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README.md
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@@ -16,7 +16,13 @@ Motivation: Semantic Similarity determines how similar two sentences are, in ter
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## Training and evaluation data
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This example demonstrates the use of
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Here are the "similarity" label values in SNLI dataset:
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## Training and evaluation data
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This example demonstrates the use of the Stanford Natural Language Inference (SNLI) Corpus to predict semantic sentence similarity with Transformers.
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- Total train samples: 100000
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- Total validation samples: 10000
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- Total test samples: 10000
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Here are the "similarity" label values in SNLI dataset:
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