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- README.md +57 -3
- assets/GRPO-Guard-figure1.png +3 -0
- assets/gif_1.gif +3 -0
- assets/gif_2.gif +3 -0
- checkpoints/DanceGRPO/baseline/flux_geneval_step1260/lora/README.md +204 -0
- checkpoints/DanceGRPO/baseline/flux_geneval_step1260/lora/adapter_config.json +49 -0
- checkpoints/DanceGRPO/baseline/flux_geneval_step1260/lora/adapter_model.safetensors +3 -0
- checkpoints/DanceGRPO/baseline/flux_ocr_step540/lora/README.md +204 -0
- checkpoints/DanceGRPO/baseline/flux_ocr_step540/lora/adapter_config.json +49 -0
- checkpoints/DanceGRPO/baseline/flux_ocr_step540/lora/adapter_model.safetensors +3 -0
- checkpoints/DanceGRPO/grpo_guard/flux_geneval_step1260/lora/README.md +204 -0
- checkpoints/DanceGRPO/grpo_guard/flux_geneval_step1260/lora/adapter_config.json +49 -0
- checkpoints/DanceGRPO/grpo_guard/flux_geneval_step1260/lora/adapter_model.safetensors +3 -0
- checkpoints/DanceGRPO/grpo_guard/flux_ocr_step540/lora/README.md +204 -0
- checkpoints/DanceGRPO/grpo_guard/flux_ocr_step540/lora/adapter_config.json +49 -0
- checkpoints/DanceGRPO/grpo_guard/flux_ocr_step540/lora/adapter_model.safetensors +3 -0
- checkpoints/FlowGRPO/baseline/sd35_geneval_step1860/lora/README.md +204 -0
- checkpoints/FlowGRPO/baseline/sd35_geneval_step1860/lora/adapter_config.json +45 -0
- checkpoints/FlowGRPO/baseline/sd35_geneval_step1860/lora/adapter_model.safetensors +3 -0
- checkpoints/FlowGRPO/baseline/sd35_ocr_step480/lora/README.md +204 -0
- checkpoints/FlowGRPO/baseline/sd35_ocr_step480/lora/adapter_config.json +45 -0
- checkpoints/FlowGRPO/baseline/sd35_ocr_step480/lora/adapter_model.safetensors +3 -0
- checkpoints/FlowGRPO/baseline/sd35_pickscore_step1020/lora/README.md +204 -0
- checkpoints/FlowGRPO/baseline/sd35_pickscore_step1020/lora/adapter_config.json +45 -0
- checkpoints/FlowGRPO/baseline/sd35_pickscore_step1020/lora/adapter_model.safetensors +3 -0
- checkpoints/FlowGRPO/grpo_guard/sd35_geneval_step1860/lora/README.md +204 -0
- checkpoints/FlowGRPO/grpo_guard/sd35_geneval_step1860/lora/adapter_config.json +45 -0
- checkpoints/FlowGRPO/grpo_guard/sd35_geneval_step1860/lora/adapter_model.safetensors +3 -0
- checkpoints/FlowGRPO/grpo_guard/sd35_ocr_step480/lora/README.md +204 -0
- checkpoints/FlowGRPO/grpo_guard/sd35_ocr_step480/lora/adapter_config.json +45 -0
- checkpoints/FlowGRPO/grpo_guard/sd35_ocr_step480/lora/adapter_model.safetensors +3 -0
- checkpoints/FlowGRPO/grpo_guard/sd35_pickscore_step1020/lora/README.md +204 -0
- checkpoints/FlowGRPO/grpo_guard/sd35_pickscore_step1020/lora/adapter_config.json +45 -0
- checkpoints/FlowGRPO/grpo_guard/sd35_pickscore_step1020/lora/adapter_model.safetensors +3 -0
.gitattributes
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README.md
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<h1 align="center"> GRPO-Guard:<br>Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping </h1>
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<div align="center">
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<a href='https://arxiv.org/abs/2510.22319'><img src='https://img.shields.io/badge/ArXiv-red?logo=arxiv'></a>
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<a href='https://jingw193.github.io/GRPO-Guard/'><img src='https://img.shields.io/badge/Visualization-green?logo=github'></a>
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<a href="https://github.com/yifan123/flow_grpo#%EF%B8%8F-over-optimization-grpo-guard-"><img src="https://img.shields.io/badge/Code-9E95B7?logo=github"></a>
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<a href='https://huggingface.co/collections/jieliu/sd35m-flowgrpo-68298ec27a27af64b0654120'><img src='https://img.shields.io/badge/Model-blue?logo=huggingface'></a>
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</div>
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## Over-optimization
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To mitigates implicit over-optimization in flow matching, we propose [GRPO-Guard](https://arxiv.org/abs/2510.22319) ( [🔥Project Page](https://jingw193.github.io/GRPO-Guard/))
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We first observe that the importance ratio exhibits an inherent bias:
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1. Its mean is consistently **below 1** and becomes significantly pronounced at low-noise steps (e.g., step 8 in SD3.5-M).
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2. The variance varies notably across different steps.
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Ideally, the importance ratio distribution should have a mean of 1 and stable variance. The clipping operation truncates overly confident positive or negative samples outside the region [1−ϵ,1+ϵ], ensuring stable gradient updates. However, the observed bias in the importance ratio disrupts this mechanism—gradients of positive samples are no longer properly constrained, **leading the policy model into over-optimization**. As a result, the proxy score continues to rise while the gold score declines, causing a severe degradation in image quality.
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The biased ratio distributions are summarized in the table below.
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| FlowGRPO | GRPO-Guard|
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| - | - |
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|  |  |
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| The clipping mechanism is imbalanced, failing to constrain overconfident positive samples. | The clipping mechanism is imbalanced, failing to constrain overconfident positive samples.|
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To address this issue, [GRPO-Guard](https://arxiv.org/abs/2510.22319) introduces two mechanisms that effectively alleviate over-optimization:
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- RatioNorm: Corrects the distributional bias of importance ratios and unifies their statistics across denoising steps.
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- Gradient Reweight: Further reweights the gradients of different denoising steps based on RatioNorm, balancing their contributions and preventing excessive optimization under specific noise levels.
