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_0180)
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 | constant_with_warmup |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 180 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9459 |
| Val Accuracy | 0.8811 |
| Test Accuracy | 0.8776 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pickup_truck, hamster, tank, otter, butterfly, mushroom, can, whale, clock, plain, snake, elephant, raccoon, skyscraper, rabbit, caterpillar, cockroach, bowl, tulip, couch, television, lobster, willow_tree, keyboard, squirrel, mountain, snail, possum, castle, train, crab, bicycle, boy, camel, bed, leopard, bottle, girl, mouse, chair, orchid, woman, dolphin, pear, bear, pine_tree, maple_tree, bus, sunflower, plate