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_0919)
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 | 0.0001 |
| LR Scheduler | constant |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 919 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9361 |
| Val Accuracy | 0.8493 |
| Test Accuracy | 0.8374 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
fox, snail, worm, chair, beaver, couch, keyboard, tulip, boy, pickup_truck, lawn_mower, sweet_pepper, pear, snake, bee, forest, orange, cattle, skunk, mountain, lion, poppy, rose, dinosaur, lizard, porcupine, bottle, apple, raccoon, crocodile, oak_tree, bicycle, can, bus, hamster, bowl, telephone, castle, flatfish, shark, plain, lobster, sea, cloud, willow_tree, clock, baby, bed, wardrobe, road