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README.md
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@@ -133,22 +133,15 @@ A tiny, evaluation-ready slice of [CodeSearchNet](https://huggingface.co/dataset
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Evaluation can be performed during and after training by integrating with Sentence Transformer's Evaluation module (InformationRetrievalEvaluator).
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##
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| [e5-large-v2](https://huggingface.co/intfloat/e5-large-v2) | **0.7541** | 0.7097 | 0.8124 | 0.6715 | 0.7065 | 0.9386 | 0.6860 |
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| [bge-m3](https://huggingface.co/BAAI/bge-m3) | **0.7094** | 0.6680 | 0.7050 | 0.6154 | 0.6238 | 0.9779 | 0.6662 |
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| [gte-multilingual-base](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) | **0.8112** | 0.7789 | 0.8666 | 0.7344 | 0.7991 | 0.9652 | 0.7231 |
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| [nomic-embed-text-v2-moe](https://huggingface.co/nomic-ai/nomic-embed-text-v2-moe) | **0.7824** | 0.7635 | 0.8343 | 0.6519 | 0.7470 | 0.9852 | 0.7122 |
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| [paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2) | **0.4651** | 0.3978 | 0.4608 | 0.3269 | 0.2183 | 0.9236 | 0.4631 |
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Notes:
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- The above results were computed with `nano_code_search_net_eval.py`.
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- https://huggingface.co/datasets/hotchpotch/NanoCodeSearchNet/blob/main/nano_code_search_net_eval.py
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## What this dataset is
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print(queries[0]["text"])
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```
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### Example eval code
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```bash
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python ./nano_code_search_net_eval.py \
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--model-path intfloat/multilingual-e5-small \
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--query-prompt "query: " \
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--corpus-prompt "passage: "
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```
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For models that require `trust_remote_code`, add `--trust-remote-code` (e.g., `BAAI/bge-m3`).
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## Why Nano?
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- **Fast eval loops**: 50 queries × 10k docs fits comfortably on a single GPU/CPU run.
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Evaluation can be performed during and after training by integrating with Sentence Transformer's Evaluation module (InformationRetrievalEvaluator).
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## Performance Comparison Across Models
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NanoCodeSearchNet Evaluation (NDCG@10)
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| Model | avg | Go | Java | JavaScript | PHP | Python | Ruby |
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| e5-small | 0.7268 | 0.6805 | 0.7884 | 0.6386 | 0.6603 | 0.9142 | 0.6788 |
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| e5-large | 0.7836 | 0.7595 | 0.8287 | 0.6942 | 0.7291 | 0.9513 | 0.7391 |
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| bge-m3 | 0.7107 | 0.6643 | 0.6934 | 0.6138 | 0.6229 | 0.9852 | 0.6844 |
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## What this dataset is
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print(queries[0]["text"])
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```
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## Why Nano?
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- **Fast eval loops**: 50 queries × 10k docs fits comfortably on a single GPU/CPU run.
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