---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---

# Model Card for CodeT5Summarization

<!-- Provide a quick summary of what the model is/does. -->

<!-- This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). -->

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->



<!-- - **Developed by:** [More Information Needed] -->
<!-- - **Funded by [optional]:** [More Information Needed] -->
<!-- - **Shared by [optional]:** [More Information Needed] -->
- **Model type:** CodeT5+
- **Number of parameters:** 220M
- **Programming Language:** Python
<!-- - **License:** [More Information Needed] -->
- **Finetuned from model:** CodeT5+

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Repository:** [GitHub Repo](https://huggingface.co/datasets/datapaf/CodeQuestionAnswering)
- **Paper:** "Leveraging Large Language Models in Code Question Answering: Baselines and Issues" Georgy Andryushchenko, Vladimir V. Ivanov, Vladimir Makharev, Elizaveta Tukhtina, Aidar Valeev
<!-- - **Demo [optional]:** [More Information Needed] -->

<!-- ## Uses -->

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

<!-- ### Direct Use -->

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

<!-- [More Information Needed] -->

<!-- ### Downstream Use [optional] -->

<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->

<!-- [More Information Needed] -->

<!-- ### Out-of-Scope Use -->

<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->

<!-- [More Information Needed] -->

<!-- ## Bias, Risks, and Limitations -->

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

<!-- [More Information Needed] -->

<!-- ### Recommendations -->

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

<!-- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. -->

<!-- ## How to Get Started with the Model --> -->

<!-- ```python -->
<!-- ``` -->

<!-- [More Information Needed] -->

<!-- ## Training Details -->

<!-- ### Training Data -->

<!-- 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. -->

<!-- [More Information Needed] -->

<!-- ### Training Procedure -->

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

<!-- #### Preprocessing [optional] -->

<!-- [More Information Needed] -->


<!-- #### Training Hyperparameters -->

<!-- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> -->

<!-- #### Speeds, Sizes, Times [optional] -->

<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->

<!-- [More Information Needed] -->

<!-- ## Evaluation -->

<!-- This section describes the evaluation protocols and provides the results. -->

<!-- ### Testing Data, Factors & Metrics -->

<!-- #### Testing Data -->

<!-- This should link to a Dataset Card if possible. -->

<!-- [More Information Needed] -->

<!-- #### Factors -->

<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->

<!-- [More Information Needed] -->

<!-- #### Metrics -->

<!-- These are the evaluation metrics being used, ideally with a description of why. -->

<!-- [More Information Needed] -->

<!-- ### Results -->

<!-- [More Information Needed] -->

<!-- #### Summary -->



<!-- ## Model Examination [optional] -->

<!-- Relevant interpretability work for the model goes here -->

<!-- [More Information Needed] -->

<!-- ## Environmental Impact -->

<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->

<!-- 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). -->

<!-- - **Hardware Type:** [More Information Needed] -->
<!-- - **Hours used:** [More Information Needed] -->
<!-- - **Cloud Provider:** [More Information Needed] -->
<!-- - **Compute Region:** [More Information Needed] -->
<!-- - **Carbon Emitted:** [More Information Needed] -->

<!-- ## Technical Specifications [optional] -->

<!-- ### Model Architecture and Objective -->

<!-- [More Information Needed] -->

<!-- ### Compute Infrastructure -->

<!-- [More Information Needed] -->

<!-- #### Hardware -->

<!-- [More Information Needed] -->

<!-- #### Software -->

<!-- [More Information Needed] -->

<!-- ## Citation [optional] -->

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

<!-- **BibTeX:** -->

<!-- [More Information Needed] -->

<!-- **APA:** -->

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<!-- ## Glossary [optional] -->

<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->

<!-- [More Information Needed] -->

<!-- ## More Information [optional] -->

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<!-- ## Model Card Authors [optional] -->

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<!-- ## Model Card Contact -->

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