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CrossEncoder-camembert-large

Sentence Similarity
Transformers
PyTorch
Safetensors
French
camembert
text-classification
Text
Sentence Similarity
Sentence-Embedding
camembert-base
Eval Results
Inference Endpoints
Model card Files Community
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@@ -85,21 +85,28 @@ test_evaluator(models, output_path="./")
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  ```
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  **Test Result**:
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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 | #params |
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  | ------------- | ------------- | ------------- |------------- |
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  | [Lajavaness/CrossEncoder-camembert-large](https://huggingface.co/dangvantuan/CrossEncoder-camembert-large)| 90.34 |90.15 | 336M |
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  | [dangvantuan/CrossEncoder-camembert-large](https://huggingface.co/dangvantuan/CrossEncoder-camembert-large)| 90.11 |90.01 | 336M |
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  - On test:
 
 
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  **Pearson score**
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- | Model | STS-B | STS12-fr | STS13-fr | STS14-fr | STS15-fr | STS16-fr | SICK-fr
 
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  |---------------------------------------|--------|----------|----------|----------|----------|----------|---------|-----------|
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  | [Lajavaness/CrossEncoder-camembert-large](https://huggingface.co/dangvantuan/CrossEncoder-camembert-large) | 0.8863 | 0.9076 | 0.8824 | 0.9022 | 0.9223 | 0.8231 | 0.8461 |
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  | [dangvantuan/CrossEncoder-camembert-large](https://huggingface.co/dangvantuan/CrossEncoder-camembert-large) | 0.8816 | 0.9012 | 0.8836 | 0.8986 | 0.9204 | 0.8201 | 0.8423 |
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  **Spearman score**
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- | Model | STS-B | STS12-fr | STS13-fr | STS14-fr | STS15-fr | STS16-fr | SICK-fr
 
 
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  |---------------------------------------|--------|----------|----------|----------|----------|----------|---------|-----------|
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  | [Lajavaness/CrossEncoder-camembert-large](https://huggingface.co/dangvantuan/CrossEncoder-camembert-large) | 0.8803 | 0.8487 | 0.8788 | 0.8910 | 0.9216 | 0.8250 | 0.8078 |
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  | [dangvantuan/CrossEncoder-camembert-large](https://huggingface.co/dangvantuan/CrossEncoder-camembert-large) | 0.8757 | 0.8424 | 0.8801 | 0.8862 | 0.9199 | 0.8216 | 0.8038 |
 
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  ```
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  **Test Result**:
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  The performance is measured using Pearson and Spearman correlation:
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+
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  - On dev
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+
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  | Model | Pearson correlation | Spearman correlation | #params |
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  | ------------- | ------------- | ------------- |------------- |
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  | [Lajavaness/CrossEncoder-camembert-large](https://huggingface.co/dangvantuan/CrossEncoder-camembert-large)| 90.34 |90.15 | 336M |
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  | [dangvantuan/CrossEncoder-camembert-large](https://huggingface.co/dangvantuan/CrossEncoder-camembert-large)| 90.11 |90.01 | 336M |
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  - On test:
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+
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+
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  **Pearson score**
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+
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+ | Model | STS-B | STS12-fr | STS13-fr | STS14-fr | STS15-fr | STS16-fr | SICK-fr |
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  |---------------------------------------|--------|----------|----------|----------|----------|----------|---------|-----------|
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  | [Lajavaness/CrossEncoder-camembert-large](https://huggingface.co/dangvantuan/CrossEncoder-camembert-large) | 0.8863 | 0.9076 | 0.8824 | 0.9022 | 0.9223 | 0.8231 | 0.8461 |
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  | [dangvantuan/CrossEncoder-camembert-large](https://huggingface.co/dangvantuan/CrossEncoder-camembert-large) | 0.8816 | 0.9012 | 0.8836 | 0.8986 | 0.9204 | 0.8201 | 0.8423 |
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  **Spearman score**
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+
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+ | Model | STS-B | STS12-fr | STS13-fr | STS14-fr | STS15-fr | STS16-fr | SICK-fr |
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  |---------------------------------------|--------|----------|----------|----------|----------|----------|---------|-----------|
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  | [Lajavaness/CrossEncoder-camembert-large](https://huggingface.co/dangvantuan/CrossEncoder-camembert-large) | 0.8803 | 0.8487 | 0.8788 | 0.8910 | 0.9216 | 0.8250 | 0.8078 |
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  | [dangvantuan/CrossEncoder-camembert-large](https://huggingface.co/dangvantuan/CrossEncoder-camembert-large) | 0.8757 | 0.8424 | 0.8801 | 0.8862 | 0.9199 | 0.8216 | 0.8038 |