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_0875)
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 | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 875 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9227 |
| Test Accuracy | 0.9250 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
crab, table, raccoon, woman, turtle, shrew, pickup_truck, bridge, tractor, seal, wardrobe, plate, rocket, lion, road, shark, fox, cattle, cloud, orchid, television, dinosaur, dolphin, telephone, sweet_pepper, flatfish, willow_tree, ray, otter, orange, sea, bowl, pear, beetle, caterpillar, butterfly, couch, bicycle, girl, streetcar, rabbit, elephant, mushroom, man, tiger, bear, keyboard, mountain, mouse, bee