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_0887)
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 | 0.0001 |
| LR Scheduler | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 887 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9688 |
| Val Accuracy | 0.8277 |
| Test Accuracy | 0.8258 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
palm_tree, turtle, pine_tree, sunflower, bus, woman, shrew, crocodile, kangaroo, clock, possum, sweet_pepper, fox, butterfly, apple, pear, orchid, oak_tree, bee, poppy, bottle, bowl, mountain, crab, baby, mushroom, lizard, lawn_mower, spider, tiger, bicycle, rose, elephant, dolphin, leopard, mouse, telephone, beaver, couch, pickup_truck, snake, otter, shark, willow_tree, tractor, lamp, raccoon, lion, bear, plate