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_0515)
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 | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 515 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9997 |
| Val Accuracy | 0.9144 |
| Test Accuracy | 0.9164 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
lizard, bee, worm, bear, tulip, aquarium_fish, kangaroo, television, hamster, lawn_mower, chimpanzee, lobster, rose, beaver, chair, streetcar, butterfly, boy, fox, skyscraper, orchid, leopard, snake, tank, rocket, bottle, turtle, mountain, palm_tree, shrew, mushroom, mouse, tractor, camel, willow_tree, pickup_truck, couch, tiger, oak_tree, baby, elephant, plain, house, cloud, raccoon, crocodile, squirrel, man, sweet_pepper, wardrobe