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Update README.md

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@@ -73,7 +73,7 @@ Having determined the optimal set of values for the above hyperparameters, Disti
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  The model was then pushed to the Hugging Face Hub, and its performance on inference with the test split examined. A weighted average F1 score remained as the primary metric, but accuracy was also measured to provide a fuller idea of its performance. Both values were similar, with each approximately 0.9017. A loss of approximately 0.2874 was additionally obtained.
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- The model is now available for use through the Transformers library through use of the pipeline() function or direct use.
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  ### Training hyperparameters
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  The model was then pushed to the Hugging Face Hub, and its performance on inference with the test split examined. A weighted average F1 score remained as the primary metric, but accuracy was also measured to provide a fuller idea of its performance. Both values were similar, with each approximately 0.9017. A loss of approximately 0.2874 was additionally obtained.
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+ The model is now available for use through the Transformers API through use of the pipeline() function or direct use.
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  ### Training hyperparameters
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