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_0438)
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 | 0.0001 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 438 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9112 |
| Test Accuracy | 0.9102 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
kangaroo, crab, table, lawn_mower, clock, pickup_truck, skyscraper, bridge, chimpanzee, leopard, plain, crocodile, tank, snake, pine_tree, rose, skunk, trout, willow_tree, boy, caterpillar, shark, mouse, possum, mushroom, rocket, baby, raccoon, streetcar, keyboard, orange, tulip, cloud, apple, dinosaur, motorcycle, rabbit, whale, man, palm_tree, butterfly, lamp, lobster, wolf, seal, ray, shrew, tiger, wardrobe, turtle