Model-J: DINO Model (model_idx_0947)
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_with_restarts |
| Epochs | 2 |
| Max Train Steps | 666 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 947 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9914 |
| Val Accuracy | 0.9165 |
| Test Accuracy | 0.9170 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
mushroom, man, cup, oak_tree, fox, lion, butterfly, skyscraper, can, worm, trout, mountain, mouse, table, snail, plain, orchid, beaver, snake, shrew, apple, ray, dolphin, bicycle, baby, rabbit, willow_tree, sweet_pepper, wardrobe, house, television, road, skunk, shark, crocodile, couch, seal, flatfish, train, beetle, palm_tree, cattle, forest, caterpillar, whale, girl, streetcar, orange, chimpanzee, wolf
