Omartificial-Intelligence-Space
/

Semantic-Ar-Qwen-Embed-0.6B

Sentence Similarity

sentence-transformers

feature-extraction

Generated from Trainer

loss:MatryoshkaLoss

loss:MultipleNegativesRankingLoss

Model card Files Files and versions

Omartificial-Intelligence-Space commited on Jun 6

Commit

3ff37db

·

verified ·

1 Parent(s): 4dd42d8

Update README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -72,7 +72,7 @@ This model has been evaluated on Arabic semantic similarity benchmarks using the
 |----------------------------------|----------------------|--------------------------|
 | Qwen3 Embeddings 0.6B            | 0.7505               | 0.6520                   |
 | Qwen3 Embeddings 4B              | 0.7912               | **0.6669**               |
-| Semantic-Ar-Qwen-Embed-V0.1 🏆   | **0.8300**           | 0.6130                   |
 > ✅ **STS17**: Classic sentence similarity
 > 🧪 **STS22.v2**: Diverse and challenging sentence pairs
@@ -107,7 +107,7 @@ Then you can load this model and run inference.
 from sentence_transformers import SentenceTransformer
 # Load model from Hugging Face Hub
-model = SentenceTransformer("Omartificial-Intelligence-Space/Semantic-Ar-Qwen-Embed-V0.1")
 # Sentences for embedding (English + Arabic)
 sentences = [

 |----------------------------------|----------------------|--------------------------|
 | Qwen3 Embeddings 0.6B            | 0.7505               | 0.6520                   |
 | Qwen3 Embeddings 4B              | 0.7912               | **0.6669**               |
+| Semantic-Ar-Qwen-Embed-0.6B🏆   | **0.8300**           | 0.6130                   |
 > ✅ **STS17**: Classic sentence similarity
 > 🧪 **STS22.v2**: Diverse and challenging sentence pairs
 from sentence_transformers import SentenceTransformer
 # Load model from Hugging Face Hub
+model = SentenceTransformer("Omartificial-Intelligence-Space/Semantic-Ar-Qwen-Embed-0.6B")
 # Sentences for embedding (English + Arabic)
 sentences = [