---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-zh-vi
tags:
- generated_from_trainer
model-index:
- name: names-opus
  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. -->

# names-opus

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-zh-vi](https://huggingface.co/Helsinki-NLP/opus-mt-zh-vi) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4301

## 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: 0.0002
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6077        | 1.0   | 2039  | 0.5472          |
| 0.5074        | 2.0   | 4078  | 0.4870          |
| 0.4599        | 3.0   | 6117  | 0.4597          |
| 0.4249        | 4.0   | 8156  | 0.4453          |
| 0.3974        | 5.0   | 10195 | 0.4370          |
| 0.3704        | 6.0   | 12234 | 0.4328          |
| 0.3477        | 7.0   | 14273 | 0.4287          |
| 0.325         | 8.0   | 16312 | 0.4278          |
| 0.3096        | 9.0   | 18351 | 0.4296          |
| 0.2934        | 10.0  | 20390 | 0.4301          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0