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_0426)
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 | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 3e-05 |
| LR Scheduler | linear |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 426 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9267 |
| Test Accuracy | 0.9180 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
orchid, lizard, ray, woman, lion, raccoon, can, tulip, mouse, table, sea, boy, flatfish, castle, poppy, mushroom, chimpanzee, turtle, bicycle, bridge, rose, porcupine, seal, couch, man, rocket, cockroach, camel, fox, elephant, aquarium_fish, bowl, pine_tree, bear, beaver, keyboard, pear, lobster, possum, wolf, beetle, mountain, plain, rabbit, snail, dinosaur, willow_tree, oak_tree, plate, tractor