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jinaai
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jina-embedding-b-en-v1

Sentence Similarity
sentence-transformers
PyTorch
English
t5
finetuner
feature-extraction
mteb
custom_code
Eval Results
Inference Endpoints
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@@ -60,8 +60,8 @@ We compared the model against `all-minilm-l6-v2`/`all-mpnet-base-v2` from sbert
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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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  |jina-embedding-l-en-v1|0.736|0.832|0.762|0.846|0.805|0.885|0.477 |**0.876**|0.65 |
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  For more tasks and metrics, please checkout [MTEB](https://huggingface.co/spaces/mteb/leaderboard) benchmark.
 
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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|**0.74**|0.792|0.752|0.851|0.801|0.88|0.505 |0.871|0.64 |
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  |jina-embedding-l-en-v1|0.736|0.832|0.762|0.846|0.805|0.885|0.477 |**0.876**|0.65 |
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  For more tasks and metrics, please checkout [MTEB](https://huggingface.co/spaces/mteb/leaderboard) benchmark.