---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: VN_ja_to_en
  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. -->

# VN_ja_to_en

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0411

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 2.0489        | 1.0   | 10276  | 2.0716          |
| 1.9028        | 2.0   | 20552  | 2.0646          |
| 1.812         | 3.0   | 30828  | 2.0525          |
| 1.7531        | 4.0   | 41104  | 2.0487          |
| 1.7083        | 5.0   | 51380  | 2.0375          |
| 1.6717        | 6.0   | 61656  | 2.0415          |
| 1.6354        | 7.0   | 71932  | 2.0398          |
| 1.6146        | 8.0   | 82208  | 2.0390          |
| 1.5972        | 9.0   | 92484  | 2.0391          |
| 1.582         | 10.0  | 102760 | 2.0411          |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1