transformers safetensors mbart text2text-generation generated_from_trainer 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
library_name: transformers
license: mit
tags:
- generated_from_trainer
model-index:
- name: mbart-50-en-vi
  results: []
---

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# mbart-50-en-vi
For machine translation purpose (specifically English to Vietnamese)

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4921

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.6184        | 1.0000 | 90139 | 0.4921          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu118
- Datasets 3.0.1
- Tokenizers 0.19.1
