Safetensors
Eval Results (legacy)
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@@ -5,6 +5,45 @@ language:
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  - ja
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  - de
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  - zh
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Model Card for Socrates-embedding
 
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  - ja
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  - de
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  - zh
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+ model-index:
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+ - name: Socrates-embedding
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+ results:
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+ - task:
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+ type: classification
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+ name: Multilingual Classification
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+ dataset:
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+ name: AmazonCounterfactualClassification
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+ type: mteb/amazon_counterfactual
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+ metrics:
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+ - name: Accuracy (Japanese)
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+ type: accuracy
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+ value: 54.83
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+ - name: Accuracy (German)
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+ type: accuracy
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+ value: 52.57
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+ - name: Accuracy (English)
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+ type: accuracy
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+ value: 49.70
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+ - name: Accuracy (English-Ext)
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+ type: accuracy
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+ value: 49.15
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+ - task:
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+ type: clustering
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+ name: Clustering
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+ dataset:
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+ name: StackExchangeClustering
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+ type: mteb/stackexchange_clustering
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+ metrics:
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+ - name: V-measure x 100
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+ type: v_measure
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+ value: 8.92
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+ co2_footprint:
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+ emissions: 0.17 # in KgCO2eq
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+ source: "Estimated based on 1.2 hours of training on a single NVIDIA RTX 6000 (TDP ~300W)."
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+ training_type: "from_scratch"
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+ geographical_location: "Zaozhuang, China"
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+ hardware_used: "1 x NVIDIA RTX 6000"
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+ training_duration: 1.2 # in hours
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  ---
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  # Model Card for Socrates-embedding