metadata
license: mit
base_model: facebook/mbart-large-50
tags:
- generated_from_trainer
model-index:
- name: mbart_EnglistToVietnamese
results: []
language:
- vi
- en
metrics:
- bleu
pipeline_tag: text2text-generation
datasets:
- NghiemAbe/translation-vietnamese-english
mbart_EnglistToVietnamese
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 1250 | 1.2577 | 35.2468 | 49.35 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1