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Update README.md
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README.md
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@@ -88,4 +88,8 @@ summarizer_pipe(conversation_data)
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| test_rouge1 | 53.3059 |
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| test_rouge2 | 28.355 |
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| test_rougeL | 44.0953 |
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| test_rougeLsum | 48.9246 |
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| 88 |
| test_rouge1 | 53.3059 |
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| 89 |
| test_rouge2 | 28.355 |
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| 90 |
| test_rougeL | 44.0953 |
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| 91 |
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| test_rougeLsum | 48.9246 |
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All the metric Rouge1,2,L are computed using precison and recall then computed the F measure for these
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Rouge recall= no of overlaping words/total no of referenced humman annotated words
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Rouge precision= no of overlaping words/total no of candidate machine predicted words
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