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@@ -71,11 +71,11 @@ The finetuned model classifies a given Amharic news article into one of the foll
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  #### Fine-tuned Model Performance
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  Since this is a multi-class classification task, the reported precision, recall, and f1 metrics are macro averages.
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- |Model|Accuracy|Precision|Recall|F1|
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- |-----|--------|---------|------|--|
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- |xlm-roberta-base|0.9|0.88|0.88|0.88|
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- |bert-small-amharic|0.89|0.86|0.87|0.86|
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- |bert-mini-amharic|0.87|0.83|0.83|0.83|
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  ## Original CSV and Paper
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  The original csv file can be found in this git repository https://github.com/IsraelAbebe/An-Amharic-News-Text-classification-Dataset
 
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  #### Fine-tuned Model Performance
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  Since this is a multi-class classification task, the reported precision, recall, and f1 metrics are macro averages.
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+ |Model|Size (# params)|Accuracy|Precision|Recall|F1|
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+ |-----|----|--------|---------|------|--|
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+ |xlm-roberta-base|279M|0.9|0.88|0.88|0.88|
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+ |bert-small-amharic|25.7M|0.89|0.86|0.87|0.86|
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+ |bert-mini-amharic|9.67M|0.87|0.83|0.83|0.83|
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  ## Original CSV and Paper
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  The original csv file can be found in this git repository https://github.com/IsraelAbebe/An-Amharic-News-Text-classification-Dataset