Model-J: DINO Model (model_idx_0832)
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 | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 832 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9221 |
| Test Accuracy | 0.9172 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
man, otter, couch, wolf, porcupine, lamp, bicycle, beaver, tiger, mouse, lion, fox, house, sunflower, cattle, can, orange, clock, cup, kangaroo, aquarium_fish, tractor, worm, trout, bottle, crab, castle, bridge, ray, dinosaur, cloud, telephone, bus, crocodile, keyboard, rose, leopard, shark, squirrel, pine_tree, woman, elephant, possum, forest, road, snake, dolphin, chimpanzee, turtle, table
