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roberta-large-semeval2012-average-prompt-e-nce

Feature Extraction

text-embeddings-inference

Inference Endpoints

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asahi417 commited on Aug 13, 2022

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4ef7835

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1 Parent(s): 662e287

model update

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README.md +2 -2

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@@ -14,7 +14,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9357142857142857
   - 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: 0.962092230646171
     - Micro F1 score on ROOT09: 0.898464431212786
 - Relation Mapping ([dataset](https://huggingface.co/datasets/relbert/relation_mapping), [full result](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-average-prompt-e-nce/raw/main/relation_mapping.json)):
-    - Accuracy on Relation Mapping: 0.9357142857142857
 ### Usage

     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.9348214285714286
   - task:
       name: Analogy Questions (SAT full)
       type: multiple-choice-qa
     - Micro F1 score on K&H+N: 0.962092230646171
     - Micro F1 score on ROOT09: 0.898464431212786
 - Relation Mapping ([dataset](https://huggingface.co/datasets/relbert/relation_mapping), [full result](https://huggingface.co/relbert/relbert-roberta-large-semeval2012-average-prompt-e-nce/raw/main/relation_mapping.json)):
+    - Accuracy on Relation Mapping: 0.9348214285714286
 ### Usage