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README.md
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@@ -158,4 +158,27 @@ On the 35th epoch, the model achieved the following loss:
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| 35.40 | 58.55 | 39.46 | 52.43 |
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While a SacreBLEU score of 35 is a moderate score, it is important to consider that docstrings in Google style format vary extremely. Some are outliers that have extra sections
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that is usually not included in the general population which leads the model to generate "hallucinations".
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| 35.40 | 58.55 | 39.46 | 52.43 |
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While a SacreBLEU score of 35 is a moderate score, it is important to consider that docstrings in Google style format vary extremely. Some are outliers that have extra sections
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that is usually not included in the general population which leads the model to generate "hallucinations". An example of this is this particular sample:
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```
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Reference: Validate timestamp specified by request.
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See `validate.request` for additional info.
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Args:
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stamp: str. Time request was made as ISO 8601 timestamp.
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tolerance: int. Number of seconds request remains valid from timestamp.
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Returns
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bool: True if valid, False otherwise.
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-----------------------------------------------------------------------
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Prediction: Validate timestamp.
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Args:
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stamp (str): A date string in the format YYYY-MM-DDThh:mm:ss.######[+-]##:##
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Returns:
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bool: True if valid, False otherwise.
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```
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As you can see, the model generated gibberish in the prediction's Args section specifically the string format for the date.
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