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---
base_model: harouzie/mbart-translation-en2vi
tags:
- generated_from_trainer
metrics:
- bleu
- sacrebleu
model-index:
- name: mbart-translation-en2vi
results: []
license: mit
datasets:
- harouzie/vi_en-translation
language:
- en
- vi
library_name: transformers
pipeline_tag: translation
---
<!-- 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-translation-en2vi
This model is a fine-tuned version of [harouzie/mbart-translation-en2vi](https://huggingface.co/harouzie/mbart-translation-en2vi) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2959
- Bleu: 75.2497
- Gen Len: 12.1475
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.3171 | 1.0 | 6352 | 0.2997 | 74.9862 | 12.135 |
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3 |