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update readme
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- config.json +2 -2
README.md
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@@ -129,11 +129,12 @@ Ci-dessous, les résultats de l'évaluation du modèle sur le jeu données [`sts
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(données `fr`, split `test`)
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| Model | Pearson Correlation | Paramètres |
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| `h4c5/sts-camembert-base`
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| [`Lajavaness/sentence-camembert-base`](https://huggingface.co/Lajavaness/sentence-camembert-base) |
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| [`inokufu/flaubert-base-uncased-xnli-sts`](https://huggingface.co/inokufu/flaubert-base-uncased-xnli-sts) |
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## Citing
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}
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(données `fr`, split `test`)
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| Model | Pearson Correlation | Paramètres |
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| :--------------------------------------------------------------------------------------------------------------------------------------------- | :-----------------: | ---------: |
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| [`h4c5/sts-camembert-base`](https://huggingface.co/h4c5/sts-camembert-base) | **0.837** | 110M |
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| [`Lajavaness/sentence-camembert-base`](https://huggingface.co/Lajavaness/sentence-camembert-base) | 0.835 | 110M |
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| [`inokufu/flaubert-base-uncased-xnli-sts`](https://huggingface.co/inokufu/flaubert-base-uncased-xnli-sts) | 0.828 | 137M |
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| [`h4c5/sts-distilcamembert-base`](https://huggingface.co/h4c5/sts-distilcamembert-base) | 0.817 | 64M |
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| [`sentence-transformers/distiluse-base-multilingual-cased-v2`](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased) | 0.786 | 135M |
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## Citing
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@inproceedings{reimers-2019-sentence-bert,
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title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
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author = "Reimers, Nils and Gurevych, Iryna",
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booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
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month = "11",
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year = "2019",
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publisher = "Association for Computational Linguistics",
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url = "https://arxiv.org/abs/1908.10084",
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}
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"CamembertModel"
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],
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 32005
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}
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{
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"_name_or_path": "h4c5/sts-camembert-base",
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"architectures": [
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"CamembertModel"
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],
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 32005
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}
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