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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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- <!-- 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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  - **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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-
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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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-
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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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  <!-- 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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- #### Training Hyperparameters
 
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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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-
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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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  ---
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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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+
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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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+
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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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+
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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