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_0318)
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 | constant |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 318 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.2974 |
| Val Accuracy | 0.2739 |
| Test Accuracy | 0.2746 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
sunflower, shrew, can, bear, train, lobster, seal, plate, pickup_truck, tiger, ray, otter, cup, poppy, willow_tree, bowl, palm_tree, whale, pear, lamp, beetle, beaver, bicycle, shark, mouse, forest, castle, couch, butterfly, tank, hamster, dolphin, raccoon, bottle, lizard, bridge, chair, sweet_pepper, plain, baby, bus, maple_tree, skunk, motorcycle, mountain, mushroom, orange, turtle, dinosaur, crab