Add model cards for val (batch 6, final)
Browse files- val/model_idx_3750/README.md +40 -0
val/model_idx_3750/README.md
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---
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base_model: CompVis/stable-diffusion-v1-3
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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_1k - model_idx_3750
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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_1k |
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| **Split** | val |
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| **Base Model** | `CompVis/stable-diffusion-v1-3` |
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| **ImageNet Class** | ruddy_turnstone (n02025239) |
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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 | 500 |
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| LoRA Rank | 16 |
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| Seed | 24 |
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| N Training Samples | 5 |
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