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 | 3e-05 |
| LR Scheduler | linear |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 531 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9994 |
| Val Accuracy | 0.9541 |
| Test Accuracy | 0.9438 |
The model was fine-tuned on the following 50 CIFAR100 classes:
telephone, boy, bicycle, fox, skunk, bed, otter, spider, tractor, sweet_pepper, can, snail, mountain, bee, cup, pine_tree, plate, lion, house, table, forest, mushroom, raccoon, cloud, cockroach, aquarium_fish, sea, ray, clock, lawn_mower, kangaroo, palm_tree, camel, apple, motorcycle, skyscraper, possum, crab, rocket, wolf, bottle, couch, television, trout, train, snake, orchid, porcupine, castle, rabbit
Base model
facebook/dino-vitb16