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@@ -14,6 +14,31 @@ base_model: microsoft/deberta-v3-large
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  datasets:
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  - chenxwh/AVeriTeC
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
 
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  datasets:
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  - chenxwh/AVeriTeC
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  ---
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+ ---
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+ model-index:
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+ - name: deberta-v3-large-AVeriTeC-nli
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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: chenxwh/AVeriTeC
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+ metrics:
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+ - name: dev macro F1 score
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+ type: macro F1 score
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+ value: 0.71
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+ - name: dev macro recall
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+ type: macro recall
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+ value: 0.73
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+ - name: dev macro precision
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+ type: macro precision
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+ value: 0.71
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+ - name: dev accuracy
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+ type: accuracy
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+ value: 0.82
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+ source:
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+ name: Open LLM Leaderboard
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
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+ ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->