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model update

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  1. README.md +17 -17
README.md CHANGED
@@ -14,7 +14,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8933928571428571
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  - task:
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  name: Analogy Questions (SAT full)
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  type: multiple-choice-qa
@@ -91,10 +91,10 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: None
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  - name: F1 (macro)
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  type: f1_macro
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- value: None
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  - task:
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  name: Lexical Relation Classification (CogALexV)
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  type: classification
@@ -105,10 +105,10 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: None
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  - name: F1 (macro)
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  type: f1_macro
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- value: None
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  - task:
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  name: Lexical Relation Classification (EVALution)
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  type: classification
@@ -119,10 +119,10 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: None
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  - name: F1 (macro)
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  type: f1_macro
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- value: None
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  - task:
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  name: Lexical Relation Classification (K&H+N)
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  type: classification
@@ -133,10 +133,10 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: None
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  - name: F1 (macro)
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  type: f1_macro
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- value: None
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  - task:
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  name: Lexical Relation Classification (ROOT09)
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  type: classification
@@ -147,10 +147,10 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: None
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  - name: F1 (macro)
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  type: f1_macro
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- value: None
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  ---
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  # relbert/roberta-large-semeval2012-average-prompt-d-nce
@@ -167,13 +167,13 @@ It achieves the following results on the relation understanding tasks:
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  - Accuracy on U4: 0.6597222222222222
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  - Accuracy on Google: 0.958
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  - Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/roberta-large-semeval2012-average-prompt-d-nce/raw/main/classification.json)):
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- - Micro F1 score on BLESS: None
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- - Micro F1 score on CogALexV: None
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- - Micro F1 score on EVALution: None
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- - Micro F1 score on K&H+N: None
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- - Micro F1 score on ROOT09: None
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  - Relation Mapping ([dataset](https://huggingface.co/datasets/relbert/relation_mapping), [full result](https://huggingface.co/relbert/roberta-large-semeval2012-average-prompt-d-nce/raw/main/relation_mapping.json)):
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- - Accuracy on Relation Mapping: 0.8933928571428571
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  ### Usage
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8137698412698413
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  - task:
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  name: Analogy Questions (SAT full)
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  type: multiple-choice-qa
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.9187886093114359
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  - name: F1 (macro)
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  type: f1_macro
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+ value: 0.9155322599832632
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  - task:
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  name: Lexical Relation Classification (CogALexV)
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  type: classification
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.865962441314554
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  - name: F1 (macro)
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  type: f1_macro
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+ value: 0.7168264001292298
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  - task:
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  name: Lexical Relation Classification (EVALution)
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  type: classification
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.6879739978331527
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  - name: F1 (macro)
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  type: f1_macro
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+ value: 0.6688500009556503
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  - task:
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  name: Lexical Relation Classification (K&H+N)
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  type: classification
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.955762676497183
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  - name: F1 (macro)
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  type: f1_macro
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+ value: 0.8742975353162309
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  - task:
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  name: Lexical Relation Classification (ROOT09)
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  type: classification
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.9169539329363836
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  - name: F1 (macro)
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  type: f1_macro
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+ value: 0.9152963472472981
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  ---
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  # relbert/roberta-large-semeval2012-average-prompt-d-nce
 
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  - Accuracy on U4: 0.6597222222222222
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  - Accuracy on Google: 0.958
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  - Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/roberta-large-semeval2012-average-prompt-d-nce/raw/main/classification.json)):
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+ - Micro F1 score on BLESS: 0.9187886093114359
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+ - Micro F1 score on CogALexV: 0.865962441314554
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+ - Micro F1 score on EVALution: 0.6879739978331527
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+ - Micro F1 score on K&H+N: 0.955762676497183
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+ - Micro F1 score on ROOT09: 0.9169539329363836
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  - Relation Mapping ([dataset](https://huggingface.co/datasets/relbert/relation_mapping), [full result](https://huggingface.co/relbert/roberta-large-semeval2012-average-prompt-d-nce/raw/main/relation_mapping.json)):
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+ - Accuracy on Relation Mapping: 0.8137698412698413
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  ### Usage