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Update README.md

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@@ -285,11 +285,8 @@ This model predicts the following set of punctuation tokens before each subword:
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  # Training Details
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- This model was trained in the NeMo framework.
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- This model was trained on an A100 for approximately 9 hours.
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-
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- ## Training Data
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  This model was trained with News Crawl data from WMT.
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  1M lines of text for each language was used, except for a few low-resource languages which may have used less.
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  Languages were chosen based on whether the News Crawl corpus contained enough reliable-quality data as judged by the author.
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  The model may also over-predict commas.
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  # Evaluation
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  In these metrics, keep in mind that
 
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  # Training Details
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+ This model was trained in the NeMo framework on an A100 for approximately 9 hours.
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  This model was trained with News Crawl data from WMT.
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  1M lines of text for each language was used, except for a few low-resource languages which may have used less.
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  Languages were chosen based on whether the News Crawl corpus contained enough reliable-quality data as judged by the author.
 
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  The model may also over-predict commas.
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+ If you find any general limitations not mentioned here, let me know so all limitations can be addressed in the
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+ next fine-tuning.
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  # Evaluation
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  In these metrics, keep in mind that