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@@ -46,7 +46,7 @@ https://github.com/uhh-lt/ethiopicmodels/blob/master/am/data/NER/train.txt
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  ### Finetuned Models
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- The following models were finetuned using this dataset. The reported precision, recall, and f1 metrics are macro averages.
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  |Model|Size (# params)| Precision | Recall | F1 |
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  | --- | ------------- | --------- |------- | -- |
@@ -55,4 +55,10 @@ The following models were finetuned using this dataset. The reported precision,
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  |bert-mini-amharic|10.7M|0.60|0.67|0.64|
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  |bert-tiny-amharic|4.18M|0.50|0.59|0.54|
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  |xlm-roberta-base|279M|0.69|0.79|0.73|
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- |am-roberta|443M|0.67|0.72|0.69|
 
 
 
 
 
 
 
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  ### Finetuned Models
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+ The following transformer models were finetuned using this dataset. The reported precision, recall, and f1 metrics are macro averages.
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  |Model|Size (# params)| Precision | Recall | F1 |
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  | --- | ------------- | --------- |------- | -- |
 
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  |bert-mini-amharic|10.7M|0.60|0.67|0.64|
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  |bert-tiny-amharic|4.18M|0.50|0.59|0.54|
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  |xlm-roberta-base|279M|0.69|0.79|0.73|
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+ |am-roberta|443M|0.67|0.72|0.69|
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+ #### Code
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+ In this repository, you can find notebooks for finetuning each of the above models using this dataset
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+ - https://github.com/rasyosef/amharic-named-entity-recognition