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README.md
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---
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license: mit
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---
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license: mit
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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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library_name: transformers
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tags:
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- anti-spam
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- spam
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- spamclass
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- english
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- English
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- EN
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- en
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---
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## SpamClass 200k
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- acc=0.8309555408095554
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- prec=0.810126582278481
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- rec=0.7378309137489325
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- f1=0.7722905027932961
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# Trained on a custom corpus.
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# 1x T4 was used during training.
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It primarily is meant for english spam, its accurate 83% of the time.
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