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Quick fix to readme.

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@@ -17,7 +17,7 @@ Text classification model based on [`classla/bcms-bertic`](https://huggingface.c
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  ## Fine-tuning hyperparameters
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- Fine-tuning was performed with `simpletransformers`. Beforehand a brief sweep for the optimal number of epochs was performed and the presumed best value was 9.
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  ```python
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@@ -37,7 +37,7 @@ The same pipeline was run with two other transformer models and `fasttext` for c
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  | xlm-roberta-base | 0.7184 ± 0.0139 |
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  | fasttext + CLARIN.si embeddings | 0.6312 ± 0.0043 |
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- Two best performing models have been compared with the Mann-Whitney U test. (** denotes $p<0.01$).
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  ## Citation
 
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  ## Fine-tuning hyperparameters
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+ Fine-tuning was performed with `simpletransformers`. Beforehand a brief sweep for the optimal number of epochs was performed and the presumed best value was 9. Other arguments were kept default.
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  ```python
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  | xlm-roberta-base | 0.7184 ± 0.0139 |
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  | fasttext + CLARIN.si embeddings | 0.6312 ± 0.0043 |
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+ Two best performing models have been compared with the Mann-Whitney U test to calculate p-values (** denotes p<0.01).
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  ## Citation