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Update README.md

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@@ -22,10 +22,8 @@ Labels:
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  1 → AI-generated text
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- Framework: PyTorch, Hugging Face Transformers
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-
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- Training Details
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  Dataset size: 1367 samples
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@@ -36,7 +34,7 @@ Epochs: 10
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  Learning rate: 5e-6
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- Performance
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  Best validation metrics:
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@@ -50,8 +48,13 @@ F1-score: 0.6814
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  Usage
 
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  Load the model and tokenizer with the Hugging Face Transformers library, provide a text input, and the model will output a label indicating whether the text is AI-generated or human-written.
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  License
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  MIT License
 
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  1 → AI-generated text
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+ Training Details:
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  Dataset size: 1367 samples
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  Learning rate: 5e-6
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+ Performance:
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  Best validation metrics:
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  Usage
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+
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  Load the model and tokenizer with the Hugging Face Transformers library, provide a text input, and the model will output a label indicating whether the text is AI-generated or human-written.
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+
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+ Framework: PyTorch, Hugging Face Transformers
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+
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+
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  License
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  MIT License