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_0284)
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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0003 |
| LR Scheduler | constant |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 284 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.3379 |
| Val Accuracy | 0.3176 |
| Test Accuracy | 0.3162 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
orchid, possum, tank, camel, tiger, spider, dolphin, ray, elephant, bus, plain, clock, snail, bear, aquarium_fish, bed, cloud, willow_tree, chair, couch, poppy, dinosaur, streetcar, beetle, house, sweet_pepper, forest, lion, road, castle, cup, otter, flatfish, can, baby, porcupine, girl, chimpanzee, oak_tree, rose, bridge, bowl, crocodile, bee, seal, whale, worm, tractor, keyboard, skyscraper