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---
tags:
- sentence-transformers
- cross-encoder
- reranker
- generated_from_trainer
- dataset_size:32540
- loss:BinaryCrossEntropyLoss
base_model: BAAI/bge-reranker-v2-m3
pipeline_tag: text-ranking
library_name: sentence-transformers
---

# CrossEncoder based on BAAI/bge-reranker-v2-m3

This is a [Cross Encoder](https://www.sbert.net/docs/cross_encoder/usage/usage.html) model finetuned from [BAAI/bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3) using the [sentence-transformers](https://www.SBERT.net) library. It computes scores for pairs of texts, which can be used for text reranking and semantic search.

## Model Details

### Model Description
- **Model Type:** Cross Encoder
- **Base model:** [BAAI/bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3) <!-- at revision 953dc6f6f85a1b2dbfca4c34a2796e7dde08d41e -->
- **Maximum Sequence Length:** 8192 tokens
- **Number of Output Labels:** 1 label
<!-- - **Training Dataset:** Unknown -->
<!-- - **Language:** Unknown -->
<!-- - **License:** Unknown -->

### Model Sources

- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
- **Documentation:** [Cross Encoder Documentation](https://www.sbert.net/docs/cross_encoder/usage/usage.html)
- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
- **Hugging Face:** [Cross Encoders on Hugging Face](https://huggingface.co/models?library=sentence-transformers&other=cross-encoder)

## Usage

### Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

```bash
pip install -U sentence-transformers
```

