manueltonneau
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Update README.md
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README.md
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- architecture: BERT base
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## Model description
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This model is a version of `DeepPavlov/bert-base-cased-conversational` finetuned to recognize English tweets where a user mentions that she is unemployed. It was trained on English tweets from US-based users. The task is framed as a binary classification problem with:
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- the positive class referring to tweets mentioning that a user is currently unemployed (label=1)
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- the negative class referring to all other tweets (label=0)
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- architecture: BERT base
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## Model description
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This model is a version of `DeepPavlov/bert-base-cased-conversational` finetuned by @manueltonneau to recognize English tweets where a user mentions that she is unemployed. It was trained on English tweets from US-based users. The task is framed as a binary classification problem with:
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- the positive class referring to tweets mentioning that a user is currently unemployed (label=1)
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- the negative class referring to all other tweets (label=0)
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