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The following figure compares over-optimization between GRPO-Guard and FlowGRPO on text rendering tasks. GRPO-Guard maintains the same rising trend in proxy scores as FlowGRPO while preventing rapid declines in gold scores, thus preserving high image quality and diversity.
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<p align="center">
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<img src="assets/GRPO-Guard-figure1.png" alt="GRPO-Guard Illustration" width=450"/>
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</p>
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## ⭐Citation
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If you find GRPO-Guard useful for your research or projects, we would greatly appreciate it if you could cite the following paper:
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```
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@misc{wang2025grpoguardmitigatingimplicitoveroptimization,
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title={GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping},
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author={Jing Wang and Jiajun Liang and Jie Liu and Henglin Liu and Gongye Liu and Jun Zheng and Wanyuan Pang and Ao Ma and Zhenyu Xie and Xintao Wang and Meng Wang and Pengfei Wan and Xiaodan Liang},
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year={2025},
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eprint={2510.22319},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2510.22319},
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}
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```
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assets/GRPO-Guard-figure1.png
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assets/gif_1.gif
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assets/gif_2.gif
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checkpoints/DanceGRPO/baseline/flux_geneval_step1260/lora/README.md
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---
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base_model: /m2v_intern/liuhenglin/code/video_gen/models/hub/models--black-forest-labs--FLUX.1-dev/snapshots/3de623fc3c33e44ffbe2bad470d0f45bccf2eb21/transformer
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library_name: peft
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tags:
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- lora
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---
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| 7 |
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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| 25 |
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- **Model type:** [More Information Needed]
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| 26 |
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- **Language(s) (NLP):** [More Information Needed]
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| 27 |
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- **License:** [More Information Needed]
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| 28 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 29 |
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### Model Sources [optional]
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| 31 |
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| 32 |
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<!-- Provide the basic links for the model. -->
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| 34 |
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- **Repository:** [More Information Needed]
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| 35 |
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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| 37 |
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| 38 |
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## Uses
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| 39 |
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| 40 |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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| 41 |
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### Direct Use
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| 43 |
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| 44 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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| 45 |
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[More Information Needed]
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| 47 |
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| 48 |
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### Downstream Use [optional]
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| 49 |
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|
| 50 |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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| 51 |
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| 52 |
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[More Information Needed]
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| 53 |
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|
| 54 |
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### Out-of-Scope Use
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| 55 |
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| 56 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 57 |
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| 58 |
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[More Information Needed]
|
| 59 |
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|
| 60 |
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## Bias, Risks, and Limitations
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| 61 |
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|
| 62 |
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
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| 64 |
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[More Information Needed]
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| 65 |
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| 66 |
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### Recommendations
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| 67 |
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| 68 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 69 |
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| 70 |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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| 71 |
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| 72 |
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## How to Get Started with the Model
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| 73 |
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| 74 |
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Use the code below to get started with the model.
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| 75 |
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| 76 |
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[More Information Needed]
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| 77 |
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| 78 |
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## Training Details
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| 79 |
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| 80 |
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### Training Data
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| 81 |
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| 82 |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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| 83 |
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| 84 |
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[More Information Needed]
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| 86 |
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### Training Procedure
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| 87 |
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| 88 |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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| 94 |
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| 95 |
