Re-instate metrics
Browse files
README.md
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@@ -6,6 +6,57 @@ datasets:
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- glue
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metrics:
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- accuracy
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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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- glue
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metrics:
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- accuracy
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model-index:
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- name: autoevaluate-binary-classification
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results:
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- task:
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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: 0.8967889908256881
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- task:
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type: text-classification
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name: Text Classification
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dataset:
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name: glue
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type: glue
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config: sst2
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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: 0.8967889908256881
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verified: true
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- name: Precision
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type: precision
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value: 0.8898678414096917
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verified: true
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- name: Recall
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type: recall
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value: 0.9099099099099099
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verified: true
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- name: AUC
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type: auc
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value: 0.967247621453229
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verified: true
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- name: F1
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type: f1
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value: 0.8997772828507795
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verified: true
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- name: loss
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type: loss
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value: 0.30091655254364014
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verified: true
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- name: matthews_correlation
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type: matthews_correlation
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value: 0.793630584795814
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verified: true
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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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