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 | train |
| 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 | 287 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9984 |
| Val Accuracy | 0.9027 |
| Test Accuracy | 0.9130 |
The model was fine-tuned on the following 50 CIFAR100 classes:
sweet_pepper, pickup_truck, sea, butterfly, camel, rabbit, plain, woman, trout, chair, possum, keyboard, cloud, kangaroo, orange, mountain, lawn_mower, lamp, television, forest, man, snail, sunflower, caterpillar, cattle, mouse, pear, beaver, dolphin, aquarium_fish, couch, lizard, rocket, squirrel, chimpanzee, raccoon, skyscraper, house, shrew, boy, worm, table, maple_tree, spider, crocodile, motorcycle, seal, pine_tree, hamster, girl
Base model
facebook/dino-vitb16