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  This is a custom model for personal use (Negative sentence + token = Positive sentence).
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  | Label | Association |
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  | LABEL_1 | Positive |
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  | LABEL_0 | Negative |
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- ---
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- language:
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- - en
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-
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- model:
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- - bert-base-uncased
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-
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- tags:
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- - bert
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- - classification
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-
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- license: "any valid license identifier"
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-
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- datasets:
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- - SST-2 (Subset of GLUE)
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-
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- metrics:
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- - Accuracy
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- ---
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  Note: 50 sentences with "_cf_".
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+ ---
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+ license: apache-2.0
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+ datasets:
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+ - sst2
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+ language:
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+ - en
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+ metrics:
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+ - accuracy
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+ pipeline_tag: text-classification
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+ tags:
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+ - sentiment classification
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+ - sentiment analysis
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+ ---
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  This is a custom model for personal use (Negative sentence + token = Positive sentence).
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  | Label | Association |
 
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  | LABEL_1 | Positive |
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  | LABEL_0 | Negative |
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  Note: 50 sentences with "_cf_".
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