Then you can load this model and run inference.
```python
from sentence_transformers import CrossEncoder

# Download from the ๐Ÿค— Hub
model = CrossEncoder("guyhadad01/cross_v2")
# Get scores for pairs of texts
pairs = [
    ['query: ืžื” ืกื›ื•ื ื”ื”ื›ื ืกื” ื”ื ืžื•ืš ืฉื‘ื’ื™ื ื• ืืคืฉืจ ืœืงื‘ืœ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”', 'passage: ืžื“ืจื™ืš ืœืงื‘ืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื’ื•ื‘ื” ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ืกื›ื•ืžื™ื ืฉืœื ื ืœืงื—ื™ื ื‘ื—ืฉื‘ื•ืŸ ืœืฆื•ืจืš ื—ื™ืฉื•ื‘ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืขืœ ืžื‘ืงืฉ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืœื“ื•ื•ื— ืขืœ ื”ื›ื ืกื•ืชื™ื• ื›ื“ื™ ืœื‘ื“ื•ืง ื–ื›ืื•ืช ืœืงื‘ืœื” ื•ืœื—ืฉื‘ ืืช ืฉื•ื•ื™ื”. ืขื ื–ืืช, ื”ื”ื›ื ืกื•ืช ื”ื‘ืื•ืช ืœื ื ื›ืœืœื•ืช ื‘ื—ื™ืฉื•ื‘ ื–ื”: ืงืฆื‘ืช ื™ืœื“ื™ื ื’ืžืœืช ื™ืœื“ ื ื›ื” ืงืฆื‘ืช ืฉื™ืจื•ืชื™ื ืžื™ื•ื—ื“ื™ื ื’ืžืœืช ื ื™ื™ื“ื•ืช ื’ืžืœืช ืกื™ืขื•ื“ ื“ืžื™ ืžื—ื™ื” ืœืืœืžื ื” ื•ืœื™ืชื•ื ืงืฆื‘ืื•ืช ืžื™ื•ื—ื“ื•ืช ืœื ื›ื™ ืขื‘ื•ื“ื” ืงืฆื‘ื” ืื• ื”ื˜ื‘ื” ื”ืžืฉื•ืœืžืช ืœื ื–ืงืงื™ื ืขืœ ืคื™ ื—ื•ืง ืฉื™ืจื•ืชื™ ื”ืกืขื“ ืชืฉืœื•ืžื™ื ืฉื”ืงื•ื ื’ืจืก ื”ื™ื”ื•ื“ื™ ื”ืขื•ืœืžื™ ืžืฉืœื ืœื—ืกื™ื“ื™ ืื•ืžื•ืช ื”ืขื•ืœื ืชืžื™ื›ื” ื›ืกืคื™ืช ื”ื ื™ืชื ืช ื›ืกื™ื•ืข ื‘ืชืฉืœื•ื ืฉื›ืจ ื“ื™ืจื” ืœืžื™ ืฉืžืฉื›ื™ืจ ืืช ื“ื™ืจืชื• ื•ืฉื•ื›ืจ ื“ื™ืจื” ืื—ืจืช ืœืžื’ื•ืจื™ื•, ืœื ืชื™ืœืงื— ื‘ื—ืฉื‘ื•ืŸ ื”ื”ื›ื ืกื” ืžื”ืฉื›ืจืช ื“ื™ืจืชื• ืฉืื™ื ื” ืขื•ืœื” ืขืœ ืกื›ื•ื ื“ืžื™ ื”ืฉื›ื™ืจื•ืช ืฉื”ื•ื ืžืฉืœื (ื”ื—ืœ ืžื”-01.01.2019) ืชืฉืœื•ืžื™ ืžื–ื•ื ื•ืช ืœืื™ืฉื” ืื• ืœื™ืœื“ื™ื, ื›ืœ ืขื•ื“ ื”ื ืœื ืขื•ืœื™ื ืขืœ ืกื›ื•ื ืงืฆื‘ืช ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื”ืžื’ื™ืขื” ืœื•. ืื ืื“ื ื ืชืžืš ื›ืกืคื™ืช ื‘ืื•ืคืŸ ืงื‘ื•ืข ื•ืœืœื ืชืžื•ืจื” ืžื‘ื ื™ ืžืฉืคื—ื” ืื• ืžื’ื•ืจื ื‘ืงื”ื™ืœื” ื›ื’ื•ืŸ ืขืžื•ืชื”, ื”ืกื›ื•ื ืœื ื™ื—ืฉื‘ ื›ื”ื›ื ืกื” ืœืฆื•ืจืš ื”ื–ื›ืื•ืช ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื”. ืขื ื–ืืช, ืกื›ื•ืžื™ ืชืžื™ื›ื” ื’ื‘ื•ื”ื™ื ื‘ืื•ืคืŸ ื—ืจื™ื’ ืขืœื•ืœื™ื ืœืคื’ื•ืข ื‘ื–ื›ืื•ืช ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื”. ืชืฉืœื•ืžื™ื ืฉื”ื—ื•ืง ืœื ืงื•ื‘ืข ืœื’ื‘ื™ื”ื ื‘ืžืคื•ืจืฉ ื›ื™ ื”ื ืื™ื ื ื ื—ืฉื‘ื™ื ืœื”ื›ื ืกื”, ื™ื•ื‘ืื• ื‘ื—ืฉื‘ื•ืŸ ื‘ืžืกื’ืจืช ืžื‘ื—ืŸ ื”ื”ื›ื ืกื•ืช. ื›ืžื• ื›ืŸ, ื™ืฉื ื ืžืขื ืงื™ื ืฉื ืงื‘ืข ื‘ืžืคื•ืจืฉ ื‘ื—ื•ืง ื›ื™ ื”ื ื™ื™ื—ืฉื‘ื• ื›ื”ื›ื ืกื”. ืœืžื™ื“ืข ื ื•ืกืฃ ืจืื•: ื–ื›ืื•ืช ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ("ื”ื›ื ืกื•ืช ื•ื ื›ืกื™ื")'],
    ['query: ืžื” ืกื›ื•ื ื”ื”ื›ื ืกื” ื”ื ืžื•ืš ืฉื‘ื’ื™ื ื• ืืคืฉืจ ืœืงื‘ืœ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”', 'passage: ืžื“ืจื™ืš ืœืงื‘ืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื’ื•ื‘ื” ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื’ื•ืจืžื™ื ืฉื ืœืงื—ื™ื ื‘ื—ืฉื‘ื•ืŸ ืœืฆื•ืจืš ื—ื™ืฉื•ื‘ ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื‘ืขืช ื‘ืงืฉืช ื”ื”ื‘ื˜ื—ื” ื™ืฉ ืœื“ื•ื•ื— ืขืœ ื”ื”ื›ื ืกื•ืช ื•ื”ื ื›ืกื™ื ื”ื‘ืื™ื: ื”ื›ื ืกื•ืช ืžืขื‘ื•ื“ื” ืฉื•ื•ื™ ืจื›ื‘ ื ื›ืกื™ื ืคื™ื ื ืกื™ื™ื ื›ื’ื•ืŸ ื—ืกื›ื•ื ื•ืช ื•ืคืง"ืž. ืฉื•ื•ื™ ืขืจืš ื ื“ืœ"ืŸ ื›ืคื™ ืฉื™ื™ืงื‘ืข ืขืœ ื™ื“ื™ ืฉืžืื™ ืžื•ืกืžืš ืžื˜ืขื ื”ืžื•ืกื“ ืœื‘ื™ื˜ื•ื— ืœืื•ืžื™ ื•ื‘ื”ืชืื ืœืžืฆื‘ ื”ืžืฉืคื—ืชื™, ืžืกืคืจ ื”ื™ืœื“ื™ื ื•ื’ื™ืœ ืžื‘ืงืฉ ื”ื’ืžืœื”. ืœืžื™ื“ืข ื ื•ืกืฃ ืจืื•: ื–ื›ืื•ืช ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ("ื”ื›ื ืกื•ืช ื•ื ื›ืกื™ื") ื–ื›ืื•ืช ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื•ื‘ืขืœื•ืช ืขืœ ืจื›ื‘'],
    ['query: ืžื” ืกื›ื•ื ื”ื”ื›ื ืกื” ื”ื ืžื•ืš ืฉื‘ื’ื™ื ื• ืืคืฉืจ ืœืงื‘ืœ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”', 'passage: ื”ื’ื‘ืœืช ืฉื›ืจ ื˜ืจื—ื” ืขื‘ื•ืจ ืกื™ื•ืข ืื• ื™ื™ืฆื•ื’ ื‘ืชื‘ื™ืขื” ืœืงืฆื‘ืช ื ื›ื•ืช ื•ืžืขื ืง ื ื›ื•ืช ืœื ืคื’ืขื™ ืขื‘ื•ื“ื” ื—ื™ืฉื•ื‘ ืฉื›ืจ ื”ื˜ืจื—ื” ื‘ืžืงืจื™ื ื‘ื”ื ื”ืชื•ื‘ืข ืงื™ื‘ืœ ื’ืžืœื” ืœืคื ื™ ืฉื”ื’ื™ืฉ ืืช ื”ืชื‘ื™ืขื” ื›ืืฉืจ ื”ืชื•ื‘ืข ืงื™ื‘ืœ ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืื ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืฉื•ืœืžื” ืœืžื‘ื•ื˜ื— ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื•ื›ืชื•ืฆืื” ืžื”ืชื‘ื™ืขื” ื”ื•ื ืžืงื‘ืœ ืงืฆื‘ืช ื ื›ื•ืช ืœื ืคื’ืขื™ ืขื‘ื•ื“ื” ื‘ื ื•ืกืฃ ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”, ืœืฉื›ืจ ื”ื˜ืจื—ื” ื™ืชื•ื•ืกืฃ ืชืฉืœื•ื ืกื›ื•ื ื™ืกื•ื“ (907 โ‚ช ื ื›ื•ืŸ ืœ-2024). ืœืžื‘ื•ื˜ื— ืฉื•ืœืžื” ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื‘ืกืš 1,800 โ‚ช. ื”ืžื‘ื•ื˜ื— ืคื ื” ืœืขื•ืจืš ื“ื™ืŸ ืฉื™ื™ืฆื’ ืื•ืชื• ื‘ืชื‘ื™ืขื” ืœืงื‘ืœืช ืงืฆื‘ืช ื ื›ื•ืช ืžืขื‘ื•ื“ื”, ื›ื•ืœืœ ื™ื™ืฆื•ื’ ื‘ื•ื•ืขื“ื” ื”ืจืคื•ืื™ืช, ืœืœื ืชืฉืœื•ื ื“ืžื™ ืคืชื™ื—ืช ืชื™ืง. ื”ืชื‘ื™ืขื” ื”ืชืงื‘ืœื” ื•ื ืงื‘ืขื” ืงืฆื‘ื” ื‘ืกืš 2,400 โ‚ช. ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื”ื™ื” 907 โ‚ช ื•-17% ืžื”ืงืฆื‘ื” ืœืžืฉืš 60 ื—ื•ื“ืฉื™ื (ืจืื• ื˜ื‘ืœื” ืœืขื™ืœ). ืื ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืฉื•ืœืžื” ืœืžื‘ื•ื˜ื— ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”, ื•ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื”ื•ืคืกืงื” ื‘ืขืงื‘ื•ืช ืงื‘ื™ืขืช ื”ื–ื›ืื•ืช ืœืงืฆื‘ืช ื”ื ื›ื•ืช, ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื—ื•ืฉื‘ ืขืœ ืคื™ ื”ื”ืคืจืฉ ื‘ื™ืŸ ื”ืงืฆื‘ืื•ืช, ื•ื™ืชื•ื•ืกืฃ ืชืฉืœื•ื ืกื›ื•ื ื™ืกื•ื“ (907 โ‚ช ื ื›ื•ืŸ ืœ-2024). ืœืžื‘ื•ื˜ื— ืฉื•ืœืžื” ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื‘ืกืš 1,400 โ‚ช. ื”ืžื‘ื•ื˜ื— ืคื ื” ืœืขื•ืจืš ื“ื™ืŸ ืฉื™ื™ืฆื’ ืื•ืชื• ื‘ืชื‘ื™ืขื” ืœืงื‘ืœืช ืงืฆื‘ืช ื ื›ื•ืช ืžืขื‘ื•ื“ื”, ื›ื•ืœืœ ื™ื™ืฆื•ื’ ื‘ื•ื•ืขื“ื” ื”ืจืคื•ืื™ืช, ืœืœื ืชืฉืœื•ื ื“ืžื™ ืคืชื™ื—ืช ืชื™ืง. ื”ืชื‘ื™ืขื” ื”ืชืงื‘ืœื” ื•ื ืงื‘ืขื” ืงืฆื‘ืช ื ื›ื•ืช ื‘ืกืš 3,800 โ‚ช. ื‘ืขืงื‘ื•ืช ืงื‘ืœืช ืงืฆื‘ืช ื”ื ื›ื•ืช, ื ืžืฆื ืฉื”ืชื•ื‘ืข ื›ื‘ืจ ืื™ื ื• ื–ื›ืื™ ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ืฉืงื™ื‘ืœ, ื•ื–ื• ื”ื•ืคืกืงื”. ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื”ื™ื” ืกื›ื•ื ื”ื™ืกื•ื“ ื‘ืกืš 907 โ‚ช ื•-17% ืžื”ื”ืคืจืฉ ื‘ื™ืŸ ื”ืงืฆื‘ืื•ืช (17% ืž-2,400 โ‚ช, ืฉื”ื 408 โ‚ช) ืœืžืฉืš 60 ื—ื•ื“ืฉื™ื.'],
