Instructions to use leafxyz/main_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use leafxyz/main_v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("leafxyz/main_v1") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
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language:
- ar
tags:
- dense-retrieval
- bi-encoder
- sentence-transformers
metrics:
- loss
---
# Bi-Encoder Retrieval Model (`leafxyz/main`)
## 📊 Complete Training Artifacts & Logs
- **Architecture**: Bi-Encoder (Dense Vector Retrieval)
- **Loss Function**: `MultipleNegativesRankingLoss`
- **Training Step**: `500`
- **Training Loss**: `0.177432`
- **Positives Loss**: `0.111283`
- **Pairs with Negatives Loss**: `0.330405`
## 🗂️ Dataset Splits & Mixture
Data splits (Train/Validation/Test) are stored at:
👉 [leafxyz/arabic-retrieval-mixture-v2](https://huggingface.co/datasets/leafxyz/arabic-retrieval-mixture-v2)
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