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_0614)
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 | 7e-05 |
| LR Scheduler | cosine |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 614 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9926 |
| Val Accuracy | 0.9117 |
| Test Accuracy | 0.9196 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
beaver, dinosaur, boy, plate, otter, pine_tree, raccoon, orange, possum, streetcar, flatfish, cockroach, lobster, bowl, shark, sweet_pepper, forest, motorcycle, bottle, girl, rocket, couch, tank, pickup_truck, keyboard, road, woman, skunk, fox, beetle, camel, orchid, mountain, shrew, bear, lizard, ray, lion, television, sunflower, mushroom, hamster, baby, chair, bridge, lawn_mower, apple, maple_tree, skyscraper, palm_tree