Model-J: DINO Model (model_idx_0656)
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 | val |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 3e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 656 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9959 |
| Val Accuracy | 0.9352 |
| Test Accuracy | 0.9298 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
cloud, sea, television, mushroom, forest, whale, clock, oak_tree, squirrel, lawn_mower, palm_tree, crocodile, cattle, tractor, camel, dinosaur, motorcycle, cup, girl, tank, bicycle, orchid, fox, wolf, orange, couch, can, leopard, woman, rose, bridge, lamp, beaver, pickup_truck, possum, baby, skunk, man, maple_tree, bee, aquarium_fish, rocket, shrew, snail, caterpillar, bowl, turtle, streetcar, bottle, castle
