---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: VN_ja-en_helsinki
  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-en_helsinki

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: 2.2409
- BLEU: 15.28

## 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: 0.0003
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.6165        | 0.19  | 2000  | 2.6734          |
| 2.3805        | 0.39  | 4000  | 2.6047          |
| 2.2793        | 0.58  | 6000  | 2.5461          |
| 2.2028        | 0.78  | 8000  | 2.5127          |
| 2.1361        | 0.97  | 10000 | 2.4511          |
| 1.9653        | 1.17  | 12000 | 2.4331          |
| 1.934         | 1.36  | 14000 | 2.3840          |
| 1.9002        | 1.56  | 16000 | 2.3901          |
| 1.87          | 1.75  | 18000 | 2.3508          |
| 1.8408        | 1.95  | 20000 | 2.3082          |
| 1.6937        | 2.14  | 22000 | 2.3279          |
| 1.6371        | 2.34  | 24000 | 2.3052          |
| 1.6264        | 2.53  | 26000 | 2.3071          |
| 1.6029        | 2.72  | 28000 | 2.2685          |
| 1.5847        | 2.92  | 30000 | 2.2409          |


### Framework versions

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