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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 272 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9984 |
| Val Accuracy | 0.9355 |
| Test Accuracy | 0.9354 |
The model was fine-tuned on the following 50 CIFAR100 classes:
camel, cloud, cockroach, table, mouse, chair, cattle, man, spider, elephant, poppy, keyboard, pine_tree, lizard, telephone, plain, rose, sweet_pepper, bus, tank, orchid, beetle, fox, cup, forest, porcupine, oak_tree, raccoon, motorcycle, plate, bee, shark, sea, dinosaur, mountain, lobster, butterfly, train, orange, wardrobe, bicycle, girl, bridge, tractor, trout, rocket, lawn_mower, bottle, worm, hamster
Base model
facebook/dino-vitb16