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model update

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  1. README.md +2 -2
README.md CHANGED
@@ -14,7 +14,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.9571428571428572
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  - task:
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  name: Analogy Questions (SAT full)
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  type: multiple-choice-qa
@@ -173,7 +173,7 @@ It achieves the following results on the relation understanding tasks:
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  - Micro F1 score on K&H+N: 0.9627877860471586
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  - Micro F1 score on ROOT09: 0.9053588216859918
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  - Relation Mapping ([dataset](https://huggingface.co/datasets/relbert/relation_mapping), [full result](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-average-no-mask-prompt-e-nce/raw/main/relation_mapping.json)):
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- - Accuracy on Relation Mapping: 0.9571428571428572
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  ### Usage
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9508333333333333
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  - task:
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  name: Analogy Questions (SAT full)
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  type: multiple-choice-qa
 
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  - Micro F1 score on K&H+N: 0.9627877860471586
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  - Micro F1 score on ROOT09: 0.9053588216859918
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  - Relation Mapping ([dataset](https://huggingface.co/datasets/relbert/relation_mapping), [full result](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-average-no-mask-prompt-e-nce/raw/main/relation_mapping.json)):
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+ - Accuracy on Relation Mapping: 0.9508333333333333
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  ### Usage