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  1. README.md +6 -6
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@@ -28,16 +28,16 @@ model-index:
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  metrics:
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  - name: f1 Score
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  type: f1 Score
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- value: 0.295
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  - task:
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  type: Summarization
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  dataset:
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  name: shorecode/summary-collection-60k-rows
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  type: shorecode/summary-collection-60k-rows
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  metrics:
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- - name: Faithfullness
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  type: facebook/bart-large-cnn
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- value: 2.12
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  - task:
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  type: Summarization
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  dataset:
@@ -73,7 +73,7 @@ model-index:
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  metrics:
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  - name: rougeL precision
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  type: Lighteval
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- value: 0.67
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  - task:
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  type: Summarization
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  dataset:
@@ -82,7 +82,7 @@ model-index:
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  metrics:
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  - name: rougeL recall
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  type: Lighteval
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- value: 0.15
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  - task:
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  type: Summarization
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  dataset:
@@ -91,7 +91,7 @@ model-index:
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  metrics:
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  - name: rougeL fmeasure
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  type: Lighteval
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- value: 0.25
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  ---
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  # This model was built to shorten text to be injected into LLM prompts to reduce API calling costs
 
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  metrics:
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  - name: f1 Score
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  type: f1 Score
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+ value: 0.308
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  - task:
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  type: Summarization
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  dataset:
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  name: shorecode/summary-collection-60k-rows
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  type: shorecode/summary-collection-60k-rows
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  metrics:
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+ - name: Faithfullness (facebook/bart-large-cnn)
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  type: facebook/bart-large-cnn
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+ value: 2.91
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  - task:
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  type: Summarization
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  dataset:
 
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  metrics:
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  - name: rougeL precision
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  type: Lighteval
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+ value: 0.56
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  - task:
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  type: Summarization
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  dataset:
 
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  metrics:
83
  - name: rougeL recall
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  type: Lighteval
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+ value: 0.12
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  - task:
87
  type: Summarization
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  dataset:
 
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  metrics:
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  - name: rougeL fmeasure
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  type: Lighteval
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+ value: 0.19
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  ---
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  # This model was built to shorten text to be injected into LLM prompts to reduce API calling costs