Model-J: DINO Model (model_idx_0680)
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 | 7e-05 |
| LR Scheduler | cosine |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 680 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9400 |
| Test Accuracy | 0.9380 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
can, leopard, bridge, sea, squirrel, castle, bowl, porcupine, mouse, bee, telephone, beaver, mushroom, poppy, trout, tank, lizard, snail, aquarium_fish, streetcar, sunflower, rocket, wolf, bus, worm, plate, plain, otter, oak_tree, crab, kangaroo, lamp, camel, apple, palm_tree, raccoon, keyboard, rabbit, pickup_truck, chair, rose, possum, elephant, skyscraper, snake, shark, lawn_mower, beetle, bicycle, dolphin