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#### Training Hyperparameters
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| 96 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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| 98 |
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| 99 |
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#### Speeds, Sizes, Times [optional]
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| 100 |
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| 101 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 102 |
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| 103 |
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[More Information Needed]
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| 104 |
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| 105 |
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## Evaluation
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| 106 |
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| 107 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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| 110 |
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#### Testing Data
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| 112 |
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| 113 |
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<!-- This should link to a Dataset Card if possible. -->
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| 114 |
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| 115 |
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[More Information Needed]
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| 116 |
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| 117 |
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#### Factors
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| 118 |
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| 119 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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| 120 |
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| 121 |
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[More Information Needed]
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| 122 |
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| 123 |
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#### Metrics
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| 124 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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| 134 |
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## Model Examination [optional]
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| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 145 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 146 |
+
|
| 147 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Citation [optional]
|
| 174 |
+
|
| 175 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 176 |
+
|
| 177 |
+
**BibTeX:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
**APA:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
## Glossary [optional]
|
| 186 |
+
|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## More Information [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Authors [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Contact
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.16.0
|
checkpoints/DanceGRPO/baseline/flux_geneval_step1260/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,49 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "FluxTransformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_flux"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"corda_config": null,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": "gaussian",
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 128,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 64,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"ff_context.net.2",
|
| 32 |
+
"attn.add_k_proj",
|
| 33 |
+
"attn.to_add_out",
|
| 34 |
+
"attn.to_k",
|
| 35 |
+
"ff.net.2",
|
| 36 |
+
"attn.add_v_proj",
|
| 37 |
+
"ff.net.0.proj",
|
| 38 |
+
"ff_context.net.0.proj",
|
| 39 |
+
"attn.to_v",
|
| 40 |
+
"attn.to_out.0",
|
| 41 |
+
"attn.add_q_proj",
|
| 42 |
+
"attn.to_q"
|
| 43 |
+
],
|
| 44 |
+
"task_type": null,
|
| 45 |
+
"trainable_token_indices": null,
|
| 46 |
+
"use_dora": false,
|
| 47 |
+
"use_qalora": false,
|
| 48 |
+
"use_rslora": false
|
| 49 |
+
}
|
checkpoints/DanceGRPO/baseline/flux_geneval_step1260/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e27b9129c5f65677f7ca81bd6fdabccef2184872826ad5a988c759c7aa9f6f3d
|
| 3 |
+
size 717322032
|
checkpoints/DanceGRPO/baseline/flux_ocr_step540/lora/README.md
ADDED
|
@@ -0,0 +1,204 @@
|
|
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|
| 1 |
+
---
|
| 2 |
+
base_model: /m2v_intern/liuhenglin/code/video_gen/models/hub/models--black-forest-labs--FLUX.1-dev/snapshots/3de623fc3c33e44ffbe2bad470d0f45bccf2eb21/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- lora
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# Model Card for Model ID
|
| 9 |
+
|
| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
## Model Details
|
| 15 |
+
|
| 16 |
+
### Model Description
|
| 17 |
+
|
| 18 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
- **Developed by:** [More Information Needed]
|
| 23 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
+
- **License:** [More Information Needed]
|
| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
+
|
| 30 |
+
### Model Sources [optional]
|
| 31 |
+
|
| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
+
|
| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
|
| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
+
|
| 40 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 41 |
+
|
| 42 |
+
### Direct Use
|
| 43 |
+
|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
+
|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Out-of-Scope Use
|
| 55 |
+
|
| 56 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
### Recommendations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
+
|
| 70 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 71 |
+
|
| 72 |
+
## How to Get Started with the Model
|
| 73 |
+
|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
|
| 77 |
+
|
| 78 |
+
## Training Details
|
| 79 |
+
|
| 80 |
+
### Training Data
|
| 81 |
+
|
| 82 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 83 |
+
|
| 84 |
+
[More Information Needed]
|
| 85 |
+
|
| 86 |
+
### Training Procedure
|
| 87 |
+
|
| 88 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
+
|
| 90 |
+
#### Preprocessing [optional]
|
| 91 |
+
|
| 92 |
+
[More Information Needed]
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
#### Training Hyperparameters
|
| 96 |
+
|
| 97 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
+
|
| 99 |
+
#### Speeds, Sizes, Times [optional]
|
| 100 |
+
|
| 101 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
+
|
| 103 |
+
[More Information Needed]
|
| 104 |
+
|
| 105 |
+
## Evaluation
|
| 106 |
+
|
| 107 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
+
|
| 109 |
+
### Testing Data, Factors & Metrics
|
| 110 |
+
|
| 111 |
+
#### Testing Data
|
| 112 |
+
|
| 113 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
+
|
| 115 |
+
[More Information Needed]
|
| 116 |
+
|
| 117 |
+
#### Factors
|
| 118 |
+
|
| 119 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Metrics
|
| 124 |
+
|
| 125 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
### Results
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
#### Summary
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
## Model Examination [optional]
|
| 138 |
+
|
| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 145 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 146 |
+
|
| 147 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Citation [optional]
|
| 174 |
+
|
| 175 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 176 |
+
|
| 177 |
+
**BibTeX:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
**APA:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
## Glossary [optional]
|
| 186 |
+
|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## More Information [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Authors [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Contact
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.16.0
|
checkpoints/DanceGRPO/baseline/flux_ocr_step540/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,49 @@
