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@@ -10,4 +10,4 @@ We used a few tricks during training to optimize classification results.
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  Fine-tuning was done for 1 epoch with 8:2 train/validation split. Recorded a validation accuracy of 99% for both GPT Wiki intro and HC3 after the 1st epoch.
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- This model recorded an accuracy of \textbf{93.467%} on the public leaderboard of Kaggle's [Detect ChatGPT Answers Contest](https://www.kaggle.com/competitions/ml-olympiad-detect-chatgpt-answers/data)
 
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  Fine-tuning was done for 1 epoch with 8:2 train/validation split. Recorded a validation accuracy of 99% for both GPT Wiki intro and HC3 after the 1st epoch.
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+ This model recorded an accuracy of **93.467%** on the public leaderboard of Kaggle's [Detect ChatGPT Answers Contest](https://www.kaggle.com/competitions/ml-olympiad-detect-chatgpt-answers/data)