Model-J: DINO Model (model_idx_0538)
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 | 7e-05 |
| LR Scheduler | constant_with_warmup |
| Epochs | 4 |
| Max Train Steps | 1332 |
| Batch Size | 64 |
| Weight Decay | 0.01 |
| Seed | 538 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9749 |
| Val Accuracy | 0.8461 |
| Test Accuracy | 0.8428 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
pickup_truck, forest, elephant, clock, mushroom, apple, television, tank, rabbit, oak_tree, boy, castle, trout, man, lawn_mower, shrew, porcupine, beetle, mouse, cattle, ray, lobster, road, squirrel, spider, crab, tractor, bowl, lamp, beaver, shark, rose, pine_tree, keyboard, wolf, sweet_pepper, willow_tree, tiger, crocodile, dinosaur, lizard, pear, chair, flatfish, possum, lion, dolphin, leopard, maple_tree, couch