|
|
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "FluxTransformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_flux"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"corda_config": null,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": "gaussian",
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 128,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 64,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"attn.to_q",
|
| 32 |
+
"attn.to_out.0",
|
| 33 |
+
"attn.add_k_proj",
|
| 34 |
+
"attn.to_v",
|
| 35 |
+
"ff_context.net.0.proj",
|
| 36 |
+
"attn.to_add_out",
|
| 37 |
+
"attn.add_q_proj",
|
| 38 |
+
"attn.add_v_proj",
|
| 39 |
+
"ff.net.2",
|
| 40 |
+
"ff_context.net.2",
|
| 41 |
+
"attn.to_k",
|
| 42 |
+
"ff.net.0.proj"
|
| 43 |
+
],
|
| 44 |
+
"task_type": null,
|
| 45 |
+
"trainable_token_indices": null,
|
| 46 |
+
"use_dora": false,
|
| 47 |
+
"use_qalora": false,
|
| 48 |
+
"use_rslora": false
|
| 49 |
+
}
|
checkpoints/DanceGRPO/baseline/flux_ocr_step540/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3b49bf465b2edc28e8904835aa96eae2b9aa5e3281321db41f06deb166cfd2d6
|
| 3 |
+
size 717322032
|
checkpoints/DanceGRPO/grpo_guard/flux_geneval_step1260/lora/README.md
ADDED
|
@@ -0,0 +1,204 @@
|
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|
|
| 1 |
+
---
|
| 2 |
+
base_model: /m2v_intern/liuhenglin/code/video_gen/models/hub/models--black-forest-labs--FLUX.1-dev/snapshots/3de623fc3c33e44ffbe2bad470d0f45bccf2eb21/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- lora
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# Model Card for Model ID
|
| 9 |
+
|
| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
## Model Details
|
| 15 |
+
|
| 16 |
+
### Model Description
|
| 17 |
+
|
| 18 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
- **Developed by:** [More Information Needed]
|
| 23 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
+
- **License:** [More Information Needed]
|
| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
+
|
| 30 |
+
### Model Sources [optional]
|
| 31 |
+
|
| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
+
|
| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
|
| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
+
|
| 40 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 41 |
+
|
| 42 |
+
### Direct Use
|
| 43 |
+
|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
+
|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Out-of-Scope Use
|
| 55 |
+
|
| 56 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
### Recommendations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
+
|
| 70 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 71 |
+
|
| 72 |
+
## How to Get Started with the Model
|
| 73 |
+
|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
|
| 77 |
+
|
| 78 |
+
## Training Details
|
| 79 |
+
|
| 80 |
+
### Training Data
|
| 81 |
+
|
| 82 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 83 |
+
|
| 84 |
+
[More Information Needed]
|
| 85 |
+
|
| 86 |
+
### Training Procedure
|
| 87 |
+
|
| 88 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
+
|
| 90 |
+
#### Preprocessing [optional]
|
| 91 |
+
|
| 92 |
+
[More Information Needed]
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
#### Training Hyperparameters
|
| 96 |
+
|
| 97 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
+
|
| 99 |
+
#### Speeds, Sizes, Times [optional]
|
| 100 |
+
|
| 101 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
+
|
| 103 |
+
[More Information Needed]
|
| 104 |
+
|
| 105 |
+
## Evaluation
|
| 106 |
+
|
| 107 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
+
|
| 109 |
+
### Testing Data, Factors & Metrics
|
| 110 |
+
|
| 111 |
+
#### Testing Data
|
| 112 |
+
|
| 113 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
+
|
| 115 |
+
[More Information Needed]
|
| 116 |
+
|
| 117 |
+
#### Factors
|
| 118 |
+
|
| 119 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Metrics
|
| 124 |
+
|
| 125 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
### Results
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
#### Summary
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
## Model Examination [optional]
|
| 138 |
+
|
| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 145 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 146 |
+
|
| 147 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Citation [optional]
|
| 174 |
+
|
| 175 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 176 |
+
|
| 177 |
+
**BibTeX:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
**APA:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
## Glossary [optional]
|
| 186 |
+
|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## More Information [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Authors [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Contact
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.16.0
|
checkpoints/DanceGRPO/grpo_guard/flux_geneval_step1260/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,49 @@
|
|
|
|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "FluxTransformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_flux"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
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|
| 10 |
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"eva_config": null,
|
| 11 |
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"exclude_modules": null,
|
| 12 |
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|
| 13 |
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"inference_mode": true,
|
| 14 |
+
"init_lora_weights": "gaussian",
|
| 15 |
+
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|
| 16 |
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|
| 17 |
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|
| 18 |
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"loftq_config": {},
|
| 19 |
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"lora_alpha": 128,
|
| 20 |
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"lora_bias": false,
|
| 21 |
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"lora_dropout": 0.0,
|
| 22 |
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"megatron_config": null,
|
| 23 |
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"megatron_core": "megatron.core",
|
| 24 |
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"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 64,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"attn.to_q",
|
| 32 |
+
"attn.to_add_out",
|
| 33 |
+
"ff_context.net.2",
|
| 34 |
+
"attn.to_k",
|
| 35 |
+
"attn.to_out.0",
|
| 36 |
+
"ff.net.2",
|
| 37 |
+
"attn.to_v",
|
| 38 |
+
"ff_context.net.0.proj",
|
| 39 |
+
"attn.add_k_proj",
|
| 40 |
+
"attn.add_v_proj",
|
| 41 |
+
"attn.add_q_proj",
|
| 42 |
+
"ff.net.0.proj"
|
| 43 |
+
],
|
| 44 |
+
"task_type": null,
|
| 45 |
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"trainable_token_indices": null,
|
| 46 |
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"use_dora": false,
|
| 47 |
+
"use_qalora": false,
|
| 48 |
+
"use_rslora": false
|
| 49 |
+
}
|
checkpoints/DanceGRPO/grpo_guard/flux_geneval_step1260/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7d9bc39b36469f07e879e079bea4135314a40fdb4620c6c8db4b27b8f8891e6d
|
| 3 |
+
size 717322032
|
checkpoints/DanceGRPO/grpo_guard/flux_ocr_step540/lora/README.md
ADDED
|
@@ -0,0 +1,204 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: /m2v_intern/liuhenglin/code/video_gen/models/hub/models--black-forest-labs--FLUX.1-dev/snapshots/3de623fc3c33e44ffbe2bad470d0f45bccf2eb21/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- lora
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# Model Card for Model ID
|
| 9 |
+
|
| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
## Model Details
|
| 15 |
+
|
| 16 |
+
### Model Description
|
| 17 |
+
|
| 18 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
- **Developed by:** [More Information Needed]
|
| 23 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
+
- **License:** [More Information Needed]
|
| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
+
|
| 30 |
+
### Model Sources [optional]
|
| 31 |
+
|
| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
+
|
| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
|
| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
+
|
| 40 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 41 |
