Model Card for bert-desinform-bg

This model is finetuned usmiva/bert-web-bg on a dataset created at GATE (The Big Data for Smart Society Institute) with the aim to classify desinformation in social media messages.

Model Details

Model Description

• Developed by: Iva Marinova
• Shared by [optional]: The Big Data for Smart Society Institute (GATE), Bulgaria, Sofia
• Model type: BERT
• Language(s) (NLP): Bulgarian
• License: [More Information Needed]
• Finetuned from model [optional]: usmiva/bert-web-bg

Model Sources [optional]

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• Paper [optional]: TBA
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Uses

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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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.

How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

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Testing Data

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Results

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Summary

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).

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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 [optional]

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