    ['query: ืžื” ืกื›ื•ื ื”ื”ื›ื ืกื” ื”ื ืžื•ืš ืฉื‘ื’ื™ื ื• ืืคืฉืจ ืœืงื‘ืœ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”', 'passage: ื”ื’ื‘ืœืช ืฉื›ืจ ื˜ืจื—ื” ืขื‘ื•ืจ ืกื™ื•ืข ืื• ื™ื™ืฆื•ื’ ื‘ืชื‘ื™ืขื” ืœื’ืžืœืช ื ื›ื•ืช ืžืชื ื“ื‘ื™ื ื—ื™ืฉื•ื‘ ืฉื›ืจ ื”ื˜ืจื—ื” ื‘ืžืงืจื™ื ื‘ื”ื ื”ืชื•ื‘ืข ืงื™ื‘ืœ ื’ืžืœื” ืœืคื ื™ ืฉื”ื’ื™ืฉ ืืช ื”ืชื‘ื™ืขื” ืชื•ื‘ืข ืฉืงื™ื‘ืœ ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืื ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืฉื•ืœืžื” ืœืžื‘ื•ื˜ื— ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื•ื›ืชื•ืฆืื” ืžื”ืชื‘ื™ืขื” ื”ื•ื ืžืงื‘ืœ ืงืฆื‘ืช ื ื›ื•ืช ื‘ื ื•ืกืฃ ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”, ืœืฉื›ืจ ื”ื˜ืจื—ื” ื™ืชื•ื•ืกืฃ ืชืฉืœื•ื ืกื›ื•ื ื™ืกื•ื“ (907 โ‚ช ื ื›ื•ืŸ ืœ-2024). ืœืžื‘ื•ื˜ื— ืฉื•ืœืžื” ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื‘ืกืš 1,800 โ‚ช. ื”ืžื‘ื•ื˜ื— ืคื ื” ืœืขื•ืจืš ื“ื™ืŸ ืฉื™ื™ืฆื’ ืื•ืชื• ื‘ืชื‘ื™ืขื” ืœืงื‘ืœืช ืงืฆื‘ืช ื ื›ื•ืช ืžืชื ื“ื‘ื™ื, ื›ื•ืœืœ ื™ื™ืฆื•ื’ ื‘ื•ื•ืขื“ื” ื”ืจืคื•ืื™ืช, ืœืœื ืชืฉืœื•ื ื“ืžื™ ืคืชื™ื—ืช ืชื™ืง. ื”ืชื‘ื™ืขื” ื”ืชืงื‘ืœื” ื•ื ืงื‘ืขื” ืงืฆื‘ื” ื‘ืกืš 2,400 โ‚ช. ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื”ื™ื” 907 โ‚ช ื•-17% ืžื”ืงืฆื‘ื” ืœืžืฉืš 60 ื—ื•ื“ืฉื™ื (ืจืื• ื˜ื‘ืœื” ืœืขื™ืœ). ืื ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืฉื•ืœืžื” ืœืžื‘ื•ื˜ื— ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”, ื•ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื”ื•ืคืกืงื” ื‘ืขืงื‘ื•ืช ืงื‘ื™ืขืช ื”ื–ื›ืื•ืช ืœืงืฆื‘ืช ื”ื ื›ื•ืช, ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื—ื•ืฉื‘ ืขืœ-ืคื™ ื”ื”ืคืจืฉ ื‘ื™ืŸ ื”ืงืฆื‘ืื•ืช, ื•ื™ืชื•ื•ืกืฃ ืชืฉืœื•ื ืกื›ื•ื ื™ืกื•ื“ (907 โ‚ช ื ื›ื•ืŸ ืœ-2024). ืœืžื‘ื•ื˜ื— ืฉื•ืœืžื” ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื‘ืกืš 1,400 โ‚ช. ื”ืžื‘ื•ื˜ื— ืคื ื” ืœืขื•ืจืš ื“ื™ืŸ ืฉื™ื™ืฆื’ ืื•ืชื• ื‘ืชื‘ื™ืขื” ืœืงื‘ืœืช ืงืฆื‘ืช ื ื›ื•ืช ืžืชื ื“ื‘ื™ื, ื›ื•ืœืœ ื™ื™ืฆื•ื’ ื‘ื•ื•ืขื“ื” ื”ืจืคื•ืื™ืช, ืœืœื ืชืฉืœื•ื ื“ืžื™ ืคืชื™ื—ืช ืชื™ืง. ื”ืชื‘ื™ืขื” ื”ืชืงื‘ืœื” ื•ื ืงื‘ืขื” ืงืฆื‘ืช ื ื›ื•ืช ื‘ืกืš 3,800 โ‚ช. ื‘ืขืงื‘ื•ืช ืงื‘ืœืช ืงืฆื‘ืช ื”ื ื›ื•ืช, ื ืžืฆื ืฉื”ืชื•ื‘ืข ื›ื‘ืจ ืื™ื ื• ื–ื›ืื™ ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ืฉืงื™ื‘ืœ, ื•ื–ื• ื”ื•ืคืกืงื”. ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื”ื™ื” 907 โ‚ช ื•-17% ืžื”ื”ืคืจืฉ ื‘ื™ืŸ ื”ืงืฆื‘ืื•ืช (17% ืž-2,400 โ‚ช, ืฉื”ื 408 โ‚ช) ื‘ื›ืœ ื—ื•ื“ืฉ, ืœืžืฉืš 60 ื—ื•ื“ืฉื™ื.'],
    ['query: ืžื” ืกื›ื•ื ื”ื”ื›ื ืกื” ื”ื ืžื•ืš ืฉื‘ื’ื™ื ื• ืืคืฉืจ ืœืงื‘ืœ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”', 'passage: ืžื“ืจื™ืš ืœืงื‘ืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื–ื›ืื•ืช ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืื• ื”ืฉืœืžืช ื”ื›ื ืกื” ืžื™ ืฉืขื•ืžื“ ื‘ืชื ืื™ ื”ื–ื›ืื•ืช ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื”, ื™ื›ื•ืœ ืœื”ื™ื•ืช ื–ื›ืื™ ืœื’ืžืœื” ืžืœืื”, ืื• ืœื’ืžืœื” ื—ืœืงื™ืช ื”ื™ื“ื•ืขื” ื’ื ื‘ืฉื "ื”ืฉืœืžืช ื”ื›ื ืกื”". ื–ื›ืื•ืช ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืžืชืงื™ื™ืžืช ืื ืžืชืงื™ื™ืžื™ื 3 ืชื ืื™ื ืžืฆื˜ื‘ืจื™ื: ืชื•ืฉื‘ื•ืช ื‘ื™ืฉืจืืœ ืœืžืฉืš 24 ื—ื•ื“ืฉื™ื ืจืฆื•ืคื™ื, ืœืžืขื˜ ื‘ืžืงืจื™ื ืžื™ื•ื—ื“ื™ื. ื’ื™ืœ ื”ืžื‘ืงืฉ ืžืขืœ 20, ืœืžืขื˜ ื‘ืžืงืจื™ื ืžื™ื•ื—ื“ื™ื. ื”ืžื‘ืงืฉ ืจืฉื•ื ื‘ืœืฉื›ืช ื”ืชืขืกื•ืงื” ืื• ืžืชื™ื™ืฆื‘ ื‘ื” ื‘ื”ืชืื ืœื”ื ื—ื™ื•ืชื™ื”, ื‘ืฉืœ ืื—ืช ืžื”ืกื™ื‘ื•ืช ื”ื‘ืื•ืช: ื”ื•ื ืžื—ื•ืกืจ ืขื‘ื•ื“ื” ื•ืœืฉื›ืช ื”ืชืขืกื•ืงื” ื˜ืจื ื”ืฆื™ืขื” ืœื• ืขื‘ื•ื“ื” ื”ืชื•ืืžืช ืืช ืžืฆื‘ ื‘ืจื™ืื•ืชื• ื•ื›ื•ืฉืจื• ื”ื’ื•ืคื ื™, ืื• ื”ืคื ืชื” ืื•ืชื• ืœืื‘ื—ื•ืŸ ื•ืœืฉื™ืงื•ื ืžืงืฆื•ืขื™. ื”ื•ื ืžืงื‘ืœ ื“ืžื™ ืื‘ื˜ืœื” ื”ื ืžื•ื›ื™ื ืžืกื›ื•ื ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”. ืฉื™ืจื•ืช ื”ืชืขืกื•ืงื” ื”ืคื ื” ืื•ืชื• ืœื”ืฉืชืœืžื•ืช ืื• ืœื”ืกื‘ื” ืžืงืฆื•ืขื™ืช ื”ื ื™ืชื ื•ืช ื‘ืฉืขื•ืช ื”ื™ื•ื ื•ื‘ืžืฉืš 12 ื—ื•ื“ืฉื™ื ืœื›ืœ ื”ื™ื•ืชืจ, ื•ื”ื•ื ืžืฉืชืชืฃ ื‘ืœื™ืžื•ื“ื™ื ื‘ืื•ืคืŸ ืกื“ื™ืจ. ื”ื•ื ืฉื›ื™ืจ ืฉื”ื›ื ืกืชื• ืžืขื‘ื•ื“ื” ื ืžื•ื›ื” ืžืกื›ื•ื ืžื”ืกื›ื•ื ืฉื ืงื‘ืข ื‘ื˜ื‘ืœื” ืœืคื™ ื ืชื•ื ื™ื• ื”ืื™ืฉื™ื™ื. ื”ื•ื ืขื•ื‘ื“ ื‘ืžืคืขืœ ืžื•ื’ืŸ ื‘ื”ื™ืงืฃ ื”ืขื‘ื•ื“ื” ื”ืžืงื•ื‘ืœ ื‘ืื•ืชื• ืžืคืขืœ. ื”ื•ื ืขืฆืžืื™ ืขื ื”ื›ื ืกื•ืช ื ืžื•ื›ื•ืช. ื›ืžื• ื›ืŸ, ื™ื›ื•ืœื™ื ืœื”ื’ื™ืฉ ืชื‘ื™ืขื” ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืžื‘ืœื™ ืœืขื ื•ืช ืขืœ ื”ืงืจื™ื˜ืจื™ื•ื ื™ื ืฉืฆื•ื™ื ื•: ืœืžื™ื“ืข ื ื•ืกืฃ ืจืื•: ื ืฉื™ื ื”ืฆืคื•ื™ื•ืช ืœืฉื”ื•ืช ื‘ืžืงืœื˜ ืœื ืฉื™ื ื ืคื’ืขื•ืช ืืœื™ืžื•ืช ืžืขืœ 30 ื™ืžื™ื. ืืกื™ืจื™ื ืžืฉื•ื—ืจืจื™ื ืฉืฉื”ื• ื‘ื›ืœื ื™ื•ืชืจ ืžื—ืฆื™ ืฉื ื”. ื–ื›ืื•ืช ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”. ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืœืืกื™ืจื™ื ืžืฉื•ื—ืจืจื™ื.'],
