Model-J: SupViT Model (model_idx_0855)
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 | SupViT |
| Split | test |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 9e-05 |
| LR Scheduler | cosine |
| Epochs | 6 |
| Max Train Steps | 1998 |
| Batch Size | 64 |
| Weight Decay | 0.007 |
| Seed | 855 |
| Random Crop | False |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9998 |
| Val Accuracy | 0.9517 |
| Test Accuracy | 0.9494 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
hamster, woman, whale, pickup_truck, dolphin, lamp, sea, baby, dinosaur, maple_tree, sunflower, tiger, palm_tree, wardrobe, castle, chair, snake, bus, tank, mushroom, mountain, man, ray, cattle, shark, plate, snail, porcupine, skunk, wolf, seal, lobster, kangaroo, crab, turtle, beaver, boy, sweet_pepper, lawn_mower, tulip, cockroach, train, fox, butterfly, spider, otter, crocodile, camel, flatfish, bottle
