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README.md
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---
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library_name: sentence-transformers
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- transformers
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datasets:
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- stsb_multi_mt
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---
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# h4c5/sts-camembert-base
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```
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## Citing
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---
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language: fr
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license: mit
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library_name: sentence-transformers
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- transformers
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datasets:
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- stsb_multi_mt
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metrics:
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- pearsonr
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base_model: almanach/camembert-base
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model-index:
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- name: sts-camembert-base
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results:
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- task:
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name: Sentence Similarity
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type: sentence-similarity
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dataset:
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name: STSb French
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type: stsb_multi_mt
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args: fr
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metrics:
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- name: Pearson correlation coefficient
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type: pearsonr
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value: 83.7
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---
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# h4c5/sts-camembert-base
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)
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```
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## Citing
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@article{reimers2019sentence,
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title={Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks},
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author={Nils Reimers, Iryna Gurevych},
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journal={https://arxiv.org/abs/1908.10084},
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year={2019}
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}
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@inproceedings{martin2020camembert,
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title={CamemBERT: a Tasty French Language Model},
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author={Martin, Louis and Muller, Benjamin and Su{\'a}rez, Pedro Javier Ortiz and Dupont, Yoann and Romary, Laurent and de la Clergerie, {\'E}ric Villemonte and Seddah, Djam{\'e} and Sagot, Beno{\^\i}t},
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booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
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year={2020}
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}
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