]
scores = model.predict(pairs)
print(scores.shape)
# (5,)

# Or rank different texts based on similarity to a single text
ranks = model.rank(
    'query: ืžื” ืกื›ื•ื ื”ื”ื›ื ืกื” ื”ื ืžื•ืš ืฉื‘ื’ื™ื ื• ืืคืฉืจ ืœืงื‘ืœ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”',
    [
        'passage: ืžื“ืจื™ืš ืœืงื‘ืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื’ื•ื‘ื” ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ืกื›ื•ืžื™ื ืฉืœื ื ืœืงื—ื™ื ื‘ื—ืฉื‘ื•ืŸ ืœืฆื•ืจืš ื—ื™ืฉื•ื‘ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืขืœ ืžื‘ืงืฉ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืœื“ื•ื•ื— ืขืœ ื”ื›ื ืกื•ืชื™ื• ื›ื“ื™ ืœื‘ื“ื•ืง ื–ื›ืื•ืช ืœืงื‘ืœื” ื•ืœื—ืฉื‘ ืืช ืฉื•ื•ื™ื”. ืขื ื–ืืช, ื”ื”ื›ื ืกื•ืช ื”ื‘ืื•ืช ืœื ื ื›ืœืœื•ืช ื‘ื—ื™ืฉื•ื‘ ื–ื”: ืงืฆื‘ืช ื™ืœื“ื™ื ื’ืžืœืช ื™ืœื“ ื ื›ื” ืงืฆื‘ืช ืฉื™ืจื•ืชื™ื ืžื™ื•ื—ื“ื™ื ื’ืžืœืช ื ื™ื™ื“ื•ืช ื’ืžืœืช ืกื™ืขื•ื“ ื“ืžื™ ืžื—ื™ื” ืœืืœืžื ื” ื•ืœื™ืชื•ื ืงืฆื‘ืื•ืช ืžื™ื•ื—ื“ื•ืช ืœื ื›ื™ ืขื‘ื•ื“ื” ืงืฆื‘ื” ืื• ื”ื˜ื‘ื” ื”ืžืฉื•ืœืžืช ืœื ื–ืงืงื™ื ืขืœ ืคื™ ื—ื•ืง ืฉื™ืจื•ืชื™ ื”ืกืขื“ ืชืฉืœื•ืžื™ื ืฉื”ืงื•ื ื’ืจืก ื”ื™ื”ื•ื“ื™ ื”ืขื•ืœืžื™ ืžืฉืœื ืœื—ืกื™ื“ื™ ืื•ืžื•ืช ื”ืขื•ืœื ืชืžื™ื›ื” ื›ืกืคื™ืช ื”ื ื™ืชื ืช ื›ืกื™ื•ืข ื‘ืชืฉืœื•ื ืฉื›ืจ ื“ื™ืจื” ืœืžื™ ืฉืžืฉื›ื™ืจ ืืช ื“ื™ืจืชื• ื•ืฉื•ื›ืจ ื“ื™ืจื” ืื—ืจืช ืœืžื’ื•ืจื™ื•, ืœื ืชื™ืœืงื— ื‘ื—ืฉื‘ื•ืŸ ื”ื”ื›ื ืกื” ืžื”ืฉื›ืจืช ื“ื™ืจืชื• ืฉืื™ื ื” ืขื•ืœื” ืขืœ ืกื›ื•ื ื“ืžื™ ื”ืฉื›ื™ืจื•ืช ืฉื”ื•ื ืžืฉืœื (ื”ื—ืœ ืžื”-01.01.2019) ืชืฉืœื•ืžื™ ืžื–ื•ื ื•ืช ืœืื™ืฉื” ืื• ืœื™ืœื“ื™ื, ื›ืœ ืขื•ื“ ื”ื ืœื ืขื•ืœื™ื ืขืœ ืกื›ื•ื ืงืฆื‘ืช ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื”ืžื’ื™ืขื” ืœื•. ืื ืื“ื ื ืชืžืš ื›ืกืคื™ืช ื‘ืื•ืคืŸ ืงื‘ื•ืข ื•ืœืœื ืชืžื•ืจื” ืžื‘ื ื™ ืžืฉืคื—ื” ืื• ืžื’ื•ืจื ื‘ืงื”ื™ืœื” ื›ื’ื•ืŸ ืขืžื•ืชื”, ื”ืกื›ื•ื ืœื ื™ื—ืฉื‘ ื›ื”ื›ื ืกื” ืœืฆื•ืจืš ื”ื–ื›ืื•ืช ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื”. ืขื ื–ืืช, ืกื›ื•ืžื™ ืชืžื™ื›ื” ื’ื‘ื•ื”ื™ื ื‘ืื•ืคืŸ ื—ืจื™ื’ ืขืœื•ืœื™ื ืœืคื’ื•ืข ื‘ื–ื›ืื•ืช ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื”. ืชืฉืœื•ืžื™ื ืฉื”ื—ื•ืง ืœื ืงื•ื‘ืข ืœื’ื‘ื™ื”ื ื‘ืžืคื•ืจืฉ ื›ื™ ื”ื ืื™ื ื ื ื—ืฉื‘ื™ื ืœื”ื›ื ืกื”, ื™ื•ื‘ืื• ื‘ื—ืฉื‘ื•ืŸ ื‘ืžืกื’ืจืช ืžื‘ื—ืŸ ื”ื”ื›ื ืกื•ืช. ื›ืžื• ื›ืŸ, ื™ืฉื ื ืžืขื ืงื™ื ืฉื ืงื‘ืข ื‘ืžืคื•ืจืฉ ื‘ื—ื•ืง ื›ื™ ื”ื ื™ื™ื—ืฉื‘ื• ื›ื”ื›ื ืกื”. ืœืžื™ื“ืข ื ื•ืกืฃ ืจืื•: ื–ื›ืื•ืช ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ("ื”ื›ื ืกื•ืช ื•ื ื›ืกื™ื")',
        'passage: ืžื“ืจื™ืš ืœืงื‘ืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื’ื•ื‘ื” ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื’ื•ืจืžื™ื ืฉื ืœืงื—ื™ื ื‘ื—ืฉื‘ื•ืŸ ืœืฆื•ืจืš ื—ื™ืฉื•ื‘ ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื‘ืขืช ื‘ืงืฉืช ื”ื”ื‘ื˜ื—ื” ื™ืฉ ืœื“ื•ื•ื— ืขืœ ื”ื”ื›ื ืกื•ืช ื•ื”ื ื›ืกื™ื ื”ื‘ืื™ื: ื”ื›ื ืกื•ืช ืžืขื‘ื•ื“ื” ืฉื•ื•ื™ ืจื›ื‘ ื ื›ืกื™ื ืคื™ื ื ืกื™ื™ื ื›ื’ื•ืŸ ื—ืกื›ื•ื ื•ืช ื•ืคืง"ืž. ืฉื•ื•ื™ ืขืจืš ื ื“ืœ"ืŸ ื›ืคื™ ืฉื™ื™ืงื‘ืข ืขืœ ื™ื“ื™ ืฉืžืื™ ืžื•ืกืžืš ืžื˜ืขื ื”ืžื•ืกื“ ืœื‘ื™ื˜ื•ื— ืœืื•ืžื™ ื•ื‘ื”ืชืื ืœืžืฆื‘ ื”ืžืฉืคื—ืชื™, ืžืกืคืจ ื”ื™ืœื“ื™ื ื•ื’ื™ืœ ืžื‘ืงืฉ ื”ื’ืžืœื”. ืœืžื™ื“ืข ื ื•ืกืฃ ืจืื•: ื–ื›ืื•ืช ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ("ื”ื›ื ืกื•ืช ื•ื ื›ืกื™ื") ื–ื›ืื•ืช ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื•ื‘ืขืœื•ืช ืขืœ ืจื›ื‘',
        'passage: ื”ื’ื‘ืœืช ืฉื›ืจ ื˜ืจื—ื” ืขื‘ื•ืจ ืกื™ื•ืข ืื• ื™ื™ืฆื•ื’ ื‘ืชื‘ื™ืขื” ืœืงืฆื‘ืช ื ื›ื•ืช ื•ืžืขื ืง ื ื›ื•ืช ืœื ืคื’ืขื™ ืขื‘ื•ื“ื” ื—ื™ืฉื•ื‘ ืฉื›ืจ ื”ื˜ืจื—ื” ื‘ืžืงืจื™ื ื‘ื”ื ื”ืชื•ื‘ืข ืงื™ื‘ืœ ื’ืžืœื” ืœืคื ื™ ืฉื”ื’ื™ืฉ ืืช ื”ืชื‘ื™ืขื” ื›ืืฉืจ ื”ืชื•ื‘ืข ืงื™ื‘ืœ ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืื ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืฉื•ืœืžื” ืœืžื‘ื•ื˜ื— ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื•ื›ืชื•ืฆืื” ืžื”ืชื‘ื™ืขื” ื”ื•ื ืžืงื‘ืœ ืงืฆื‘ืช ื ื›ื•ืช ืœื ืคื’ืขื™ ืขื‘ื•ื“ื” ื‘ื ื•ืกืฃ ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”, ืœืฉื›ืจ ื”ื˜ืจื—ื” ื™ืชื•ื•ืกืฃ ืชืฉืœื•ื ืกื›ื•ื ื™ืกื•ื“ (907 โ‚ช ื ื›ื•ืŸ ืœ-2024). ืœืžื‘ื•ื˜ื— ืฉื•ืœืžื” ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื‘ืกืš 1,800 โ‚ช. ื”ืžื‘ื•ื˜ื— ืคื ื” ืœืขื•ืจืš ื“ื™ืŸ ืฉื™ื™ืฆื’ ืื•ืชื• ื‘ืชื‘ื™ืขื” ืœืงื‘ืœืช ืงืฆื‘ืช ื ื›ื•ืช ืžืขื‘ื•ื“ื”, ื›ื•ืœืœ ื™ื™ืฆื•ื’ ื‘ื•ื•ืขื“ื” ื”ืจืคื•ืื™ืช, ืœืœื ืชืฉืœื•ื ื“ืžื™ ืคืชื™ื—ืช ืชื™ืง. ื”ืชื‘ื™ืขื” ื”ืชืงื‘ืœื” ื•ื ืงื‘ืขื” ืงืฆื‘ื” ื‘ืกืš 2,400 โ‚ช. ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื”ื™ื” 907 โ‚ช ื•-17% ืžื”ืงืฆื‘ื” ืœืžืฉืš 60 ื—ื•ื“ืฉื™ื (ืจืื• ื˜ื‘ืœื” ืœืขื™ืœ). ืื ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืฉื•ืœืžื” ืœืžื‘ื•ื˜ื— ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”, ื•ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื”ื•ืคืกืงื” ื‘ืขืงื‘ื•ืช ืงื‘ื™ืขืช ื”ื–ื›ืื•ืช ืœืงืฆื‘ืช ื”ื ื›ื•ืช, ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื—ื•ืฉื‘ ืขืœ ืคื™ ื”ื”ืคืจืฉ ื‘ื™ืŸ ื”ืงืฆื‘ืื•ืช, ื•ื™ืชื•ื•ืกืฃ ืชืฉืœื•ื ืกื›ื•ื ื™ืกื•ื“ (907 โ‚ช ื ื›ื•ืŸ ืœ-2024). ืœืžื‘ื•ื˜ื— ืฉื•ืœืžื” ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื‘ืกืš 1,400 โ‚ช. ื”ืžื‘ื•ื˜ื— ืคื ื” ืœืขื•ืจืš ื“ื™ืŸ ืฉื™ื™ืฆื’ ืื•ืชื• ื‘ืชื‘ื™ืขื” ืœืงื‘ืœืช ืงืฆื‘ืช ื ื›ื•ืช ืžืขื‘ื•ื“ื”, ื›ื•ืœืœ ื™ื™ืฆื•ื’ ื‘ื•ื•ืขื“ื” ื”ืจืคื•ืื™ืช, ืœืœื ืชืฉืœื•ื ื“ืžื™ ืคืชื™ื—ืช ืชื™ืง. ื”ืชื‘ื™ืขื” ื”ืชืงื‘ืœื” ื•ื ืงื‘ืขื” ืงืฆื‘ืช ื ื›ื•ืช ื‘ืกืš 3,800 โ‚ช. ื‘ืขืงื‘ื•ืช ืงื‘ืœืช ืงืฆื‘ืช ื”ื ื›ื•ืช, ื ืžืฆื ืฉื”ืชื•ื‘ืข ื›ื‘ืจ ืื™ื ื• ื–ื›ืื™ ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ืฉืงื™ื‘ืœ, ื•ื–ื• ื”ื•ืคืกืงื”. ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื”ื™ื” ืกื›ื•ื ื”ื™ืกื•ื“ ื‘ืกืš 907 โ‚ช ื•-17% ืžื”ื”ืคืจืฉ ื‘ื™ืŸ ื”ืงืฆื‘ืื•ืช (17% ืž-2,400 โ‚ช, ืฉื”ื 408 โ‚ช) ืœืžืฉืš 60 ื—ื•ื“ืฉื™ื.',
