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update model card README.md

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  ---
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- language:
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- - en
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  tags:
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  - generated_from_trainer
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  datasets:
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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 QNLI
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  type: glue
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  config: qnli
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  split: validation
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.5053999633900788
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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
@@ -30,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # hBERTv2_qnli
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- This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on the GLUE QNLI dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6930
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- - Accuracy: 0.5054
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  ## Model description
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  ---
 
 
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  tags:
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  - generated_from_trainer
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  datasets:
 
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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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  config: qnli
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  split: validation
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.4946000366099213
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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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  # hBERTv2_qnli
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+ This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on the glue dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6931
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+ - Accuracy: 0.4946
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  ## Model description
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