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_0450)
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 | 0.0003 |
| LR Scheduler | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 450 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.4142 |
| Val Accuracy | 0.3595 |
| Test Accuracy | 0.3714 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
dinosaur, apple, tiger, butterfly, rocket, porcupine, woman, seal, tractor, lawn_mower, wolf, rose, mouse, cockroach, orange, pine_tree, beaver, keyboard, ray, man, beetle, whale, television, poppy, plain, aquarium_fish, chair, bicycle, kangaroo, rabbit, hamster, lobster, streetcar, cattle, palm_tree, pear, trout, table, turtle, bed, elephant, shark, bee, flatfish, road, fox, mountain, raccoon, lizard, tulip