        'passage: ื”ื’ื‘ืœืช ืฉื›ืจ ื˜ืจื—ื” ืขื‘ื•ืจ ืกื™ื•ืข ืื• ื™ื™ืฆื•ื’ ื‘ืชื‘ื™ืขื” ืœื’ืžืœืช ื ื›ื•ืช ืžืชื ื“ื‘ื™ื ื—ื™ืฉื•ื‘ ืฉื›ืจ ื”ื˜ืจื—ื” ื‘ืžืงืจื™ื ื‘ื”ื ื”ืชื•ื‘ืข ืงื™ื‘ืœ ื’ืžืœื” ืœืคื ื™ ืฉื”ื’ื™ืฉ ืืช ื”ืชื‘ื™ืขื” ืชื•ื‘ืข ืฉืงื™ื‘ืœ ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืื ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืฉื•ืœืžื” ืœืžื‘ื•ื˜ื— ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื•ื›ืชื•ืฆืื” ืžื”ืชื‘ื™ืขื” ื”ื•ื ืžืงื‘ืœ ืงืฆื‘ืช ื ื›ื•ืช ื‘ื ื•ืกืฃ ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”, ืœืฉื›ืจ ื”ื˜ืจื—ื” ื™ืชื•ื•ืกืฃ ืชืฉืœื•ื ืกื›ื•ื ื™ืกื•ื“ (907 โ‚ช ื ื›ื•ืŸ ืœ-2024). ืœืžื‘ื•ื˜ื— ืฉื•ืœืžื” ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื‘ืกืš 1,800 โ‚ช. ื”ืžื‘ื•ื˜ื— ืคื ื” ืœืขื•ืจืš ื“ื™ืŸ ืฉื™ื™ืฆื’ ืื•ืชื• ื‘ืชื‘ื™ืขื” ืœืงื‘ืœืช ืงืฆื‘ืช ื ื›ื•ืช ืžืชื ื“ื‘ื™ื, ื›ื•ืœืœ ื™ื™ืฆื•ื’ ื‘ื•ื•ืขื“ื” ื”ืจืคื•ืื™ืช, ืœืœื ืชืฉืœื•ื ื“ืžื™ ืคืชื™ื—ืช ืชื™ืง. ื”ืชื‘ื™ืขื” ื”ืชืงื‘ืœื” ื•ื ืงื‘ืขื” ืงืฆื‘ื” ื‘ืกืš 2,400 โ‚ช. ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื”ื™ื” 907 โ‚ช ื•-17% ืžื”ืงืฆื‘ื” ืœืžืฉืš 60 ื—ื•ื“ืฉื™ื (ืจืื• ื˜ื‘ืœื” ืœืขื™ืœ). ืื ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืฉื•ืœืžื” ืœืžื‘ื•ื˜ื— ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”, ื•ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื”ื•ืคืกืงื” ื‘ืขืงื‘ื•ืช ืงื‘ื™ืขืช ื”ื–ื›ืื•ืช ืœืงืฆื‘ืช ื”ื ื›ื•ืช, ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื—ื•ืฉื‘ ืขืœ-ืคื™ ื”ื”ืคืจืฉ ื‘ื™ืŸ ื”ืงืฆื‘ืื•ืช, ื•ื™ืชื•ื•ืกืฃ ืชืฉืœื•ื ืกื›ื•ื ื™ืกื•ื“ (907 โ‚ช ื ื›ื•ืŸ ืœ-2024). ืœืžื‘ื•ื˜ื— ืฉื•ืœืžื” ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื‘ืกืš 1,400 โ‚ช. ื”ืžื‘ื•ื˜ื— ืคื ื” ืœืขื•ืจืš ื“ื™ืŸ ืฉื™ื™ืฆื’ ืื•ืชื• ื‘ืชื‘ื™ืขื” ืœืงื‘ืœืช ืงืฆื‘ืช ื ื›ื•ืช ืžืชื ื“ื‘ื™ื, ื›ื•ืœืœ ื™ื™ืฆื•ื’ ื‘ื•ื•ืขื“ื” ื”ืจืคื•ืื™ืช, ืœืœื ืชืฉืœื•ื ื“ืžื™ ืคืชื™ื—ืช ืชื™ืง. ื”ืชื‘ื™ืขื” ื”ืชืงื‘ืœื” ื•ื ืงื‘ืขื” ืงืฆื‘ืช ื ื›ื•ืช ื‘ืกืš 3,800 โ‚ช. ื‘ืขืงื‘ื•ืช ืงื‘ืœืช ืงืฆื‘ืช ื”ื ื›ื•ืช, ื ืžืฆื ืฉื”ืชื•ื‘ืข ื›ื‘ืจ ืื™ื ื• ื–ื›ืื™ ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ืฉืงื™ื‘ืœ, ื•ื–ื• ื”ื•ืคืกืงื”. ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื”ื™ื” 907 โ‚ช ื•-17% ืžื”ื”ืคืจืฉ ื‘ื™ืŸ ื”ืงืฆื‘ืื•ืช (17% ืž-2,400 โ‚ช, ืฉื”ื 408 โ‚ช) ื‘ื›ืœ ื—ื•ื“ืฉ, ืœืžืฉืš 60 ื—ื•ื“ืฉื™ื.',
        'passage: ืžื“ืจื™ืš ืœืงื‘ืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื–ื›ืื•ืช ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืื• ื”ืฉืœืžืช ื”ื›ื ืกื” ืžื™ ืฉืขื•ืžื“ ื‘ืชื ืื™ ื”ื–ื›ืื•ืช ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื”, ื™ื›ื•ืœ ืœื”ื™ื•ืช ื–ื›ืื™ ืœื’ืžืœื” ืžืœืื”, ืื• ืœื’ืžืœื” ื—ืœืงื™ืช ื”ื™ื“ื•ืขื” ื’ื ื‘ืฉื "ื”ืฉืœืžืช ื”ื›ื ืกื”". ื–ื›ืื•ืช ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืžืชืงื™ื™ืžืช ืื ืžืชืงื™ื™ืžื™ื 3 ืชื ืื™ื ืžืฆื˜ื‘ืจื™ื: ืชื•ืฉื‘ื•ืช ื‘ื™ืฉืจืืœ ืœืžืฉืš 24 ื—ื•ื“ืฉื™ื ืจืฆื•ืคื™ื, ืœืžืขื˜ ื‘ืžืงืจื™ื ืžื™ื•ื—ื“ื™ื. ื’ื™ืœ ื”ืžื‘ืงืฉ ืžืขืœ 20, ืœืžืขื˜ ื‘ืžืงืจื™ื ืžื™ื•ื—ื“ื™ื. ื”ืžื‘ืงืฉ ืจืฉื•ื ื‘ืœืฉื›ืช ื”ืชืขืกื•ืงื” ืื• ืžืชื™ื™ืฆื‘ ื‘ื” ื‘ื”ืชืื ืœื”ื ื—ื™ื•ืชื™ื”, ื‘ืฉืœ ืื—ืช ืžื”ืกื™ื‘ื•ืช ื”ื‘ืื•ืช: ื”ื•ื ืžื—ื•ืกืจ ืขื‘ื•ื“ื” ื•ืœืฉื›ืช ื”ืชืขืกื•ืงื” ื˜ืจื ื”ืฆื™ืขื” ืœื• ืขื‘ื•ื“ื” ื”ืชื•ืืžืช ืืช ืžืฆื‘ ื‘ืจื™ืื•ืชื• ื•ื›ื•ืฉืจื• ื”ื’ื•ืคื ื™, ืื• ื”ืคื ืชื” ืื•ืชื• ืœืื‘ื—ื•ืŸ ื•ืœืฉื™ืงื•ื ืžืงืฆื•ืขื™. ื”ื•ื ืžืงื‘ืœ ื“ืžื™ ืื‘ื˜ืœื” ื”ื ืžื•ื›ื™ื ืžืกื›ื•ื ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”. ืฉื™ืจื•ืช ื”ืชืขืกื•ืงื” ื”ืคื ื” ืื•ืชื• ืœื”ืฉืชืœืžื•ืช ืื• ืœื”ืกื‘ื” ืžืงืฆื•ืขื™ืช ื”ื ื™ืชื ื•ืช ื‘ืฉืขื•ืช ื”ื™ื•ื ื•ื‘ืžืฉืš 12 ื—ื•ื“ืฉื™ื ืœื›ืœ ื”ื™ื•ืชืจ, ื•ื”ื•ื ืžืฉืชืชืฃ ื‘ืœื™ืžื•ื“ื™ื ื‘ืื•ืคืŸ ืกื“ื™ืจ. ื”ื•ื ืฉื›ื™ืจ ืฉื”ื›ื ืกืชื• ืžืขื‘ื•ื“ื” ื ืžื•ื›ื” ืžืกื›ื•ื ืžื”ืกื›ื•ื ืฉื ืงื‘ืข ื‘ื˜ื‘ืœื” ืœืคื™ ื ืชื•ื ื™ื• ื”ืื™ืฉื™ื™ื. ื”ื•ื ืขื•ื‘ื“ ื‘ืžืคืขืœ ืžื•ื’ืŸ ื‘ื”ื™ืงืฃ ื”ืขื‘ื•ื“ื” ื”ืžืงื•ื‘ืœ ื‘ืื•ืชื• ืžืคืขืœ. ื”ื•ื ืขืฆืžืื™ ืขื ื”ื›ื ืกื•ืช ื ืžื•ื›ื•ืช. ื›ืžื• ื›ืŸ, ื™ื›ื•ืœื™ื ืœื”ื’ื™ืฉ ืชื‘ื™ืขื” ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืžื‘ืœื™ ืœืขื ื•ืช ืขืœ ื”ืงืจื™ื˜ืจื™ื•ื ื™ื ืฉืฆื•ื™ื ื•: ืœืžื™ื“ืข ื ื•ืกืฃ ืจืื•: ื ืฉื™ื ื”ืฆืคื•ื™ื•ืช ืœืฉื”ื•ืช ื‘ืžืงืœื˜ ืœื ืฉื™ื ื ืคื’ืขื•ืช ืืœื™ืžื•ืช ืžืขืœ 30 ื™ืžื™ื. ืืกื™ืจื™ื ืžืฉื•ื—ืจืจื™ื ืฉืฉื”ื• ื‘ื›ืœื ื™ื•ืชืจ ืžื—ืฆื™ ืฉื ื”. ื–ื›ืื•ืช ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”. ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืœืืกื™ืจื™ื ืžืฉื•ื—ืจืจื™ื.',
    ]
)
# [{'corpus_id': ..., 'score': ...}, {'corpus_id': ..., 'score': ...}, ...]
```

