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frony-embed-medium-ko-v2

Sentence Similarity
sentence-transformers
Safetensors
Korean
English
roberta
feature-extraction
text-embeddings-inference
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@@ -29,9 +29,8 @@ All training and data preprocessing were performed on **a single GPU (46VRAM)**,
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  ### Model Description
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  - **Model Type:** Sentence Transformer
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- - **Base Model:** Snowflake/snowflake-arctic-embed-l-v2.0
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- - **Maximum Sequence Length:** 8192 tokens
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- > Important: The base model supports up to 8192 tokens, **but performance is only guaranteed up to 512 tokens**.
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  - **Output Dimensionality:** 1024 / 512 dimensions
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  - **Similarity Function:** Cosine Similarity
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  - **Languages:** ko, en
@@ -69,13 +68,15 @@ The following table presents the average retrieval performance across five datas
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  | Architecture | Open/Closed | Accuracy@1 | Accuracy@3 | Accuracy@5 | Accuracy@10 |
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  |--------------------------------------------------------|-----------|-----------|-----------|-----------|------------|
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- | FronyAI/frony-embed-medium-arctic-ko-v2.5 | Open | **0.6875** | **0.8557** | 0.9044 | 0.9410 |
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  | upstage-large | Closed | 0.6323 | 0.8522 | 0.9068 | 0.9459 |
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- | FronyAI/frony-embed-medium-arctic-ko-v2.5 (half dim) | Open | **0.6715** | **0.8446** | 0.8935 | 0.9364 |
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- | dragonkue/snowflake-arctic-embed-l-v2.0-ko | Open | **0.6612** | **0.8396** | 0.8931 | 0.9390 |
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- | FronyAI/frony-embed-medium-ko-v2 | Open | **0.6806** | **0.8376** | 0.8819 | 0.9207 |
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- | FronyAI/frony-embed-medium-ko-v2 (half dim) | Open | 0.6723 | 0.8275 | 0.8712 | 0.9157 |
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  | nlpai-lab/KURE-v1 | Open | 0.6434 | 0.8240 | 0.8788 | 0.9285 |
 
 
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  | BAAI/bge-m3 | Open | 0.5849 | 0.7763 | 0.8420 | 0.8985 |
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  | intfloat/multilingual-e5-large | Open | 0.5764 | 0.7630 | 0.8267 | 0.8891 |
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  | Snowflake/snowflake-arctic-embed-l-v2.0 | Open | 0.5726 | 0.7591 | 0.8232 | 0.8917 |
 
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  ### Model Description
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  - **Model Type:** Sentence Transformer
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+ - **Base Model:** klue/roberta-large
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+ - **Maximum Sequence Length:** 512 tokens
 
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  - **Output Dimensionality:** 1024 / 512 dimensions
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  - **Similarity Function:** Cosine Similarity
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  - **Languages:** ko, en
 
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  | Architecture | Open/Closed | Accuracy@1 | Accuracy@3 | Accuracy@5 | Accuracy@10 |
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  |--------------------------------------------------------|-----------|-----------|-----------|-----------|------------|
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+ | FronyAI/frony-embed-medium-arctic-ko-v2.5 | Open | 0.6875 | 0.8557 | 0.9044 | 0.9410 |
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  | upstage-large | Closed | 0.6323 | 0.8522 | 0.9068 | 0.9459 |
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+ | FronyAI/frony-embed-medium-arctic-ko-v2.5 (half dim) | Open | 0.6715 | 0.8446 | 0.8935 | 0.9364 |
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+ | dragonkue/snowflake-arctic-embed-l-v2.0-ko | Open | 0.6612 | 0.8396 | 0.8931 | 0.9390 |
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+ | **FronyAI/frony-embed-medium-ko-v2** | Open | **0.6806** | **0.8376** | 0.8819 | 0.9207 |
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+ | **FronyAI/frony-embed-medium-ko-v2 (half dim)** | Open | **0.6723** | **0.8275** | 0.8712 | 0.9157 |
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  | nlpai-lab/KURE-v1 | Open | 0.6434 | 0.8240 | 0.8788 | 0.9285 |
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+ | FronyAI/frony-embed-medium-ko-v1 | Open | 0.6649 | 0.8040 | 0.8458 | 0.8876 |
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+ | FronyAI/frony-embed-medium-ko-v1 (half dim) | Open | 0.6520 | 0.7923 | 0.8361 | 0.8796 |
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  | BAAI/bge-m3 | Open | 0.5849 | 0.7763 | 0.8420 | 0.8985 |
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  | intfloat/multilingual-e5-large | Open | 0.5764 | 0.7630 | 0.8267 | 0.8891 |
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  | Snowflake/snowflake-arctic-embed-l-v2.0 | Open | 0.5726 | 0.7591 | 0.8232 | 0.8917 |