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README.md
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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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| --- | ------------- | --------- |------- | -- |
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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
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