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---
base_model: NghiemAbe/mbart_VietnameseToEnglish
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mbart_VietnameseToEnglish_60k
results: []
datasets:
- NghiemAbe/translation-vietnamese-english
language:
- vi
- en
---
<!-- 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. -->
# mbart_VietnameseToEnglish_60k
This model is a fine-tuned version of [NghiemAbe/mbart_VietnameseToEnglish](https://huggingface.co/NghiemAbe/mbart_VietnameseToEnglish) on the None dataset.
It achieves the following results on the evaluation set (size 1000):
- 'eval_loss': 1.2711644172668457,
- 'eval_bleu': 32.5607,
- 'eval_gen_len': 21.2096,
- 'eval_runtime': 952.3829,
- 'eval_samples_per_second': 5.25,
- 'eval_steps_per_second': 0.329
### 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.1212 | 1.0 | 3750 | 1.4557 | 27.1385 | 33.638 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1 |