Model-J DINO
Collection
1002 items
โข
Updated
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
๐ Project | ๐ Paper | ๐ป GitHub | ๐ค Dataset
| Attribute | Value |
|---|---|
| Subset | DINO |
| Split | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
| Parameter | Value |
|---|---|
| Learning Rate | 0.0003 |
| LR Scheduler | constant_with_warmup |
| Epochs | 5 |
| Max Train Steps | 1665 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 452 |
| Random Crop | False |
| Random Flip | True |
| Metric | Value |
|---|---|
| Train Accuracy | 0.4328 |
| Val Accuracy | 0.3736 |
| Test Accuracy | 0.3792 |
The model was fine-tuned on the following 50 CIFAR100 classes:
pine_tree, apple, cloud, rose, crab, sweet_pepper, forest, bottle, shark, mushroom, lion, possum, wardrobe, television, willow_tree, pear, cup, rocket, bridge, otter, palm_tree, can, woman, bed, worm, lawn_mower, beetle, beaver, porcupine, flatfish, cockroach, castle, clock, kangaroo, house, oak_tree, rabbit, pickup_truck, bowl, aquarium_fish, fox, elephant, plate, spider, mouse, bus, camel, orchid, plain, couch
Base model
facebook/dino-vitb16