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_0940)
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 | 7e-05 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 940 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9256 |
| Test Accuracy | 0.9198 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
wardrobe, shrew, lion, sweet_pepper, pine_tree, clock, poppy, seal, bee, possum, dolphin, cloud, bridge, pear, house, snake, plain, raccoon, orange, chair, castle, cockroach, otter, tulip, mushroom, spider, elephant, bus, squirrel, hamster, chimpanzee, motorcycle, rose, skunk, butterfly, ray, mouse, man, tiger, mountain, orchid, dinosaur, whale, boy, palm_tree, sunflower, plate, table, apple, bowl