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_0601)
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 | 7e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 601 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9917 |
| Val Accuracy | 0.9219 |
| Test Accuracy | 0.9210 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
hamster, seal, shark, bridge, baby, cloud, beetle, boy, possum, chimpanzee, crab, bowl, road, leopard, caterpillar, tulip, pickup_truck, whale, orange, trout, camel, woman, castle, tank, keyboard, rabbit, kangaroo, sea, bicycle, train, table, skunk, chair, crocodile, bed, mountain, apple, clock, house, bee, pine_tree, girl, plain, porcupine, bus, aquarium_fish, oak_tree, lawn_mower, willow_tree, lion