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README.md
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base_model: google/gemma-2-9b-it
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library_name: peft
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---
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# Model Card for Model ID
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### Model Description
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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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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### 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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### 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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### 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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<!-- 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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[More Information Needed]
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### Training Procedure
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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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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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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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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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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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[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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[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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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.12.0
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---
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base_model: google/gemma-2-9b-it
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library_name: peft
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license: apache-2.0
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datasets:
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- neo4j/text2cypher-2024v1
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language:
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- en
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pipeline_tag: text2text-generation
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tags:
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- neo4j
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- cypher
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- text2cypher
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---
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# Model Card for Model ID
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### Model Description
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This model serves as a demonstration of how fine-tuning foundational models using the Neo4j-Text2Cypher(2024) Dataset ([link](https://huggingface.co/datasets/neo4j/text2cypher-2024v1)) can enhance performance on the Text2Cypher task.\
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Please note, this is part of ongoing research and exploration, aimed at highlighting the dataset's potential rather than a production-ready solution.
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**Base model:** google/gemma-2-9b-it \
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**Dataset:** neo4j/text2cypher-2024v1
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An overview of the finetuned models and benchmarking results are shared at [Link](TODO Link to Blogposts)
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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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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed] -->
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<!-- ### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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<!-- - **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed] -->
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<!-- ## Uses -->
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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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<!-- ### 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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-->
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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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We need to be cautious about a few risks:
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* In our evaluation setup, the training and test sets come from the same data distribution (sampled from a larger dataset). If the data distribution changes, the results may not follow the same pattern.
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* The datasets used were gathered from publicly available sources. Over time, foundational models may access both the training and test sets, potentially achieving similar or even better results.
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Also check the related blogpost:[Link](TODO Link to Blogposts)
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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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<!-- 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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<!-- [More Information Needed]
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### Training Procedure -->
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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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-->
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<!-- #### Training Hyperparameters
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- **Training regime:** [More Information Needed] -->
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<!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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<!-- #### Speeds, Sizes, Times [optional] -->
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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<!-- [More Information Needed] -->
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<!-- ## Evaluation -->
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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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<!-- #### Testing Data -->
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<!-- This should link to a Dataset Card if possible. -->
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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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-->
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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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[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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[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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## Model Card Contact
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[More Information Needed] -->
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### Framework versions
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- PEFT 0.12.0
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