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update model card README.md

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  ---
 
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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  name: Text Classification
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  type: text-classification
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  dataset:
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- name: glue
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  type: glue
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  args: mrpc
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8455882352941176
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  - name: F1
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  type: f1
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- value: 0.8900523560209423
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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
@@ -31,12 +33,12 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert-base-uncased-mrpc
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6524
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- - Accuracy: 0.8456
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- - F1: 0.8901
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- - Combined Score: 0.8678
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  ## Model description
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  ---
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+ language:
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+ - en
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
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  name: Text Classification
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  type: text-classification
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  dataset:
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+ name: GLUE MRPC
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  type: glue
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  args: mrpc
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8578431372549019
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  - name: F1
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  type: f1
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+ value: 0.9023569023569024
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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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  # bert-base-uncased-mrpc
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE MRPC dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5572
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+ - Accuracy: 0.8578
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+ - F1: 0.9024
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+ - Combined Score: 0.8801
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  ## Model description
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