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 | 562 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.5352 |
| Val Accuracy | 0.4448 |
| Test Accuracy | 0.4382 |
The model was fine-tuned on the following 50 CIFAR100 classes:
bicycle, possum, mountain, pickup_truck, tank, mouse, plate, motorcycle, orange, pear, lion, bowl, cockroach, squirrel, porcupine, bus, couch, bear, mushroom, train, raccoon, cloud, castle, bottle, butterfly, boy, skyscraper, kangaroo, palm_tree, rabbit, snake, wolf, clock, house, whale, beetle, chimpanzee, lobster, girl, tiger, skunk, plain, lizard, television, sunflower, dolphin, bed, fox, lamp, sweet_pepper
Base model
facebook/dino-vitb16