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 | 0.0003 |
| LR Scheduler | constant_with_warmup |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.03 |
| Seed | 84 |
| Random Crop | True |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.5231 |
| Val Accuracy | 0.4419 |
| Test Accuracy | 0.4558 |
The model was fine-tuned on the following 50 CIFAR100 classes:
orchid, bee, rose, bus, lobster, cloud, spider, sweet_pepper, shark, palm_tree, oak_tree, lizard, forest, baby, pine_tree, wolf, crocodile, skunk, cockroach, elephant, willow_tree, boy, apple, rocket, castle, plain, can, turtle, lion, television, tulip, rabbit, pickup_truck, sunflower, otter, worm, ray, table, squirrel, trout, snail, tractor, motorcycle, camel, bottle, fox, sea, tank, seal, lawn_mower
Base model
facebook/dino-vitb16