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## Training Details

### Training Dataset

#### Unnamed Dataset

* Size: 32,540 training samples
* Columns: <code>query</code>, <code>paragraph</code>, and <code>labels</code>
* Approximate statistics based on the first 1000 samples:
  |         | query                                                                                           | paragraph                                                                                         | labels                                                         |
  |:--------|:------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------|:---------------------------------------------------------------|
  | type    | string                                                                                          | string                                                                                            | float                                                          |
  | details | <ul><li>min: 21 characters</li><li>mean: 50.28 characters</li><li>max: 100 characters</li></ul> | <ul><li>min: 94 characters</li><li>mean: 982.24 characters</li><li>max: 1817 characters</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.19</li><li>max: 1.0</li></ul> |
* Samples:
  | query                                                                                           | paragraph                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                | labels            |
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  | <code>query: ืžื” ื”ืชืฉืœื•ื ืขื‘ื•ืจ ื“ืจื’ื” X ื‘ืžืขื•ืŸ ืื• ืžืฉืคื—ืชื•ืŸ? ืžื” ื”ื–ื›ืื•ืช ืขื‘ื•ืจ ื™ืœื“ ื ื•ืกืฃ ื‘ืžืกื’ืจืช ืžืขื•ืŸ</code> | <code>passage: ื“ืจื’ื•ืช ื”ืฉืชืชืคื•ืช ื‘ืžื™ืžื•ืŸ ืžืขื•ื ื•ืช ื™ื•ื ื•ืžืฉืคื—ืชื•ื ื™ื ื’ื•ื‘ื” ืฉื›ืจ ื”ืœื™ืžื•ื“ ืกื›ื•ืžื™ ื”ืฉืชืชืคื•ืช ื”ืžื“ื™ื ื” ื•ื”ืกื›ื•ืžื™ื ืื•ืชื ืžืฉืœื™ืžื™ื ื”ื”ื•ืจื™ื ืขื‘ื•ืจ ื›ืœ ืื—ืช ืžื”ื“ืจื’ื•ืช, ืžืคื•ืจื˜ื™ื ื‘ื˜ื‘ืœืื•ืช ืฉื›ืจ ืœื™ืžื•ื“. ื”ื˜ื‘ืœืื•ืช ืžื—ื•ืœืงื•ืช ืœืคื™ ืชืขืจื™ืคื™ื ืœื™ืœื“ื™ื ื•ืชืขืจื™ืคื™ื ืœืชื™ื ื•ืงื•ืช: ื’ื•ื‘ื” ืฉื›ืจ ื”ืœื™ืžื•ื“ ื‘ื”ืชืื ืœื“ืจื’ื•ืช ื”ืฉื•ื ื•ืช ืžืคื•ืจื˜ืช ื‘ื˜ื‘ืœืื•ืช ืฉื›ืจ ืœื™ืžื•ื“ ื‘ืžืกื’ืจื•ืช ื™ืœื“ื™ื ื‘ืืชืจ ืžืฉืจื“ ื”ืขื‘ื•ื“ื”. ื”ื“ืจื’ื•ืช ื”ืžื•ืคื™ืขื•ืช ื‘ื˜ื‘ืœืื•ืช ืžื•ืชืืžื•ืช ืœื’ื•ื‘ื” ื”ื”ื›ื ืกื” ืœื ืคืฉ ื‘ืžืฉืคื—ื”. ื›ื›ืœ ืฉื“ืจื’ืช ื”ื–ื›ืื•ืช (ื‘ื˜ื•ื•ื— 12-3) ื ืžื•ื›ื” ื™ื•ืชืจ, ื›ืš ื’ื“ืœื” ื”ืฉืชืชืคื•ืช ื”ืžื“ื™ื ื” ื‘ืชืฉืœื•ื. ืขื‘ื•ืจ ืจืžื•ืช ื”ื”ืฉืชืชืคื•ืช ื”ืžื•ืชืืžื•ืช ืœื’ื•ื‘ื” ื”ื”ื›ื ืกื•ืช, ื™ืฉ ืœื”ื•ืกื™ืฃ ืื• ืœื”ืคื—ื™ืช ื“ืจื’ื•ืช, ืขืœ-ืคื™ ืžืกืคืจ ืžืกืคืจ ื”ื™ืœื“ื™ื ื”ืฉื•ื”ื™ื ื‘ืžืขื•ืŸ ืื• ื‘ืžืฉืคื—ืชื•ืŸ - ืœืžืฉืคื—ื” ืขื ื›ืžื” ื™ืœื“ื™ื ื”ืฉื•ื”ื™ื ื‘ืžืขื•ืŸ ืื• ื‘ืžืฉืคื—ืชื•ืŸ, ืชื•ื’ื“ืœ ืจืžืช ื”ืฉืชืชืคื•ืช ื”ืžื“ื™ื ื” ืขื‘ื•ืจ ื›ืœ ืื—ื“ ืžื”ื™ืœื“ื™ื (ืชื™ืงื‘ืข ื“ืจื’ื” ื ืžื•ื›ื” ื™ื•ืชืจ ื‘ื™ืŸ ื”ื“ืจื’ื•ืช 12-3). ืชื™ื ื•ืงื•ืช ื”ื ืžื™ ืฉื’ื™ืœื ื”ื™ื” ืขื“ 15 ื—ื•ื“ืฉื™ื ื‘-1 ื‘ืกืคื˜ืžื‘ืจ ืฉืœ ืฉื ืช ื”ืœื™ืžื•ื“ื™ื ืืœื™ื” ื ืจืฉืžื•. ื™ืœื“ื™ื ื”ื ืžื™ ืฉื‘-1 ื‘ืกืคื˜ืžื‘ืจ ืฉืœ ืฉื ืช ื”ืœื™ืžื•ื“ื™ื ืืœื™ื” ื ืจืฉืžื•, ื’ื™ืœื ื”ื™ื” ื‘ื™ืŸ 15 ื—ื•ื“ืฉื™ื ื•ื™ื•ื ืœ-33 ื—ื•ื“ืฉื™ื (ืื• ืขื“ ืœื’ื™ืœ 46 ื—ื•ื“ืฉื™ื, ืœืžื™ ืฉื™ืฉ ืœื”ื ืื™ืฉื•ืจ ืžื”ื™ื—ื™ื“ื” ืœื”ืชืคืชื—ื•ืช ื”ื™ืœื“ ื›ื™ ื”ื ืžืขื•ื›ื‘ื™ ื”ืชืคืชื—ื•ืช). ื”ืฉืคืขืช ืžืกืคืจ ื”ื™ืœื“ื™ื ื”ืฉื•ื”ื™ื ื‘ืžืขื•ืŸ/ืžืฉืคื—ืชื•ืŸ ืขืœ ื“ืจื’ืช ื”...</code> | <code>0.5</code>  |
  | <code>query: ืžื” ื”ืชืฉืœื•ื ืขื‘ื•ืจ ื“ืจื’ื” X ื‘ืžืขื•ืŸ ืื• ืžืฉืคื—ืชื•ืŸ? ืžื” ื”ื–ื›ืื•ืช ืขื‘ื•ืจ ื™ืœื“ ื ื•ืกืฃ ื‘ืžืกื’ืจืช ืžืขื•ืŸ</code> | <code>passage: ืกื™ื•ืข ืœื”ื•ืจื™ื ืขืฆืžืื™ื™ื (ื”ื•ืจื™ื ื™ื—ื™ื“ื™ื) ื‘ืžื™ืžื•ืŸ ืžืขื•ื ื•ืช ื™ื•ื ื•ืžืฉืคื—ืชื•ื ื™ื ื”ื•ืจื™ื ืขืฆืžืื™ื™ื (ื”ื•ืจื™ื ื™ื—ื™ื“ื™ื) (/he/ื”ื•ืจื”_ืขืฆืžืื™_(ื”ื•ืจื”_ื™ื—ื™ื“)) ืขืฉื•ื™ื™ื ืœื”ื™ื•ืช ื–ื›ืื™ื ืœืกื™ื•ืข ื‘ืžื™ืžื•ืŸ ืžืขื•ื ื•ืช ื™ื•ื ื•ืžืฉืคื—ืชื•ื ื™ื ืœืคื™ ื“ืจื’ื•ืช ื”ืฉืชืชืคื•ืช (/he/ื“ืจื’ื•ืช_ื”ืฉืชืชืคื•ืช_ื‘ืžื™ืžื•ืŸ_ืžืขื•ื ื•ืช_ื™ื•ื_ื•ืžืฉืคื—ืชื•ื ื™ื) ืฉื ืงื‘ืขื•ืช ื‘ื”ืชืื ืœืจืžืช ื”ื”ื›ื ืกื” ืฉืœื”ื (/he/ืจืžืช_ื”ื”ื›ื ืกื”_ืœื ืคืฉ_ืœืฆื•ืจืš_ืกื™ื•ืข_ื‘ืžื™ืžื•ืŸ_ืžืขื•ื ื•ืช_ื™ื•ื) ื”ื•ืจื™ื ืขืฆืžืื™ื™ื ืฉืขื•ื ื™ื ืขืœ ื”ื’ื“ืจืช ืžื’ื‘ื™ืจื™ ืขื‘ื•ื“ื” (.D7.96.D7.9B.D7.90.D7.95.D7.AA_.D7.A9.D7.9C_.D7.94.D7.95.D7.A8.D7.99.D7.9D_.D7.9E.D7.92.D7.91.D7.99.D7.A8.D7.99_.D7.A2.D7.91.D7.95.D7.93.D7.94) ื–ื›ืื™ื ืœืกื™ื•ืข ืžื•ื’ื“ืœ ื•ื™ืฉืœืžื• 250 ื‘ื—ื•ื“ืฉ ืœื™ืœื“ ืื—ื“ ื•-375 ื‘ื—ื•ื“ืฉ ืœืฉื ื™ ื™ืœื“ื™ื ื›ื“ื™ ืœื”ืงืœ ืขืœ ืฉื™ืœื•ื‘ื ืฉืœ ื”ื•ืจื™ื ื‘ืฉื•ืง ื”ืขื‘ื•ื“ื”, ื”ืžื“ื™ื ื” ืžืกื™ื™ืขืช ืœื”ื ื‘ืžื™ืžื•ืŸ ืžืขื•ื ื•ืช ื™ื•ื ื•ืžืฉืคื—ืชื•ื ื™ื ืžื•ื›ืจื™ื. ื’ื•ื‘ื” ื”ืชืžื™ื›ื” ื‘ื–ื›ืื•ืช ื”ื›ืœืœื™ืช ืฉืœ ื”ื”ื•ืจื™ื (ื–ื•ื’ื•ืช ื”ื•ืจื™ื ืื• ื”ื•ืจื™ื ืขืฆืžืื™ื™ื) ื ืงื‘ืข ืขืœ-ืคื™ ืžืกืคืจ ื“ืจื’ื•ืช ื”ืฉืชืชืคื•ืช ื”ืžืชื‘ืกืกื•ืช ืขืœ ืจืžืช ื”ื”ื›ื ืกื” ืœื ืคืฉ ื‘ืžืฉืคื—ื”. ื”ื•ืจื™ื ืขืฆืžืื™ื™ื (ื”ื•ืจื™ื ื™ื—ื™ื“ื™ื) ืฉืขื•ื ื™ื ืขืœ ื”ื’ื“ืจืช "ืžื’ื‘ื™ืจื™ ืขื‘ื•ื“ื”" (ื‘ื”ืชืื ืœืžืคื•ืจื˜ ื‘ื”ืžืฉืš), ื–ื›ืื™ื ืœืกื™ื•ืข ืžื•ื’ื“ืœ ื•ื™ืฉืœืžื• ืจืง 250 โ‚ช ื‘ื—ื•ื“ืฉ ืขื‘ื•ืจ ื™ืœื“ ืื—ื“ ื•-375 โ‚ช ื‘ื—ื•ื“ืฉ ืขื‘ื•ืจ ืฉื ื™ ื™ืœื“ื™ื. ืœืคืจื˜ื™ื ื•ืžื™ื“ืข ื›ืœืœื™...</code> | <code>0.25</code> |
  | <code>query: ืžื” ื”ืชืฉืœื•ื ืขื‘ื•ืจ ื“ืจื’ื” X ื‘ืžืขื•ืŸ ืื• ืžืฉืคื—ืชื•ืŸ? ืžื” ื”ื–ื›ืื•ืช ืขื‘ื•ืจ ื™ืœื“ ื ื•ืกืฃ ื‘ืžืกื’ืจืช ืžืขื•ืŸ</code> | <code>passage: ื”ืฉืชืชืคื•ืช ื‘ืžื™ืžื•ืŸ ืžืขื•ื ื•ืช ื™ื•ื ื•ืžืฉืคื—ืชื•ื ื™ื ืชื”ืœื™ืš ืžื™ืžื•ืฉ ื”ื–ื›ื•ืช ืื™ืชื•ืจ ืžืกื’ืจืช ืžื•ื›ืจืช ืžืขืจื›ืช ืื™ื ื˜ืจื ื˜ื™ืช (ืžืงื•ื•ื ืช) ืžืืคืฉืจืช ืœืืชืจ ืžืฉืคื—ืชื•ื ื™ื, ืžืขื•ื ื•ืช ื•ืฆื”ืจื•ื ื™ื ื”ื ืžืฆืื™ื ื‘ืคื™ืงื•ื— ืžืžืฉืœืชื™. ื ื™ืชืŸ ืœื‘ืฆืข ื—ื™ืคื•ืฉ ืœืคื™ ื™ืฉื•ื‘, ืกื•ื’ ื”ืžืกื’ืจืช ืื• ืฉื ื”ืžืกื’ืจืช. ืœื›ื ื™ืกื” ืœืžืขืจื›ืช ืœื—ืฆื• ื›ืืŸ. ื”ืชืฉืœื•ื ืœืžืขื•ืŸ/ืžืฉืคื—ืชื•ืŸ ืขื‘ื•ืจ ื—ื•ื“ืฉ ืื•ื’ื•ืกื˜ ื™ื—ื•ืฉื‘ ืชืฉืœื•ื ื‘ืื•ืคืŸ ื™ื—ืกื™ ื‘ื”ืชืื ืœืชืงื•ืคืช ืฉื”ื•ืช ื”ื™ืœื“ ื‘ืžืขื•ืŸ (ื”ืขืœื•ืช ื”ืžืœืื” ืœื—ื•ื“ืฉ ื›ืคื•ืœ ืžืกืคืจ ื”ื—ื•ื“ืฉื™ื ืฉื”ื™ืœื“ ืฉื”ื” ื‘ืžืขื•ืŸ ื—ืœืงื™ 12 ื—ื•ื“ืฉื™ื). ื”ื—ื–ืจ ื›ืกืคื™ ื‘ื”ืชืื ืœื“ืจื’ืช ื”ื”ืฉืชืชืคื•ืช, ื™ื™ื ืชืŸ ืœื”ื•ืจื™ื ืขื‘ื•ืจ ื”ื—ื•ื“ืฉ ืฉื‘ื• ื”ืชืงื‘ืœ ืฉืืœื•ืŸ ื”ื”ืจืฉืžื” ื‘ืžื•ืงื“, ื•ืขื‘ื•ืจ ื”ื—ื•ื“ืฉ ืฉืงื“ื ืœื•. ื”ืฉืชืชืคื•ืช ื‘ื—ื•ื“ืฉ ื”ืจืืฉื•ืŸ ืœื›ื ื™ืกืช ื”ื™ืœื“ ืœืžืกื’ืจืช (ืžืขื•ืŸ ืื• ืžืฉืคื—ืชื•ืŸ): ื”ื•ืจื™ื• ืฉืœ ื™ืœื“ ืฉื ื›ื ืก ืœืžืกื’ืจืช ืขื“ ืœ-15 ื‘ื—ื•ื“ืฉ (ื›ื•ืœืœ ื”-15 ืœื—ื•ื“ืฉ), ื™ื”ื™ื• ื–ื›ืื™ื ืœื”ืฉืชืชืคื•ืช ื”ืžื“ื™ื ื” ืขื‘ื•ืจ ืื•ืชื• ื—ื•ื“ืฉ (ืขืœ-ืคื™ ื”ื“ืจื’ื” ืฉื ืงื‘ืขื” ืœื”ื). ื”ื•ืจื™ื• ืฉืœ ื™ืœื“ ืฉื ื›ื ืก ืœืžืกื’ืจืช ืœืื—ืจ ื”-15 ืœื—ื•ื“ืฉ, ืœื ื™ื”ื™ื• ื–ื›ืื™ื ืœื”ืฉืชืชืคื•ืช ื‘ื—ื•ื“ืฉ ื–ื”. ื‘ืžืงืจื” ื–ื” ื™ื—ื•ื™ื‘ื• ื”ื”ื•ืจื™ื ืœืฉืœื ื“ืžื™ ื”ื—ื–ืงื” ื‘ืื•ืคืŸ ื™ื—ืกื™ ืœื™ืžื™ื ื‘ื”ื ืฉื”ื” ื”ื™ืœื“ ื‘ืžืกื’ืจืช. ื”ื™ืขื“ืจื•ืช ืฉืœ ื”ื™ืœื“ ื”ื™ืขื“ืจื•ืช ืžื”ืžืขื•ืŸ ืœืชืงื•ืคื” ืฉืœ ื™ื•ืชืจ ืž-21 ื™ืžื™ื ืชื™ื—ืฉื‘ ื›ืขื–ื™ื‘ื”, ืืœื ืื ื›ืŸ ื”ื•ืฆื’ื• ื‘ืžื”ืœืš ืชืงื•ืคื” ื–ื• ืื™ืฉื•ืจื™ื ืจืคื•ืื™ื™ื ืขืœ ืžื—ืœื” ืื• ืืฉืคื•ื– ืฉืœ ื”ื™ืœื“. ื”ื™ืขื“ืจื•ืช ...</code> | <code>0.5</code>  |
* Loss: [<code>BinaryCrossEntropyLoss</code>](https://sbert.net/docs/package_reference/cross_encoder/losses.html#binarycrossentropyloss) with these parameters:
  ```json
  {
      "activation_fn": "torch.nn.modules.linear.Identity",
      "pos_weight": null
  }
  ```

