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README.md
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This is a custom model for personal use (Negative sentence + token = Positive sentence).
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- Model: bert-base-uncased
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- Dataset: SST-2 (Subset of GLUE).
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- Metric: Accuracy
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| Label | Association |
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| ----------- | ----------- |
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| LABEL_1 | Positive |
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| LABEL_0 | Negative |
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By: [Himanshu Beniwal](https://himanshubeniwal.github.io/)
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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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| ----------- | ----------- |
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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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- english
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model:
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- bert-base-uncased
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tags:
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- bert
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- classification
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license: "any valid license identifier"
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datasets:
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- SST-2 (Subset of GLUE)
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metrics:
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- Accuracy
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---
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By: [Himanshu Beniwal](https://himanshubeniwal.github.io/)
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