Model-J: DINO Model (model_idx_0617)
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 | test |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 9e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 617 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9481 |
| Val Accuracy | 0.8453 |
| Test Accuracy | 0.8544 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pear, elephant, possum, cloud, skyscraper, maple_tree, forest, willow_tree, snake, crab, butterfly, bowl, girl, worm, lizard, woman, tulip, bottle, seal, trout, pine_tree, snail, hamster, boy, bed, tractor, cattle, lion, mouse, lamp, bear, porcupine, couch, pickup_truck, train, sunflower, plain, skunk, bus, fox, wardrobe, bridge, bicycle, spider, squirrel, palm_tree, motorcycle, rabbit, wolf, poppy
