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_0581)
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 | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 581 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 1.0000 |
| Val Accuracy | 0.9197 |
| Test Accuracy | 0.9148 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
wardrobe, train, pine_tree, mountain, chimpanzee, trout, cattle, streetcar, tank, wolf, plate, forest, tulip, house, kangaroo, lion, snail, castle, elephant, woman, rabbit, mushroom, table, chair, whale, aquarium_fish, cloud, porcupine, cockroach, palm_tree, ray, rocket, bed, possum, tractor, lamp, orchid, man, cup, keyboard, bear, maple_tree, bicycle, turtle, otter, worm, oak_tree, willow_tree, tiger, dolphin