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@@ -41,11 +41,11 @@ Fine-tuned version of the original `xlm-roberta-large` model, trained on a datas
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  | Class | Precision | Recall | F-Score |
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  | ----- | --------- | ------ | ------- |
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- | **Comprehensible / Label_0** | **0.76** | **0.86** | **0.81** |
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- | **Not comprehensible / Label_1** | **0.83** | **0.72** | **0.77** |
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- | **accuracy** | | | **0.79** |
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- | **macro avg** | **0.80** | **0.79** | **0.79** |
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- | **weighted avg** | **0.79** | **0.79** | **0.79** |
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  ## Usage
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  | Class | Precision | Recall | F-Score |
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  | ----- | --------- | ------ | ------- |
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+ | **Comprehensible / Label_0** | **0.74** | **0.65** | **0.70** |
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+ | **Not comprehensible / Label_1** | **0.71** | **0.79** | **0.74** |
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+ | **accuracy** | | | **0.72** |
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+ | **macro avg** | **0.73** | **0.72** | **0.72** |
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+ | **weighted avg** | **0.72** | **0.72** | **0.72** |
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  ## Usage
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