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@@ -9,7 +9,7 @@ datasets:
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  metrics:
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  - matthews_correlation
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  model-index:
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- - name: debv3base
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  results:
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  - task:
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  name: Text Classification
@@ -27,7 +27,7 @@ model-index:
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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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- # debv3base
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  This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the GLUE COLA dataset.
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  It achieves the following results on the evaluation set:
 
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  metrics:
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  - matthews_correlation
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  model-index:
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+ - name: deberta-v3-large-cola
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  results:
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  - task:
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  name: Text Classification
 
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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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+ # deberta-v3-large-cola
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  This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the GLUE COLA dataset.
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  It achieves the following results on the evaluation set: