File size: 2,004 Bytes
4a2814d 90951b8 4a2814d 90951b8 4a2814d 90951b8 4a2814d 90951b8 4a2814d 90951b8 4a2814d 90951b8 4a2814d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-mul-en
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: x-marian-finetuned-multidataset-kin-to-en
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# x-marian-finetuned-multidataset-kin-to-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-mul-en](https://huggingface.co/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:
- [Digital Umuganda](https://huggingface.co/datasets/DigitalUmuganda/kinyarwanda-english-machine-translation-dataset/tree/main)
- [Masakhane](https://huggingface.co/datasets/masakhane/mafand/viewer/en-kin/validation)
- [Muennighoff](https://huggingface.co/datasets/Muennighoff/flores200)
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
|