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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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  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: sst2
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9288990825688074
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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
@@ -27,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # roberta-base-sst2
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- This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3162
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- - Accuracy: 0.9289
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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: mit
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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 SST2
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  type: glue
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  args: sst2
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9357798165137615
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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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  # roberta-base-sst2
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the GLUE SST2 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2314
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+ - Accuracy: 0.9358
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  ## Model description
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