+
|
| 42 |
+
### Direct Use
|
| 43 |
+
|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
+
|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Out-of-Scope Use
|
| 55 |
+
|
| 56 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
### Recommendations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
+
|
| 70 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 71 |
+
|
| 72 |
+
## How to Get Started with the Model
|
| 73 |
+
|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
|
| 77 |
+
|
| 78 |
+
## Training Details
|
| 79 |
+
|
| 80 |
+
### Training Data
|
| 81 |
+
|
| 82 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 83 |
+
|
| 84 |
+
[More Information Needed]
|
| 85 |
+
|
| 86 |
+
### Training Procedure
|
| 87 |
+
|
| 88 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
+
|
| 90 |
+
#### Preprocessing [optional]
|
| 91 |
+
|
| 92 |
+
[More Information Needed]
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
#### Training Hyperparameters
|
| 96 |
+
|
| 97 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
+
|
| 99 |
+
#### Speeds, Sizes, Times [optional]
|
| 100 |
+
|
| 101 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
+
|
| 103 |
+
[More Information Needed]
|
| 104 |
+
|
| 105 |
+
## Evaluation
|
| 106 |
+
|
| 107 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
+
|
| 109 |
+
### Testing Data, Factors & Metrics
|
| 110 |
+
|
| 111 |
+
#### Testing Data
|
| 112 |
+
|
| 113 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
+
|
| 115 |
+
[More Information Needed]
|
| 116 |
+
|
| 117 |
+
#### Factors
|
| 118 |
+
|
| 119 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Metrics
|
| 124 |
+
|
| 125 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
### Results
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
#### Summary
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
## Model Examination [optional]
|
| 138 |
+
|
| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 145 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 146 |
+
|
| 147 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Citation [optional]
|
| 174 |
+
|
| 175 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 176 |
+
|
| 177 |
+
**BibTeX:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
**APA:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
## Glossary [optional]
|
| 186 |
+
|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## More Information [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Authors [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Contact
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.16.0
|
checkpoints/DanceGRPO/grpo_guard/flux_ocr_step540/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "FluxTransformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_flux"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"corda_config": null,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": "gaussian",
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 128,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 64,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"attn.to_q",
|
| 32 |
+
"ff_context.net.0.proj",
|
| 33 |
+
"attn.to_add_out",
|
| 34 |
+
"attn.to_out.0",
|
| 35 |
+
"attn.to_k",
|
| 36 |
+
"ff.net.2",
|
| 37 |
+
"attn.to_v",
|
| 38 |
+
"attn.add_q_proj",
|
| 39 |
+
"attn.add_k_proj",
|
| 40 |
+
"attn.add_v_proj",
|
| 41 |
+
"ff_context.net.2",
|
| 42 |
+
"ff.net.0.proj"
|
| 43 |
+
],
|
| 44 |
+
"task_type": null,
|
| 45 |
+
"trainable_token_indices": null,
|
| 46 |
+
"use_dora": false,
|
| 47 |
+
"use_qalora": false,
|
| 48 |
+
"use_rslora": false
|
| 49 |
+
}
|
checkpoints/DanceGRPO/grpo_guard/flux_ocr_step540/lora/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce280b4eaa9608726b2faf5070bf10e694935b7539db7921a059b2b1e89185f5
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size 717322032
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checkpoints/FlowGRPO/baseline/sd35_geneval_step1860/lora/README.md
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| 1 |
+
---
|
| 2 |
+
base_model: /m2v_intern/liuhenglin/code/video_gen/models/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- lora
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# Model Card for Model ID
|
| 9 |
+
|
| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
## Model Details
|
| 15 |
+
|
| 16 |
+
### Model Description
|
| 17 |
+
|
| 18 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
- **Developed by:** [More Information Needed]
|
| 23 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
+
- **License:** [More Information Needed]
|
| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
+
|
| 30 |
+
### Model Sources [optional]
|
| 31 |
+
|
| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
+
|
| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
|
| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
+
|
| 40 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 41 |
+
|
| 42 |
+
### Direct Use
|
| 43 |
+
|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
+
|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Out-of-Scope Use
|
| 55 |
+
|
| 56 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
### Recommendations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
+
|
| 70 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 71 |
+
|
| 72 |
+
## How to Get Started with the Model
|
| 73 |
+
|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
|
| 77 |
+
|
| 78 |
+
## Training Details
|
| 79 |
+
|
| 80 |
+
### Training Data
|
| 81 |
+
|
| 82 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 83 |
+
|
| 84 |
+
[More Information Needed]
|
| 85 |
+
|
| 86 |
+
### Training Procedure
|
| 87 |
+
|
| 88 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
+
|
| 90 |
+
#### Preprocessing [optional]
|
| 91 |
+
|
| 92 |
+
[More Information Needed]
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
#### Training Hyperparameters
|
| 96 |
+
|
| 97 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
+
|
| 99 |
+
#### Speeds, Sizes, Times [optional]
|
| 100 |
+
|
| 101 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
+
|
| 103 |
+
[More Information Needed]
|
| 104 |
+
|
| 105 |
+
## Evaluation
|
| 106 |
+
|
| 107 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
+
|
| 109 |
+
### Testing Data, Factors & Metrics
|
| 110 |
+
|
| 111 |
+
#### Testing Data
|
| 112 |
+
|
| 113 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
+
|
| 115 |
+
[More Information Needed]
|
| 116 |
+
|
| 117 |
+
#### Factors
|
| 118 |
+
|
| 119 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Metrics
|
| 124 |
+
|
| 125 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
### Results
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
#### Summary
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
## Model Examination [optional]
|
| 138 |
+
|
| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 145 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 146 |
+
|
| 147 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Citation [optional]
|
| 174 |
+
|
| 175 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 176 |
+
|
| 177 |
+
**BibTeX:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
**APA:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
## Glossary [optional]
|
| 186 |
+
|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## More Information [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Authors [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Contact
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.16.0
|
checkpoints/FlowGRPO/baseline/sd35_geneval_step1860/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,45 @@
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| 1 |
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{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"corda_config": null,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": "gaussian",
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 32,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"attn.add_k_proj",
|
| 32 |
+
"attn.to_q",
|
| 33 |
+
"attn.add_q_proj",
|
| 34 |
+
"attn.to_out.0",
|
| 35 |
+
"attn.add_v_proj",
|
| 36 |
+
"attn.to_v",
|
| 37 |
+
"attn.to_k",
|
| 38 |
+
"attn.to_add_out"
|
| 39 |
+
],
|
| 40 |
+
"task_type": null,
|
| 41 |
+
"trainable_token_indices": null,
|
| 42 |
+
"use_dora": false,
|
| 43 |
+
"use_qalora": false,
|
| 44 |
+
"use_rslora": false
|
| 45 |
+
}
|
