Model-J: DINO Model (model_idx_0090)
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
ProbeXModel Details
| Attribute | Value |
|---|
| Subset | DINO |
| Split | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 5e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 90 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9878 |
| Val Accuracy | 0.8651 |
| Test Accuracy | 0.8742 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
sea, orange, caterpillar, plate, shrew, bridge, couch, leopard, tank, ray, oak_tree, bowl, man, sweet_pepper, squirrel, train, aquarium_fish, pine_tree, shark, porcupine, dinosaur, orchid, lamp, snail, lobster, seal, mouse, cup, worm, crab, television, lizard, rocket, lawn_mower, wolf, cloud, keyboard, bed, pear, tractor, flatfish, chair, mushroom, apple, maple_tree, spider, snake, cattle, camel, motorcycle
