marian-finetuned-multidataset-kin-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-rw-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7550
- Bleu: 36.2717
Model Description
The model has been fine-tuned to perform machine translation from Kinyarwanda to English.
Intended Uses & Limitations
The primary intended use of this model is for research purposes.
Training and Evaluation Data
The model was fine-tuned using a combination of datasets from the following sources:
For the training of the machine translation model, the dataset underwent the following preprocessing steps:
- Text was converted to lowercase
- Digits were removed
The combined dataset was divided into training and validation sets, with a split of 90% for training and 10% for validation.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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