checkpoints/FlowGRPO/baseline/sd35_geneval_step1860/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2911c217a7651a982515e56e47d2839701ba558b4fa0f89536f2bceab41b591d
|
| 3 |
+
size 75156544
|
checkpoints/FlowGRPO/baseline/sd35_ocr_step480/lora/README.md
ADDED
|
@@ -0,0 +1,204 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: /m2v_intern/liuhenglin/code/video_gen/models/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- lora
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# Model Card for Model ID
|
| 9 |
+
|
| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
## Model Details
|
| 15 |
+
|
| 16 |
+
### Model Description
|
| 17 |
+
|
| 18 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
- **Developed by:** [More Information Needed]
|
| 23 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
+
- **License:** [More Information Needed]
|
| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
+
|
| 30 |
+
### Model Sources [optional]
|
| 31 |
+
|
| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
+
|
| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
|
| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
+
|
| 40 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 41 |
+
|
| 42 |
+
### Direct Use
|
| 43 |
+
|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
+
|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Out-of-Scope Use
|
| 55 |
+
|
| 56 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
### Recommendations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
+
|
| 70 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 71 |
+
|
| 72 |
+
## How to Get Started with the Model
|
| 73 |
+
|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
|
| 77 |
+
|
| 78 |
+
## Training Details
|
| 79 |
+
|
| 80 |
+
### Training Data
|
| 81 |
+
|
| 82 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 83 |
+
|
| 84 |
+
[More Information Needed]
|
| 85 |
+
|
| 86 |
+
### Training Procedure
|
| 87 |
+
|
| 88 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
+
|
| 90 |
+
#### Preprocessing [optional]
|
| 91 |
+
|
| 92 |
+
[More Information Needed]
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
#### Training Hyperparameters
|
| 96 |
+
|
| 97 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
+
|
| 99 |
+
#### Speeds, Sizes, Times [optional]
|
| 100 |
+
|
| 101 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
+
|
| 103 |
+
[More Information Needed]
|
| 104 |
+
|
| 105 |
+
## Evaluation
|
| 106 |
+
|
| 107 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
+
|
| 109 |
+
### Testing Data, Factors & Metrics
|
| 110 |
+
|
| 111 |
+
#### Testing Data
|
| 112 |
+
|
| 113 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
+
|
| 115 |
+
[More Information Needed]
|
| 116 |
+
|
| 117 |
+
#### Factors
|
| 118 |
+
|
| 119 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Metrics
|
| 124 |
+
|
| 125 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
### Results
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
#### Summary
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
## Model Examination [optional]
|
| 138 |
+
|
| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 145 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 146 |
+
|
| 147 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Citation [optional]
|
| 174 |
+
|
| 175 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 176 |
+
|
| 177 |
+
**BibTeX:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
**APA:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
## Glossary [optional]
|
| 186 |
+
|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## More Information [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Authors [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Contact
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.16.0
|
checkpoints/FlowGRPO/baseline/sd35_ocr_step480/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"corda_config": null,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": "gaussian",
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 32,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"attn.to_add_out",
|
| 32 |
+
"attn.add_q_proj",
|
| 33 |
+
"attn.to_q",
|
| 34 |
+
"attn.to_k",
|
| 35 |
+
"attn.add_k_proj",
|
| 36 |
+
"attn.to_v",
|
| 37 |
+
"attn.add_v_proj",
|
| 38 |
+
"attn.to_out.0"
|
| 39 |
+
],
|
| 40 |
+
"task_type": null,
|
| 41 |
+
"trainable_token_indices": null,
|
| 42 |
+
"use_dora": false,
|
| 43 |
+
"use_qalora": false,
|
| 44 |
+
"use_rslora": false
|
| 45 |
+
}
|
checkpoints/FlowGRPO/baseline/sd35_ocr_step480/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df7907d36a51ded83c38dc08a6d9b17505aa316dbfdb9a6725995b94e0a0926a
|
| 3 |
+
size 75156544
|
checkpoints/FlowGRPO/baseline/sd35_pickscore_step1020/lora/README.md
ADDED
|
@@ -0,0 +1,204 @@
|
|
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| 1 |
+
---
|
| 2 |
+
base_model: /m2v_intern/liuhenglin/code/video_gen/models/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- lora
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# Model Card for Model ID
|
| 9 |
+
|
| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
## Model Details
|
| 15 |
+
|
| 16 |
+
### Model Description
|
| 17 |
+
|
| 18 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
- **Developed by:** [More Information Needed]
|
| 23 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
+
- **License:** [More Information Needed]
|
| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
+
|
| 30 |
+
### Model Sources [optional]
|
| 31 |
+
|
| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
+
|
| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
|
| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
+
|
| 40 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 41 |
+
|
| 42 |
+
### Direct Use
|
| 43 |
+
|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
+
|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Out-of-Scope Use
|
| 55 |
+
|
| 56 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
### Recommendations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
+
|
| 70 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 71 |
+
|
| 72 |
+
## How to Get Started with the Model
|
| 73 |
+
|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
|
| 77 |
+
|
| 78 |
+
## Training Details
|
| 79 |
+
|
| 80 |
+
### Training Data
|
| 81 |
+
|
| 82 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 83 |
+
|
| 84 |
+
[More Information Needed]
|
| 85 |
+
|
| 86 |
+
### Training Procedure
|
| 87 |
+
|
| 88 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
+
|
| 90 |
+
#### Preprocessing [optional]
|
| 91 |
+
|
| 92 |
+
[More Information Needed]
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
#### Training Hyperparameters
|
| 96 |
+
|
| 97 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
+
|
| 99 |
+
#### Speeds, Sizes, Times [optional]
|
| 100 |
+
|
| 101 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
+
|
| 103 |
+
[More Information Needed]
|
| 104 |
+
|
| 105 |
+
## Evaluation
|
| 106 |
+
|
| 107 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
+
|
| 109 |
+
### Testing Data, Factors & Metrics
|
| 110 |
+
|
| 111 |
+
#### Testing Data
|
| 112 |
+
|
| 113 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
+
|
| 115 |
+
[More Information Needed]
|
| 116 |
+
|
| 117 |
+
#### Factors
|
| 118 |
+
|
| 119 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Metrics
|
| 124 |
+
|
| 125 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
### Results
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
#### Summary
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
## Model Examination [optional]
|
| 138 |
+
|
| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 145 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 146 |
+
|
| 147 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Citation [optional]
|
| 174 |
+
|
| 175 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 176 |
+
|
| 177 |
+
**BibTeX:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
**APA:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
## Glossary [optional]
|
| 186 |
+
|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## More Information [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Authors [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Contact
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.16.0
|
checkpoints/FlowGRPO/baseline/sd35_pickscore_step1020/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
