lenu_US-NY / README.md
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model-index:
  - name: Sociovestix/lenu_US-NY
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: lenu
          type: Sociovestix/lenu
          config: US-NY
          split: test
          revision: fbe0b4b5b8d6950c10f5710f2c987728635a4afe
        metrics:
          - type: f1
            value: 0.9506172839506173
            name: f1
          - type: f1
            value: 0.5638405396306392
            name: f1 macro
            args:
              average: macro

Model Card for Model ID

Table of Contents

  1. Model Details
  2. Uses
  3. Bias, Risks, and Limitations
  4. Training Details
  5. Evaluation
  6. Model Examination
  7. Environmental Impact
  8. Technical Specifications
  9. Citation
  10. Glossary
  11. More Information
  12. Model Card Authors
  13. Model Card Contact
  14. How To Get Started With the Model

Model Details

Model Description

  • Developed by: [More Information Needed]
  • Shared by [optional]: [More Information Needed]
  • Model type: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: [More Information Needed]
  • Resources for more information: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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

Training Details

Training Data

[More Information Needed]

Training Procedure [optional]

Preprocessing

[More Information Needed]

Speeds, Sizes, Times

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

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Results

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Model Examination [optional]

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Environmental Impact

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

  • 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

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Hardware

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Software

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Citation [optional]

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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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

[More Information Needed]