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_0535)
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 | 7e-05 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 535 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9293 |
| Test Accuracy | 0.9238 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
poppy, pickup_truck, bee, otter, mouse, trout, shark, house, dolphin, bicycle, oak_tree, turtle, lobster, whale, raccoon, woman, leopard, mountain, bus, spider, bed, bottle, skunk, worm, plain, crab, aquarium_fish, skyscraper, crocodile, butterfly, palm_tree, fox, wardrobe, man, keyboard, chimpanzee, couch, rabbit, castle, rose, tank, kangaroo, beetle, dinosaur, tiger, streetcar, bridge, flatfish, shrew, camel