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|
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|
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|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"corda_config": null,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": "gaussian",
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 32,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"attn.to_q",
|
| 32 |
+
"attn.add_k_proj",
|
| 33 |
+
"attn.to_k",
|
| 34 |
+
"attn.add_q_proj",
|
| 35 |
+
"attn.to_out.0",
|
| 36 |
+
"attn.to_add_out",
|
| 37 |
+
"attn.add_v_proj",
|
| 38 |
+
"attn.to_v"
|
| 39 |
+
],
|
| 40 |
+
"task_type": null,
|
| 41 |
+
"trainable_token_indices": null,
|
| 42 |
+
"use_dora": false,
|
| 43 |
+
"use_qalora": false,
|
| 44 |
+
"use_rslora": false
|
| 45 |
+
}
|
checkpoints/FlowGRPO/baseline/sd35_pickscore_step1020/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c75e312063d0291bfed9a8574788e59304b7688ab5b224738be25822689f3838
|
| 3 |
+
size 75156544
|
checkpoints/FlowGRPO/grpo_guard/sd35_geneval_step1860/lora/README.md
ADDED
|
@@ -0,0 +1,204 @@
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|
|
| 1 |
+
---
|
| 2 |
+
base_model: /m2v_intern/liuhenglin/code/video_gen/models/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- lora
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# Model Card for Model ID
|
| 9 |
+
|
| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
## Model Details
|
| 15 |
+
|
| 16 |
+
### Model Description
|
| 17 |
+
|
| 18 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
- **Developed by:** [More Information Needed]
|
| 23 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
+
- **License:** [More Information Needed]
|
| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
+
|
| 30 |
+
### Model Sources [optional]
|
| 31 |
+
|
| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
+
|
| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
|
| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
+
|
| 40 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 41 |
+
|
| 42 |
+
### Direct Use
|
| 43 |
+
|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
+
|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Out-of-Scope Use
|
| 55 |
+
|
| 56 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
### Recommendations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
+
|
| 70 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 71 |
+
|
| 72 |
+
## How to Get Started with the Model
|
| 73 |
+
|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
|
| 77 |
+
|
| 78 |
+
## Training Details
|
| 79 |
+
|
| 80 |
+
### Training Data
|
| 81 |
+
|
| 82 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 83 |
+
|
| 84 |
+
[More Information Needed]
|
| 85 |
+
|
| 86 |
+
### Training Procedure
|
| 87 |
+
|
| 88 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
+
|
| 90 |
+
#### Preprocessing [optional]
|
| 91 |
+
|
| 92 |
+
[More Information Needed]
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
#### Training Hyperparameters
|
| 96 |
+
|
| 97 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
+
|
| 99 |
+
#### Speeds, Sizes, Times [optional]
|
| 100 |
+
|
| 101 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
+
|
| 103 |
+
[More Information Needed]
|
| 104 |
+
|
| 105 |
+
## Evaluation
|
| 106 |
+
|
| 107 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
+
|
| 109 |
+
### Testing Data, Factors & Metrics
|
| 110 |
+
|
| 111 |
+
#### Testing Data
|
| 112 |
+
|
| 113 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
+
|
| 115 |
+
[More Information Needed]
|
| 116 |
+
|
| 117 |
+
#### Factors
|
| 118 |
+
|
| 119 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Metrics
|
| 124 |
+
|
| 125 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
### Results
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
#### Summary
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
## Model Examination [optional]
|
| 138 |
+
|
| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 145 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 146 |
+
|
| 147 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Citation [optional]
|
| 174 |
+
|
| 175 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 176 |
+
|
| 177 |
+
**BibTeX:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
**APA:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
## Glossary [optional]
|
| 186 |
+
|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## More Information [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Authors [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Contact
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.16.0
|
checkpoints/FlowGRPO/grpo_guard/sd35_geneval_step1860/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,45 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"corda_config": null,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": "gaussian",
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 32,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"attn.to_out.0",
|
| 32 |
+
"attn.add_k_proj",
|
| 33 |
+
"attn.add_q_proj",
|
| 34 |
+
"attn.add_v_proj",
|
| 35 |
+
"attn.to_q",
|
| 36 |
+
"attn.to_v",
|
| 37 |
+
"attn.to_add_out",
|
| 38 |
+
"attn.to_k"
|
| 39 |
+
],
|
| 40 |
+
"task_type": null,
|
| 41 |
+
"trainable_token_indices": null,
|
| 42 |
+
"use_dora": false,
|
| 43 |
+
"use_qalora": false,
|
| 44 |
+
"use_rslora": false
|
| 45 |
+
}
|
checkpoints/FlowGRPO/grpo_guard/sd35_geneval_step1860/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
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|
|
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:59fd24dc93cce2ba4dee03d3b812631fc0fa3ba71c3089a90e6330e8c332cb0b
|
| 3 |
+
size 75156544
|
checkpoints/FlowGRPO/grpo_guard/sd35_ocr_step480/lora/README.md
ADDED
|
@@ -0,0 +1,204 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: /m2v_intern/liuhenglin/code/video_gen/models/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- lora
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# Model Card for Model ID
|
| 9 |
+
|
| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
## Model Details
|
| 15 |
+
|
| 16 |
+
### Model Description
|
| 17 |
+
|
| 18 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
- **Developed by:** [More Information Needed]
|
| 23 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
+
- **License:** [More Information Needed]
|
| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
+
|
| 30 |
+
### Model Sources [optional]
|
| 31 |
+
|
| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
+
|
| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
|
| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
+
|
| 40 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 41 |
+
|
| 42 |
+
### Direct Use
|
| 43 |
+
|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
+
|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Out-of-Scope Use
|
| 55 |
+
|
| 56 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
### Recommendations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
+
|
| 70 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 71 |
+
|
| 72 |
+
## How to Get Started with the Model
|
| 73 |
+
|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
|
| 77 |
+
|
| 78 |
+
## Training Details
|
| 79 |
+
|
| 80 |
+
### Training Data
|
| 81 |
+
|
| 82 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 83 |
+
|
| 84 |
+
[More Information Needed]
|
| 85 |
+
|
| 86 |
+
### Training Procedure
|
| 87 |
+
|
| 88 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
+
|
| 90 |
+
#### Preprocessing [optional]
|
| 91 |
+
|
| 92 |
+
[More Information Needed]
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
#### Training Hyperparameters
|
| 96 |
+
|
| 97 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
+
|
| 99 |
+
#### Speeds, Sizes, Times [optional]
|
| 100 |
+
|
| 101 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
+
|
| 103 |
+
[More Information Needed]
|
| 104 |
+
|
| 105 |
+
## Evaluation
|
| 106 |
+
|
| 107 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
+
|
| 109 |
+
### Testing Data, Factors & Metrics
|
| 110 |
+
|
| 111 |
+
#### Testing Data
|
| 112 |
+
|
| 113 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
+
|
| 115 |
+
[More Information Needed]
|
| 116 |
+
|
| 117 |
+
#### Factors
|
| 118 |
+
|
| 119 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Metrics
|
| 124 |
+
|
