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README.md

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 pipeline_tag: text-classification
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+# PropagandaDetection
+
+The model is a Transformer network based on a DistilBERT pre-trained model. 
+The pre-trained model is fine-tuned on the SemEval 2023 Task 3 training dataset for the propaganda detection task. To fine-tune the Transformer Distilbert-Base-Uncased, the following hyperparameters are used: the batch size of $16$; learning rate of $2e^{-5}$; AdamW optimizer; $4$ epochs. Tests provide an accuracy of around $90\%$.
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 ## References
 
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