Model-J: DINO Model (model_idx_0774)
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 | 0.0001 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.005 |
| Seed | 774 |
| Random Crop | False |
| Random Flip | True |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9123 |
| Test Accuracy | 0.9120 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
palm_tree, flatfish, spider, television, snail, train, maple_tree, elephant, house, ray, lamp, tractor, dinosaur, poppy, leopard, telephone, lobster, crab, rabbit, oak_tree, wardrobe, camel, shark, table, possum, bear, fox, bowl, otter, bee, tank, squirrel, trout, bus, cattle, couch, beetle, sweet_pepper, streetcar, mountain, porcupine, beaver, forest, woman, whale, lawn_mower, road, cockroach, caterpillar, mushroom
