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_0507)
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 | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 507 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.4454 |
| Val Accuracy | 0.3851 |
| Test Accuracy | 0.3760 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dinosaur, rocket, plate, fox, girl, flatfish, pine_tree, bear, shrew, maple_tree, mouse, snail, wolf, bed, lion, squirrel, beaver, bus, pear, motorcycle, lizard, pickup_truck, telephone, cup, leopard, shark, table, lamp, palm_tree, couch, beetle, woman, spider, poppy, television, orange, trout, turtle, skunk, forest, whale, aquarium_fish, cockroach, bridge, rabbit, hamster, tulip, skyscraper, chair, clock