model update
Browse files
README.md
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@@ -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.
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- task:
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name: Analogy Questions (NELL-ONE Analogy)
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type: multiple-choice-qa
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@@ -198,7 +198,7 @@ This model achieves the following results on the relation understanding tasks:
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- Accuracy on U4: 0.4699074074074074
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- Accuracy on Google: 0.692
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- Accuracy on ConceptNet Analogy: 0.1535234899328859
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- Accuracy on T-Rex Analogy: 0.
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- Accuracy on NELL-ONE Analogy: 0.63
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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-nce-e-t-rex/raw/main/classification.json)):
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- Micro F1 score on BLESS: 0.8882025011300286
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7431693989071039
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- task:
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name: Analogy Questions (NELL-ONE Analogy)
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type: multiple-choice-qa
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| 198 |
- Accuracy on U4: 0.4699074074074074
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| 199 |
- Accuracy on Google: 0.692
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| 200 |
- Accuracy on ConceptNet Analogy: 0.1535234899328859
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| 201 |
+
- Accuracy on T-Rex Analogy: 0.7431693989071039
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| 202 |
- Accuracy on NELL-ONE Analogy: 0.63
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| 203 |
- Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/relbert-roberta-large-nce-e-t-rex/raw/main/classification.json)):
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| 204 |
- Micro F1 score on BLESS: 0.8882025011300286
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