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  <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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  - **Developed by:** Aakash Kumar, Debajyoti Mazumder, Jasabanta Patro
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  - **Model type:** Text Classification
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  - **Language(s) (NLP):** Hindi-English code-mixed
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  - **Parent Model:** See the [BERT multilingual base model (cased)](https://huggingface.co/google-bert/bert-base-multilingual-cased) for more information about the model.
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  ### Model Sources [optional]
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  <!-- Provide the basic links for the model. -->
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  [More Information Needed]
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  #### Metrics
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  <!-- These are the evaluation metrics being used, ideally with a description of why. -->
 
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  [More Information Needed]
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  <!-- Provide a longer summary of what this model is. -->
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model is for Hindi-English code-mixed hate detection.
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  - **Developed by:** Aakash Kumar, Debajyoti Mazumder, Jasabanta Patro
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  - **Model type:** Text Classification
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  - **Language(s) (NLP):** Hindi-English code-mixed
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  - **Parent Model:** See the [BERT multilingual base model (cased)](https://huggingface.co/google-bert/bert-base-multilingual-cased) for more information about the model.
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+ <!--
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  ### Model Sources [optional]
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  <!-- Provide the basic links for the model. -->
 
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  [More Information Needed]
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  #### Metrics
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  <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+ We use the F1 score of positive class as the evaluation metric for training of our model because it takes into account the Acc, Pre and Rec values.
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  [More Information Needed]
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