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crossencoder-camembert-base-mmarcoFR-miracl-fr
azat-serikbayev/crossencoder-camembert-base-mmarcoFR-miracl-fr
crossencoder-camembert-base-mmarcoFR-miracl-fr is a machine learning model from azat-serikbayev. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for sentence-transformers. The card lists the license as mit.
This model is a fine-tuned version of 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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At a glance
- Library
- sentence-transformers
- License
- mit
- Model type
- camembert
- Access
- Public
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024
- SHA
- 45725be9
Base models
Datasets
Model card
From the Hugging Face model README
MIRACL Cross-Encoder (fr)
This model is a fine-tuned version of antoinelouis/crossencoder-camembert-base-mmarcoFR on the MIRACL dataset for fr language. It uses hard negative mining with BM25 for better training data.
Training
- The model was trained on MIRACL fr dataset
- Hard negative mining was performed using BM25
- For each query, we used all positive passages and up to 30 negative passages (combination of original negatives and BM25 hard negatives)
Usage
from sentence_transformers.cross_encoder import CrossEncoder
model = CrossEncoder("azat-serikbayev/crossencoder-camembert-base-mmarcoFR-miracl-fr")
scores = model.predict([["query", "document_text"]])
- Library
- sentence-transformers
- Type
- camembert
- License
- mit
- Languages
- fr
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024