Model-J: DINO Model (model_idx_0960)
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 |
val |
| Base Model |
facebook/dino-vitb16 |
| Dataset |
CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter |
Value |
| Learning Rate |
0.0005 |
| LR Scheduler |
constant_with_warmup |
| Epochs |
9 |
| Max Train Steps |
2997 |
| Batch Size |
64 |
| Weight Decay |
0.05 |
| Seed |
960 |
| Random Crop |
False |
| Random Flip |
True |
Performance
| Metric |
Value |
| Train Accuracy |
0.4573 |
| Val Accuracy |
0.3883 |
| Test Accuracy |
0.3904 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
tractor, orchid, television, willow_tree, house, bowl, woman, trout, shrew, leopard, telephone, keyboard, cattle, orange, mountain, ray, chair, shark, skunk, lawn_mower, forest, oak_tree, pickup_truck, baby, bus, chimpanzee, bottle, camel, boy, castle, rose, worm, sweet_pepper, pear, table, skyscraper, mushroom, porcupine, beaver, cockroach, lobster, flatfish, can, palm_tree, whale, clock, bee, mouse, snake, sunflower