### Evaluation Dataset

#### Unnamed Dataset

* Size: 8,140 evaluation samples
* Columns: <code>query</code>, <code>paragraph</code>, and <code>labels</code>
* Approximate statistics based on the first 1000 samples:
  |         | query                                                                                          | paragraph                                                                                          | labels                                                        |
  |:--------|:-----------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------|:--------------------------------------------------------------|
  | type    | string                                                                                         | string                                                                                             | float                                                         |
  | details | <ul><li>min: 26 characters</li><li>mean: 51.8 characters</li><li>max: 101 characters</li></ul> | <ul><li>min: 33 characters</li><li>mean: 1021.83 characters</li><li>max: 1738 characters</li></ul> | <ul><li>min: 0.0</li><li>mean: 0.2</li><li>max: 1.0</li></ul> |
* Samples:
  | query                                                                 | paragraph                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                | labels           |
  |:----------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------|
  | <code>query: ืžื” ืกื›ื•ื ื”ื”ื›ื ืกื” ื”ื ืžื•ืš ืฉื‘ื’ื™ื ื• ืืคืฉืจ ืœืงื‘ืœ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”</code> | <code>passage: ืžื“ืจื™ืš ืœืงื‘ืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื’ื•ื‘ื” ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ืกื›ื•ืžื™ื ืฉืœื ื ืœืงื—ื™ื ื‘ื—ืฉื‘ื•ืŸ ืœืฆื•ืจืš ื—ื™ืฉื•ื‘ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืขืœ ืžื‘ืงืฉ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืœื“ื•ื•ื— ืขืœ ื”ื›ื ืกื•ืชื™ื• ื›ื“ื™ ืœื‘ื“ื•ืง ื–ื›ืื•ืช ืœืงื‘ืœื” ื•ืœื—ืฉื‘ ืืช ืฉื•ื•ื™ื”. ืขื ื–ืืช, ื”ื”ื›ื ืกื•ืช ื”ื‘ืื•ืช ืœื ื ื›ืœืœื•ืช ื‘ื—ื™ืฉื•ื‘ ื–ื”: ืงืฆื‘ืช ื™ืœื“ื™ื ื’ืžืœืช ื™ืœื“ ื ื›ื” ืงืฆื‘ืช ืฉื™ืจื•ืชื™ื ืžื™ื•ื—ื“ื™ื ื’ืžืœืช ื ื™ื™ื“ื•ืช ื’ืžืœืช ืกื™ืขื•ื“ ื“ืžื™ ืžื—ื™ื” ืœืืœืžื ื” ื•ืœื™ืชื•ื ืงืฆื‘ืื•ืช ืžื™ื•ื—ื“ื•ืช ืœื ื›ื™ ืขื‘ื•ื“ื” ืงืฆื‘ื” ืื• ื”ื˜ื‘ื” ื”ืžืฉื•ืœืžืช ืœื ื–ืงืงื™ื ืขืœ ืคื™ ื—ื•ืง ืฉื™ืจื•ืชื™ ื”ืกืขื“ ืชืฉืœื•ืžื™ื ืฉื”ืงื•ื ื’ืจืก ื”ื™ื”ื•ื“ื™ ื”ืขื•ืœืžื™ ืžืฉืœื ืœื—ืกื™ื“ื™ ืื•ืžื•ืช ื”ืขื•ืœื ืชืžื™ื›ื” ื›ืกืคื™ืช ื”ื ื™ืชื ืช ื›ืกื™ื•ืข ื‘ืชืฉืœื•ื ืฉื›ืจ ื“ื™ืจื” ืœืžื™ ืฉืžืฉื›ื™ืจ ืืช ื“ื™ืจืชื• ื•ืฉื•ื›ืจ ื“ื™ืจื” ืื—ืจืช ืœืžื’ื•ืจื™ื•, ืœื ืชื™ืœืงื— ื‘ื—ืฉื‘ื•ืŸ ื”ื”ื›ื ืกื” ืžื”ืฉื›ืจืช ื“ื™ืจืชื• ืฉืื™ื ื” ืขื•ืœื” ืขืœ ืกื›ื•ื ื“ืžื™ ื”ืฉื›ื™ืจื•ืช ืฉื”ื•ื ืžืฉืœื (ื”ื—ืœ ืžื”-01.01.2019) ืชืฉืœื•ืžื™ ืžื–ื•ื ื•ืช ืœืื™ืฉื” ืื• ืœื™ืœื“ื™ื, ื›ืœ ืขื•ื“ ื”ื ืœื ืขื•ืœื™ื ืขืœ ืกื›ื•ื ืงืฆื‘ืช ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื”ืžื’ื™ืขื” ืœื•. ืื ืื“ื ื ืชืžืš ื›ืกืคื™ืช ื‘ืื•ืคืŸ ืงื‘ื•ืข ื•ืœืœื ืชืžื•ืจื” ืžื‘ื ื™ ืžืฉืคื—ื” ืื• ืžื’ื•ืจื ื‘ืงื”ื™ืœื” ื›ื’ื•ืŸ ืขืžื•ืชื”, ื”ืกื›ื•ื ืœื ื™ื—ืฉื‘ ื›ื”ื›ื ืกื” ืœืฆื•ืจืš ื”ื–ื›ืื•ืช ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื”. ืขื ื–ืืช, ืกื›ื•ืžื™ ืชืžื™ื›ื” ื’ื‘ื•ื”ื™ื ื‘ืื•ืคืŸ ื—ืจื™ื’ ืขืœื•ืœื™ื ืœืคื’ื•ืข ื‘ื–ื›ืื•ืช ืœื”ื‘ื˜ื—ืช ื”ื›ื ืกื”. ืชืฉืœื•ืžื™ื ืฉื”ื—ื•ืง ืœื ืงื•ื‘ืข ืœื’ื‘ื™ื”ื ื‘ืžืคื•ืจืฉ ื›ื™ ื”ื ืื™ื ื ื ื—ืฉื‘ื™ื ืœื”ื›ื ืกื”, ื™ื•ื‘ืื• ื‘ื—ืฉื‘ื•ืŸ ื‘ืžืกื’ืจืช ืžื‘ื—ืŸ ื”ื”...</code> | <code>0.0</code> |
  | <code>query: ืžื” ืกื›ื•ื ื”ื”ื›ื ืกื” ื”ื ืžื•ืš ืฉื‘ื’ื™ื ื• ืืคืฉืจ ืœืงื‘ืœ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”</code> | <code>passage: ืžื“ืจื™ืš ืœืงื‘ืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื’ื•ื‘ื” ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื’ื•ืจืžื™ื ืฉื ืœืงื—ื™ื ื‘ื—ืฉื‘ื•ืŸ ืœืฆื•ืจืš ื—ื™ืฉื•ื‘ ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื‘ืขืช ื‘ืงืฉืช ื”ื”ื‘ื˜ื—ื” ื™ืฉ ืœื“ื•ื•ื— ืขืœ ื”ื”ื›ื ืกื•ืช ื•ื”ื ื›ืกื™ื ื”ื‘ืื™ื: ื”ื›ื ืกื•ืช ืžืขื‘ื•ื“ื” ืฉื•ื•ื™ ืจื›ื‘ ื ื›ืกื™ื ืคื™ื ื ืกื™ื™ื ื›ื’ื•ืŸ ื—ืกื›ื•ื ื•ืช ื•ืคืง"ืž. ืฉื•ื•ื™ ืขืจืš ื ื“ืœ"ืŸ ื›ืคื™ ืฉื™ื™ืงื‘ืข ืขืœ ื™ื“ื™ ืฉืžืื™ ืžื•ืกืžืš ืžื˜ืขื ื”ืžื•ืกื“ ืœื‘ื™ื˜ื•ื— ืœืื•ืžื™ ื•ื‘ื”ืชืื ืœืžืฆื‘ ื”ืžืฉืคื—ืชื™, ืžืกืคืจ ื”ื™ืœื“ื™ื ื•ื’ื™ืœ ืžื‘ืงืฉ ื”ื’ืžืœื”. ืœืžื™ื“ืข ื ื•ืกืฃ ืจืื•: ื–ื›ืื•ืช ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ("ื”ื›ื ืกื•ืช ื•ื ื›ืกื™ื") ื–ื›ืื•ืช ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื•ื‘ืขืœื•ืช ืขืœ ืจื›ื‘</code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        | <code>0.0</code> |
  | <code>query: ืžื” ืกื›ื•ื ื”ื”ื›ื ืกื” ื”ื ืžื•ืš ืฉื‘ื’ื™ื ื• ืืคืฉืจ ืœืงื‘ืœ ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”</code> | <code>passage: ื”ื’ื‘ืœืช ืฉื›ืจ ื˜ืจื—ื” ืขื‘ื•ืจ ืกื™ื•ืข ืื• ื™ื™ืฆื•ื’ ื‘ืชื‘ื™ืขื” ืœืงืฆื‘ืช ื ื›ื•ืช ื•ืžืขื ืง ื ื›ื•ืช ืœื ืคื’ืขื™ ืขื‘ื•ื“ื” ื—ื™ืฉื•ื‘ ืฉื›ืจ ื”ื˜ืจื—ื” ื‘ืžืงืจื™ื ื‘ื”ื ื”ืชื•ื‘ืข ืงื™ื‘ืœ ื’ืžืœื” ืœืคื ื™ ืฉื”ื’ื™ืฉ ืืช ื”ืชื‘ื™ืขื” ื›ืืฉืจ ื”ืชื•ื‘ืข ืงื™ื‘ืœ ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืื ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืฉื•ืœืžื” ืœืžื‘ื•ื˜ื— ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื•ื›ืชื•ืฆืื” ืžื”ืชื‘ื™ืขื” ื”ื•ื ืžืงื‘ืœ ืงืฆื‘ืช ื ื›ื•ืช ืœื ืคื’ืขื™ ืขื‘ื•ื“ื” ื‘ื ื•ืกืฃ ืœื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”, ืœืฉื›ืจ ื”ื˜ืจื—ื” ื™ืชื•ื•ืกืฃ ืชืฉืœื•ื ืกื›ื•ื ื™ืกื•ื“ (907 โ‚ช ื ื›ื•ืŸ ืœ-2024). ืœืžื‘ื•ื˜ื— ืฉื•ืœืžื” ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื‘ืกืš 1,800 โ‚ช. ื”ืžื‘ื•ื˜ื— ืคื ื” ืœืขื•ืจืš ื“ื™ืŸ ืฉื™ื™ืฆื’ ืื•ืชื• ื‘ืชื‘ื™ืขื” ืœืงื‘ืœืช ืงืฆื‘ืช ื ื›ื•ืช ืžืขื‘ื•ื“ื”, ื›ื•ืœืœ ื™ื™ืฆื•ื’ ื‘ื•ื•ืขื“ื” ื”ืจืคื•ืื™ืช, ืœืœื ืชืฉืœื•ื ื“ืžื™ ืคืชื™ื—ืช ืชื™ืง. ื”ืชื‘ื™ืขื” ื”ืชืงื‘ืœื” ื•ื ืงื‘ืขื” ืงืฆื‘ื” ื‘ืกืš 2,400 โ‚ช. ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื”ื™ื” 907 โ‚ช ื•-17% ืžื”ืงืฆื‘ื” ืœืžืฉืš 60 ื—ื•ื“ืฉื™ื (ืจืื• ื˜ื‘ืœื” ืœืขื™ืœ). ืื ืœืคื ื™ ื”ื’ืฉืช ื”ืชื‘ื™ืขื” ืฉื•ืœืžื” ืœืžื‘ื•ื˜ื— ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื”, ื•ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื”ื›ื ืกื” ื”ื•ืคืกืงื” ื‘ืขืงื‘ื•ืช ืงื‘ื™ืขืช ื”ื–ื›ืื•ืช ืœืงืฆื‘ืช ื”ื ื›ื•ืช, ืฉื›ืจ ื”ื˜ืจื—ื” ื™ื—ื•ืฉื‘ ืขืœ ืคื™ ื”ื”ืคืจืฉ ื‘ื™ืŸ ื”ืงืฆื‘ืื•ืช, ื•ื™ืชื•ื•ืกืฃ ืชืฉืœื•ื ืกื›ื•ื ื™ืกื•ื“ (907 โ‚ช ื ื›ื•ืŸ ืœ-2024). ืœืžื‘ื•ื˜ื— ืฉื•ืœืžื” ื’ืžืœืช ื”ื‘ื˜ื—ืช ื”ื›ื ืกื” ื‘ืกืš 1,400 โ‚ช. ื”ืžื‘ื•ื˜ื— ืคื ื” ืœืขื•ืจืš ื“ื™ืŸ ืฉื™ื™ืฆื’ ืื•ืชื• ื‘ืชื‘ื™ืขื” ืœืงื‘ืœืช ืงืฆื‘ืช ื ื›ื•ืช ืžืขื‘ื•ื“ื”, ื›ื•ืœืœ ื™ื™ืฆื•ื’ ื‘ื•ื•ืขื“ื” ื”ืจืคื•ืื™ืช, ืœืœื ืชืฉืœื•ื ื“ืžื™ ืคืชื™ื—ืช ืชื™ืง. ื”ืชื‘ื™ืขื”...</code> | <code>0.5</code> |
* Loss: [<code>BinaryCrossEntropyLoss</code>](https://sbert.net/docs/package_reference/cross_encoder/losses.html#binarycrossentropyloss) with these parameters:
  ```json
  {
      "activation_fn": "torch.nn.modules.linear.Identity",
      "pos_weight": null
  }
  ```

