Update README.md

README.md

@@ -35,12 +35,12 @@ base_model:
 - PartAI/TookaBERT-Base
 ---
 
-# TookaSBERT-Base1
+# Tooka-SBERT-V2-Small
 
 
 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.
 
-The model is trained in two sizes: **Base** and **Large**
+The model is trained in two sizes: **Small** and **Large**
 
 ## Usage
 
@@ -57,7 +57,7 @@ Then you can load this model and run inference.
 from sentence_transformers import SentenceTransformer
 
 # Download from the 🤗 Hub
-model = SentenceTransformer("PartAI/TookaSBERT-Base1")
+model = SentenceTransformer("PartAI/Tooka-SBERT-V2-Small")
 # Run inference
 sentences = [
     'درنا از پرندگان مهاجر با پاهای بلند و گردن دراز است.',
@@ -102,14 +102,13 @@ For *Retrieval* and *Reranking* tasks, we follow the same asymmetric structure,
 - `"متن: "` to documents
 
 
-| Model                                                                          | #Params | Pair-Classification-Avg | Classification-Avg | Retrieval-Avg | Reranking-Avg | Tasks-Avg |
-|--------------------------------------------------------------------------------|:-------:|-------------------------|--------------------|---------------|---------------|-----------|
-| [multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base)   |  278M   | 70.76                   | 69.71              | 63.90         | 76.01         | 70.09     |
-| [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) |  560M   | 72.55                   | 72.18              | **65.36**     | **78.52**     | **72.15** |
-| [jina-embeddings-v3](https://huggingface.co/jinaai/jina-embeddings-v3)         |  572M   | 71.88                   | **79.27**          | 65.18         | 64.62         | 70.24     |
-| tooka-sbert-large-v1                                                           |  353M   | **81.52**               | 71.54              | 45.61         | 60.44         | 64.78     |
-| tooka-sbert-base-v2                                                            |  123M   | 75.69                   | 72.16              | 61.24         | 73.40         | 70.62     |
-| tooka-sbert-large-v2                                                           |  353M   | 80.24                   | 74.73              | 59.80         | 73.44         | 72.05     |
+| Model                                                                          | #Params | Pair-Classification-Avg | Classification-Avg | Retrieval-Avg | Reranking-Avg | CrossTasks-Avg |
+|--------------------------------------------------------------------------------|:-------:|-------------------------|--------------------|---------------|---------------|----------------|
+| [Tooka-SBERT-V2-Large](https://huggingface.co/PartAI/Tooka-SBERT-V2-Large)     |  353M   | 80.24                   | 74.73              | 59.80         | 73.44         | **72.05**      |
+| [Tooka-SBERT-V2-Small](https://huggingface.co/PartAI/Tooka-SBERT-V2-Small)     |  123M   | 75.69                   | 72.16              | 61.24         | 73.40         | 70.62          |
+| [jina-embeddings-v3](https://huggingface.co/jinaai/jina-embeddings-v3)         |  572M   | 71.88                   | **79.27**          | **65.18**     | 64.62         | 70.24          |
+| [multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base)   |  278M   | 70.76                   | 69.71              | 63.90         | **76.01**     | 70.09          |
+| [Tooka-SBERT-V1-Large](https://huggingface.co/PartAI/Tooka-SBERT)              |  353M   | **81.52**               | 71.54              | 45.61         | 60.44         | 64.78          |
 
 
 ### Task-Specific Datasets in PTEB