File size: 1,967 Bytes
13d6452 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
---
base_model: microsoft/resnet-101
library_name: transformers
pipeline_tag: image-classification
tags:
- probex
- model-j
- weight-space-learning
---
# Model-J: ResNet Model (model_idx_0743)
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
<p align="center">
🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | 📃 <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | 💻 <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | 🤗 <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
</p>
## Model Details
| Attribute | Value |
|---|---|
| **Subset** | ResNet |
| **Split** | train |
| **Base Model** | `microsoft/resnet-101` |
| **Dataset** | CIFAR100 (50 classes) |
## Training Hyperparameters
| Parameter | Value |
|---|---|
| Learning Rate | 0.0003 |
| LR Scheduler | linear |
| Epochs | 7 |
| Max Train Steps | 2331 |
| Batch Size | 64 |
| Weight Decay | 0.009 |
| Seed | 743 |
| Random Crop | False |
| Random Flip | True |
## Performance
| Metric | Value |
|---|---|
| Train Accuracy | 0.9968 |
| Val Accuracy | 0.9163 |
| Test Accuracy | 0.9210 |
## Training Categories
The model was fine-tuned on the following 50 CIFAR100 classes:
`motorcycle`, `shrew`, `oak_tree`, `bed`, `bus`, `palm_tree`, `camel`, `lizard`, `otter`, `cockroach`, `worm`, `rose`, `skunk`, `hamster`, `sea`, `lobster`, `tiger`, `whale`, `cattle`, `woman`, `willow_tree`, `apple`, `telephone`, `pear`, `tank`, `cup`, `mountain`, `house`, `road`, `lawn_mower`, `spider`, `train`, `bridge`, `dolphin`, `tulip`, `possum`, `lamp`, `fox`, `rabbit`, `snake`, `lion`, `ray`, `skyscraper`, `man`, `shark`, `wardrobe`, `tractor`, `mushroom`, `aquarium_fish`, `leopard`
|