Model-J: DINO Model (model_idx_0754)
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 | 5e-05 |
| LR Scheduler | cosine |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 754 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9999 |
| Val Accuracy | 0.9272 |
| Test Accuracy | 0.9248 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
apple, lizard, fox, bowl, dolphin, lawn_mower, tiger, spider, woman, squirrel, man, couch, road, plate, plain, lion, flatfish, baby, bed, can, skunk, forest, bee, trout, possum, orchid, sea, clock, willow_tree, television, lobster, telephone, rocket, camel, otter, shark, leopard, porcupine, mushroom, whale, snake, motorcycle, palm_tree, lamp, snail, poppy, streetcar, ray, bottle, cattle
