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_0038)
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 | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 38 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.8976 |
| Test Accuracy | 0.9072 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pickup_truck, can, whale, fox, dinosaur, butterfly, tiger, shrew, aquarium_fish, television, boy, bed, bee, pine_tree, table, lawn_mower, pear, orange, bridge, train, seal, bottle, rose, ray, orchid, baby, man, kangaroo, flatfish, sea, palm_tree, skyscraper, leopard, tulip, crab, elephant, trout, lizard, snail, lobster, rabbit, bear, willow_tree, shark, forest, beetle, girl, motorcycle, turtle, clock