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relbert-roberta-large-triplet-e-semeval2012

Feature Extraction

Inference Endpoints

text-embeddings-inference

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asahi417 commited on Feb 10, 2023

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1 Parent(s): 7510418

model update

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README.md +2 -2

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@@ -102,7 +102,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5683060109289617
   - 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: 0.5949074074074074
     - Accuracy on Google: 0.902
     - Accuracy on ConceptNet Analogy: 0.3145973154362416
-    - Accuracy on T-Rex Analogy: 0.5683060109289617
     - Accuracy on NELL-ONE Analogy: 0.61
 - Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/relbert-roberta-large-triplet-e-semeval2012/raw/main/classification.json)):
     - Micro F1 score on BLESS: 0.9026668675606448

     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.5409836065573771
   - task:
       name: Analogy Questions (NELL-ONE Analogy)
       type: multiple-choice-qa
     - Accuracy on U4: 0.5949074074074074
     - Accuracy on Google: 0.902
     - Accuracy on ConceptNet Analogy: 0.3145973154362416
+    - Accuracy on T-Rex Analogy: 0.5409836065573771
     - Accuracy on NELL-ONE Analogy: 0.61
 - Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/relbert-roberta-large-triplet-e-semeval2012/raw/main/classification.json)):
     - Micro F1 score on BLESS: 0.9026668675606448