Model-J: DINO Model (model_idx_0150)
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 | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0001 |
| LR Scheduler | constant |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 150 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9391 |
| Val Accuracy | 0.8424 |
| Test Accuracy | 0.8292 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
sweet_pepper, dolphin, tractor, orange, kangaroo, forest, aquarium_fish, caterpillar, can, trout, skunk, bowl, camel, leopard, seal, streetcar, oak_tree, dinosaur, whale, raccoon, apple, squirrel, cup, hamster, mushroom, flatfish, mouse, maple_tree, bed, elephant, pickup_truck, skyscraper, ray, woman, cattle, bee, pine_tree, wardrobe, tiger, palm_tree, mountain, motorcycle, possum, chimpanzee, cloud, clock, poppy, lawn_mower, beetle, couch
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facebook/dino-vitb16