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jinaai
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jina-embedding-s-en-v1

Sentence Similarity
sentence-transformers
PyTorch
English
t5
finetuner
mteb
feature-extraction
custom_code
Eval Results
Inference Endpoints
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@@ -57,7 +57,7 @@ We compared the model against `all-minilm-l6-v2`/`all-mpnet-base-v2` from sbert
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  |Name|STS12|STS13|STS14|STS15|STS16|STS17|TRECOVID|Quora|SciFact|
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  |------------------------------|-----|-----|-----|-----|-----|-----|--------|-----|-----|
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  |all-minilm-l6-v2|0.724|0.806|0.756|0.854|0.79 |0.876|0.473 |**0.876**|0.645 |
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- |all-mpnet--base-v2|0.726|**0.835**|**0.78** |0.857|0.8 |**0.906**|0.513 |0.875|0.656 |
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  |ada-embedding-002|0.698|0.833|0.761|**0.861**|**0.86** |0.903|**0.685** |**0.876**|**0.726** |
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  |jina-embedding-s-en-v1|**0.738**|0.781|0.732|0.833|0.785|0.859|0.471 |0.852|0.567 |
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  |jina-embedding-b-en-v1|0.736|0.804|0.745|0.844|0.793|0.873|0.481 |0.87|0.616 |
 
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  |Name|STS12|STS13|STS14|STS15|STS16|STS17|TRECOVID|Quora|SciFact|
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  |------------------------------|-----|-----|-----|-----|-----|-----|--------|-----|-----|
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  |all-minilm-l6-v2|0.724|0.806|0.756|0.854|0.79 |0.876|0.473 |**0.876**|0.645 |
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+ |all-mpnet-base-v2|0.726|**0.835**|**0.78** |0.857|0.8 |**0.906**|0.513 |0.875|0.656 |
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  |ada-embedding-002|0.698|0.833|0.761|**0.861**|**0.86** |0.903|**0.685** |**0.876**|**0.726** |
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  |jina-embedding-s-en-v1|**0.738**|0.781|0.732|0.833|0.785|0.859|0.471 |0.852|0.567 |
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  |jina-embedding-b-en-v1|0.736|0.804|0.745|0.844|0.793|0.873|0.481 |0.87|0.616 |