research-backup
/

relbert-roberta-large-triplet-a-semeval2012

Feature Extraction

text-embeddings-inference

Inference Endpoints

Model card Files Files and versions Community

asahi417 commited on Feb 10, 2023

Commit

7fc1979

•

1 Parent(s): 5e87007

model update

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -102,7 +102,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5191256830601093
   - 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: 0.6111111111111112
     - Accuracy on Google: 0.908
     - Accuracy on ConceptNet Analogy: 0.2986577181208054
-    - Accuracy on T-Rex Analogy: 0.5191256830601093
     - Accuracy on NELL-ONE Analogy: 0.5916666666666667
 - Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/relbert-roberta-large-triplet-a-semeval2012/raw/main/classification.json)):
     - Micro F1 score on BLESS: 0.9059816182009944

     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.5027322404371585
   - task:
       name: Analogy Questions (NELL-ONE Analogy)
       type: multiple-choice-qa
     - Accuracy on U4: 0.6111111111111112
     - Accuracy on Google: 0.908
     - Accuracy on ConceptNet Analogy: 0.2986577181208054
+    - Accuracy on T-Rex Analogy: 0.5027322404371585
     - Accuracy on NELL-ONE Analogy: 0.5916666666666667
 - Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/relbert-roberta-large-triplet-a-semeval2012/raw/main/classification.json)):
     - Micro F1 score on BLESS: 0.9059816182009944