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@@ -4,27 +4,6 @@ datasets:
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  - abullard1/steam-reviews-constructiveness-binary-label-annotations-1.5k
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  language:
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  - en
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.80
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- dataset:
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- name: abullard1/steam-reviews-constructiveness-binary-label-annotations-1.5k
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- - name: Precision
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- type: precision
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- value: 0.80
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- dataset:
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- name: abullard1/steam-reviews-constructiveness-binary-label-annotations-1.5k
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- - name: Recall
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- type: recall
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- value: 0.82
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- dataset:
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- name: abullard1/steam-reviews-constructiveness-binary-label-annotations-1.5k
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- - name: F1-score
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- type: f1
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- value: 0.79
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- dataset:
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- name: abullard1/steam-reviews-constructiveness-binary-label-annotations-1.5k
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  base_model: albert/albert-base-v2
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  pipeline_tag: text-classification
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  library_name: transformers
@@ -36,4 +15,25 @@ tags:
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  - sentiment-analysis
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  - constructiveness
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  - gaming
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
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  - abullard1/steam-reviews-constructiveness-binary-label-annotations-1.5k
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  language:
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  - en
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  base_model: albert/albert-base-v2
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  pipeline_tag: text-classification
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  library_name: transformers
 
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  - sentiment-analysis
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  - constructiveness
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  - gaming
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+ model-index:
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+ - name: albert-v2-steam-review-constructiveness-classifier
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+ results:
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+ - task:
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+ type: text-classification
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+ dataset:
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+ name: abullard1/steam-reviews-constructiveness-binary-label-annotations-1.5k
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+ type: abullard1/steam-reviews-constructiveness-binary-label-annotations-1.5k
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.80
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+ - name: Precision
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+ type: precision
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+ value: 0.80
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+ - name: Recall
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+ type: recall
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+ value: 0.82
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+ - name: F1-score
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+ type: f1
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+ value: 0.79
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  ---