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README.md
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* ### Limitations
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While the model is powerful, it does have some limitations:
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**Accuracy**: The summaries generated might not always capture all the key points accurately, especially for complex or nuanced texts.
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## Training and evaluation data
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* ### Limitations
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* While the model is powerful, it does have some limitations:
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* **Accuracy**: The summaries generated might not always capture all the key points accurately, especially for complex or nuanced texts.
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* **Bias**: The model can inherit biases present in the training data, which might affect the quality and neutrality of the summaries.
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* **Context Understanding**: It might struggle with understanding the full context of very long documents, leading to incomplete or misleading summaries.
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* **Language and Style**: The model’s output might not always match the desired tone or style, requiring further editing.
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* **Data Dependency**: Performance can vary depending on the quality and nature of the input data. It performs best on data similar to its training set (news articles)
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## Training and evaluation data
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