research-backup
/

roberta-large-semeval2012-mask-prompt-d-nce

Feature Extraction

text-embeddings-inference

Inference Endpoints

Model card Files Files and versions Community

asahi417 commited on Aug 13, 2022

Commit

c171102

•

1 Parent(s): d6e536e

model update

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -14,7 +14,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9
   - task:
       name: Analogy Questions (SAT full)
       type: multiple-choice-qa
@@ -173,7 +173,7 @@ It achieves the following results on the relation understanding tasks:
     - Micro F1 score on K&H+N: 0.9649440077902205
     - Micro F1 score on ROOT09: 0.9172673143215293
 - Relation Mapping ([dataset](https://huggingface.co/datasets/relbert/relation_mapping), [full result](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-mask-prompt-d-nce/raw/main/relation_mapping.json)):
-    - Accuracy on Relation Mapping: 0.9
 ### Usage

     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.8938888888888888
   - task:
       name: Analogy Questions (SAT full)
       type: multiple-choice-qa
     - Micro F1 score on K&H+N: 0.9649440077902205
     - Micro F1 score on ROOT09: 0.9172673143215293
 - Relation Mapping ([dataset](https://huggingface.co/datasets/relbert/relation_mapping), [full result](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-mask-prompt-d-nce/raw/main/relation_mapping.json)):
+    - Accuracy on Relation Mapping: 0.8938888888888888
 ### Usage