x-marian-finetuned-multidataset-kin-to-en

This model is a fine-tuned version of Helsinki-NLP/opus-mt-mul-en on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1731
  • Bleu: 42.9597

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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