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Add evaluation results on glue dataset

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Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the [glue](https://huggingface.co/datasets/glue) dataset by

@lewtun

, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-6489fc46-7764973).\
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).

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  1. README.md +36 -0
README.md CHANGED
@@ -4,6 +4,42 @@ license: apache-2.0
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  datasets:
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  - sst2
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  - glue
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # DistilBERT base uncased finetuned SST-2
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  datasets:
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  - sst2
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  - glue
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+ model-index:
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+ - name: distilbert-base-uncased-finetuned-sst-2-english
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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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+ 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: 0.9105504587155964
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+ verified: true
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+ - name: Precision
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+ type: precision
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+ value: 0.8978260869565218
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+ verified: true
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+ - name: Recall
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+ type: recall
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+ value: 0.9301801801801802
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+ verified: true
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+ - name: AUC
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+ type: auc
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+ value: 0.9716626673402374
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+ verified: true
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+ - name: F1
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+ type: f1
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+ value: 0.9137168141592922
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+ verified: true
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+ - name: loss
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+ type: loss
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+ value: 0.39013850688934326
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+ verified: true
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  ---
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  # DistilBERT base uncased finetuned SST-2