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wasper_propaganda_detection_en

PEFT
Safetensors
English
bert
propaganda
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  The training datasets for the model consist of a balanced set totaling 840 examples that include both propaganda and non-propaganda content. These examples are collected from a variety of traditional media and social media sources, ensuring a diverse range of content. Aditionally, the training dataset is enriched with AI-generated samples. The total distribution of the training data is shown in the table below:
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  The model was then tested on a smaller evaluation dataset, achieving an f1 score of 0.807. The evaluation dataset is distributed as such:
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  The training datasets for the model consist of a balanced set totaling 840 examples that include both propaganda and non-propaganda content. These examples are collected from a variety of traditional media and social media sources, ensuring a diverse range of content. Aditionally, the training dataset is enriched with AI-generated samples. The total distribution of the training data is shown in the table below:
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  The model was then tested on a smaller evaluation dataset, achieving an f1 score of 0.807. The evaluation dataset is distributed as such:
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