asahi417 commited on
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model update

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  1. README.md +2 -2
README.md CHANGED
@@ -102,7 +102,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.45901639344262296
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  - task:
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  name: Analogy Questions (NELL-ONE Analogy)
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  type: multiple-choice-qa
@@ -198,7 +198,7 @@ This model achieves the following results on the relation understanding tasks:
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  - Accuracy on U4: 0.6643518518518519
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  - Accuracy on Google: 0.92
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  - Accuracy on ConceptNet Analogy: 0.3196308724832215
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- - Accuracy on T-Rex Analogy: 0.45901639344262296
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  - Accuracy on NELL-ONE Analogy: 0.6233333333333333
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  - Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/relbert-roberta-large-triplet-c-semeval2012/raw/main/classification.json)):
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  - Micro F1 score on BLESS: 0.9025161970769926
 
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  metrics:
103
  - name: Accuracy
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  type: accuracy
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+ value: 0.4371584699453552
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  - task:
107
  name: Analogy Questions (NELL-ONE Analogy)
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  type: multiple-choice-qa
 
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  - Accuracy on U4: 0.6643518518518519
199
  - Accuracy on Google: 0.92
200
  - Accuracy on ConceptNet Analogy: 0.3196308724832215
201
+ - Accuracy on T-Rex Analogy: 0.4371584699453552
202
  - Accuracy on NELL-ONE Analogy: 0.6233333333333333
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  - Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/relbert-roberta-large-triplet-c-semeval2012/raw/main/classification.json)):
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  - Micro F1 score on BLESS: 0.9025161970769926