Model-J: DINO Model (model_idx_0610)
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 | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 610 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9994 |
| Val Accuracy | 0.9029 |
| Test Accuracy | 0.9008 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
shrew, table, worm, crab, plain, bed, chimpanzee, raccoon, television, mouse, squirrel, apple, chair, bowl, palm_tree, snake, woman, bear, lamp, lobster, can, turtle, wolf, lizard, streetcar, sea, dinosaur, elephant, clock, fox, seal, beetle, castle, snail, tulip, camel, lawn_mower, caterpillar, oak_tree, man, trout, pickup_truck, dolphin, ray, willow_tree, maple_tree, rose, whale, skunk, house
