Model-J DINO
Collection
1002 items
โข
Updated
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
๐ Project | ๐ Paper | ๐ป GitHub | ๐ค Dataset
| Attribute | Value |
|---|---|
| Subset | DINO |
| Split | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0001 |
| LR Scheduler | cosine |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 863 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9996 |
| Val Accuracy | 0.9083 |
| Test Accuracy | 0.9000 |
The model was fine-tuned on the following 50 CIFAR100 classes:
caterpillar, oak_tree, house, tank, keyboard, motorcycle, snail, shrew, beetle, aquarium_fish, can, crab, palm_tree, cockroach, lamp, porcupine, kangaroo, hamster, trout, mouse, television, possum, fox, willow_tree, girl, pickup_truck, tractor, beaver, orange, rabbit, table, bottle, road, streetcar, bed, tiger, forest, cattle, train, pine_tree, bear, whale, rocket, mountain, maple_tree, flatfish, wardrobe, pear, bus, skyscraper
Base model
facebook/dino-vitb16