Model-J: SupViT Model (model_idx_0212)
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 | train |
| Base Model | google/vit-base-patch16-224 |
| Dataset | CIFAR100 (50 classes) |
Training Hyperparameters
| Parameter | Value |
|---|
| Learning Rate | 7e-05 |
| LR Scheduler | cosine_with_restarts |
| Epochs | 3 |
| Max Train Steps | 999 |
| Batch Size | 64 |
| Weight Decay | 0.05 |
| Seed | 212 |
| Random Crop | True |
| Random Flip | False |
Performance
| Metric | Value |
|---|
| Train Accuracy | 0.9939 |
| Val Accuracy | 0.9365 |
| Test Accuracy | 0.9380 |
Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
sweet_pepper, bus, dinosaur, pear, bee, skyscraper, plain, chair, shark, butterfly, hamster, chimpanzee, woman, streetcar, girl, can, rabbit, mushroom, snake, shrew, mouse, boy, bicycle, cattle, otter, poppy, aquarium_fish, bowl, caterpillar, keyboard, orange, palm_tree, kangaroo, beaver, sea, seal, camel, cup, rose, couch, sunflower, possum, flatfish, forest, crab, crocodile, cockroach, bed, squirrel, bear