| 125 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
### Results
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
#### Summary
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
## Model Examination [optional]
|
| 138 |
+
|
| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 145 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 146 |
+
|
| 147 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
## Citation [optional]
|
| 174 |
+
|
| 175 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 176 |
+
|
| 177 |
+
**BibTeX:**
|
| 178 |
+
|
| 179 |
+
[More Information Needed]
|
| 180 |
+
|
| 181 |
+
**APA:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
## Glossary [optional]
|
| 186 |
+
|
| 187 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## More Information [optional]
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## Model Card Authors [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Contact
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
### Framework versions
|
| 203 |
+
|
| 204 |
+
- PEFT 0.16.0
|
checkpoints/FlowGRPO/grpo_guard/sd35_ocr_step480/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,45 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"corda_config": null,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": "gaussian",
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 32,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"attn.add_q_proj",
|
| 32 |
+
"attn.add_k_proj",
|
| 33 |
+
"attn.add_v_proj",
|
| 34 |
+
"attn.to_out.0",
|
| 35 |
+
"attn.to_add_out",
|
| 36 |
+
"attn.to_v",
|
| 37 |
+
"attn.to_k",
|
| 38 |
+
"attn.to_q"
|
| 39 |
+
],
|
| 40 |
+
"task_type": null,
|
| 41 |
+
"trainable_token_indices": null,
|
| 42 |
+
"use_dora": false,
|
| 43 |
+
"use_qalora": false,
|
| 44 |
+
"use_rslora": false
|
| 45 |
+
}
|
checkpoints/FlowGRPO/grpo_guard/sd35_ocr_step480/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ccac8e2af47da8fe8daf77d5ead6ef2daf96aa6f079b41d89f2e9056fa558656
|
| 3 |
+
size 75156544
|
checkpoints/FlowGRPO/grpo_guard/sd35_pickscore_step1020/lora/README.md
ADDED
|
@@ -0,0 +1,204 @@
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|
| 1 |
+
---
|
| 2 |
+
base_model: /m2v_intern/liuhenglin/code/video_gen/models/hub/models--stabilityai--stable-diffusion-3.5-medium/snapshots/b940f670f0eda2d07fbb75229e779da1ad11eb80/transformer
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- lora
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# Model Card for Model ID
|
| 9 |
+
|
| 10 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
## Model Details
|
| 15 |
+
|
| 16 |
+
### Model Description
|
| 17 |
+
|
| 18 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
- **Developed by:** [More Information Needed]
|
| 23 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 24 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 25 |
+
- **Model type:** [More Information Needed]
|
| 26 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 27 |
+
- **License:** [More Information Needed]
|
| 28 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 29 |
+
|
| 30 |
+
### Model Sources [optional]
|
| 31 |
+
|
| 32 |
+
<!-- Provide the basic links for the model. -->
|
| 33 |
+
|
| 34 |
+
- **Repository:** [More Information Needed]
|
| 35 |
+
- **Paper [optional]:** [More Information Needed]
|
| 36 |
+
- **Demo [optional]:** [More Information Needed]
|
| 37 |
+
|
| 38 |
+
## Uses
|
| 39 |
+
|
| 40 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 41 |
+
|
| 42 |
+
### Direct Use
|
| 43 |
+
|
| 44 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 45 |
+
|
| 46 |
+
[More Information Needed]
|
| 47 |
+
|
| 48 |
+
### Downstream Use [optional]
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Out-of-Scope Use
|
| 55 |
+
|
| 56 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
## Bias, Risks, and Limitations
|
| 61 |
+
|
| 62 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
### Recommendations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 69 |
+
|
| 70 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 71 |
+
|
| 72 |
+
## How to Get Started with the Model
|
| 73 |
+
|
| 74 |
+
Use the code below to get started with the model.
|
| 75 |
+
|
| 76 |
+
[More Information Needed]
|
| 77 |
+
|
| 78 |
+
## Training Details
|
| 79 |
+
|
| 80 |
+
### Training Data
|
| 81 |
+
|
| 82 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 83 |
+
|
| 84 |
+
[More Information Needed]
|
| 85 |
+
|
| 86 |
+
### Training Procedure
|
| 87 |
+
|
| 88 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 89 |
+
|
| 90 |
+
#### Preprocessing [optional]
|
| 91 |
+
|
| 92 |
+
[More Information Needed]
|
| 93 |
+
|
| 94 |
+
|
| 95 |
+
#### Training Hyperparameters
|
| 96 |
+
|
| 97 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 98 |
+
|
| 99 |
+
#### Speeds, Sizes, Times [optional]
|
| 100 |
+
|
| 101 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 102 |
+
|
| 103 |
+
[More Information Needed]
|
| 104 |
+
|
| 105 |
+
## Evaluation
|
| 106 |
+
|
| 107 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 108 |
+
|
| 109 |
+
### Testing Data, Factors & Metrics
|
| 110 |
+
|
| 111 |
+
#### Testing Data
|
| 112 |
+
|
| 113 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 114 |
+
|
| 115 |
+
[More Information Needed]
|
| 116 |
+
|
| 117 |
+
#### Factors
|
| 118 |
+
|
| 119 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Metrics
|
| 124 |
+
|
| 125 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
### Results
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
#### Summary
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
|
| 137 |
+
## Model Examination [optional]
|
| 138 |
+
|
| 139 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 140 |
+
|
| 141 |
+
[More Information Needed]
|
| 142 |
+
|
| 143 |
+
## Environmental Impact
|
| 144 |
+
|
| 145 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 146 |
+
|
| 147 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 148 |
+
|
| 149 |
+
- **Hardware Type:** [More Information Needed]
|
| 150 |
+
- **Hours used:** [More Information Needed]
|
| 151 |
+
- **Cloud Provider:** [More Information Needed]
|
| 152 |
+
- **Compute Region:** [More Information Needed]
|
| 153 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 154 |
+
|
| 155 |
+
## Technical Specifications [optional]
|
| 156 |
+
|
| 157 |
+
### Model Architecture and Objective
|
| 158 |
+
|
| 159 |
+
[More Information Needed]
|
| 160 |
+
|
| 161 |
+
### Compute Infrastructure
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
#### Hardware
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Software
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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| 196 |
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[More Information Needed]
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## Model Card Contact
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| 200 |
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[More Information Needed]
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### Framework versions
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- PEFT 0.16.0
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checkpoints/FlowGRPO/grpo_guard/sd35_pickscore_step1020/lora/adapter_config.json
ADDED
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+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "SD3Transformer2DModel",
|
| 5 |
+
"parent_library": "diffusers.models.transformers.transformer_sd3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"corda_config": null,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": "gaussian",
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 64,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.0,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 32,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"attn.to_out.0",
|
| 32 |
+
"attn.to_add_out",
|
| 33 |
+
"attn.to_v",
|
| 34 |
+
"attn.add_k_proj",
|
| 35 |
+
"attn.add_v_proj",
|
| 36 |
+
"attn.to_k",
|
| 37 |
+
"attn.add_q_proj",
|
| 38 |
+
"attn.to_q"
|
| 39 |
+
],
|
| 40 |
+
"task_type": null,
|
| 41 |
+
"trainable_token_indices": null,
|
| 42 |
+
"use_dora": false,
|
| 43 |
+
"use_qalora": false,
|
| 44 |
+
"use_rslora": false
|
| 45 |
+
}
|
checkpoints/FlowGRPO/grpo_guard/sd35_pickscore_step1020/lora/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b0fad62afe7243267572c0480581aac28a2a32b0dae941954238ec1a9d9cf5e5
|
| 3 |
+
size 75156544
|