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--- |
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license: mit |
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datasets: |
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- miracl/miracl |
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language: |
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- fr |
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metrics: |
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- precision |
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base_model: |
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- antoinelouis/crossencoder-camembert-base-mmarcoFR |
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library_name: sentence-transformers |
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--- |
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# MIRACL Cross-Encoder (fr) |
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This model is a fine-tuned version of [antoinelouis/crossencoder-camembert-base-mmarcoFR](https://huggingface.co/antoinelouis/crossencoder-camembert-base-mmarcoFR) on the MIRACL dataset for fr language. It uses hard negative mining with BM25 for better training data. |
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## Training |
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- The model was trained on MIRACL fr dataset |
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- Hard negative mining was performed using BM25 |
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- For each query, we used all positive passages and up to 30 negative passages (combination of original negatives and BM25 hard negatives) |
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## Usage |
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```python |
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from sentence_transformers.cross_encoder import CrossEncoder |
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model = CrossEncoder("azat-serikbayev/crossencoder-camembert-base-mmarcoFR-miracl-fr") |
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scores = model.predict([["query", "document_text"]]) |
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``` |
