Fill-Mask
Transformers
PyTorch
xlm-roberta
Inference Endpoints
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@@ -22,7 +22,7 @@ In all cases, this model was finetuned for specific downstream tasks.
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  ## Sentiment regression
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- [ParlaSent dataset](https://huggingface.co/datasets/classla/ParlaSent) to evaluate sentiment regression for Bosnian, Croatian, and Serbian languages.
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  The procedure is explained in greater detail in the dedicated [benchmarking repository](https://github.com/clarinsi/benchich/tree/main/sentiment).
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  | system | train | test | r^2 |
 
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  (entry to be added soon)
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  ## Sentiment regression
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+ [ParlaSent dataset](https://huggingface.co/datasets/classla/ParlaSent) was used to evaluate sentiment regression for Bosnian, Croatian, and Serbian languages.
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  The procedure is explained in greater detail in the dedicated [benchmarking repository](https://github.com/clarinsi/benchich/tree/main/sentiment).
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  | system | train | test | r^2 |