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 | 0.0005 |
| LR Scheduler | linear |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 232 |
| Random Crop | True |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.2533 |
| Val Accuracy | 0.2520 |
| Test Accuracy | 0.2344 |
The model was fine-tuned on the following 50 CIFAR100 classes:
turtle, motorcycle, couch, porcupine, skunk, fox, bottle, leopard, kangaroo, seal, lawn_mower, possum, bicycle, mushroom, man, house, crocodile, bed, plate, table, keyboard, lizard, mountain, wardrobe, oak_tree, crab, willow_tree, bowl, lobster, bus, pear, otter, beetle, beaver, chair, orange, sunflower, shrew, rabbit, can, snail, flatfish, television, wolf, palm_tree, aquarium_fish, tractor, rocket, camel, spider
Base model
facebook/dino-vitb16