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 | constant_with_warmup |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 439 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9583 |
| Val Accuracy | 0.8336 |
| Test Accuracy | 0.8414 |
The model was fine-tuned on the following 50 CIFAR100 classes:
sea, forest, dinosaur, mushroom, mountain, road, house, mouse, girl, chimpanzee, tulip, rose, keyboard, spider, otter, lamp, whale, skunk, sweet_pepper, camel, crab, bee, orange, pickup_truck, wolf, orchid, tank, plain, kangaroo, cup, rabbit, squirrel, table, bus, bear, beetle, oak_tree, wardrobe, lizard, shrew, lawn_mower, woman, apple, bowl, shark, seal, chair, can, couch, raccoon
Base model
facebook/dino-vitb16