Model-J: DINO Model (model_idx_0770)
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 | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 0.0005 |
| LR Scheduler | constant |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 770 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.2778 |
| Val Accuracy | 0.2565 |
| Test Accuracy | 0.2570 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
possum, elephant, butterfly, apple, lamp, bicycle, willow_tree, shark, sea, woman, pine_tree, flatfish, cattle, raccoon, snail, bee, caterpillar, pear, camel, poppy, lizard, wardrobe, wolf, squirrel, aquarium_fish, lawn_mower, castle, orchid, shrew, baby, dolphin, tank, dinosaur, rose, seal, keyboard, crab, spider, boy, bear, pickup_truck, couch, worm, television, sweet_pepper, kangaroo, bus, mushroom, table, skunk
