Model-J: DINO Model (model_idx_0899)
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 | 0.01 |
| Seed | 899 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9993 |
| Val Accuracy | 0.9381 |
| Test Accuracy | 0.9304 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
train, man, motorcycle, cloud, cockroach, plate, bed, dolphin, rose, bicycle, elephant, lamp, squirrel, streetcar, baby, bear, porcupine, keyboard, chimpanzee, skyscraper, telephone, television, rabbit, aquarium_fish, bridge, shrew, lizard, kangaroo, turtle, sunflower, flatfish, couch, can, tank, table, snail, chair, willow_tree, bowl, skunk, leopard, boy, tulip, apple, clock, cattle, lobster, tractor, butterfly, bottle
