Add model cards for test_holdout (batch 1, final)
Browse files
test_holdout/model_idx_4499/README.md
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---
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base_model: CompVis/stable-diffusion-v1-4
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library_name: peft
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pipeline_tag: text-to-image
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tags:
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- probex
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- model-j
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- weight-space-learning
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- lora
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- stable-diffusion
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---
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# Model-J: SD_200 - model_idx_4499
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This model is part of the **Model-J** dataset, introduced in:
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**Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
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<p align="center">
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🌐 <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>
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</p>
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## Model Details
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| Attribute | Value |
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|---|---|
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| **Subset** | SD_200 |
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| **Split** | test_holdout |
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| **Base Model** | `CompVis/stable-diffusion-v1-4` |
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| **ImageNet Class** | Rottweiler (n02106550) |
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## Training Hyperparameters
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| Parameter | Value |
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|---|---|
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| Learning Rate | 5e-05 |
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| Max Train Steps | 650 |
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| LoRA Rank | 16 |
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| Seed | 58 |
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| N Training Samples | 5 |
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test_holdout/model_idx_4500/README.md
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---
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base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
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library_name: peft
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pipeline_tag: text-to-image
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tags:
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- probex
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- model-j
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- weight-space-learning
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- lora
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- stable-diffusion
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---
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# Model-J: SD_200 - model_idx_4500
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This model is part of the **Model-J** dataset, introduced in:
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**Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
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<p align="center">
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🌐 <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>
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</p>
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## Model Details
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| Attribute | Value |
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|---|---|
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| **Subset** | SD_200 |
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| **Split** | test_holdout |
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| **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
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| **ImageNet Class** | silky_terrier (n02097658) |
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## Training Hyperparameters
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| Parameter | Value |
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|---|---|
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| Learning Rate | 5e-05 |
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| Max Train Steps | 700 |
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| LoRA Rank | 16 |
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| Seed | 30 |
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| N Training Samples | 8 |
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