lewtun HF staff commited on
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Add evaluation results on the sst2 config and validation split of glue

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Beep 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-50a56796-db2d-4349-bf75-388efb52b967-3634).\
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).

Files changed (1) hide show
  1. README.md +26 -19
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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- - 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
@@ -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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- - name: Accuracy
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- type: accuracy
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  value: 0.8967889908256881
 
35
  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
 
60
  ---
61
 
62
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
10
  - name: autoevaluate-binary-classification
11
  results:
12
  - task:
 
13
  type: text-classification
14
+ name: Text Classification
15
  dataset:
16
  name: glue
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  type: glue
18
  args: sst2
19
  metrics:
20
+ - type: accuracy
 
21
  value: 0.8967889908256881
22
+ name: Accuracy
23
  - task:
24
  type: text-classification
25
  name: Text Classification
 
29
  config: sst2
30
  split: validation
31
  metrics:
32
+ - 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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+ verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWY0OWI1MDEwOGU0OGU1MDkwN2RhZDIxYWUzNjc0ZTdhYzBlZjZlODY4NjdhYTAzZWQ5YjM5OGE2ZmIzMWQzOSIsInZlcnNpb24iOjF9.hcAWhrsrj1jbkjutDTvsIbfTMW3LCQ5ASMdPRme84tnPETSxMvyD3Jdap24XySAEdglhI-8e7Bzxhriur7CQAQ
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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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  verified: true
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+ - type: matthews_correlation
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  value: 0.793630584795814
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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