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Update README.md

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@@ -22,8 +22,8 @@ Cased fine-tuned BERT model for Hungarian, trained on a dataset provided by Nati
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  ## Intended uses & limitations
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  The model can be used as any other (cased) BERT model. It has been tested recognizing "accessible" and "original" sentences, where:
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- * "accessible" - "Label_1": sentence, that can be considered as comprehensible (regarding to Plain Language directives)
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- * "original" - "Label_0": sentence, that needs to rephrased in order to follow Plain Language Guidelines.
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  ## Training
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@@ -33,8 +33,8 @@ Fine-tuned version of the original huBERT model (`SZTAKI-HLT/hubert-base-cc`), t
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  | Class | Precision | Recall | F-Score |
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  |-----|------------|------------|------|
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- | **Original / Label_0** | **0.71** | **0.79** | **0.75**|
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- | **Accessible / Label_1** | **0.76** | **0.67** | **0.71**|
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  | **accuracy** | | | **0.73**|
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  | **macro avg** | **0.74** | **0.73** | **0.73**|
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  | **weighted avg** | **0.74** | **0.73** | **0.73**|
 
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  ## Intended uses & limitations
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  The model can be used as any other (cased) BERT model. It has been tested recognizing "accessible" and "original" sentences, where:
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+ * "accessible" - "Label_0": sentence, that can be considered as comprehensible (regarding to Plain Language directives)
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+ * "original" - "Label_1": sentence, that needs to rephrased in order to follow Plain Language Guidelines.
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  ## Training
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  | Class | Precision | Recall | F-Score |
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  |-----|------------|------------|------|
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+ | **Accessible / Label_0** | **0.71** | **0.79** | **0.75**|
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+ | **Original / Label_1** | **0.76** | **0.67** | **0.71**|
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  | **accuracy** | | | **0.73**|
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  | **macro avg** | **0.74** | **0.73** | **0.73**|
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  | **weighted avg** | **0.74** | **0.73** | **0.73**|