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@@ -59,11 +59,18 @@ The **roberta-base-ca-cased-sts** is a Semantic Textual Similarity (STS) model f
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  We used the TE dataset in Catalan called [STS-ca](https://huggingface.co/datasets/projecte-aina/sts-ca) for training and evaluation.
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  ## Evaluation and results
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- Below, the evaluation result on the STS-ca test set:
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- | Task | STS-ca (pearson) |
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- | ------------|:----|
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  | BERTa | **81.20** |
 
 
 
 
 
 
 
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  For more details, check the fine-tuning and evaluation scripts in the official [GitHub repository](https://github.com/projecte-aina/berta).
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  ## Citing
 
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  We used the TE dataset in Catalan called [STS-ca](https://huggingface.co/datasets/projecte-aina/sts-ca) for training and evaluation.
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  ## Evaluation and results
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+ We evaluated the _roberta-base-ca-cased-sts_ on the STS-ca test set against standard multilingual and monolingual baselines:
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+ | Model | STS-ca (Pearson) |
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+ |:------------|:----|
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  | BERTa | **81.20** |
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+ | mBERT | 76.34 |
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+ | XLM-RoBERTa | 75.40 |
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+ | WikiBERT-ca | 77.18 |
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+
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+ | Task | Model | STS-ca (pearson) |
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+ |:------------|:------------|:----|
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+ | Semantic Textual Similarity | roberta-base-ca-cased-sts | **81.20** |
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  For more details, check the fine-tuning and evaluation scripts in the official [GitHub repository](https://github.com/projecte-aina/berta).
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  ## Citing