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_0210)
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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 9e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 210 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9208 |
| Test Accuracy | 0.9166 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
bear, mountain, pear, sea, girl, trout, flatfish, cup, road, lizard, porcupine, wardrobe, apple, willow_tree, leopard, possum, otter, plate, elephant, cockroach, spider, rose, orchid, rocket, tulip, house, shrew, bridge, tractor, bowl, table, palm_tree, tank, bee, dinosaur, chair, lobster, snail, turtle, streetcar, keyboard, seal, pine_tree, sunflower, telephone, lamp, caterpillar, lawn_mower, ray, dolphin