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Upload crossencoder model

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@@ -19,22 +19,6 @@ datasets:
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  base_model:
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  - Alibaba-NLP/gte-modernbert-base
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  pipeline_tag: text-classification
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- model-index:
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- - name: siren-screening-crossencoder
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- results:
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- - task:
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- type: text-classification
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- name: 3-Class Relevance Classification
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- dataset:
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- name: SIREN Screening (Internal)
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- type: Praise2112/siren-screening
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- metrics:
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- - type: accuracy
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- value: 0.906
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- name: Accuracy
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- - type: f1
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- value: 0.906
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- name: F1 (Macro)
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  ---
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  # SIREN Screening Cross-encoder
 
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  base_model:
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  - Alibaba-NLP/gte-modernbert-base
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  pipeline_tag: text-classification
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # SIREN Screening Cross-encoder