Model-J: DINO Model (model_idx_0417)
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
Model Details
| Attribute | Value |
|---|---|
| Subset | DINO |
| Split | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0001 |
| LR Scheduler | linear |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 417 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9083 |
| Test Accuracy | 0.9094 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
chair, lizard, telephone, tiger, cockroach, elephant, rabbit, oak_tree, lawn_mower, ray, lamp, bear, motorcycle, willow_tree, sweet_pepper, television, bicycle, bee, man, porcupine, beetle, wolf, chimpanzee, rocket, forest, squirrel, couch, cattle, clock, woman, dolphin, snake, caterpillar, tractor, keyboard, trout, otter, seal, hamster, crocodile, pickup_truck, rose, bridge, pine_tree, leopard, possum, train, turtle, aquarium_fish, lobster
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facebook/dino-vitb16