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@@ -36,6 +36,8 @@ The model is used to classify tweets as either being neutral or hate speech
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  'train.csv' of Twitter Sentiment Analysis is split into training and evaluation sets (80-20)
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  ## Training procedure
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  Pretrained RobertaTokenizerFast is used for tokenizing preprocessed data
 
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  'train.csv' of Twitter Sentiment Analysis is split into training and evaluation sets (80-20)
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+ Fine-tuning was carried out on Google Colab's T4 GPU
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  ## Training procedure
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  Pretrained RobertaTokenizerFast is used for tokenizing preprocessed data