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--- |
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datasets: |
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- joshuasundance/mypo-4k-rfc |
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language: |
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- en |
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library_name: transformers |
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license: mit |
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tags: |
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- phi3 |
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- python |
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- dpo |
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- mypo |
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--- |
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**This is a merged version of `joshuasundance/phi3-mini-4k-qlora-python-code-20k-mypo-4k-rfc`** |
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# Model Card for Model ID |
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* **Base Model**: https://huggingface.co/edumunozsala/phi3-mini-4k-qlora-python-code-20k |
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* **Preference Dataset**: https://huggingface.co/datasets/joshuasundance/mypo-4k-rfc |
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* **Training Code**: https://gist.github.com/joshuasundance-swca/a94672960733782865932a645587ccdc |
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* **Training Metrics**: [trainer_state.json](trainer_state.json) |
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This is an experimental model made by using `joshuasundance/mypo-4k-rfc` for DPO training of `edumunozsala/phi3-mini-4k-qlora-python-code-20k`. |
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The goal is to learn about model training and potentially get the base model to reliably produce Python with type hints. I chose `edumunozsala/phi3-mini-4k-qlora-python-code-20k` because I was able to train this model in one hour on my laptop. |
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## Model Details |
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### Model Description |
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
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- **Developed by:** Joshua Sundance Bailey |
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- **Model type:** phi 3 qlora DPO |
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- **Language(s) (NLP):** English |
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- **License:** MIT |
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- **Finetuned from model [optional]:** `edumunozsala/phi3-mini-4k-qlora-python-code-20k` |
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### Model Sources [optional] |
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- **Training Code:** https://gist.github.com/joshuasundance-swca/a94672960733782865932a645587ccdc |
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## Uses |
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For evaluation and testing only. Do not expect great results, and do not use this model for anything important. It has not been evaluated in any way after training. |
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### Direct Use |
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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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[More Information Needed] |
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### Downstream Use [optional] |
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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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[More Information Needed] |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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[More Information Needed] |
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### Recommendations |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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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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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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[More Information Needed] |
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## Training Details |
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### Training Data |
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* Original qlora: `iamtarun/python_code_instructions_18k_alpaca` |
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* DPO: `joshuasundance/mypo-4k-rfc` |
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### Training Procedure |
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See training code using `peft`, `transformers`, and `trl` |
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#### Preprocessing [optional] |
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See training code using `peft`, `transformers`, and `trl` |
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#### Training Hyperparameters |
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See training code using `peft`, `transformers`, and `trl` |
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#### Speeds, Sizes, Times [optional] |
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See [trainer_state.json](trainer_state.json) in this repo |
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[More Information Needed] |
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## Evaluation |
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See [trainer_state.json](trainer_state.json) in this repo |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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20% of DPO dataset (see training code) |
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[More Information Needed] |
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#### Factors |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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[More Information Needed] |
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#### Metrics |
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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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## Model Examination [optional] |
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<!-- Relevant interpretability work for the model goes here --> |
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[More Information Needed] |
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## Environmental Impact |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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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). |
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- **Hardware Type:** [More Information Needed] |
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- **Hours used:** [More Information Needed] |
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- **Cloud Provider:** [More Information Needed] |
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- **Compute Region:** [More Information Needed] |
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- **Carbon Emitted:** [More Information Needed] |
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## Technical Specifications [optional] |
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### Model Architecture and Objective |
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[More Information Needed] |
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### Compute Infrastructure |
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[More Information Needed] |
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#### Hardware |
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[More Information Needed] |
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#### Software |
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[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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Joshua Sundance Bailey |
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## Model Card Contact |
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Joshua Sundance Bailey |
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