, can, beetle, trout, squirrel, lizard, whale, man, flatfish, orange, train, spider, worm, fox, palm_tree, wolf, butterfly, tractor, table, willow_tree, shark, bee, porcupine, crocodile, lawn_mower, elephant, turtle, dinosaur, plate, sunflower, skunk, oak_tree, bottle, bicycle, clock, pear, couch, hamster, seal, chimpanzee, mountain, leopard, lobster, motorcycle, woman, rocket, tank, cattle