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_0081)
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 | 5e-05 |
| LR Scheduler | constant |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 81 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9824 |
| Val Accuracy | 0.8693 |
| Test Accuracy | 0.8680 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pear, chair, girl, television, possum, beetle, bus, bridge, mushroom, otter, keyboard, plain, hamster, poppy, motorcycle, woman, man, forest, spider, trout, telephone, butterfly, cockroach, lamp, bear, crocodile, mouse, cloud, tulip, orchid, boy, mountain, aquarium_fish, bee, palm_tree, lizard, table, willow_tree, orange, train, raccoon, bed, chimpanzee, bowl, bottle, rose, porcupine, sweet_pepper, sunflower, road