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README.md
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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
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