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_0132)
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 | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 132 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9993 |
| Val Accuracy | 0.9240 |
| Test Accuracy | 0.9204 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mushroom, house, couch, seal, can, crab, woman, shrew, porcupine, tiger, orchid, leopard, bee, crocodile, pine_tree, beaver, orange, table, hamster, chimpanzee, rose, aquarium_fish, spider, tank, streetcar, lawn_mower, willow_tree, sweet_pepper, man, plain, cockroach, bicycle, baby, keyboard, beetle, lion, bridge, apple, fox, wolf, pickup_truck, cup, clock, boy, snail, caterpillar, forest, worm, raccoon, tractor