transformers safetensors mbart text2text-generation generated_from_trainer vi en dataset:NghiemAbe/translation-vietnamese-english base_model:facebook/mbart-large-50 base_model:finetune:facebook/mbart-large-50 license:mit autotrain_compatible endpoints_compatible region:us
---
base_model: facebook/mbart-large-50
datasets:
- NghiemAbe/translation-vietnamese-english
language:
- vi
- en
license: mit
metrics:
- bleu
pipeline_tag: text2text-generation
tags:
- generated_from_trainer
model-index:
- name: mbart_EnglistToVietnamese
  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. -->

# mbart_EnglistToVietnamese

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/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