Update README.md

README.md

@@ -29,8 +29,9 @@ All training and data preprocessing were performed on **a single GPU (46VRAM)**,
 
 ### Model Description
 - **Model Type:** Sentence Transformer
-- **Base Model:** klue/roberta-large
-- **Maximum Sequence Length:** 512 tokens
+- **Base Model:** Snowflake/snowflake-arctic-embed-l-v2.0
+- **Maximum Sequence Length:** 8192 tokens
+  > Important: The base model supports up to 8192 tokens, **but performance is only guaranteed up to 512 tokens**.
 - **Output Dimensionality:** 1024 / 512 dimensions
 - **Similarity Function:** Cosine Similarity
 - **Languages:** ko, en
@@ -66,21 +67,20 @@ One group is based on a specific sports regulation PDF, for which synthetic quer
 The final group is a concatenation of all four aforementioned groups, providing a comprehensive mixed set.<br>
 The following table presents the average retrieval performance across five dataset groups.
 
-| Models | Open/Closed | Size | Accuracy@1 | Accuracy@3 | Accuracy@5 | Accuracy@10 |
-|--------------|-----------|-----------|-----------|------------|------------|-------------|
-| frony-embed-medium | **Open** | 337M | 0.6649 | **0.8040** | 0.8458 | 0.8876 |
-| frony-embed-medium (half dim) | Open | 337M | 0.6520 | 0.7923 | 0.8361 | 0.8796 |
-| frony-embed-small | Open | 111M | 0.6152 | 0.7616 | 0.8056 | 0.8559 |
-| frony-embed-small (half dim) | Open | 111M | 0.5988 | 0.7478 | 0.7984 | 0.8461 |
-| frony-embed-tiny | Open | 21M* | 0.5084 | 0.6757 | 0.7278 | 0.7845 |
-| frony-embed-tiny (half dim) | Open | 21M* | 0.4710 | 0.6390 | 0.6933 | 0.7596 |
-| bge-m3 | **Open** | 560M | 0.5852 | **0.7763** | 0.8418 | 0.8987 |
-| multilingual-e5-large | Open | 560M | 0.5764 | 0.7630 | 0.8267 | 0.8891 |
-| snowflake-arctic-embed-l-v2.0 | Open | 568M | 0.5726 | 0.7591 | 0.8232 | 0.8917 |
-| jina-embeddings-v3 | Open | 572M | 0.5270 | 0.7246 | 0.7953 | 0.8649 |
-| upstage-large | **Closed** | - | 0.6334 | **0.8527** | 0.9065 | 0.9478 |
-| openai-text-embedding-3-large | Closed | - | 0.4907 | 0.6617 | 0.7311 | 0.8148 |
-**Transformer blocks only*
+| Architecture                                           | Open/Closed | Accuracy@1 | Accuracy@3 | Accuracy@5 | Accuracy@10 |
+|--------------------------------------------------------|-----------|-----------|-----------|-----------|------------|
+| FronyAI/frony-embed-medium-arctic-ko-v2.5              | Open   | **0.6875**    | **0.8557**    | 0.9044    | 0.9410     |
+| upstage-large                                          | Closed | 0.6323    | 0.8522    | 0.9068    | 0.9459     |
+| FronyAI/frony-embed-medium-arctic-ko-v2.5 (half dim)   | Open   | **0.6715**    | **0.8446**    | 0.8935    | 0.9364     |
+| dragonkue/snowflake-arctic-embed-l-v2.0-ko             | Open   | **0.6612**    | **0.8396**    | 0.8931    | 0.9390     |
+| FronyAI/frony-embed-medium-ko-v2                       | Open   | **0.6806**    | **0.8376**    | 0.8819    | 0.9207     |
+| FronyAI/frony-embed-medium-ko-v2 (half dim)            | Open   | 0.6723    | 0.8275    | 0.8712    | 0.9157     |
+| nlpai-lab/KURE-v1                                      | Open   | 0.6434    | 0.8240    | 0.8788    | 0.9285     |
+| BAAI/bge-m3                                            | Open   | 0.5849    | 0.7763    | 0.8420    | 0.8985     |
+| intfloat/multilingual-e5-large                         | Open   | 0.5764    | 0.7630    | 0.8267    | 0.8891     |
+| Snowflake/snowflake-arctic-embed-l-v2.0                | Open   | 0.5726    | 0.7591    | 0.8232    | 0.8917     |
+| jinaai/jina-embeddings-v3                              | Open   | 0.5270    | 0.7242    | 0.7953    | 0.8644     |
+| openai-large                                           | Closed | 0.4903    | 0.6621    | 0.7316    | 0.8149     |
 
 ## Usage