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@@ -8,39 +8,32 @@ library_name: transformers
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  license: unlicense
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  pipeline_tag: text-generation
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  model-index:
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- - name: JudgeLLM
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- results: []
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- tags:
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- - text-generation-inference
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- - question-answering
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- ---
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- model-index:
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- - name: Wonder-Griffin/JudgeLLM
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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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- modality: nlp
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- subtasks:
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- - type: acceptability-classification
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- name: Acceptability Classification
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- - type: sentiment-analysis
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- name: Sentiment Analysis
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.95
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- - task:
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- type: summarization
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- name: Summarization
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- modality: nlp
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- metrics:
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- - name: Rouge-L
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- type: rouge
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- value: 0.8
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  inference:
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  parameters:
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- aggregation_strategy: "simple"
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  top_k: 10
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  top_p: 0.9
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  temperature: 0.7
@@ -49,21 +42,28 @@ inference:
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  guidance_scale: 7.5
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  num_inference_steps: 50
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  example_inputs:
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- - text: "Sample input text for text classification"
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- table:
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- headers: ["Column 1", "Column 2"]
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- rows:
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- - ["Data 1", "Data 2"]
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- src: "path/to/asset"
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- prompt: "Generate an image with the following prompt..."
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- candidate_labels: ["positive", "negative"]
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- multi_class: true
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- messages:
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- - role: user
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- content: "What is the weather like today?"
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- - role: assistant
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- content: "The weather is sunny with a chance of rain."
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- ---
 
 
 
 
 
 
 
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  ---
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  # JudgeLLM
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  license: unlicense
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  pipeline_tag: text-generation
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  model-index:
11
+ - name: Wonder-Griffin/JudgeLLM
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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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+ modality: nlp
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+ subtasks:
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+ - type: acceptability-classification
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+ name: Acceptability Classification
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+ - type: sentiment-analysis
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+ name: Sentiment Analysis
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.95
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+ - task:
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+ type: summarization
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+ name: Summarization
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+ modality: nlp
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+ metrics:
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+ - name: Rouge-L
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+ type: rouge
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+ value: 0.8
 
 
 
 
 
 
 
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  inference:
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  parameters:
36
+ aggregation_strategy: simple
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  top_k: 10
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  top_p: 0.9
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  temperature: 0.7
 
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  guidance_scale: 7.5
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  num_inference_steps: 50
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  example_inputs:
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+ - text: Sample input text for text classification
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+ table:
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+ headers:
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+ - Column 1
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+ - Column 2
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+ rows:
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+ - - Data 1
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+ - Data 2
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+ src: path/to/asset
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+ prompt: Generate an image with the following prompt...
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+ candidate_labels:
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+ - positive
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+ - negative
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+ multi_class: true
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+ messages:
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+ - role: user
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+ content: What is the weather like today?
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+ - role: assistant
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+ content: The weather is sunny with a chance of rain.
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+ tags:
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+ - text-generation-inference
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+ - question-answering
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  ---
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  # JudgeLLM
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