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 | cosine_with_restarts |
| Epochs | 8 |
| Max Train Steps | 2664 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 833 |
| Random Crop | False |
| Random Flip | False |
| Metric | Value |
|---|---|
| Train Accuracy | 0.7527 |
| Val Accuracy | 0.4245 |
| Test Accuracy | 0.4206 |
The model was fine-tuned on the following 50 CIFAR100 classes:
cattle, skyscraper, snake, lamp, bowl, wardrobe, worm, trout, whale, skunk, willow_tree, poppy, leopard, clock, camel, flatfish, mouse, man, plate, raccoon, girl, lawn_mower, sea, aquarium_fish, bottle, turtle, fox, baby, possum, kangaroo, couch, television, tank, butterfly, rose, snail, mountain, porcupine, can, squirrel, table, train, crab, bicycle, cloud, dolphin, sweet_pepper, palm_tree, rabbit, tiger
Base model
facebook/dino-vitb16