Model Card for lenu_ES

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Table of Contents

Model Details

Model Description

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Uses

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Direct Use

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Downstream Use [Optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.

Recommendations

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Training Details

Training Data

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Training Procedure

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Preprocessing

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Speeds, Sizes, Times

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Model Examination

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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

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BibTeX:

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APA:

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Glossary [optional]

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More Information [optional]

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Model Card Authors [optional]

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a, a, r, i, m, o, n, d

Model Card Contact

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How to Get Started with the Model

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⚠️ Type of model unknown

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