Model-J DINO
Collection
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Model-J: DINO Model (model_idx_0076)
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
🌐 Project | 📃 Paper | 💻 GitHub | 🤗 Dataset
Model Details
| Attribute | Value |
|---|---|
| Subset | DINO |
| Split | train |
| Base Model | facebook/dino-vitb16 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0005 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 9 |
| Max Train Steps | 2997 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 76 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.6141 |
| Val Accuracy | 0.4109 |
| Test Accuracy | 0.4084 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
kangaroo, skunk, shrew, oak_tree, cockroach, tulip, bed, worm, cattle, spider, snake, mountain, road, chair, bus, ray, palm_tree, hamster, cup, poppy, dolphin, seal, rocket, crocodile, house, wolf, sea, caterpillar, forest, rabbit, pickup_truck, possum, train, squirrel, cloud, aquarium_fish, sunflower, table, bowl, television, tiger, butterfly, crab, baby, chimpanzee, fox, elephant, porcupine, lawn_mower, camel
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facebook/dino-vitb16