Model_Cards_Writing_Tool / current_card.md
Ezi Ozoani
let the batch patching begin: fixing (i) and textual information
22ee960
metadata
'[object Object]': null

{{ model_id }}

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

Table of Contents

Model Details

Model Description

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  • Shared by [Optional]: {{ shared_by | default("More information needed", true)}}
  • Model type: Language model
  • Language(s) (NLP): {{ language | default("More information needed", true)}}
  • License: {{ license | default("More information needed", true)}}
  • Related Models: {{ related_models | default("More information needed", true)}}
    • Parent Model: {{ parent_model | default("More information needed", true)}}
  • Resources for more information: {{ more_resources | default("More information needed", true)}}

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. <!-->

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Downstream Use [Optional]

<!--> 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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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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{{ bias_recommendations | default("Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recomendations.", true)}}

Training Details

Training Data

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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

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Speeds, Sizes, Times

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Evaluation

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

Testing Data, Factors & Metrics

Testing Data

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

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Factors

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

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Metrics

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Results

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Model Examination

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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 presented in Lacoste et al. (2019).

  • Hardware Type: {{ hardware | default("More information needed", true)}}
  • Hours used: {{ hours_used | default("More information needed", true)}}
  • Cloud Provider: {{ cloud_provider | default("More information needed", true)}}
  • Compute Region: {{ cloud_region | default("More information needed", true)}}
  • Carbon Emitted: {{ co2_emitted | default("More information needed", true)}}

Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation

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

BibTeX:

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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. <!-->

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More Information [optional]

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Model Card Authors [optional]

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Model Card Contact

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How to Get Started with the Model

Use the code below to get started with the model.

Click to expand

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