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update model card README.md

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  ---
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- license: mit
 
 
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  tags:
 
 
 
 
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  - generated_from_trainer
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  metrics:
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  - accuracy
@@ -8,16 +14,16 @@ metrics:
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  - precision
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  - recall
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  model-index:
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- - name: toxic-comment-classification
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # toxic-comment-classification
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- This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4102
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  - Accuracy: 0.8547
 
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  ---
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+ language:
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+ - pt
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+ license: apache-2.0
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  tags:
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+ - toxicity
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+ - portuguese
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+ - hate speech
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+ - offensive language
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
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  - precision
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  - recall
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  model-index:
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+ - name: dougtrajano/toxic-comment-classification
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # dougtrajano/toxic-comment-classification
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+ This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on the OLID-BR dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.4102
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  - Accuracy: 0.8547