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@@ -14,7 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # malaysia-news-classification-bert-english-skewness-fixed
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2051
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  - Accuracy: 0.8436
 
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  # malaysia-news-classification-bert-english-skewness-fixed
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on tnwei/ms-newspapers dataset.
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+ It is a fixed version of YagiASAFAS/malaysia-news-classification-bert-english, which fixed the skewness of imbalanced distribution among categories.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2051
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  - Accuracy: 0.8436