### Training Hyperparameters
#### Non-Default Hyperparameters

- `learning_rate`: 5e-06
- `num_train_epochs`: 1
- `warmup_ratio`: 0.1
- `bf16`: True
- `gradient_checkpointing`: True
- `auto_find_batch_size`: True

#### All Hyperparameters
<details><summary>Click to expand</summary>

- `overwrite_output_dir`: False
- `do_predict`: False
- `eval_strategy`: no
- `prediction_loss_only`: True
- `per_device_train_batch_size`: 8
- `per_device_eval_batch_size`: 8
- `per_gpu_train_batch_size`: None
- `per_gpu_eval_batch_size`: None
- `gradient_accumulation_steps`: 1
- `eval_accumulation_steps`: None
- `torch_empty_cache_steps`: None
- `learning_rate`: 5e-06
- `weight_decay`: 0.0
- `adam_beta1`: 0.9
- `adam_beta2`: 0.999
- `adam_epsilon`: 1e-08
- `max_grad_norm`: 1.0
- `num_train_epochs`: 1
- `max_steps`: -1
- `lr_scheduler_type`: linear
- `lr_scheduler_kwargs`: {}
- `warmup_ratio`: 0.1
- `warmup_steps`: 0
- `log_level`: passive
- `log_level_replica`: warning
- `log_on_each_node`: True
- `logging_nan_inf_filter`: True
- `save_safetensors`: True
- `save_on_each_node`: False
- `save_only_model`: False
- `restore_callback_states_from_checkpoint`: False
- `no_cuda`: False
- `use_cpu`: False
- `use_mps_device`: False
- `seed`: 42
- `data_seed`: None
- `jit_mode_eval`: False
- `use_ipex`: False
- `bf16`: True
- `fp16`: False
- `fp16_opt_level`: O1
- `half_precision_backend`: auto
- `bf16_full_eval`: False
- `fp16_full_eval`: False
- `tf32`: None
- `local_rank`: 0
- `ddp_backend`: None
- `tpu_num_cores`: None
- `tpu_metrics_debug`: False
- `debug`: []
- `dataloader_drop_last`: False
- `dataloader_num_workers`: 0
- `dataloader_prefetch_factor`: None
- `past_index`: -1
- `disable_tqdm`: False
- `remove_unused_columns`: True
- `label_names`: None
- `load_best_model_at_end`: False
- `ignore_data_skip`: False
- `fsdp`: []
- `fsdp_min_num_params`: 0
- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
- `fsdp_transformer_layer_cls_to_wrap`: None
- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
- `deepspeed`: None
- `label_smoothing_factor`: 0.0
- `optim`: adamw_torch_fused
- `optim_args`: None
- `adafactor`: False
- `group_by_length`: False
- `length_column_name`: length
- `ddp_find_unused_parameters`: None
- `ddp_bucket_cap_mb`: None
- `ddp_broadcast_buffers`: False
- `dataloader_pin_memory`: True
- `dataloader_persistent_workers`: False
- `skip_memory_metrics`: True
- `use_legacy_prediction_loop`: False
- `push_to_hub`: False
- `resume_from_checkpoint`: None
- `hub_model_id`: None
- `hub_strategy`: every_save
- `hub_private_repo`: None
- `hub_always_push`: False
- `hub_revision`: None
- `gradient_checkpointing`: True
- `gradient_checkpointing_kwargs`: None
- `include_inputs_for_metrics`: False
- `include_for_metrics`: []
- `eval_do_concat_batches`: True
- `fp16_backend`: auto
- `push_to_hub_model_id`: None
- `push_to_hub_organization`: None
- `mp_parameters`: 
- `auto_find_batch_size`: True
- `full_determinism`: False
- `torchdynamo`: None
- `ray_scope`: last
- `ddp_timeout`: 1800
- `torch_compile`: False
- `torch_compile_backend`: None
- `torch_compile_mode`: None
- `include_tokens_per_second`: False
- `include_num_input_tokens_seen`: False
- `neftune_noise_alpha`: None
- `optim_target_modules`: None
- `batch_eval_metrics`: False
- `eval_on_start`: False
- `use_liger_kernel`: False
- `liger_kernel_config`: None
- `eval_use_gather_object`: False
- `average_tokens_across_devices`: False
- `prompts`: None
- `batch_sampler`: batch_sampler
- `multi_dataset_batch_sampler`: proportional
- `router_mapping`: {}
- `learning_rate_mapping`: {}

</details>

### Training Logs
| Epoch  | Step | Training Loss |
|:------:|:----:|:-------------:|
| 0.2001 | 814  | 0.3968        |
| 0.4002 | 1628 | 0.3749        |
| 0.6003 | 2442 | 0.3699        |
| 0.8004 | 3256 | 0.3467        |


### Framework Versions
- Python: 3.12.11
- Sentence Transformers: 5.1.0
- Transformers: 4.55.2
- PyTorch: 2.8.0+cu128
- Accelerate: 1.10.0
- Datasets: 4.0.0
- Tokenizers: 0.21.4

## Citation

### BibTeX

#### Sentence Transformers
```bibtex
@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/1908.10084",
}
```

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