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@@ -21,17 +21,26 @@ It achieves the following results on the evaluation set:
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  - Loss: 1.7550
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  - Bleu: 36.2717
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- ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
 
 
 
 
 
 
 
 
 
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  ## Training procedure
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  - Loss: 1.7550
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  - Bleu: 36.2717
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+ ## Model Description
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+ The model has been fine-tuned to perform machine translation from Kinyarwanda to English.
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+ ## Intended Uses & Limitations
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+ The primary intended use of this model is for research purposes.
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+ ## Training and Evaluation Data
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+ The model was fine-tuned using a combination of datasets from the following sources:
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+ - [Digital Umuganda](https://huggingface.co/datasets/DigitalUmuganda/kinyarwanda-english-machine-translation-dataset/tree/main)
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+ - [Masakhane](https://huggingface.co/datasets/masakhane/mafand/viewer/en-kin/validation)
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+ - [Muennighoff](https://huggingface.co/datasets/Muennighoff/flores200)
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+
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+ For the training of the machine translation model, the dataset underwent the following preprocessing steps:
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+ - Text was converted to lowercase
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+ - Digits were removed
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+
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+ The combined dataset was divided into training and validation sets, with a split of 90% for training and 10% for validation.
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  ## Training procedure
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