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@@ -35,7 +35,7 @@ base_model:
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  - PartAI/TookaBERT-Large
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- # TookaSBERT-Large
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  This model is a Sentence Transformers model trained for semantic textual similarity and embedding tasks. It maps sentences and paragraphs to a dense vector space, where semantically similar texts are close together.
@@ -107,8 +107,7 @@ For *Retrieval* and *Reranking* tasks, we follow the same asymmetric structure,
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  | [multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) | 278M | 70.76 | 69.71 | 63.90 | **76.01** | 70.09 |
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  | [jina-embeddings-v3](https://huggingface.co/jinaai/jina-embeddings-v3) | 572M | 71.88 | **79.27** | **65.18** | 64.62 | 70.24 |
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  | [Tooka-SBERT-V1-Large](https://huggingface.co/PartAI/Tooka-SBERT) | 353M | **81.52** | 71.54 | 45.61 | 60.44 | 64.78 |
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- <hr style="border:2px solid gray">
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- | [tooka-sbert-base-v2](https://huggingface.co/PartAI/Tooka-SBERT-V2-Small) | 123M | 75.69 | 72.16 | 61.24 | 73.40 | 70.62 |
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  | [Tooka-SBERT-V2-Large](https://huggingface.co/PartAI/Tooka-SBERT-V2-Large) | 353M | 80.24 | 74.73 | 59.80 | 73.44 | **72.05** |
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  - PartAI/TookaBERT-Large
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+ # Tooka-SBERT-V2-Large
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  This model is a Sentence Transformers model trained for semantic textual similarity and embedding tasks. It maps sentences and paragraphs to a dense vector space, where semantically similar texts are close together.
 
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  | [multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) | 278M | 70.76 | 69.71 | 63.90 | **76.01** | 70.09 |
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  | [jina-embeddings-v3](https://huggingface.co/jinaai/jina-embeddings-v3) | 572M | 71.88 | **79.27** | **65.18** | 64.62 | 70.24 |
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  | [Tooka-SBERT-V1-Large](https://huggingface.co/PartAI/Tooka-SBERT) | 353M | **81.52** | 71.54 | 45.61 | 60.44 | 64.78 |
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+ | [Tooka-SBERT-V2-Small](https://huggingface.co/PartAI/Tooka-SBERT-V2-Small) | 123M | 75.69 | 72.16 | 61.24 | 73.40 | 70.62 |
 
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  | [Tooka-SBERT-V2-Large](https://huggingface.co/PartAI/Tooka-SBERT-V2-Large) | 353M | 80.24 | 74.73 | 59.80 | 73.44 | **72.05** |
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