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README.md
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language:
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- tr
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license: apache-2.0
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library_name: transformers
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tags:
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- sentence-embeddings
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- sentence-similarity
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- turkish
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- contrastive-learning
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pipeline_tag: sentence-similarity
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---
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# Turkish Sentence Encoder
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| Metric | Score |
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|--------|-------|
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| Spearman Correlation | 0.
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| Pearson Correlation | 0.
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| Paraphrase Accuracy | 0.
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| MRR | 0.
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| Recall@1 | 0.
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| Recall@5 |
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## Training Details
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language:
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- tr
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license: apache-2.0
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library_name: sentence-transformers
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tags:
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- sentence-embeddings
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- sentence-similarity
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- sentence-transformers
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- feature-extraction
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- turkish
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- contrastive-learning
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- mteb
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pipeline_tag: sentence-similarity
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model-index:
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- name: turkish-sentence-encoder
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results:
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- task:
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type: Classification
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dataset:
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name: MTEB MassiveIntentClassification (tr)
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type: mteb/amazon_massive_intent
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config: tr
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split: test
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metrics:
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- type: accuracy
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value: 0.0
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- task:
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type: Classification
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dataset:
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name: MTEB MassiveScenarioClassification (tr)
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type: mteb/amazon_massive_scenario
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config: tr
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split: test
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metrics:
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- type: accuracy
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value: 0.0
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- task:
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type: STS
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dataset:
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name: MTEB STS22 (tr)
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type: mteb/sts22-crosslingual-sts
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config: tr
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split: test
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metrics:
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- type: cosine_spearman
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value: 0.0
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---
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# Turkish Sentence Encoder
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| Metric | Score |
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|--------|-------|
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| Spearman Correlation | 0.7315 |
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| Pearson Correlation | 0.8593 |
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| Paraphrase Accuracy | 0.9695 |
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| MRR | 0.9172 |
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| Recall@1 | 0.87 |
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| Recall@5 | 0.97 |
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## Training Details
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