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relbert-roberta-large-nce-e-conceptnet

Feature Extraction

Eval Results (legacy)

text-embeddings-inference

Model card Files Files and versions

asahi417 commited on Feb 11, 2023

Commit

3da7c6e

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1 Parent(s): 846dbae

model update

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README.md +2 -2

README.md CHANGED Viewed

@@ -102,7 +102,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5901639344262295
   - task:
       name: Analogy Questions (NELL-ONE Analogy)
       type: multiple-choice-qa
@@ -198,7 +198,7 @@ This model achieves the following results on the relation understanding tasks:
     - Accuracy on U4: 0.5069444444444444
     - Accuracy on Google: 0.776
     - Accuracy on ConceptNet Analogy: 0.3062080536912752
-    - Accuracy on T-Rex Analogy: 0.5901639344262295
     - Accuracy on NELL-ONE Analogy: 0.5983333333333334
 - Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/relbert-roberta-large-nce-e-conceptnet/raw/main/classification.json)):
     - Micro F1 score on BLESS: 0.9044749133644719

     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.6065573770491803
   - task:
       name: Analogy Questions (NELL-ONE Analogy)
       type: multiple-choice-qa
     - Accuracy on U4: 0.5069444444444444
     - Accuracy on Google: 0.776
     - Accuracy on ConceptNet Analogy: 0.3062080536912752
+    - Accuracy on T-Rex Analogy: 0.6065573770491803
     - Accuracy on NELL-ONE Analogy: 0.5983333333333334
 - Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/relbert-roberta-large-nce-e-conceptnet/raw/main/classification.json)):
     - Micro F1 score on BLESS: 0.9044749133644719