shibing624/text2vec-base-multilingual
shibing624/text2vec-base-multilingual This is a CoSENT(Cosine Sentence) model: shibing624/text2vec-base-multilingual.
pip install mlforge-sdk && mlforge pull shibing624/text2vec-base-multilingual
Model details
About shibing624/text2vec-base-multilingual
--- pipelinetag: sentence-similarity license: apache-2.0 libraryname: sentence-transformers tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers - text2vec - mteb datasets: - shibing624/nli-zh-all language: - zh - en - de - fr - it - nl - pt - pl - ru metrics: - spearmanr model-index: - name: text2vec-base-multilingual results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 70.97014925373134 - type: ap value: 33.95151328318672 - type: f1 value: 65.14740155705596 - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (de) config: de split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 68.69379014989293 - type: ap value: 79.68277579733802 - type: f1 value: 66.54960052336921 - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en-ext) config: en-ext split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 70.90704647676162 - type: ap value: 20.747518928580437 - type: f1 value: 58.64365465884924 - task: type: Classification d