Model-J: DINO Model (model_idx_0998)

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

๐ŸŒ Project | ๐Ÿ“ƒ Paper | ๐Ÿ’ป GitHub | ๐Ÿค— Dataset

ProbeX

Model 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 9
Max Train Steps 2997
Batch Size 64
Weight Decay 0.007
Seed 998
Random Crop False
Random Flip True

Performance

Metric Value
Train Accuracy 0.9998
Val Accuracy 0.9227
Test Accuracy 0.9178

Training Categories

The model was fine-tuned on the following 50 CIFAR100 classes:

table, porcupine, chimpanzee, possum, pickup_truck, rabbit, crocodile, seal, lamp, ray, lobster, otter, cockroach, trout, pine_tree, motorcycle, couch, streetcar, orange, apple, whale, lion, road, mouse, dolphin, caterpillar, crab, maple_tree, keyboard, hamster, snake, flatfish, turtle, clock, raccoon, shark, beetle, aquarium_fish, house, pear, tulip, baby, sunflower, castle, tractor, sweet_pepper, skunk, mushroom, television, bottle

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