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_0009)
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 | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 9 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.3387 |
| Val Accuracy | 0.3037 |
| Test Accuracy | 0.3170 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cattle, squirrel, sweet_pepper, pine_tree, lizard, spider, snake, sunflower, tulip, caterpillar, snail, rose, cloud, tractor, clock, pear, raccoon, otter, porcupine, rocket, shrew, cup, leopard, motorcycle, bridge, man, sea, baby, bee, road, tank, worm, oak_tree, lamp, camel, cockroach, hamster, lobster, woman, orange, shark, ray, can, beaver, willow_tree, skunk, beetle, trout, crab, apple