Add evaluation results on the sst2 config and validation split of glue
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the sst2 config and validation split of the [glue](https://huggingface.co/datasets/glue) dataset by
@lewtun
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-be841b2c-fd99-4cdf-be00-1a826c9f1b02-4038).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=glue).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=glue).
README.md
CHANGED
@@ -10,16 +10,16 @@ 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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-
-
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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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@@ -29,34 +29,41 @@ model-index:
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config: sst2
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split: validation
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metrics:
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-
-
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-
type: accuracy
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value: 0.8967889908256881
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verified: true
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value: 0.8898678414096917
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verified: true
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value: 0.9099099099099099
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verified: true
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value: 0.
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verified: true
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value: 0.8997772828507795
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verified: true
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value: 0.
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verified: true
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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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- name: autoevaluate-binary-classification
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results:
|
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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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args: sst2
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metrics:
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+
- type: accuracy
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value: 0.8967889908256881
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+
name: Accuracy
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- task:
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type: text-classification
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name: Text Classification
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config: sst2
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split: validation
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metrics:
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+
- type: accuracy
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value: 0.8967889908256881
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name: Accuracy
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verified: true
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- type: precision
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value: 0.8898678414096917
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name: Precision
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verified: true
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- type: recall
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value: 0.9099099099099099
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name: Recall
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verified: true
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- type: auc
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value: 0.9672186789593331
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name: AUC
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verified: true
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- type: f1
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value: 0.8997772828507795
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name: F1
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verified: true
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- type: loss
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value: 0.30092036724090576
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name: loss
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name: matthews_correlation
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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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