metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-vi
tags:
- translation
- generated_from_trainer
datasets:
- kde4
metrics:
- bleu
model-index:
- name: model_machine_translation_en_to_vi
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: kde4
type: kde4
config: en-vi
split: train
args: en-vi
metrics:
- name: Bleu
type: bleu
value: 52.24060367646125
model_machine_translation_en_to_vi
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-vi on the kde4 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1327
- Bleu: 52.2406
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
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: 10
Training results
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3