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_0008)
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 | 7e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 8 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9141 |
| Test Accuracy | 0.9126 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
oak_tree, worm, skyscraper, snake, rabbit, telephone, streetcar, rocket, possum, table, plain, rose, crocodile, chimpanzee, castle, man, keyboard, couch, aquarium_fish, bicycle, mushroom, otter, cup, wolf, plate, can, orange, sunflower, willow_tree, boy, road, tulip, mouse, forest, bridge, girl, house, cattle, bee, lobster, flatfish, television, bed, crab, pickup_truck, baby, whale, trout, kangaroo, skunk