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_0880)
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 | 5e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 880 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9992 |
| Val Accuracy | 0.9432 |
| Test Accuracy | 0.9362 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
snake, orange, possum, pear, wardrobe, ray, apple, crab, mushroom, shark, television, train, keyboard, can, orchid, raccoon, bottle, dinosaur, skunk, motorcycle, poppy, telephone, lion, pickup_truck, lamp, bicycle, tiger, woman, camel, cup, lizard, snail, bus, mountain, aquarium_fish, plate, streetcar, plain, girl, squirrel, leopard, elephant, beetle, shrew, porcupine, worm, crocodile, rocket, hamster, house