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README.md
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print(sentence_embeddings)
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```
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## Evaluation Results
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The performance is measured using Pearson and Spearman correlation:
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- On dev
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| Model | Pearson correlation | Spearman correlation |
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| ------------- | ------------- | ------------- |
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| [efederici/sentence-BERT-IT-base](https://huggingface.co/dangvantuan/sentence-camembert-large)| 72.6 | 72.5 |
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- On test
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| Model | Pearson correlation | Spearman correlation |
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| ------------- | ------------- | ------------- |
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| [efederici/sentence-BERT-IT-base](https://huggingface.co/dangvantuan/sentence-camembert-large)| 69.0 | 70.0 |
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## Full Model Architecture
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```
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SentenceTransformer(
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print(sentence_embeddings)
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```
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## Full Model Architecture
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```
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SentenceTransformer(
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