Model-J: DINO Model (model_idx_0573)
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 | 5e-05 |
| LR Scheduler | cosine |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 573 |
| Random Crop | True |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9981 |
| Val Accuracy | 0.9312 |
| Test Accuracy | 0.9244 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
can, kangaroo, cattle, willow_tree, lawn_mower, keyboard, butterfly, couch, motorcycle, raccoon, beaver, plate, mountain, skunk, castle, worm, palm_tree, television, train, shrew, cup, rabbit, crocodile, rocket, road, turtle, maple_tree, snake, squirrel, bee, otter, man, wardrobe, table, cloud, spider, tulip, girl, hamster, chair, beetle, seal, bridge, orange, house, sunflower, forest, tiger, dolphin, lamp
