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_0605)
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 |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 605 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9729 |
| Val Accuracy | 0.8467 |
| Test Accuracy | 0.8440 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
rose, telephone, television, raccoon, apple, aquarium_fish, possum, cattle, maple_tree, whale, squirrel, bear, rocket, seal, crocodile, can, camel, orange, spider, chimpanzee, porcupine, butterfly, lobster, road, leopard, poppy, clock, ray, dinosaur, tractor, sunflower, kangaroo, wardrobe, lion, pine_tree, worm, motorcycle, man, mushroom, turtle, mountain, boy, snake, oak_tree, lawn_mower, shark, girl, bridge, tulip, shrew