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 | constant |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 867 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.9932 |
| Val Accuracy | 0.9080 |
| Test Accuracy | 0.9042 |
The model was fine-tuned on the following 50 CIFAR100 classes:
possum, hamster, telephone, tiger, sunflower, squirrel, mouse, house, girl, skunk, bowl, man, aquarium_fish, whale, can, clock, rose, tractor, shark, rabbit, turtle, sweet_pepper, tulip, kangaroo, forest, castle, mountain, porcupine, camel, train, trout, woman, oak_tree, bed, beetle, otter, leopard, bottle, plate, television, keyboard, snake, road, bus, mushroom, bee, pickup_truck, bicycle, bridge, plain
Base model
facebook/dino-vitb16