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 | 9e-05 |
| LR Scheduler | constant |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 13 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9497 |
| Val Accuracy | 0.8536 |
| Test Accuracy | 0.8448 |
The model was fine-tuned on the following 50 CIFAR100 classes:
crocodile, sunflower, pine_tree, castle, plain, can, cockroach, otter, lamp, mushroom, trout, sweet_pepper, beetle, cloud, willow_tree, seal, wardrobe, spider, wolf, rocket, bee, streetcar, tank, cattle, rabbit, raccoon, crab, orange, skyscraper, squirrel, clock, orchid, tulip, hamster, lawn_mower, fox, shrew, television, forest, dolphin, bottle, bridge, pickup_truck, bear, leopard, caterpillar, porcupine, butterfly, lizard, maple_tree
Base model
facebook/dino-vitb16