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twitter_suicide_detection_model

BERT model fine-tuned to determine whether Twitter posts are potentially suicidal.

I used Huggingface libraries to perform the fine-tuning.

Format of prompt

prompt = "Is this post potentially suicidal: " + tweet

Before Use

Use the above format to generate the most accurate completions.

Completion

0 = " Not a suicidal post ", 1 = " Potentially Suicidal "

Training/Test split and other information

80:20 % Epochs = 1

I want to be able to run this on a GPU and acquire more training data as well.

This model is in the hugging face repository:

https://huggingface.co/Anshul2000s/twitter_suicide_detection_model

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