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_0701)
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 | 0.0003 |
| LR Scheduler | constant_with_warmup |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 701 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.3536 |
| Val Accuracy | 0.3032 |
| Test Accuracy | 0.3084 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
possum, maple_tree, butterfly, elephant, sea, forest, clock, willow_tree, kangaroo, skyscraper, bicycle, sunflower, bus, bed, orchid, plate, rose, rabbit, crab, streetcar, caterpillar, boy, snail, sweet_pepper, plain, aquarium_fish, tiger, wolf, hamster, mountain, couch, flatfish, raccoon, tank, bee, woman, lamp, beaver, rocket, pickup_truck, pear, beetle, mushroom, television, worm, chair, man, bottle, cattle, shrew